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10,102,243 | 1 | 2 | 1. A method performed by a system comprising at least one processor coupled to a memory storing machine-executable instructions, which, when executed by the processor, controls the system to perform acts, comprising: receiving a data analysis expression comprising a calculation and a relationship to use for the calculation from multiple relationships between data of two tables of a database; overriding a default relationship of the database with the relationship by setting the relationship as active and other relationships of the multiple relationships as inactive; retrieving data from the two tables for the calculation based on the active relationship; initiating execution of the calculation on the data, wherein execution of the calculation comprises evaluating an expression specified by the calculation on the data retrieved from the two tables; restoring the default relationship after execution of the calculation is complete by setting the default relationship as active and other relationships of the multiple relationships as inactive; and returning a result of execution of the calculation. | 1. A method performed by a system comprising at least one processor coupled to a memory storing machine-executable instructions, which, when executed by the processor, controls the system to perform acts, comprising: receiving a data analysis expression comprising a calculation and a relationship to use for the calculation from multiple relationships between data of two tables of a database; overriding a default relationship of the database with the relationship by setting the relationship as active and other relationships of the multiple relationships as inactive; retrieving data from the two tables for the calculation based on the active relationship; initiating execution of the calculation on the data, wherein execution of the calculation comprises evaluating an expression specified by the calculation on the data retrieved from the two tables; restoring the default relationship after execution of the calculation is complete by setting the default relationship as active and other relationships of the multiple relationships as inactive; and returning a result of execution of the calculation. 2. The method of claim 1 further comprises receiving a function as part of the data analysis expression that includes arguments that identify the relationship. | 0.680723 |
8,312,010 | 2 | 3 | 2. The method of claim 1 , wherein the user actions comprise one or more interactions associated with a first business listing of the business listings in a mapping service. | 2. The method of claim 1 , wherein the user actions comprise one or more interactions associated with a first business listing of the business listings in a mapping service. 3. The method of claim 2 , wherein the interactions comprise a user request to dial a phone number associated with the first business listing. | 0.582353 |
7,778,632 | 15 | 16 | 15. A method that facilitates automation of an action based upon a plurality of factors, comprising: storing, in a memory communicatively coupled to a processor, computer-executable instructions for performing the method of facilitating automation of the action based upon the plurality of factors; executing the instructions on the processor; according to the instructions being executed: obtaining the plurality of factors pertaining to user communication with another user through employment of a communication device, the plurality of factors include an environmental factor, a location factor, and a user state; analyzing each of the obtained plurality of factors to infer an action that a user desires to be performed based at least in part upon historical analysis; translating detected language into a language comprehendible to a user of output, wherein either the detected language or the comprehendible language is determined by operation of a GPS system to obtain a present location and language associated with the present location; automatically scheduling an appointment, wherein scheduling the appointment is based on the analysis of each of the plurality of factors to infer a user intent and to automatically implement the action based at least in part upon a rules-based logic component, wherein the rules based logic component automatically allows execution of the action based upon satisfaction of a defined rule, and based at least in part upon operation of an implementation component configured to identify an individual, the implementation component using an algorithm together with a desired degree of certainty, and based at least in part upon operation of an artificial intelligence component that comprises a classifier function that maps an input attribute vector to a confidence that input associated with the vector belongs to a class, and wherein the class to which an input belongs infers the action that the user desires to be automatically performed; prompting a user with suggestions prior to commencement of the automatically scheduled appointment, wherein the suggestions are based on prediction of weather at a time of the automatically scheduled appointment; and adjusting a time of the automatically scheduled appointment in response to the prediction of the local weather. | 15. A method that facilitates automation of an action based upon a plurality of factors, comprising: storing, in a memory communicatively coupled to a processor, computer-executable instructions for performing the method of facilitating automation of the action based upon the plurality of factors; executing the instructions on the processor; according to the instructions being executed: obtaining the plurality of factors pertaining to user communication with another user through employment of a communication device, the plurality of factors include an environmental factor, a location factor, and a user state; analyzing each of the obtained plurality of factors to infer an action that a user desires to be performed based at least in part upon historical analysis; translating detected language into a language comprehendible to a user of output, wherein either the detected language or the comprehendible language is determined by operation of a GPS system to obtain a present location and language associated with the present location; automatically scheduling an appointment, wherein scheduling the appointment is based on the analysis of each of the plurality of factors to infer a user intent and to automatically implement the action based at least in part upon a rules-based logic component, wherein the rules based logic component automatically allows execution of the action based upon satisfaction of a defined rule, and based at least in part upon operation of an implementation component configured to identify an individual, the implementation component using an algorithm together with a desired degree of certainty, and based at least in part upon operation of an artificial intelligence component that comprises a classifier function that maps an input attribute vector to a confidence that input associated with the vector belongs to a class, and wherein the class to which an input belongs infers the action that the user desires to be automatically performed; prompting a user with suggestions prior to commencement of the automatically scheduled appointment, wherein the suggestions are based on prediction of weather at a time of the automatically scheduled appointment; and adjusting a time of the automatically scheduled appointment in response to the prediction of the local weather. 16. The method of claim 15 , further comprising monitoring the user to facilitate determining the action the user desires to be performed. | 0.554839 |
8,818,929 | 1 | 3 | 1. A method for merging information of high semantic level representing complex situations comprising several items of information or data originating from several sensors, said method being executed on a processor and comprising: acquiring the several items of information or data arising from at least two sensors in raw form and transforming the several items of information or data using said processor to cast the several items of information or data into a form of conceptual graphs, a conceptual graph representing several concepts and relations which exist between the several concepts, a conceptual graph comprising several entity nodes and relation nodes, with a set of concept nodes E defined on a support S, two conceptual graphs G 1 and G 2 defined on the support S, and the two conceptual graphs G 1 and G 2 being stored in a database; defining a knowledge base containing information or data specific to a sector of an application of data merging and rules applied in said sector of the application, and transforming said information or data specific to the sector of the application using the processor to present said information or data specific to the sector of the application in a form of conceptual graphs; determining a merging strategy denoted strategy merge as follows: strategy merge =f merge ◯f comp :E×E→E∪{E×E}, where f merge :{true, false}×E×E→E∪{E×E} is a merge function for merging concept nodes of graphs, and f comp : E×E→{true, false}×E×E is a function for testing compatibility between two concept nodes of the graphs; applying the merging strategy to the information or data arising from the knowledge base and from an observation base taking the form of graphs to produce merged data; and sending the merged data to a decision making system, wherein: the two conceptual graphs G 1 and G 2 have a common generalization H, and projections P 1 :H→G 1 and P 2 :H→G 2 , P 1 and P 2 are compatible according to the function f comp if, for each concept c of the graph H, the following conditions are complied with: P 1 (c) and P 2 (c) have a common sub-type different from an absurd type, referents or components of P 1 (c) and P 2 (c) conform to their most general common sub-type, and the referents of P 1 (c) and P 2 (c) are either equal, or one of the two is undefined, or f comp (P 1 (c), P 2 (c))=(true, P 1 (c), P 2 (c)). | 1. A method for merging information of high semantic level representing complex situations comprising several items of information or data originating from several sensors, said method being executed on a processor and comprising: acquiring the several items of information or data arising from at least two sensors in raw form and transforming the several items of information or data using said processor to cast the several items of information or data into a form of conceptual graphs, a conceptual graph representing several concepts and relations which exist between the several concepts, a conceptual graph comprising several entity nodes and relation nodes, with a set of concept nodes E defined on a support S, two conceptual graphs G 1 and G 2 defined on the support S, and the two conceptual graphs G 1 and G 2 being stored in a database; defining a knowledge base containing information or data specific to a sector of an application of data merging and rules applied in said sector of the application, and transforming said information or data specific to the sector of the application using the processor to present said information or data specific to the sector of the application in a form of conceptual graphs; determining a merging strategy denoted strategy merge as follows: strategy merge =f merge ◯f comp :E×E→E∪{E×E}, where f merge :{true, false}×E×E→E∪{E×E} is a merge function for merging concept nodes of graphs, and f comp : E×E→{true, false}×E×E is a function for testing compatibility between two concept nodes of the graphs; applying the merging strategy to the information or data arising from the knowledge base and from an observation base taking the form of graphs to produce merged data; and sending the merged data to a decision making system, wherein: the two conceptual graphs G 1 and G 2 have a common generalization H, and projections P 1 :H→G 1 and P 2 :H→G 2 , P 1 and P 2 are compatible according to the function f comp if, for each concept c of the graph H, the following conditions are complied with: P 1 (c) and P 2 (c) have a common sub-type different from an absurd type, referents or components of P 1 (c) and P 2 (c) conform to their most general common sub-type, and the referents of P 1 (c) and P 2 (c) are either equal, or one of the two is undefined, or f comp (P 1 (c), P 2 (c))=(true, P 1 (c), P 2 (c)). 3. The method according to claim 1 , wherein a compatibility function f comp is used between two concept nodes c 1 , c 2 of said two conceptual graphs G 1 and G 2 , wherein the compatibility function f comp is determined with respect to a similarity between two elements of the two conceptual graphs G 1 and G 2 to be merged, where f comp (c 1 , c 2 )=sim(c 1 , c 2 ) is greater than or equal to a threshold value. | 0.64 |
9,110,873 | 11 | 14 | 11. A computer-implemented method for generating a platform-independent data application, comprising: receiving, in a platform-independent format, a definition of application information for providing a description of the platform-independent data application, wherein the application information comprises meta-information about the platform-independent data application; receiving, in the platform-independent format, a definition of a data schema for defining data types and definition relationships between the data types; receiving, in the platform-independent format, a definition of a form for displaying and editing data stored in the data types through a display device and a definition of a report for presenting the data stored in the data types through a printing device; receiving, in the platform-independent format, a definition of business logic at a data level for enforcing validation rules and actions associated with the data types and a definition of business logic at a form level for enforcing validation rules and actions associated with the form; and generating the platform-independent data application in a markup language file including the definition of the application information, the definition of the data schema, the definition of the form, the definition of the report, the definition of business logic at the data level, and the definition of business logic at the form level, the markup language file implementing the platform-independent format and being executable within an application program from the definitions of the data schema, user interface, and business logic. | 11. A computer-implemented method for generating a platform-independent data application, comprising: receiving, in a platform-independent format, a definition of application information for providing a description of the platform-independent data application, wherein the application information comprises meta-information about the platform-independent data application; receiving, in the platform-independent format, a definition of a data schema for defining data types and definition relationships between the data types; receiving, in the platform-independent format, a definition of a form for displaying and editing data stored in the data types through a display device and a definition of a report for presenting the data stored in the data types through a printing device; receiving, in the platform-independent format, a definition of business logic at a data level for enforcing validation rules and actions associated with the data types and a definition of business logic at a form level for enforcing validation rules and actions associated with the form; and generating the platform-independent data application in a markup language file including the definition of the application information, the definition of the data schema, the definition of the form, the definition of the report, the definition of business logic at the data level, and the definition of business logic at the form level, the markup language file implementing the platform-independent format and being executable within an application program from the definitions of the data schema, user interface, and business logic. 14. The computer-implemented method of claim 11 , further comprising providing the platform-independent data application to a server computer adapted to implement the platform-independent data application through a web application over a computer network. | 0.677215 |
7,478,043 | 18 | 19 | 18. A speech analysis system comprising: a plurality of sensors for receiving signals; a sampler configured to sample and quantize the signals to form a sampled signal; and a spectral estimation component configured to estimate spectral parameters corresponding to speech of a talker, the spectral estimation component including: a codebook configured to store parameters corresponding to a plurality of hypothesized spectral envelopes, and a discriminant function calculation component configured to evaluate a likelihood of the hypothesized spectral envelopes corresponding to the speech of the talker based on application of a discriminant function evaluated using a preconditioned conjugate gradient (PCG) process configured for block Toeplitz type matrices with a block size corresponding to the number of sensors. | 18. A speech analysis system comprising: a plurality of sensors for receiving signals; a sampler configured to sample and quantize the signals to form a sampled signal; and a spectral estimation component configured to estimate spectral parameters corresponding to speech of a talker, the spectral estimation component including: a codebook configured to store parameters corresponding to a plurality of hypothesized spectral envelopes, and a discriminant function calculation component configured to evaluate a likelihood of the hypothesized spectral envelopes corresponding to the speech of the talker based on application of a discriminant function evaluated using a preconditioned conjugate gradient (PCG) process configured for block Toeplitz type matrices with a block size corresponding to the number of sensors. 19. The speech analysis system of claim 18 , wherein the plurality of sensors includes a microphone. | 0.915541 |
8,055,605 | 17 | 18 | 17. The system of claim 11 , wherein the multiple search dimensions comprise a time dimension. | 17. The system of claim 11 , wherein the multiple search dimensions comprise a time dimension. 18. The system of claim 17 , wherein the time dimension comprises a start time. | 0.529762 |
8,631,036 | 15 | 16 | 15. The method of claim 1 , comprising customizing, based on the user profile data, the first search result for receipt by the user. | 15. The method of claim 1 , comprising customizing, based on the user profile data, the first search result for receipt by the user. 16. The method of claim 15 , wherein customizing, based on the user profile data, the first search result comprises at least one of aurally enhancing the first search result, visually enhancing the first search result, textually enhancing the first search result, anecdotally enhancing the first search result, and logically enhancing the first search result. | 0.5 |
7,539,296 | 1 | 2 | 1. A method of processing a call received by a call center, comprising the steps of: obtaining a call at the call center; automatically identifying at least one of an accent and a language spoken by a caller making the call; directing the call to an appropriate operator at a first level of the call center based on at least one of the automatically identified accent and the automatically identified language, wherein the appropriate operator of the first level of the call center is at least familiar with at least one of the automatically identified accent and the automatically identified language spoken by the caller; estimating a plurality of costs comprising a cost associated with automatically translating original speech associated with the call and a cost associated with restating the original speech associated with the call into a form that is simpler than the original speech, wherein the speech associated with the call comprises speech attributable to the caller and speech attributable to the operator at the first level; responsive to the estimated plurality of costs, automatically translating at least one of the original speech associated with the call and the restated speech associated with the call from at least one of the automatically identified accent and the automatically identified language spoken by the caller to at least one of an accent and a language understood by an operator at a second level of the call center; and editing one or more portions of the translated speech based at least in part on a confusability of the one or more portions; wherein the step of automatically identifying at least one of an accent and a language spoken by a caller making the call comprises identifying the caller using one or more of biometrics, a profile history, and a code. | 1. A method of processing a call received by a call center, comprising the steps of: obtaining a call at the call center; automatically identifying at least one of an accent and a language spoken by a caller making the call; directing the call to an appropriate operator at a first level of the call center based on at least one of the automatically identified accent and the automatically identified language, wherein the appropriate operator of the first level of the call center is at least familiar with at least one of the automatically identified accent and the automatically identified language spoken by the caller; estimating a plurality of costs comprising a cost associated with automatically translating original speech associated with the call and a cost associated with restating the original speech associated with the call into a form that is simpler than the original speech, wherein the speech associated with the call comprises speech attributable to the caller and speech attributable to the operator at the first level; responsive to the estimated plurality of costs, automatically translating at least one of the original speech associated with the call and the restated speech associated with the call from at least one of the automatically identified accent and the automatically identified language spoken by the caller to at least one of an accent and a language understood by an operator at a second level of the call center; and editing one or more portions of the translated speech based at least in part on a confusability of the one or more portions; wherein the step of automatically identifying at least one of an accent and a language spoken by a caller making the call comprises identifying the caller using one or more of biometrics, a profile history, and a code. 2. The method of claim 1 , further comprising the step of decoding the speech prior to translating the speech. | 0.817276 |
8,051,138 | 1 | 2 | 1. A machine implemented method, comprising: receiving user input from a user; in response to the user input, accessing a plurality of electronic mail messages (emails), including a certain email, that are part of an email conversation; extracting content from each of the accessed emails, including the certain email; automatically generating a composite email which includes the content extracted from each of the accessed emails; obtaining a set of markup information indicating one or more markups that were previously made to the content of the certain email, wherein the set of markup information is separate from the content of the certain email; and applying the one or more markups to the content of the certain email to derive a marked up version of the content of the certain email in the composite email. | 1. A machine implemented method, comprising: receiving user input from a user; in response to the user input, accessing a plurality of electronic mail messages (emails), including a certain email, that are part of an email conversation; extracting content from each of the accessed emails, including the certain email; automatically generating a composite email which includes the content extracted from each of the accessed emails; obtaining a set of markup information indicating one or more markups that were previously made to the content of the certain email, wherein the set of markup information is separate from the content of the certain email; and applying the one or more markups to the content of the certain email to derive a marked up version of the content of the certain email in the composite email. 2. The method of claim 1 , wherein the one or more markups include one or more of the following: (a) highlighting of one or more portions of the content of the certain email; (b) underlining of one or more portions of the content of the certain email; (c) strike through of one or more portions of the content of the certain email. | 0.669661 |
9,715,576 | 6 | 7 | 6. The method according to claim 5 , further comprising at least one of the steps of: analyzing the dynamically generated text phrases, manually or artificially derived, by a qualified professional representative to serve as the basis of a decoder table; and analyzing the dynamically generated text phrases, manually or artificially derived, by a qualified professional representative to ensure accuracy of the decoder table or translation table. | 6. The method according to claim 5 , further comprising at least one of the steps of: analyzing the dynamically generated text phrases, manually or artificially derived, by a qualified professional representative to serve as the basis of a decoder table; and analyzing the dynamically generated text phrases, manually or artificially derived, by a qualified professional representative to ensure accuracy of the decoder table or translation table. 7. The method according to claim 6 , further comprising the steps of: generating at least one of a secondary color coding, a cell fill color, a background fill color, a text font or a style change to key text phrases (text data (or alphanumeric string) or alphanumeric string(s)) to serve as the basis of a decoder table; matching the at least one secondary color coding, cell fill color, background fill color, text font or style changes to the key text phrases to generate at least one of a decode table, decode columns, translation table, or translation columns; and, dynamically generating at least one of a similar secondary color coding, cell fill color, background fill color, text font or style change to key text phrases in a repetitive manner using at least one of manual input or function (formula) derivation. | 0.5 |
9,706,403 | 21 | 22 | 21. The non-transitory computer-readable medium of claim 20 , further comprising executable instructions operative to cause the at least one processor of the mobile device of the enrollee to: record, using a global positioning system (GPS) receiver on the mobile device of the enrollee, a GPS location of the mobile device of the enrollee. | 21. The non-transitory computer-readable medium of claim 20 , further comprising executable instructions operative to cause the at least one processor of the mobile device of the enrollee to: record, using a global positioning system (GPS) receiver on the mobile device of the enrollee, a GPS location of the mobile device of the enrollee. 22. The non-transitory computer-readable medium of claim 21 , wherein the GPS location is recorded between receiving the first alert and receiving a second alert requiring the enrollee to perform a second check-in. | 0.5 |
9,886,703 | 22 | 24 | 22. The method of claim 19 , further comprising determining a weight associated with each respective one of the one or more probable geographical areas using historical data. | 22. The method of claim 19 , further comprising determining a weight associated with each respective one of the one or more probable geographical areas using historical data. 24. The method of claim 22 , wherein the first location components include a set of geographical coordinates, wherein the one or more probable geographical areas include a first probable geographical area corresponding to a first group of the one or more location component groups, the first group including the set of geographical coordinates, the method further comprising: generating a smaller region within the first probable geographical area using the set of geographical coordinates, and dividing the weight associated with the first probable geographical area into a smaller weight associated with the first probable geographical area and a larger weight associated with the smaller region. | 0.5 |
8,954,319 | 1 | 2 | 1. A method comprising: at each turn in a dialog, nominating via a processor, using a partially observable Markov decision process in parallel with a conventional dialog state, a set of allowed dialog actions and a set of contextual features; and generating a response based on the set of contextual features and a dialog action selected, via a machine learning algorithm, from the set of allowed dialog actions. | 1. A method comprising: at each turn in a dialog, nominating via a processor, using a partially observable Markov decision process in parallel with a conventional dialog state, a set of allowed dialog actions and a set of contextual features; and generating a response based on the set of contextual features and a dialog action selected, via a machine learning algorithm, from the set of allowed dialog actions. 2. The method of claim 1 , further comprising using reinforcement learning to augment the machine learning algorithm. | 0.74115 |
7,590,647 | 1 | 2 | 1. A computer program product for use with a computer, the computer program product comprising a computer usable medium having a computer readable program code embodied therein for automating a process of structuring the tabular data from unstructured documents, the unstructured documents comprising tabular and non-tabular data, the structuring of the tabular data from the unstructured documents being performed by accessing and processing a plurality of rules without programming of the plurality of rules, the rules being modeled as meta-data and stored as the meta-data in a database to provide flexibility of adding and modifying the rules, the computer program product comprising: a. program instruction means for identifying a table of interest from the tabular and non-tabular data in an unstructured document by processing a set of table identification rules without programming the set of table identification rules, the set of table identification rules being based on semantic descriptions, format, structure, grammar and content of the tabular and non-tabular data in the unstructured document; b. program instruction means for confirming the identified table by processing a set of table confirmation rules without programming the set of table confirmation rules, the set of table confirmation rules being used to verify that the identified table is a table of interest; c. program instruction means for tokenizing the content of the identified table into tokens by processing a set of parsing rules without programming the set of parsing rules; d. program instruction means for interpreting the tokenized content of the identified table, the tokenized content being interpreted with reference to a standardized template including a standardized set of data fields, the program instruction means for interpreting the tokenized content comprises program instruction means for: i. arranging the tokenized content of the identified table into one or more sections by processing a set of section identification rules without programming the set of section identification rules; and ii. mapping the tokenized content of each of the one or more sections onto the standardized set of data fields, by processing a set of interpretation rules without programming the set of interpretation rules; e. program instruction means for standardizing the interpreted content of the identified table by processing a set of standardization rules without programming the set of standardization rules, wherein the program instruction means for standardizing of the interpreted content comprises program instruction means for: i. aggregating the mapped tokenized content of the interpreted content of the identified table; and ii. standardizing sign representation for numeric data of the interpreted content by processing a set of sign standardization rules without programming the set of sign standardization rules, the sign representation being standardized when different instances of the same token of the interpreted content of the identified table being represented with opposite signs; f. program instruction means for providing hyperlinks between the unstructured document and one or more steps of the process of structuring the tabular data, the one or more steps of the process of structuring of the tabular data comprise identifying the table, confirming the identified table, tokenizing the content of the identified table, interpreting the tokenized content, and standardizing the interpreted content, the hyperlinks being provided to enable a user to navigate back to the unstructured document from the one or more steps; and g. program instruction means for outputting the standardized table through a user interface. | 1. A computer program product for use with a computer, the computer program product comprising a computer usable medium having a computer readable program code embodied therein for automating a process of structuring the tabular data from unstructured documents, the unstructured documents comprising tabular and non-tabular data, the structuring of the tabular data from the unstructured documents being performed by accessing and processing a plurality of rules without programming of the plurality of rules, the rules being modeled as meta-data and stored as the meta-data in a database to provide flexibility of adding and modifying the rules, the computer program product comprising: a. program instruction means for identifying a table of interest from the tabular and non-tabular data in an unstructured document by processing a set of table identification rules without programming the set of table identification rules, the set of table identification rules being based on semantic descriptions, format, structure, grammar and content of the tabular and non-tabular data in the unstructured document; b. program instruction means for confirming the identified table by processing a set of table confirmation rules without programming the set of table confirmation rules, the set of table confirmation rules being used to verify that the identified table is a table of interest; c. program instruction means for tokenizing the content of the identified table into tokens by processing a set of parsing rules without programming the set of parsing rules; d. program instruction means for interpreting the tokenized content of the identified table, the tokenized content being interpreted with reference to a standardized template including a standardized set of data fields, the program instruction means for interpreting the tokenized content comprises program instruction means for: i. arranging the tokenized content of the identified table into one or more sections by processing a set of section identification rules without programming the set of section identification rules; and ii. mapping the tokenized content of each of the one or more sections onto the standardized set of data fields, by processing a set of interpretation rules without programming the set of interpretation rules; e. program instruction means for standardizing the interpreted content of the identified table by processing a set of standardization rules without programming the set of standardization rules, wherein the program instruction means for standardizing of the interpreted content comprises program instruction means for: i. aggregating the mapped tokenized content of the interpreted content of the identified table; and ii. standardizing sign representation for numeric data of the interpreted content by processing a set of sign standardization rules without programming the set of sign standardization rules, the sign representation being standardized when different instances of the same token of the interpreted content of the identified table being represented with opposite signs; f. program instruction means for providing hyperlinks between the unstructured document and one or more steps of the process of structuring the tabular data, the one or more steps of the process of structuring of the tabular data comprise identifying the table, confirming the identified table, tokenizing the content of the identified table, interpreting the tokenized content, and standardizing the interpreted content, the hyperlinks being provided to enable a user to navigate back to the unstructured document from the one or more steps; and g. program instruction means for outputting the standardized table through a user interface. 2. The computer program product according to claim 1 , wherein the program instruction means for identifying the table includes program instruction means for merging multiple valid instances of the table into a single table by matching lines in the multiple valid instances. | 0.820915 |
8,050,908 | 15 | 16 | 15. The method of claim 5 , wherein expanding the third finite-state automaton is based on at least one of the at least one generated second finite-state automaton and the method further comprises: selecting an edge of the third finite-state automaton, the selected edge labeled with a non-terminal symbol of the context-free grammar; selecting one of the at least one second finite-state automaton that corresponds to the non-terminal symbol with which the selected edge is labeled; replacing the selected edge with the selected second finite-state automaton; and repeating the selecting steps and the replacing step until no edges labeled with one of the non-terminal symbols of the grammar remain in the third finite-state automaton. | 15. The method of claim 5 , wherein expanding the third finite-state automaton is based on at least one of the at least one generated second finite-state automaton and the method further comprises: selecting an edge of the third finite-state automaton, the selected edge labeled with a non-terminal symbol of the context-free grammar; selecting one of the at least one second finite-state automaton that corresponds to the non-terminal symbol with which the selected edge is labeled; replacing the selected edge with the selected second finite-state automaton; and repeating the selecting steps and the replacing step until no edges labeled with one of the non-terminal symbols of the grammar remain in the third finite-state automaton. 16. The method of claim 15 , wherein replacing the selected edge with the selected second finite-state automaton comprises: modifying the selected second finite-state automaton into a new automaton that accepts the non-terminal symbol with which the selected edge is labeled; and substituting that edge with the new automaton. | 0.5 |
8,150,857 | 12 | 15 | 12. A computer-implemented system for disciplining data input to a multi-contextual and multi-dimensional database, the system comprising: means for providing a template from a storage, the template identifying subject matter specific settings, wherein the settings comprise a default ontology or taxonomy, and wherein the template includes a template identification and a version; means for generating, via a processor, a new record based on the template and an existing record; means for scoring, via the processor, the new record on a relative scale based on the quality of the information in the new record, wherein the quality of information depends in part upon the quality of the credentials with regard to a source entity, data generation device or software, or author associated with the new record; and means for assigning, via the processor, a unique identification code to the new record including a reference to the template identification and version. | 12. A computer-implemented system for disciplining data input to a multi-contextual and multi-dimensional database, the system comprising: means for providing a template from a storage, the template identifying subject matter specific settings, wherein the settings comprise a default ontology or taxonomy, and wherein the template includes a template identification and a version; means for generating, via a processor, a new record based on the template and an existing record; means for scoring, via the processor, the new record on a relative scale based on the quality of the information in the new record, wherein the quality of information depends in part upon the quality of the credentials with regard to a source entity, data generation device or software, or author associated with the new record; and means for assigning, via the processor, a unique identification code to the new record including a reference to the template identification and version. 15. The system of claim 12 , wherein the settings additionally comprise a reserved word or phrase list, and restricted value ranges. | 0.769231 |
7,630,992 | 10 | 12 | 10. A method for generating a reduced rank approximation for information retrieval, comprising: forming on a computer a part-by-collection matrix A, wherein the elements of the matrix represent the existence of one or more parts within one or more collections; estimating via the computer a plurality of singular values corresponding to at least one of a plurality of probabilistic distributions on parts; identifying via the computer a plurality of actual singular values each having a corresponding singular vector; selecting via the computer a subset of the actual singular values based on actual singular values that correspond to at least one of the estimated singular values; and determining via the computer a set of singular vectors based on the selected singular values, wherein the singular vectors provide an index for use during information retrieval. | 10. A method for generating a reduced rank approximation for information retrieval, comprising: forming on a computer a part-by-collection matrix A, wherein the elements of the matrix represent the existence of one or more parts within one or more collections; estimating via the computer a plurality of singular values corresponding to at least one of a plurality of probabilistic distributions on parts; identifying via the computer a plurality of actual singular values each having a corresponding singular vector; selecting via the computer a subset of the actual singular values based on actual singular values that correspond to at least one of the estimated singular values; and determining via the computer a set of singular vectors based on the selected singular values, wherein the singular vectors provide an index for use during information retrieval. 12. The method of claim 10 , further comprising the step of identifying a probabilistic matrix model, the model comprising one or more probabilities representing the number of occurrences of one or more parts within one or more collections, the collections relating to a probabilistic distribution on parts. | 0.5 |
7,725,923 | 2 | 7 | 2. A structured-document processing device implemented on a computer, wherein the computer is configured as the structured-document processing device, comprising: storage means configured to store contents of both (i) a source structured document which has been parsed and (ii) a result of parsing structured partitions of the source structured document; matching check means configured to perform a matching check on whether or not source contents of the source structured document and contents of a new structured document match each other by comparing one of the structured partitions of the source structured document and a corresponding structured partition of the new structured document one by one in order starting from a head of both the source and new structured documents; classification means configured to classify each of the structured partitions of the new structured document into two categories, that is a first-class structured partition and a second- class structured partition, based on a result of performing the matching check concerning each of the structured partitions; parsing means configured to parse a structured partition which the classification means has classified as a second-class structured partition and generating a new parsed partition as a result of parsing the structured partition; and posting means configured to post to an application program (i) an event concerning each of the structured partitions in order from a structured partition in the head of the new structured document to a structured partition in a tail of the new structured document, (ii) an event concerning a source parsed partition of the source structured document corresponding to each of the structured partitions of the new structured document as a result of parsing the structured partition if the structured partition is a first-class structured partition, and (iii) an event concerning a new parsed partition concerning a structured partition as a result of parsing the structured partition if the structured partition is a second-class structured partition. | 2. A structured-document processing device implemented on a computer, wherein the computer is configured as the structured-document processing device, comprising: storage means configured to store contents of both (i) a source structured document which has been parsed and (ii) a result of parsing structured partitions of the source structured document; matching check means configured to perform a matching check on whether or not source contents of the source structured document and contents of a new structured document match each other by comparing one of the structured partitions of the source structured document and a corresponding structured partition of the new structured document one by one in order starting from a head of both the source and new structured documents; classification means configured to classify each of the structured partitions of the new structured document into two categories, that is a first-class structured partition and a second- class structured partition, based on a result of performing the matching check concerning each of the structured partitions; parsing means configured to parse a structured partition which the classification means has classified as a second-class structured partition and generating a new parsed partition as a result of parsing the structured partition; and posting means configured to post to an application program (i) an event concerning each of the structured partitions in order from a structured partition in the head of the new structured document to a structured partition in a tail of the new structured document, (ii) an event concerning a source parsed partition of the source structured document corresponding to each of the structured partitions of the new structured document as a result of parsing the structured partition if the structured partition is a first-class structured partition, and (iii) an event concerning a new parsed partition concerning a structured partition as a result of parsing the structured partition if the structured partition is a second-class structured partition. 7. The structured document processing device according to claim 2 , further comprising: difference amount calculating means configured to increase a difference amount between a content of the new structured document and a content of the source structured document by one unit each time it is decided that a result of performing the matching check is No; and classification means configured to classify all of the structured partitions, ranging from (i) a structured partition on which the matching check has been performed for the last time to (ii) a structured partition in the tail of the new structured document, as second-class structured partitions after the difference amount exceeds a threshold value. | 0.89289 |
8,826,179 | 1 | 3 | 1. A user-interface method for selecting a subset of items from a collection of items in response to search criteria including keystrokes entered by a user from a keypad and including metadata associated with a previously selected search result, the method comprising: a. receiving a sequence of keystrokes entered by a user searching for desired items, each keystroke of the sequence associated with an alphabetical or numerical symbol, wherein the symbols associated with each keystroke of the sequence of keystrokes represent at least a portion of a sequence of symbols representing the desired items; b. in response to receiving the keystrokes, performing a first search operation on the collection of items based on the sequence of keystrokes to retrieve a first subset of items from the collection of items and corresponding metadata associated with the first subset of items, wherein the metadata associated with each item of the first subset of items matches the symbols in association with each keystroke of the sequence of keystrokes; c. presenting on a display device the first subset of items; d. receiving a selection of one of the items of the first subset of items from the user; e. in response to a locking operation received from the user, performing a second search operation on the collection of items based on at least a portion of the metadata associated with the selected item to retrieve a second subset of items from the collection of items, wherein at least a portion of the metadata associated with each item of the second subset of items matches the portion of the metadata associated with the selected item; and f. presenting on the display device the second subset of items. | 1. A user-interface method for selecting a subset of items from a collection of items in response to search criteria including keystrokes entered by a user from a keypad and including metadata associated with a previously selected search result, the method comprising: a. receiving a sequence of keystrokes entered by a user searching for desired items, each keystroke of the sequence associated with an alphabetical or numerical symbol, wherein the symbols associated with each keystroke of the sequence of keystrokes represent at least a portion of a sequence of symbols representing the desired items; b. in response to receiving the keystrokes, performing a first search operation on the collection of items based on the sequence of keystrokes to retrieve a first subset of items from the collection of items and corresponding metadata associated with the first subset of items, wherein the metadata associated with each item of the first subset of items matches the symbols in association with each keystroke of the sequence of keystrokes; c. presenting on a display device the first subset of items; d. receiving a selection of one of the items of the first subset of items from the user; e. in response to a locking operation received from the user, performing a second search operation on the collection of items based on at least a portion of the metadata associated with the selected item to retrieve a second subset of items from the collection of items, wherein at least a portion of the metadata associated with each item of the second subset of items matches the portion of the metadata associated with the selected item; and f. presenting on the display device the second subset of items. 3. The method of claim 1 , wherein the metadata term associated with the selected item is a metadata term describing a concept associated with the selected item of the first subset so that only items associated with the concept of the selected item are selected and presented in the subsequent searching and presenting steps. | 0.660042 |
8,762,318 | 13 | 15 | 13. The system of claim 12 , the behavior of the user is determined using the user's web page interaction data and the trained model is trained using other users' web page interaction data, the instructions further comprising instructions to: generate an incremental user scoring vector using the current item and an item cluster membership vector for the item in the trained model, the item cluster membership vector identifying the item's cluster score for each cluster identified in the trained model, the item's cluster score comprising a probability that the item belongs to the cluster; and generate the short-term cluster membership vector using the incremental user scoring vector. | 13. The system of claim 12 , the behavior of the user is determined using the user's web page interaction data and the trained model is trained using other users' web page interaction data, the instructions further comprising instructions to: generate an incremental user scoring vector using the current item and an item cluster membership vector for the item in the trained model, the item cluster membership vector identifying the item's cluster score for each cluster identified in the trained model, the item's cluster score comprising a probability that the item belongs to the cluster; and generate the short-term cluster membership vector using the incremental user scoring vector. 15. The system of claim 13 , the instructions to generate the plurality of scores further comprising instructions to: determine, for each item of the plurality of scored items, a product for each cluster association of the item, the product being determined using the item's cluster score and the probability that the user belongs to the cluster; and aggregate the plurality of products. | 0.5 |
9,240,177 | 12 | 13 | 12. The method of claim 1 , further comprising applying active learning to identify one of problematic speech units and problematic phrases within the in-domain inventory of synthesis speech units. | 12. The method of claim 1 , further comprising applying active learning to identify one of problematic speech units and problematic phrases within the in-domain inventory of synthesis speech units. 13. The method of claim 12 , further comprising: recording one of words and phrases according to the one of problematic speech units and problematic phrases; and integrating the one of words and phrases into the in-domain inventory of synthesis speech units. | 0.683047 |
8,121,904 | 22 | 28 | 22. A method of generating a customized output with a computer system to facilitate a sale of a tangible product, the method comprising: receiving via a computer system, answers to a plurality of questions related to at least one of a desired feature and a desired use by a customer of a tangible product for sale; automatically selecting by the computer system, in response to at least one of the answers, an image of the tangible product for sale, an image of an environment in which the tangible product for sale is to be used, and a text segment comprised of a description of product specifications and performances that are of particular interest to the customer; and integrating the selected images and selected text segment into a proposal for the sale of the tangible product for the customer such that a single composite customized output representing the tangible product in the environment in which the tangible product is to be used along with said text segment can be generated, wherein the single composite customized output is generated by a selection device operatively interconnected to an active database, the active database configured to electronically store customer information obtained via the answers, and operatively connected to a static database, the static database electronically storing at least one of (a) text, (b) pictures or (c) text and pictures relating to at least one product; and the computer system dynamically building a template utilizing the selection device to fill in the template to produce the composite customized output. | 22. A method of generating a customized output with a computer system to facilitate a sale of a tangible product, the method comprising: receiving via a computer system, answers to a plurality of questions related to at least one of a desired feature and a desired use by a customer of a tangible product for sale; automatically selecting by the computer system, in response to at least one of the answers, an image of the tangible product for sale, an image of an environment in which the tangible product for sale is to be used, and a text segment comprised of a description of product specifications and performances that are of particular interest to the customer; and integrating the selected images and selected text segment into a proposal for the sale of the tangible product for the customer such that a single composite customized output representing the tangible product in the environment in which the tangible product is to be used along with said text segment can be generated, wherein the single composite customized output is generated by a selection device operatively interconnected to an active database, the active database configured to electronically store customer information obtained via the answers, and operatively connected to a static database, the static database electronically storing at least one of (a) text, (b) pictures or (c) text and pictures relating to at least one product; and the computer system dynamically building a template utilizing the selection device to fill in the template to produce the composite customized output. 28. The method of claim 22 wherein the computer system stores a plurality of product specifications related to producing the tangible product in a variety of configurations, and the method further comprises linking at least one of the answers with one of the plurality of product specifications for inclusion in the composite customized output. | 0.536388 |
9,582,494 | 16 | 18 | 16. A system, comprising: a memory; a processor coupled to the memory; and one or more software components executed by the processor that is configured to: receive as input the presentation-oriented document (POD) and a set of descriptors, the POD comprising content elements are spatially arranged in a given layout organization for presenting contents to human users, wherein the processor is configured to process PODs having different formats, including webpage formats and Portable Document Format (PDF) formats, and wherein the set of descriptors that define the objects to extract from the POD by defining both spatial relationships between objects in the POD as well as semantics of the objects expressed as zero more attributes comprising the objects; use the set of descriptors to identify content elements in the POD that match the attributes in the set of descriptors defining the objects, and assign semantic annotations to the identified content elements based on the descriptors; create a semantic and spatial document model (SSDM) containing one or more of spatial structures of the identified content elements, presentation/visual features of the identified content elements, and the semantic annotations assigned to the identified contents elements; extract the identified content elements from the POD based on the set of descriptors and the SSDM to create a set of object instances; and perform at least one of: i) using the object instances to generate semantic and spatial wrappers that can be reused on a different POD, and ii) storing the object instances in a data repository. | 16. A system, comprising: a memory; a processor coupled to the memory; and one or more software components executed by the processor that is configured to: receive as input the presentation-oriented document (POD) and a set of descriptors, the POD comprising content elements are spatially arranged in a given layout organization for presenting contents to human users, wherein the processor is configured to process PODs having different formats, including webpage formats and Portable Document Format (PDF) formats, and wherein the set of descriptors that define the objects to extract from the POD by defining both spatial relationships between objects in the POD as well as semantics of the objects expressed as zero more attributes comprising the objects; use the set of descriptors to identify content elements in the POD that match the attributes in the set of descriptors defining the objects, and assign semantic annotations to the identified content elements based on the descriptors; create a semantic and spatial document model (SSDM) containing one or more of spatial structures of the identified content elements, presentation/visual features of the identified content elements, and the semantic annotations assigned to the identified contents elements; extract the identified content elements from the POD based on the set of descriptors and the SSDM to create a set of object instances; and perform at least one of: i) using the object instances to generate semantic and spatial wrappers that can be reused on a different POD, and ii) storing the object instances in a data repository. 18. The system of claim 16 , wherein the set of descriptors are compiled into a set of compiled annotation descriptors and compiled object descriptors. | 0.874793 |
9,009,144 | 8 | 10 | 8. A system for dynamically identifying and removing potential stopwords from a search query, the system comprising: one or more processors; and a non-transitory machine-readable medium comprising instructions stored therein, which when executed by the processors, cause the processors to perform operations comprising: receiving a search query comprising plural terms; identifying a possible stopword among the plural terms that appears in a predefined list of possible stopwords; determining one or more query splits by matching the search query to one or more query patterns, wherein each query pattern corresponds to a respective rule for interpreting the search query, wherein each query pattern is matched to the search query based on the respective rule, and wherein each query split comprises at least one of a location portion that uses one or more of the plural terms or a subject portion that uses one or more of the plural terms; removing the possible stopword from at least one of the location portion or the subject portion for at least one of the query splits based on a stopword removal rule, wherein the stopword removal rule specifies whether to remove the stopword from the location portion only, the subject portion only, or both the location portion and the subject portion; querying the search engine with the location portion and the subject portion for each of the one or more query splits, and respectively obtaining scored search results for each of the one or more query splits; and selecting the search results returned for at least one of the query splits to return as a response to the search query. | 8. A system for dynamically identifying and removing potential stopwords from a search query, the system comprising: one or more processors; and a non-transitory machine-readable medium comprising instructions stored therein, which when executed by the processors, cause the processors to perform operations comprising: receiving a search query comprising plural terms; identifying a possible stopword among the plural terms that appears in a predefined list of possible stopwords; determining one or more query splits by matching the search query to one or more query patterns, wherein each query pattern corresponds to a respective rule for interpreting the search query, wherein each query pattern is matched to the search query based on the respective rule, and wherein each query split comprises at least one of a location portion that uses one or more of the plural terms or a subject portion that uses one or more of the plural terms; removing the possible stopword from at least one of the location portion or the subject portion for at least one of the query splits based on a stopword removal rule, wherein the stopword removal rule specifies whether to remove the stopword from the location portion only, the subject portion only, or both the location portion and the subject portion; querying the search engine with the location portion and the subject portion for each of the one or more query splits, and respectively obtaining scored search results for each of the one or more query splits; and selecting the search results returned for at least one of the query splits to return as a response to the search query. 10. The system of claim 8 , wherein the selected search results correspond to a query split in which the possible stopword was not removed. | 0.673709 |
9,449,044 | 21 | 22 | 21. The device of claim 20 , where the second name is located to the left of the first name on a command line or in a software code listing. | 21. The device of claim 20 , where the second name is located to the left of the first name on a command line or in a software code listing. 22. The device of claim 21 , wherein the first name is within scope of the second name. | 0.5 |
9,547,673 | 4 | 5 | 4. The method of claim 1 wherein receiving a request for information stored in the first database using a first protocol and transmitting the information received from the first database to the second database using a second protocol comprises: receiving and transmitting resource definition format triplets (“RDF triplets”), respectively. | 4. The method of claim 1 wherein receiving a request for information stored in the first database using a first protocol and transmitting the information received from the first database to the second database using a second protocol comprises: receiving and transmitting resource definition format triplets (“RDF triplets”), respectively. 5. The method of claim 4 wherein receiving a request for information stored in the first database using a first protocol and transmitting the information received from the first database to the second database using a second protocol comprises: receiving and transmitting an RDF triplet whose subject comprises any of a literal value, reference value, and uniform identification number (‘“URI”). | 0.5 |
7,642,932 | 9 | 10 | 9. Apparatus for entering text in a mobile communications device comprising: a mobile communications keypad having a standard array of keys available for entering data; a memory for storing a list of the characters used in a language based on a Thai alphabet to be entered by using the standard array of keys of the mobile communications device, the memory storing said list divided into at least first and second groups; a microprocessor controller of the mobile communications device having computer executable code contained therein for mapping each of the alphabetic characters of the first group to the keys of the keypad and for mapping each of the alphabetic characters of the second group to the keys of the keypad; a dedicated key for selectably switching the keypad between at least a first and second mode of operation; and wherein the microprocessor controller is adapted to switch the characters mapped to said keys between the first group and second group according to the first or second modes of operation respectively in response to operation of the dedicated switch; and wherein the first group is comprised only of consonant characters and the second group comprises only non-consonant characters. | 9. Apparatus for entering text in a mobile communications device comprising: a mobile communications keypad having a standard array of keys available for entering data; a memory for storing a list of the characters used in a language based on a Thai alphabet to be entered by using the standard array of keys of the mobile communications device, the memory storing said list divided into at least first and second groups; a microprocessor controller of the mobile communications device having computer executable code contained therein for mapping each of the alphabetic characters of the first group to the keys of the keypad and for mapping each of the alphabetic characters of the second group to the keys of the keypad; a dedicated key for selectably switching the keypad between at least a first and second mode of operation; and wherein the microprocessor controller is adapted to switch the characters mapped to said keys between the first group and second group according to the first or second modes of operation respectively in response to operation of the dedicated switch; and wherein the first group is comprised only of consonant characters and the second group comprises only non-consonant characters. 10. The apparatus according to claim 9 wherein the computer executable code allows characters to be selected for entry into the mobile communications device by multi-tapping the key to which the character is mapped. | 0.583333 |
7,870,129 | 14 | 23 | 14. A computer program product comprising a computer-readable storage medium including a computer readable program, wherein the computer-readable medium is a member of a set of computer readable media consisting of a semiconductor or solid state memory, a magnetic tape, a removable computer diskette, a rigid magnetic disk, an optical disk, a magnetic storage medium, and volatile and non-volatile memory devices, wherein the computer readable program when executed by a processor on a computer causes the computer to: store one or more entries for valid documents and one or more entries for error documents in a documents portion of a text index and storing tokens from the valid documents in a posting lists portion of the text index, wherein each of the entries includes a first field and a second field, wherein the first field for a valid document is indexable and stores one or more tokens forming document text, wherein the first field for an error document is not indexable and stores an error message, and wherein the second field stores an indication of whether the document is an error document; fetch a document with a document identifier; and in response to determining that the document is an error document, add an entry in the documents portion of the text index that includes an error message in a field that is not searchable in response to a search request using one or more tokens to locate one or more documents indexed by the text index. | 14. A computer program product comprising a computer-readable storage medium including a computer readable program, wherein the computer-readable medium is a member of a set of computer readable media consisting of a semiconductor or solid state memory, a magnetic tape, a removable computer diskette, a rigid magnetic disk, an optical disk, a magnetic storage medium, and volatile and non-volatile memory devices, wherein the computer readable program when executed by a processor on a computer causes the computer to: store one or more entries for valid documents and one or more entries for error documents in a documents portion of a text index and storing tokens from the valid documents in a posting lists portion of the text index, wherein each of the entries includes a first field and a second field, wherein the first field for a valid document is indexable and stores one or more tokens forming document text, wherein the first field for an error document is not indexable and stores an error message, and wherein the second field stores an indication of whether the document is an error document; fetch a document with a document identifier; and in response to determining that the document is an error document, add an entry in the documents portion of the text index that includes an error message in a field that is not searchable in response to a search request using one or more tokens to locate one or more documents indexed by the text index. 23. The computer program product of claim 14 , wherein the computer readable program when executed on a computer causes the computer to: receive a search request for the document identifier against the text index; determine whether the document is an error document by checking the indication in the entry in the text index for the document; in response to determining that the document is an error document, return error data; and in response to determining that the document is a valid document, return an indication that the document was successfully indexed. | 0.595683 |
8,316,293 | 1 | 4 | 1. A method for rendering presentation pages, comprising: a main server containing at least one resource including at least one of images and text; calling an XSL extension for one of at least images and text using an extensible stylesheet transformation (XSLT) module of the main server; and rendering the one of at least images and text into a presentation page based on a language requirement at a foreign locale, at least one proxy server configured to support localization of a display of a mobile device, the proxy server further comprising a deployment service deploying services from the main server to the proxy server and a cache that caches at least one resource and the deployment service configured to save the at least one resource to the main server and notify the at least one proxy server of at least one new resource for retrieval from the main server, and check the cache of the proxy server for the at least one new resource before retrieving the at least one new resource from the main server and render through the proxy and the XSLT module at least one resource for repeated use. | 1. A method for rendering presentation pages, comprising: a main server containing at least one resource including at least one of images and text; calling an XSL extension for one of at least images and text using an extensible stylesheet transformation (XSLT) module of the main server; and rendering the one of at least images and text into a presentation page based on a language requirement at a foreign locale, at least one proxy server configured to support localization of a display of a mobile device, the proxy server further comprising a deployment service deploying services from the main server to the proxy server and a cache that caches at least one resource and the deployment service configured to save the at least one resource to the main server and notify the at least one proxy server of at least one new resource for retrieval from the main server, and check the cache of the proxy server for the at least one new resource before retrieving the at least one new resource from the main server and render through the proxy and the XSLT module at least one resource for repeated use. 4. A method according to claim 1 , which further comprises communicating with a mobile wireless communications device on which the at least one of images and text are presented. | 0.546154 |
7,689,414 | 4 | 5 | 4. The system of claim 2 , wherein the at least one processor is programmed to recognize at least one key word in the speech information based, at least in part, on the language of the speech information, and wherein a speech recognizer provides the text information based, at least in part, on the at least one key word. | 4. The system of claim 2 , wherein the at least one processor is programmed to recognize at least one key word in the speech information based, at least in part, on the language of the speech information, and wherein a speech recognizer provides the text information based, at least in part, on the at least one key word. 5. The system of claim 4 , wherein the at least one processor is programmed to recognize a speaker group associated with the speech information based, at least in part, on the channel information and the language of the speech information, and wherein the speech recognizer provides the text information based, at least in part, on the speaker group. | 0.5 |
4,697,209 | 99 | 100 | 99. A system as recited in claim 92 wherein said first event detecting means includes means for detecting the elapse of a predetermined length of time after the occurrence of the previous first event. | 99. A system as recited in claim 92 wherein said first event detecting means includes means for detecting the elapse of a predetermined length of time after the occurrence of the previous first event. 100. A system as recited in claim 99 wherein said detecting means includes means for setting the predetermined length of time to approximately 5 to 10 minutes. | 0.5 |
7,805,455 | 13 | 14 | 13. A system for problem analysis comprising: a computer program stored within a computer-readable storage medium for execution on a computer system, the computer system comprising: one or more computer processing elements; one or more display devices; one or more user input devices; and communication elements for communicating with the one or more databases; one or more cause/effect databases having cause and effect elements stored in the cause/effect database; an event store comprising an element extractor and models having one or more event statements, wherein, based on a machine representation of a problem, the element extractor identifies an event statement from the models and determines which half of a cause-effect relationship is represented by the event statement and extracts elements from the event statement to determine a cause element or an effect element as half of the cause-effect relationship; a query formulator configured to generate a query based on the determined cause element or the determined effect element; and a knowledge search engine configured to determine one or more complete cause-effect relationships, wherein the knowledge search engine is adapted to: receive the query; search the one or more cause/effect databases to: locate one or more effect elements that form complete cause-effect relationships with the determined cause element of the query, or locate one or more cause elements that form complete cause-effect relationships with the determined effect element of the query; and output the one or more causes-effect relationships by presenting the determined cause element or effect element of the query with the located one or more effect elements or cause elements from the one or more knowledge bases. | 13. A system for problem analysis comprising: a computer program stored within a computer-readable storage medium for execution on a computer system, the computer system comprising: one or more computer processing elements; one or more display devices; one or more user input devices; and communication elements for communicating with the one or more databases; one or more cause/effect databases having cause and effect elements stored in the cause/effect database; an event store comprising an element extractor and models having one or more event statements, wherein, based on a machine representation of a problem, the element extractor identifies an event statement from the models and determines which half of a cause-effect relationship is represented by the event statement and extracts elements from the event statement to determine a cause element or an effect element as half of the cause-effect relationship; a query formulator configured to generate a query based on the determined cause element or the determined effect element; and a knowledge search engine configured to determine one or more complete cause-effect relationships, wherein the knowledge search engine is adapted to: receive the query; search the one or more cause/effect databases to: locate one or more effect elements that form complete cause-effect relationships with the determined cause element of the query, or locate one or more cause elements that form complete cause-effect relationships with the determined effect element of the query; and output the one or more causes-effect relationships by presenting the determined cause element or effect element of the query with the located one or more effect elements or cause elements from the one or more knowledge bases. 14. The system according to claim 13 , wherein the element extractor is configured to extract either the cause element or the effect element from the at least one event statement. | 0.683746 |
9,914,057 | 1 | 16 | 1. A system, comprising: a plurality of electronic devices, each configured to produce an effect based on a current context of a story in response to detecting an occurrence of a stimulus event, wherein the effect is at least one of an auditory and a visual effect, and wherein at least one of the respective stimulus events for each of the plurality of electronic devices comprises detecting, based on data values collected from one or more sensor devices, performance of a user action by a first user in a physical environment in which the plurality of electronic devices and the first user are located; and a controller device configured to: determine that the plurality of electronic devices are present in the physical environment and are available and compatible with the story, through wireless communication with each of the plurality of electronic devices; manage a playback of the story within the physical environment, by transmitting one or more instructions to each of the plurality of electronic devices to adjust the stimulus event and the effect of each of the plurality of electronic devices, based on the current context of the story; during the playback of the story, determine that a first one of the plurality of electronic devices has become unavailable; and adjust the playback of the story within the physical environment, by transmitting one or more instructions to each of a second plurality of electronic devices, non-inclusive of the first electronic device, to update the stimulus event and the effect of each of the second plurality of electronic devices, based on an updated context of the story. | 1. A system, comprising: a plurality of electronic devices, each configured to produce an effect based on a current context of a story in response to detecting an occurrence of a stimulus event, wherein the effect is at least one of an auditory and a visual effect, and wherein at least one of the respective stimulus events for each of the plurality of electronic devices comprises detecting, based on data values collected from one or more sensor devices, performance of a user action by a first user in a physical environment in which the plurality of electronic devices and the first user are located; and a controller device configured to: determine that the plurality of electronic devices are present in the physical environment and are available and compatible with the story, through wireless communication with each of the plurality of electronic devices; manage a playback of the story within the physical environment, by transmitting one or more instructions to each of the plurality of electronic devices to adjust the stimulus event and the effect of each of the plurality of electronic devices, based on the current context of the story; during the playback of the story, determine that a first one of the plurality of electronic devices has become unavailable; and adjust the playback of the story within the physical environment, by transmitting one or more instructions to each of a second plurality of electronic devices, non-inclusive of the first electronic device, to update the stimulus event and the effect of each of the second plurality of electronic devices, based on an updated context of the story. 16. The system of claim 1 , wherein another stimulus event for at least one of the plurality of electronic devices comprises an action corresponding to an existing media device. | 0.766491 |
9,519,778 | 8 | 9 | 8. The system of claim 7 , wherein the content anomaly detection model is a frequency distribution-based detection model that determines a plurality of appearance frequencies, and wherein each of the plurality of appearance frequencies corresponds to one of the training n-grams. | 8. The system of claim 7 , wherein the content anomaly detection model is a frequency distribution-based detection model that determines a plurality of appearance frequencies, and wherein each of the plurality of appearance frequencies corresponds to one of the training n-grams. 9. The system of claim 8 , wherein the training n-grams include a first plurality of distinct training n-grams and a second plurality of distinct training n-grams. | 0.5 |
10,102,269 | 11 | 13 | 11. The computer-implemented method of claim 10 , wherein the query object is defined in accordance with a generic dimensional model. | 11. The computer-implemented method of claim 10 , wherein the query object is defined in accordance with a generic dimensional model. 13. The computer-implemented method of claim 11 , wherein the query object includes a select expression that sets forth at least one selection of the query. | 0.5 |
10,032,200 | 9 | 11 | 9. The method according to claim 1 , wherein for at least one of the customer context data or the product context data, the administrative interface comprises a hierarchical organization of contexts such that a child inherits at least one attribute of a parent context. | 9. The method according to claim 1 , wherein for at least one of the customer context data or the product context data, the administrative interface comprises a hierarchical organization of contexts such that a child inherits at least one attribute of a parent context. 11. The method according to claim 9 , wherein a default selection of the customer context data and the product context data is based at least in part on a parent configuration in the hierarchical organization of contexts. | 0.5 |
8,852,239 | 17 | 18 | 17. The improvement of claim 1 wherein the receiver curved seating surface having a first radius is a first seating surface sized and shaped for receiving the insert and further comprising a second seating surface located adjacent the first seating surface, the second seating surface sized and shaped for receiving a portion of the longitudinal connecting member. | 17. The improvement of claim 1 wherein the receiver curved seating surface having a first radius is a first seating surface sized and shaped for receiving the insert and further comprising a second seating surface located adjacent the first seating surface, the second seating surface sized and shaped for receiving a portion of the longitudinal connecting member. 18. The improvement of claim 17 wherein the second seating surface slopes downwardly in a direction of the shank and outwardly away from the first seating surface. | 0.5 |
7,870,087 | 44 | 45 | 44. A system to process queries of databases, the system comprising: an analog processor; a conversion subsystem that receives a problem and parses the problem into subproblems suitable for processing by the analog processor; and a controller subsystem that receives the subproblems and is operable to set at least one parameter of the analog processor to embed the subproblems into the analog processor. | 44. A system to process queries of databases, the system comprising: an analog processor; a conversion subsystem that receives a problem and parses the problem into subproblems suitable for processing by the analog processor; and a controller subsystem that receives the subproblems and is operable to set at least one parameter of the analog processor to embed the subproblems into the analog processor. 45. The system of claim 44 wherein the analog processor includes a quantum processor including a plurality of qubits and a plurality of coupling devices coupling respective pairs of qubits, the quantum processor being capable of natural physical evolution and wherein the controller subsystem is operable to set parameters of at least some of the qubits and the coupling devices. | 0.5 |
9,412,358 | 1 | 2 | 1. A method comprising: receiving speech from a user as part of a dialog between the user and a dialog system; identifying, via a processor configured to perform speech analysis, an identity of the user using characteristics of the speech, to yield a user identification; generating a personalized natural language generation model based on a stylistic analysis and the user identification, wherein the stylistic analysis is performed on a literary narrative, and wherein the stylistic analysis identifies connections between a personality independent quotation lattice, personality independent attributes, personality dependent attributes, and speakers within the literary narrative; and applying the personalized natural language generation model while performing, as part of the dialog, one of automatic speech recognition and natural language generation. | 1. A method comprising: receiving speech from a user as part of a dialog between the user and a dialog system; identifying, via a processor configured to perform speech analysis, an identity of the user using characteristics of the speech, to yield a user identification; generating a personalized natural language generation model based on a stylistic analysis and the user identification, wherein the stylistic analysis is performed on a literary narrative, and wherein the stylistic analysis identifies connections between a personality independent quotation lattice, personality independent attributes, personality dependent attributes, and speakers within the literary narrative; and applying the personalized natural language generation model while performing, as part of the dialog, one of automatic speech recognition and natural language generation. 2. The method of claim 1 , wherein stylistic analysis further comprises: identifying the speakers in the literary narrative, to yield identified speakers; attributing quoted utterances in the literary narrative to the identified speakers, to yield a quotation lattice; identifying the personality independent attributes and the personality dependent attributes of the quoted utterances within the quotation lattice; and organizing the quotation lattice based on the personality independent attributes, to yield a personality independent quotation lattice. | 0.5 |
9,024,865 | 7 | 8 | 7. An apparatus for controlling a device, comprising: means for receiving first and second signals from first and second wearable items, wherein the first and second signals comprise information indicating movements of the first and second wearable items, respectively; means for determining that the movement of the first wearable item was intended for one or more commands and the movement of the second wearable item was not intended for any command based on the first and second signals indicating that the movements of the first and second wearable items occurred at the same time and in substantially the same direction; means for dynamically selecting a set of mappings defining how a gesture made by the movement of the first wearable item will be interpreted the as one or more commands; means for determining whether the gesture has a mapping in the set of mappings; means for translating the gesture into the one or more commands for the device based on the determination; and means for transmitting an acknowledgement to the first wearable item, wherein the acknowledgment indicates a successful detection of the gesture, and wherein the acknowledgement is configured to initiate a feedback response at the first wearable item. | 7. An apparatus for controlling a device, comprising: means for receiving first and second signals from first and second wearable items, wherein the first and second signals comprise information indicating movements of the first and second wearable items, respectively; means for determining that the movement of the first wearable item was intended for one or more commands and the movement of the second wearable item was not intended for any command based on the first and second signals indicating that the movements of the first and second wearable items occurred at the same time and in substantially the same direction; means for dynamically selecting a set of mappings defining how a gesture made by the movement of the first wearable item will be interpreted the as one or more commands; means for determining whether the gesture has a mapping in the set of mappings; means for translating the gesture into the one or more commands for the device based on the determination; and means for transmitting an acknowledgement to the first wearable item, wherein the acknowledgment indicates a successful detection of the gesture, and wherein the acknowledgement is configured to initiate a feedback response at the first wearable item. 8. The apparatus of claim 7 , wherein the dynamic selection of the set of mappings is based on an application context. | 0.572464 |
8,965,970 | 13 | 18 | 13. A method comprising: maintaining a plurality of pages on a social networking system; clustering the plurality of pages by a concept to create a cluster of pages; ranking, by a processor, the plurality of pages of the cluster based on a hierarchy of rules analyzing attributes of the plurality of pages and attributes associated with a source of a page in the cluster of pages, the hierarchy of rules comprising consideration of information associated with the source of the page in the cluster of pages; selecting, based on the ranking associated with the plurality of pages of the cluster, a best page for the concept; and directing a user requesting a page of the plurality of pages of the cluster to the selected best page. | 13. A method comprising: maintaining a plurality of pages on a social networking system; clustering the plurality of pages by a concept to create a cluster of pages; ranking, by a processor, the plurality of pages of the cluster based on a hierarchy of rules analyzing attributes of the plurality of pages and attributes associated with a source of a page in the cluster of pages, the hierarchy of rules comprising consideration of information associated with the source of the page in the cluster of pages; selecting, based on the ranking associated with the plurality of pages of the cluster, a best page for the concept; and directing a user requesting a page of the plurality of pages of the cluster to the selected best page. 18. The method of claim 13 , wherein directing a user requesting a page of the plurality of pages of the cluster to the selected best page further comprises: providing for display in an embedded widget on an external website associated with a page of the plurality of pages, the selected best page for the cluster in place of the page associated with the external website. | 0.605096 |
8,606,010 | 1 | 15 | 1. A method of identifying regions of an input image that contain human-readable, printable characters, said method comprising the following steps; (1) providing a plurality of training images having foreground pixels, said training images having printable-character regions containing examples of said printable characters and non-character regions not containing examples of said printable characters; (2) for each of said training images, applying the following steps: (a) identifying printable-character regions and non-character regions, each identified printable-character region and identified non-character region being designated a training region; (b) constructing a connected components (CC) region for each training region by constructing connected components of the foreground pixels in each training region, each CC region and its corresponding training region from which it is constructed constituting a training sample pair; (c) computing a plurality of image feature characteristic statistics for each training sample pair, wherein each image feature characteristic statistic provides distinguishing information of each sample pair; (3) defining a character classifier block using said image feature characteristic statistics, said character classifier block including at least a level 1 classifier sub-block, a level 2 classifier sub-block and level 3 classifier sub-block, each classifier sub-block classifying a received image region as a printable-character region or as a non-character printable regions, wherein said level 2 classifier sub-block has a greater computational cost than said level 1 classifier sub-block, and said level 3 classifier sub-block has a greater computational cost than said level 2 classifier sub-block; (4) extracting a plurality of test sample pairs from said input image, each test sample pair including a test image region of said input image and a test CC region constructed from the test image region; (5) submitting said plurality of test sample pairs to said character classifier block, wherein: the level 1 classifier sub-block receives for classification all of said plurality of test sample pairs; the level 2 classifier sub-block receives for classification test sample pairs classified as printable-character regions by the level 1 classifier sub-block and does not receive any test sample pairs classified as non-character regions by the level 1 classifier sub-block; and the level 3 classifier sub-block receives for classification test sample pairs classified as printable-character regions by the level 2 classifier sub-block and does not receive any test sample pairs classified as non-character regions by the level 2 or level 1 classifier sub-blocks; and (6) designating the test image regions of the test sample pairs classified as printable-character regions by the level 3 classifier sub-block as the regions of the input image that contain human-readable, printable characters. | 1. A method of identifying regions of an input image that contain human-readable, printable characters, said method comprising the following steps; (1) providing a plurality of training images having foreground pixels, said training images having printable-character regions containing examples of said printable characters and non-character regions not containing examples of said printable characters; (2) for each of said training images, applying the following steps: (a) identifying printable-character regions and non-character regions, each identified printable-character region and identified non-character region being designated a training region; (b) constructing a connected components (CC) region for each training region by constructing connected components of the foreground pixels in each training region, each CC region and its corresponding training region from which it is constructed constituting a training sample pair; (c) computing a plurality of image feature characteristic statistics for each training sample pair, wherein each image feature characteristic statistic provides distinguishing information of each sample pair; (3) defining a character classifier block using said image feature characteristic statistics, said character classifier block including at least a level 1 classifier sub-block, a level 2 classifier sub-block and level 3 classifier sub-block, each classifier sub-block classifying a received image region as a printable-character region or as a non-character printable regions, wherein said level 2 classifier sub-block has a greater computational cost than said level 1 classifier sub-block, and said level 3 classifier sub-block has a greater computational cost than said level 2 classifier sub-block; (4) extracting a plurality of test sample pairs from said input image, each test sample pair including a test image region of said input image and a test CC region constructed from the test image region; (5) submitting said plurality of test sample pairs to said character classifier block, wherein: the level 1 classifier sub-block receives for classification all of said plurality of test sample pairs; the level 2 classifier sub-block receives for classification test sample pairs classified as printable-character regions by the level 1 classifier sub-block and does not receive any test sample pairs classified as non-character regions by the level 1 classifier sub-block; and the level 3 classifier sub-block receives for classification test sample pairs classified as printable-character regions by the level 2 classifier sub-block and does not receive any test sample pairs classified as non-character regions by the level 2 or level 1 classifier sub-blocks; and (6) designating the test image regions of the test sample pairs classified as printable-character regions by the level 3 classifier sub-block as the regions of the input image that contain human-readable, printable characters. 15. A data processing device configured to implement the method of claim 1 . | 0.908434 |
8,917,847 | 19 | 20 | 19. An apparatus, comprising: a mixer configured to mix input streams received from participants of a conference call and distribute mixed streams to the participants of the conference call, the mixer providing a first stream at a first volume to participants of the conference call having a sub-group meeting and providing a second stream at a second volume that is lower than the first volume to remaining participants of the conference call; and logic operatively coupled with the mixer, the logic detecting whether a participant of the remaining participants of the conference call uttered a predefined keyword, and the logic selectively issuing an alert to a participant in the sub-group meeting responsive to detecting the uttering of the predefined keyword, wherein the alert is played to the participant in the sub-group meeting at a third volume that is higher than the second volume. | 19. An apparatus, comprising: a mixer configured to mix input streams received from participants of a conference call and distribute mixed streams to the participants of the conference call, the mixer providing a first stream at a first volume to participants of the conference call having a sub-group meeting and providing a second stream at a second volume that is lower than the first volume to remaining participants of the conference call; and logic operatively coupled with the mixer, the logic detecting whether a participant of the remaining participants of the conference call uttered a predefined keyword, and the logic selectively issuing an alert to a participant in the sub-group meeting responsive to detecting the uttering of the predefined keyword, wherein the alert is played to the participant in the sub-group meeting at a third volume that is higher than the second volume. 20. The apparatus set forth in claim 19 , wherein the logic is a speech to text converter operatively coupled with the mixer. | 0.571918 |
9,741,142 | 18 | 19 | 18. The computer readable medium of claim 17 , wherein creating the synthesized digital font comprises: extracting the set of original characters from the scanned document; extracting a monochrome pixmap for each extracted character; merging similar monochrome pixmaps that are determined to most close match a same system font; and creating a vector outline for each character in the scanned document. | 18. The computer readable medium of claim 17 , wherein creating the synthesized digital font comprises: extracting the set of original characters from the scanned document; extracting a monochrome pixmap for each extracted character; merging similar monochrome pixmaps that are determined to most close match a same system font; and creating a vector outline for each character in the scanned document. 19. The computer readable medium of claim 18 , wherein determining a system font comprises: generating a pixmap for each character in each system font in the plurality of system fonts; comparing the extracted monochrome pixmap for each original character to each pixmap for each character in each system font; assigning a closeness value to each comparison; and selecting a closest system font as a font used for each character in the scanned document based on the closeness value. | 0.5 |
8,739,022 | 16 | 19 | 16. An apparatus adapted to parse a hierarchically organized data document, comprising: a preparser configured to determine a logical tree structure of the data document, for use by a plurality of parsing processors, each of the plurality of parsing processors being configured to receive at least one of a plurality of divided sections of the data document, in dependence on the logical tree structure, wherein each section comprises at least a beginning of a logical section of the logical tree structure, with sufficient context to resolve any ambiguities wherein a set of tasks is generated by iteratively removing a remaining branch of the hierarchical skeleton which represents a largest task, and elevating the root of the subtree represented by the largest task to a next higher level, wherein a sufficient number of tasks is generated to permit efficient balancing; and a distribution control configured to distribute the plurality of sections to respective ones of the plurality of parsing processors for parsing of the sections of the data document. | 16. An apparatus adapted to parse a hierarchically organized data document, comprising: a preparser configured to determine a logical tree structure of the data document, for use by a plurality of parsing processors, each of the plurality of parsing processors being configured to receive at least one of a plurality of divided sections of the data document, in dependence on the logical tree structure, wherein each section comprises at least a beginning of a logical section of the logical tree structure, with sufficient context to resolve any ambiguities wherein a set of tasks is generated by iteratively removing a remaining branch of the hierarchical skeleton which represents a largest task, and elevating the root of the subtree represented by the largest task to a next higher level, wherein a sufficient number of tasks is generated to permit efficient balancing; and a distribution control configured to distribute the plurality of sections to respective ones of the plurality of parsing processors for parsing of the sections of the data document. 19. The apparatus according to claim 16 , wherein said preparser further comprises a data packet or digital data stream router. | 0.656757 |
9,286,373 | 9 | 11 | 9. A method performed by at least one electronic device comprising one or more processors, the method comprising: executing, using at least one processor, for each object within a plurality of objects, the following steps: creating a data structure of a first type for the object, wherein the data structure of a first type is created based at least in part on one or more properties associated with the object; and inputting the data structure of a first type for the object into a data structure of a second type; and creating, using at least one processor, an association between a first object and a second object based at least in part on a data structure of a first type for the first object and a data structure of a first type for the second object corresponding to a same bin in the data structure of a second type, wherein the first object comprises a first set of properties, and wherein the second object comprises a second set of properties that include at least a portion of the first set of properties. | 9. A method performed by at least one electronic device comprising one or more processors, the method comprising: executing, using at least one processor, for each object within a plurality of objects, the following steps: creating a data structure of a first type for the object, wherein the data structure of a first type is created based at least in part on one or more properties associated with the object; and inputting the data structure of a first type for the object into a data structure of a second type; and creating, using at least one processor, an association between a first object and a second object based at least in part on a data structure of a first type for the first object and a data structure of a first type for the second object corresponding to a same bin in the data structure of a second type, wherein the first object comprises a first set of properties, and wherein the second object comprises a second set of properties that include at least a portion of the first set of properties. 11. The method of claim 9 , further comprising: causing the data structure of a second type to add each data structure of a first type into a bin in the data structure of a second type, the bin being one of a plurality of bins in the data structure of a second type; and for each bin comprising two or more data structures of a first type: adding the two or more data structures of a first type to a multimap. | 0.5 |
9,471,604 | 15 | 16 | 15. A system comprising: one or more computer processors and storage configured to perform a first database image search for images similar to a first query image; provide to a client machine a first plurality of images that result from the first database search, the first plurality of images selectable for providing a second query image; responsive to selection of one of the first plurality of images, perform a second database image similarity search for images similar to the second query image; provide to the client machine the second plurality of images that result from the second image similarity search and at least one selectable icon to find more images of products like at least one of the second plurality of images of products; responsive to selection of one of the at least one selectable icon, perform a third database image similarity search for images similar to the at least one of the second plurality of images of products; and provide to the client machine the third plurality of images that result from the third database image similarity search. | 15. A system comprising: one or more computer processors and storage configured to perform a first database image search for images similar to a first query image; provide to a client machine a first plurality of images that result from the first database search, the first plurality of images selectable for providing a second query image; responsive to selection of one of the first plurality of images, perform a second database image similarity search for images similar to the second query image; provide to the client machine the second plurality of images that result from the second image similarity search and at least one selectable icon to find more images of products like at least one of the second plurality of images of products; responsive to selection of one of the at least one selectable icon, perform a third database image similarity search for images similar to the at least one of the second plurality of images of products; and provide to the client machine the third plurality of images that result from the third database image similarity search. 16. The system of claim 15 wherein one of the first query image, the second query image or the third query image is provided by a user. | 0.884021 |
6,067,514 | 19 | 26 | 19. In a speech recognition system which recognizes a spoken utterance consisting of an input sequence of spoken words and outputs a sequence of decoded words, a method for automatically punctuating the decoded words comprises the steps of: training an acoustic model; training an n-gram language model; building a vocabulary of items, the items including words and punctuation marks, said building step including assigning at least one baseform to each of the punctuation marks in the vocabulary, the at least one baseform corresponding to at least one of silence and a non-word noise, the vocabulary defining the items for which language model scores exist; defining conditional probabilities for the punctuation marks in the language model based upon at least one of at least one preceding word and at least one succeeding word; and generating a word match score corresponding to the probability that a subject punctuation mark in the vocabulary corresponds to acoustic data generated by said utterance; generating a language model score corresponding to the probability that the subject punctuation mark corresponds to acoustic data generated by said utterance; and automatically inserting the subject punctuation mark at a given point in the sequence of decoded words when the combination of the word match score and the language model score produces the highest combined likelihood over any other item in the vocabulary for the given point. | 19. In a speech recognition system which recognizes a spoken utterance consisting of an input sequence of spoken words and outputs a sequence of decoded words, a method for automatically punctuating the decoded words comprises the steps of: training an acoustic model; training an n-gram language model; building a vocabulary of items, the items including words and punctuation marks, said building step including assigning at least one baseform to each of the punctuation marks in the vocabulary, the at least one baseform corresponding to at least one of silence and a non-word noise, the vocabulary defining the items for which language model scores exist; defining conditional probabilities for the punctuation marks in the language model based upon at least one of at least one preceding word and at least one succeeding word; and generating a word match score corresponding to the probability that a subject punctuation mark in the vocabulary corresponds to acoustic data generated by said utterance; generating a language model score corresponding to the probability that the subject punctuation mark corresponds to acoustic data generated by said utterance; and automatically inserting the subject punctuation mark at a given point in the sequence of decoded words when the combination of the word match score and the language model score produces the highest combined likelihood over any other item in the vocabulary for the given point. 26. The method of claim 19, wherein the step of training the n-gram language model further comprises the step of segmenting a corresponding text corpus into paragraphs to obtain the conditional probabilities for the punctuation marks. | 0.672269 |
7,657,526 | 1 | 10 | 1. A user-interface method of selecting and presenting a collection of content items in which the presentation is ordered at least in part based on analyzing descriptive terms associated with content items of the collection and promoting the presentation order of content items associated with descriptive terms that are also associated with content items that have an increased level of recent selection occurrence by a plurality of users, the method comprising: providing a set of content items, each content item having at least one associated descriptive term to describe the content item; receiving a plurality of incremental input strings entered by a corresponding plurality of users for incrementally identifying desired content items; in response to each of the plurality of incremental input strings entered by the plurality of users, presenting a subset of content items to each user of the plurality of users responsive to the incremental input string entered by the corresponding a user; receiving actions from each of the users of the plurality of users selecting content items from the subset of content items presented to said user; analyzing the descriptive terms associated with the content items selected by the plurality of users to detect an increase in the frequency with which descriptive terms are associated with the content items selected by the plurality of users; in response to receiving subsequent incremental input entered by a user of the plurality of users, selecting and ordering a collection of content items based on promoting the order of content items associated with descriptive terms that have a recent increase in the frequency with which said descriptive terms are associated with the content items selected by the plurality of users; and presenting the ordered collection of content items on a display device. | 1. A user-interface method of selecting and presenting a collection of content items in which the presentation is ordered at least in part based on analyzing descriptive terms associated with content items of the collection and promoting the presentation order of content items associated with descriptive terms that are also associated with content items that have an increased level of recent selection occurrence by a plurality of users, the method comprising: providing a set of content items, each content item having at least one associated descriptive term to describe the content item; receiving a plurality of incremental input strings entered by a corresponding plurality of users for incrementally identifying desired content items; in response to each of the plurality of incremental input strings entered by the plurality of users, presenting a subset of content items to each user of the plurality of users responsive to the incremental input string entered by the corresponding a user; receiving actions from each of the users of the plurality of users selecting content items from the subset of content items presented to said user; analyzing the descriptive terms associated with the content items selected by the plurality of users to detect an increase in the frequency with which descriptive terms are associated with the content items selected by the plurality of users; in response to receiving subsequent incremental input entered by a user of the plurality of users, selecting and ordering a collection of content items based on promoting the order of content items associated with descriptive terms that have a recent increase in the frequency with which said descriptive terms are associated with the content items selected by the plurality of users; and presenting the ordered collection of content items on a display device. 10. The method of claim 1 , wherein the display device is a hand-held device. | 0.916304 |
9,507,762 | 1 | 5 | 1. A method for optimizing a document format in a query system comprising: receiving documents including at least a portion of content in an unstructured format; storing the received documents in a repository for querying; responsive to detecting a predetermined number of the documents including the unstructured format stored in the repository for querying, applying an optimization criteria to identify one or more components of the stored documents for a conversion, wherein applying the optimization criteria comprises analyzing groups of the stored documents to identify repeating key-value pairs; converting the one or more components of the stored documents associated with an identified key-value pair from the unstructured format to a structured format by storing a key once and corresponding values for the key in a column-based format transparent to a querying application, wherein at least one document comprises one or more converted components in the structured format and one or more components in the unstructured format; and removing repeating key names and values of the identified key-value pair from the unstructured portion of the stored documents associated with the identified key-value pair and placing the removed key names and values into a structured portion of those documents. | 1. A method for optimizing a document format in a query system comprising: receiving documents including at least a portion of content in an unstructured format; storing the received documents in a repository for querying; responsive to detecting a predetermined number of the documents including the unstructured format stored in the repository for querying, applying an optimization criteria to identify one or more components of the stored documents for a conversion, wherein applying the optimization criteria comprises analyzing groups of the stored documents to identify repeating key-value pairs; converting the one or more components of the stored documents associated with an identified key-value pair from the unstructured format to a structured format by storing a key once and corresponding values for the key in a column-based format transparent to a querying application, wherein at least one document comprises one or more converted components in the structured format and one or more components in the unstructured format; and removing repeating key names and values of the identified key-value pair from the unstructured portion of the stored documents associated with the identified key-value pair and placing the removed key names and values into a structured portion of those documents. 5. The method of claim 1 , further comprising: receiving additional documents; storing the received additional documents in the repository for querying; applying the optimization criteria to identify one or more components of the stored additional documents for a conversion; combining the identified one or more components of the stored additional documents with the previously identified one or more components to select which of the combined identified components to convert from the unstructured format to the structured format; and converting the selected identified components from the unstructured format to the structured format. | 0.5 |
9,892,442 | 13 | 14 | 13. A computer-implemented data processing method for selecting audit results of a template for use with privacy audits associated with a privacy campaign comprising: receiving a customer command to add a privacy campaign, the privacy campaign having associated with it a software application; receiving an electronic selection by a customer indicating a desire to associate with the privacy campaign a set of digital data comprising audit results, wherein: the audit results comprise prompts and responses that relate to compliance with one or more assessment standards related to privacy, and wherein the method comprises auditing the prompts and responses for privacy compliance by: identifying a weighting factor for each of the prompts and responses, the prompts and responses including: an identification of a type of personal data collected by the software application; an identification of a physical storage location of the personal data collected by the software application; and an identification of a length of time that the personal data collected by the software application will be stored; electronically determining a relative risk rating for each of the prompts and responses; electronically calculating a risk level based upon, for each of the prompts and responses, the relative risk rating and the weighting factor, and associating the risk level with the audit results; associating the set of digital data selected by the customer with the privacy campaign; digitally storing the set of digital data selected by the customer as an electronic record associated with the privacy campaign. | 13. A computer-implemented data processing method for selecting audit results of a template for use with privacy audits associated with a privacy campaign comprising: receiving a customer command to add a privacy campaign, the privacy campaign having associated with it a software application; receiving an electronic selection by a customer indicating a desire to associate with the privacy campaign a set of digital data comprising audit results, wherein: the audit results comprise prompts and responses that relate to compliance with one or more assessment standards related to privacy, and wherein the method comprises auditing the prompts and responses for privacy compliance by: identifying a weighting factor for each of the prompts and responses, the prompts and responses including: an identification of a type of personal data collected by the software application; an identification of a physical storage location of the personal data collected by the software application; and an identification of a length of time that the personal data collected by the software application will be stored; electronically determining a relative risk rating for each of the prompts and responses; electronically calculating a risk level based upon, for each of the prompts and responses, the relative risk rating and the weighting factor, and associating the risk level with the audit results; associating the set of digital data selected by the customer with the privacy campaign; digitally storing the set of digital data selected by the customer as an electronic record associated with the privacy campaign. 14. The data processing method of claim 13 , wherein the software application is provided by a third party to the customer. | 0.783451 |
8,086,951 | 1 | 6 | 1. A method for generating documentation, comprising: receiving at a document generation system data representative of required data from a remote system, the remote system configured to selectively operate in accordance with at least an automatic mode of document selection and a manual mode of document selection, the required data in an extensible markup language (XML) format and received at the document generation system via a data network, the data including an indication of a document generation mode comprising one of the automatic mode of document selection, where the document generation system identifies at least one document to be populated with the required data, and the manual mode of document selection, where the data received from the remote system identifies the at least one document to be populated with the required data; invoking the one of the automatic mode and the manual mode of document selection in response to the received data indicative of the document generation mode; selecting from a document repository and assembling the at least one document to be populated with the required data; validating the required data in relation to a set of requirements associated with the at least one document; merging the required data with the at least one document; and streaming the at least one document via the data network in a presentation format to the remote system for at least one of presentation and printing. | 1. A method for generating documentation, comprising: receiving at a document generation system data representative of required data from a remote system, the remote system configured to selectively operate in accordance with at least an automatic mode of document selection and a manual mode of document selection, the required data in an extensible markup language (XML) format and received at the document generation system via a data network, the data including an indication of a document generation mode comprising one of the automatic mode of document selection, where the document generation system identifies at least one document to be populated with the required data, and the manual mode of document selection, where the data received from the remote system identifies the at least one document to be populated with the required data; invoking the one of the automatic mode and the manual mode of document selection in response to the received data indicative of the document generation mode; selecting from a document repository and assembling the at least one document to be populated with the required data; validating the required data in relation to a set of requirements associated with the at least one document; merging the required data with the at least one document; and streaming the at least one document via the data network in a presentation format to the remote system for at least one of presentation and printing. 6. The method of claim 1 further comprising, notifying the remote system of an error upon the validation of the required data before the streaming of the at least one document. | 0.710526 |
7,979,375 | 10 | 13 | 10. The comparison engine as recited in claim 1 , wherein the comparison engine is used to facilitate a reverse auction. | 10. The comparison engine as recited in claim 1 , wherein the comparison engine is used to facilitate a reverse auction. 13. The comparison engine as recited in claim 10 , further comprising an authentication module for authenticating a user's identity. | 0.65445 |
7,596,755 | 16 | 23 | 16. A computer program product stored on a computer-readable storage medium for displaying multimedia information stored in a multimedia document on a display, the computer program product comprising: code for displaying a graphical user interface (GUI) on the display; code for displaying, in a first area of the GUI, a first visual representation of the multimedia information stored in the multimedia document, the first visual representation including a first representation of information of a first type stored in the multimedia document and a first representation of information of a second type stored in the multimedia document; code for displaying a first lens positionable over a plurality of portions of the first visual representation displayed within the first area of the GUI, the first lens covering a first portion of the first visual representation within the first area; code for displaying, in a second area of the GUI, a second visual representation of the multimedia information stored in the multimedia document based on the first lens covering the first portion of the first visual representation within the first area, the second visual representation including a second representation of the information of the first type stored in the multimedia document and a second representation of the information of the second type stored in the multimedia document; code for displaying, in the second area of the GUI, a second lens positionable over a plurality of portions of the second visual representation displayed within the second area of the GUI, the second lens covering a first portion of the second visual representation within the second area; and code for displaying, in a third area of the GUI, a third visual representation of the multimedia information stored in the multimedia document based on the second lens covering the first portion of the second visual representation within the second area, the third visual representation comprising a third representation of the information of the first type and a third representation of the information of the second type, wherein the code for displaying the first visual representation of the multimedia information stored in the multimedia document in the first area of the GUI comprises: code for displaying a first thumbnail image in the first area of the GUI, the first thumbnail image comprising the first representation of the information of the first type; and code for displaying a second thumbnail image in the first area of the GUI, the second thumbnail image comprising the first representation of the information of the second type, wherein the code for displaying the second visual representation of the multimedia information stored in the multimedia document in the second area of the GUI comprises: code for displaying, in a first sub-area of the second area of the GUI, the portion of the first representation of the information of the first type covered by the first lens; and code for displaying, in a second sub-area of the second area of the GUI, the portion of the first representation of the information of the second type covered by the first lens, wherein the code for displaying the third visual representation of the multimedia information stored in the multimedia document in the third area of the GUI comprises: code for displaying, in a first sub-area of the third area of the GUI, the portion of the second representation of the information of the first type covered by the second lens as the third representation of the information of the first type; and code for displaying, in a second sub-area of the third area of the GUI, the portion of the second representation of the information of the second type covered by the second lens as the third representation of the information of the second type. | 16. A computer program product stored on a computer-readable storage medium for displaying multimedia information stored in a multimedia document on a display, the computer program product comprising: code for displaying a graphical user interface (GUI) on the display; code for displaying, in a first area of the GUI, a first visual representation of the multimedia information stored in the multimedia document, the first visual representation including a first representation of information of a first type stored in the multimedia document and a first representation of information of a second type stored in the multimedia document; code for displaying a first lens positionable over a plurality of portions of the first visual representation displayed within the first area of the GUI, the first lens covering a first portion of the first visual representation within the first area; code for displaying, in a second area of the GUI, a second visual representation of the multimedia information stored in the multimedia document based on the first lens covering the first portion of the first visual representation within the first area, the second visual representation including a second representation of the information of the first type stored in the multimedia document and a second representation of the information of the second type stored in the multimedia document; code for displaying, in the second area of the GUI, a second lens positionable over a plurality of portions of the second visual representation displayed within the second area of the GUI, the second lens covering a first portion of the second visual representation within the second area; and code for displaying, in a third area of the GUI, a third visual representation of the multimedia information stored in the multimedia document based on the second lens covering the first portion of the second visual representation within the second area, the third visual representation comprising a third representation of the information of the first type and a third representation of the information of the second type, wherein the code for displaying the first visual representation of the multimedia information stored in the multimedia document in the first area of the GUI comprises: code for displaying a first thumbnail image in the first area of the GUI, the first thumbnail image comprising the first representation of the information of the first type; and code for displaying a second thumbnail image in the first area of the GUI, the second thumbnail image comprising the first representation of the information of the second type, wherein the code for displaying the second visual representation of the multimedia information stored in the multimedia document in the second area of the GUI comprises: code for displaying, in a first sub-area of the second area of the GUI, the portion of the first representation of the information of the first type covered by the first lens; and code for displaying, in a second sub-area of the second area of the GUI, the portion of the first representation of the information of the second type covered by the first lens, wherein the code for displaying the third visual representation of the multimedia information stored in the multimedia document in the third area of the GUI comprises: code for displaying, in a first sub-area of the third area of the GUI, the portion of the second representation of the information of the first type covered by the second lens as the third representation of the information of the first type; and code for displaying, in a second sub-area of the third area of the GUI, the portion of the second representation of the information of the second type covered by the second lens as the third representation of the information of the second type. 23. The computer program product of claim 16 further comprising: code for receiving user input moving the first lens over the first visual representation displayed within the first area to cover a second portion of the first visual representation within the first area; and responsive to the user input, code for automatically: changing the second visual representation displayed in the second area of the GUI such that the second visual representation of the multimedia information stored in the multimedia document displayed in the second area of the GUI corresponds to the second portion of the first visual representation of the multimedia information stored in the multimedia document covered by the first lens; and changing the third visual representation displayed in the third area of the GUI such that the third visual representation of the multimedia information stored in the multimedia document displayed in the third area of the GUI corresponds to the second visual representation of the multimedia information stored by the multimedia document within the second area. | 0.5 |
8,214,401 | 10 | 12 | 10. A computer-readable storage medium storing a plurality of instructions for controlling a processor to generate an ontology, the plurality of instructions comprising: instructions that cause the processor to receive input information in a first format; instructions that cause the processor to annotate the input information to generate annotated input information, wherein: the instructions that cause the processor to annotate the input information comprise instructions that cause the processor to add a first set of annotations and a second set of annotations to the input information; the first set of annotations is comprised of relationships between a plurality of entities present in the input information; and the second set of annotations is comprised of annotations that can be used to generate a set of explicit business rules for the purposes of a specific organization, wherein: the input information comprises an XSD file and an XML file; annotating the input information comprises generating an annotated XSD file and an annotated XML file; and wherein the instructions that cause the processor to generate the ontology comprises: instructions that cause the processor to convert the annotated XSD file to an OWL schema file; and instructions that cause the processor to convert the annotated XML file to an OWL instance file based upon the OWL schema file; and instructions that cause the processor to generate, based upon the annotated input information, an ontology encoded in a second format, wherein the second format is different from the first format. | 10. A computer-readable storage medium storing a plurality of instructions for controlling a processor to generate an ontology, the plurality of instructions comprising: instructions that cause the processor to receive input information in a first format; instructions that cause the processor to annotate the input information to generate annotated input information, wherein: the instructions that cause the processor to annotate the input information comprise instructions that cause the processor to add a first set of annotations and a second set of annotations to the input information; the first set of annotations is comprised of relationships between a plurality of entities present in the input information; and the second set of annotations is comprised of annotations that can be used to generate a set of explicit business rules for the purposes of a specific organization, wherein: the input information comprises an XSD file and an XML file; annotating the input information comprises generating an annotated XSD file and an annotated XML file; and wherein the instructions that cause the processor to generate the ontology comprises: instructions that cause the processor to convert the annotated XSD file to an OWL schema file; and instructions that cause the processor to convert the annotated XML file to an OWL instance file based upon the OWL schema file; and instructions that cause the processor to generate, based upon the annotated input information, an ontology encoded in a second format, wherein the second format is different from the first format. 12. The computer-readable storage medium of claim 10 wherein the second format is a format encoded using Resource Description Framework (RDF) compliant language for encoding an ontology. | 0.640927 |
7,702,633 | 1 | 3 | 1. One or more computer-readable media having computer-executable instructions embodied thereon that perform a method to generate previews for protected electronic documents, the method comprising: receiving a query having query terms from a client device; locating, in a database, stored electronic documents and protected electronic documents that match the query terms; determining whether the located documents are protected; generating a viewable version of electronic documents that is unrestricted, when the documents are not protected; and generating a viewable version of protected electronic documents based on rules provided by owners of the protected electronic documents, wherein the viewable version includes previews that provide a partial view of regions of the protected electronic documents that include the query terms and obfuscated views of regions of the protected electronic documents that do not include the query terms, when the documents are protected. | 1. One or more computer-readable media having computer-executable instructions embodied thereon that perform a method to generate previews for protected electronic documents, the method comprising: receiving a query having query terms from a client device; locating, in a database, stored electronic documents and protected electronic documents that match the query terms; determining whether the located documents are protected; generating a viewable version of electronic documents that is unrestricted, when the documents are not protected; and generating a viewable version of protected electronic documents based on rules provided by owners of the protected electronic documents, wherein the viewable version includes previews that provide a partial view of regions of the protected electronic documents that include the query terms and obfuscated views of regions of the protected electronic documents that do not include the query terms, when the documents are protected. 3. The media of claim 1 , further comprising transmitting the viewable version of the electronic documents or the protected electronic documents to the client device. | 0.643777 |
5,392,428 | 12 | 15 | 12. The system of claim 1 wherein: a) the input means further comprises item-identifier input means for inputting at least one of first and second sets of item-identifiers corresponding to items comprehended by the text; b) the one-to-many association organizing means further comprises item-identifier association means for establishing a one-to-many association between each item-identifier and the corresponding records which comprehend a reference to the respective item; and (c) the output means further comprises record retrieval means for retrieving one or more records according to one or more of the item identifiers corresponding to items comprehended by the text, and associated with at least one of the records. | 12. The system of claim 1 wherein: a) the input means further comprises item-identifier input means for inputting at least one of first and second sets of item-identifiers corresponding to items comprehended by the text; b) the one-to-many association organizing means further comprises item-identifier association means for establishing a one-to-many association between each item-identifier and the corresponding records which comprehend a reference to the respective item; and (c) the output means further comprises record retrieval means for retrieving one or more records according to one or more of the item identifiers corresponding to items comprehended by the text, and associated with at least one of the records. 15. The system of claim 12 wherein the organizing means further comprises item reference organizing means for organizing item-identifiers into at least one of first and second sets classified according to a user-defined type of item. | 0.814785 |
9,760,568 | 7 | 9 | 7. The system of claim 6 , wherein the processor is further configured to execute the instructions to: access a collection of descriptions determined to be relevant to the second user; monitor a sub-portion of the virtual world environment corresponding to a current location of an avatar representing the second user in the virtual world environment; identify, from the collection of descriptions, a sub-set of descriptions based on monitoring the sub-portion of the virtual world environment and a threshold number; and provide the second user with the sub-set of descriptions. | 7. The system of claim 6 , wherein the processor is further configured to execute the instructions to: access a collection of descriptions determined to be relevant to the second user; monitor a sub-portion of the virtual world environment corresponding to a current location of an avatar representing the second user in the virtual world environment; identify, from the collection of descriptions, a sub-set of descriptions based on monitoring the sub-portion of the virtual world environment and a threshold number; and provide the second user with the sub-set of descriptions. 9. The system of claim 7 , wherein the processor is further configured to execute the instructions to: determine that a quantity associated with the collection of descriptions exceeds the threshold number; determine an interest rating for each description in the collection of descriptions; access user interest preferences; compare the interest rating with at least one of the user interest preferences; and identify descriptions to be included in the sub-set of descriptions based on the comparison. | 0.5 |
7,739,102 | 20 | 21 | 20. The system of claim 14 , wherein the system is configured for performing concept determination. | 20. The system of claim 14 , wherein the system is configured for performing concept determination. 21. The system of claim 20 , wherein the concept determination is configured for implementing message routing, and/or a search tool for finding text referring to a topic of interest. | 0.5 |
5,448,679 | 3 | 4 | 3. The method for creating a compressed data representation of a human speech utterance according to claim 2, further including the step of determining a duration of each detected occurrence of a period of silence. | 3. The method for creating a compressed data representation of a human speech utterance according to claim 2, further including the step of determining a duration of each detected occurrence of a period of silence. 4. The method for creating a compressed data representation of a human speech utterance according to claim 3, wherein said step of creating a compressed data representation of said human speech utterance further includes the step of including an encoded representation of said duration of each detected occurrence of a period of silence. | 0.5 |
8,997,043 | 1 | 4 | 1. An encoder for storing one or more files, one or more files contained in a folder, or one or more files and one or more files contained in a folder together with a file name and file hierarchy information, in a single archive file, the encoder comprising: circuitry configured to: record, as original hierarchy information in the archive file, a set of a character string or symbol string and code information, the character string or symbol string representing in a non-ASCII special character coding a file name indicating the file hierarchy information of each file, said code information indicating a type of the special character code; and convert the character string in the special character coding into a character string in a standard character coding which is a predetermined common character coding, irrespective of system environments, and recording the converted character string as standard hierarchy information in the archive file, the character string in the special character coding representing the file name and the file hierarchy information of each file, wherein the special character coding of the original hierarchy information allows retrieving correctly, by being represented in the special character coding, the file name and the file hierarchy information before archiving thereof, and the standard hierarchy information allows retrieving the file name and the file hierarchy information in a case where the special character coding of the original hierarchy information cannot be used. | 1. An encoder for storing one or more files, one or more files contained in a folder, or one or more files and one or more files contained in a folder together with a file name and file hierarchy information, in a single archive file, the encoder comprising: circuitry configured to: record, as original hierarchy information in the archive file, a set of a character string or symbol string and code information, the character string or symbol string representing in a non-ASCII special character coding a file name indicating the file hierarchy information of each file, said code information indicating a type of the special character code; and convert the character string in the special character coding into a character string in a standard character coding which is a predetermined common character coding, irrespective of system environments, and recording the converted character string as standard hierarchy information in the archive file, the character string in the special character coding representing the file name and the file hierarchy information of each file, wherein the special character coding of the original hierarchy information allows retrieving correctly, by being represented in the special character coding, the file name and the file hierarchy information before archiving thereof, and the standard hierarchy information allows retrieving the file name and the file hierarchy information in a case where the special character coding of the original hierarchy information cannot be used. 4. The encoder according to claim 1 , wherein the circuitry is further configured to record attribute information of each file directly as original attribute information in the archive file in association with the file and, if there is any standard attribute information shared among different system environments, corresponding to the attribute information of the file, for recording the standard attribute information in the archive file in association with the file, the attribute information including at least one of information of authority for reading, writing or executing and information of date and time of creation, update or access. | 0.5 |
7,784,036 | 13 | 18 | 13. A system comprising: a preprocessor to extract macroinstructions that are hard-coded into parser code of a command line interface (CLI) parser, wherein the macroinstructions define parse nodes utilized by the CLI parser to analyze whether one or more CLI commands input to a CLI prompt have a proper CLI syntax; means for generating a parse graph from the macroinstructions, wherein the parse graph includes a representation of the parse nodes defined by the macroinstructions; means for hiding selected information contained within the parse nodes to create condensed parse nodes, wherein the hiding prevents further processing of the selected information; means for simplifying selected complex patterns in the parse graph to create simplified parse graph patterns; means for creating branches on an AND/OR command tree from the parse nodes, the condensed parse nodes, and the simplified parse graph patterns; and means for creating an exportable representation of the AND/OR command tree. | 13. A system comprising: a preprocessor to extract macroinstructions that are hard-coded into parser code of a command line interface (CLI) parser, wherein the macroinstructions define parse nodes utilized by the CLI parser to analyze whether one or more CLI commands input to a CLI prompt have a proper CLI syntax; means for generating a parse graph from the macroinstructions, wherein the parse graph includes a representation of the parse nodes defined by the macroinstructions; means for hiding selected information contained within the parse nodes to create condensed parse nodes, wherein the hiding prevents further processing of the selected information; means for simplifying selected complex patterns in the parse graph to create simplified parse graph patterns; means for creating branches on an AND/OR command tree from the parse nodes, the condensed parse nodes, and the simplified parse graph patterns; and means for creating an exportable representation of the AND/OR command tree. 18. The system of claim 13 , wherein the means for creating further comprises means for converting selected patterns into the branches on the AND/OR command tree. | 0.569149 |
9,232,205 | 12 | 14 | 12. The information processing device according to claim 11 , wherein the learning means generates a word dictionary of the words appearing in the document by using the document obtained from the learning content and creates a topic-to-frequently appearing word table of a word with high appearance frequency in the latent topic of the LDA and the appearance frequency of the word by using occurrence probability of occurrence of each word in the word dictionary in each latent topic of the LDA obtained by learning the LDA, and the browsing controlling means extracts the image feature amount of each frame of the image of the target content, performs the dimension reduction, and composes the annotation sequence by using the image feature amount after the dimension reduction, obtains a maximum likelihood state sequence in which the annotation sequence is observed in the annotation model, selects the latent topic represented by the topic label with high output probability in a state corresponding to a noted frame of interest out of states of the maximum likelihood state sequence as a frame topic representing a content of the frame of interest, selects a word with high appearance frequency in the frame topic as the annotation to be added to the frame of interest based on the topic-to-frequently appearing word table, extracts a group of one or more temporally continuous frames to which the same annotation is added as the scene from the target content, and displays the representative images of the scenes so as to be arranged in chronological order. | 12. The information processing device according to claim 11 , wherein the learning means generates a word dictionary of the words appearing in the document by using the document obtained from the learning content and creates a topic-to-frequently appearing word table of a word with high appearance frequency in the latent topic of the LDA and the appearance frequency of the word by using occurrence probability of occurrence of each word in the word dictionary in each latent topic of the LDA obtained by learning the LDA, and the browsing controlling means extracts the image feature amount of each frame of the image of the target content, performs the dimension reduction, and composes the annotation sequence by using the image feature amount after the dimension reduction, obtains a maximum likelihood state sequence in which the annotation sequence is observed in the annotation model, selects the latent topic represented by the topic label with high output probability in a state corresponding to a noted frame of interest out of states of the maximum likelihood state sequence as a frame topic representing a content of the frame of interest, selects a word with high appearance frequency in the frame topic as the annotation to be added to the frame of interest based on the topic-to-frequently appearing word table, extracts a group of one or more temporally continuous frames to which the same annotation is added as the scene from the target content, and displays the representative images of the scenes so as to be arranged in chronological order. 14. The information processing device according to claim 12 , wherein the browsing controlling means also displays the annotation added to the frame, which composes the scene, together with a representative image of the scene. | 0.932738 |
9,613,267 | 11 | 18 | 11. An image processing system comprising: a processor configured to receive a digital version of a document, the processor configured to execute instructions to perform a method of extracting structured label and value pairwise data associated with the digital version of the document, the method comprising: a) performing a layout analysis of the digital version of the document to generate one or more layout structures associated with the document, each layout structure including a plurality of structural elements vertically or horizontally aligned where each structural element is defined as a typographical box including one or more lines of textual elements associated with the digital version of the document; b) processing the one or more lines of textual elements to identify and tag textual elements associated with label and value pairwise data; c) processing the one or more layout structures and associated tagged textual elements to generate one or more respective label:value sequences of tagged textual elements representative of a respective layout structure; and d) extracting label and value pairwise data from the one or more label:value sequences of tagged elements, wherein step c) generates the one or more respective label:value sequences of tagged textual element using a sequence-based method to hierarchically segment a sequence of elements associated with the generated one or more layout structures associated with the digital version of the document; and wherein the sequence-based method includes: generating a set of n-grams from the sequence of elements, an n-gram including an ordered sequence of n features provided by a sequence of n named elements; electing sequential n-grams from the set of n-grams, the sequential n-grams defined as similar contiguous n-grams; selecting a most frequent sequential n-gram from the elected sequential n-grams; and generating a new sequence of the elements by matching the selected most frequent sequential n-gram against the sequence of elements associated with the document, replacing matched elements of the sequence of elements with a respective node, and associating the matched elements of the sequence of elements as children of the respective node. | 11. An image processing system comprising: a processor configured to receive a digital version of a document, the processor configured to execute instructions to perform a method of extracting structured label and value pairwise data associated with the digital version of the document, the method comprising: a) performing a layout analysis of the digital version of the document to generate one or more layout structures associated with the document, each layout structure including a plurality of structural elements vertically or horizontally aligned where each structural element is defined as a typographical box including one or more lines of textual elements associated with the digital version of the document; b) processing the one or more lines of textual elements to identify and tag textual elements associated with label and value pairwise data; c) processing the one or more layout structures and associated tagged textual elements to generate one or more respective label:value sequences of tagged textual elements representative of a respective layout structure; and d) extracting label and value pairwise data from the one or more label:value sequences of tagged elements, wherein step c) generates the one or more respective label:value sequences of tagged textual element using a sequence-based method to hierarchically segment a sequence of elements associated with the generated one or more layout structures associated with the digital version of the document; and wherein the sequence-based method includes: generating a set of n-grams from the sequence of elements, an n-gram including an ordered sequence of n features provided by a sequence of n named elements; electing sequential n-grams from the set of n-grams, the sequential n-grams defined as similar contiguous n-grams; selecting a most frequent sequential n-gram from the elected sequential n-grams; and generating a new sequence of the elements by matching the selected most frequent sequential n-gram against the sequence of elements associated with the document, replacing matched elements of the sequence of elements with a respective node, and associating the matched elements of the sequence of elements as children of the respective node. 18. The image processing system according to claim 11 , wherein the method comprises: e) generating a final label and value data list from the label and value pairwise data extracted in step d), the final label and value data list generated by mapping the extracted label and value pairwise data to a plurality of predefined canonical designations. | 0.5 |
8,407,667 | 1 | 3 | 1. A system comprising: a processor and a memory including a library generating module configured to cause the processor to: receive metadata extracted from server source code in a server project of an application comprising at least the server project and at least one client project, wherein the extracted metadata comprises a set of program entities comprising a computed transitive closure of an extracted program entity and program entities referenced by the extracted program entity; determine program entities within the set of program entities for which a definition is missing in the server source code; replace each of the program entities within the set of program entities for which the definition is missing with a placeholder entity; mark each placeholder entity; generate a library from the extracted metadata without compilation of the server project, wherein the library comprises metadata associated with the set of program entities, wherein each program entity in the set of program entities is an entity that is exposed to the at least one client project and wherein the library does not comprise metadata associated with program entities not exposed to the at least one client project; and provide the generated library to a reflection-based component that provides documentation and disambiguation information for an unmarked program entity in the set of program entities to a client source code editor, and not provide documentation and disambiguation information for a marked program entity in the set of program entities to the client source code editor, wherein the documentation and disambiguation information is provided to the client source code editor dynamically during development of client source code of the at least one client project. | 1. A system comprising: a processor and a memory including a library generating module configured to cause the processor to: receive metadata extracted from server source code in a server project of an application comprising at least the server project and at least one client project, wherein the extracted metadata comprises a set of program entities comprising a computed transitive closure of an extracted program entity and program entities referenced by the extracted program entity; determine program entities within the set of program entities for which a definition is missing in the server source code; replace each of the program entities within the set of program entities for which the definition is missing with a placeholder entity; mark each placeholder entity; generate a library from the extracted metadata without compilation of the server project, wherein the library comprises metadata associated with the set of program entities, wherein each program entity in the set of program entities is an entity that is exposed to the at least one client project and wherein the library does not comprise metadata associated with program entities not exposed to the at least one client project; and provide the generated library to a reflection-based component that provides documentation and disambiguation information for an unmarked program entity in the set of program entities to a client source code editor, and not provide documentation and disambiguation information for a marked program entity in the set of program entities to the client source code editor, wherein the documentation and disambiguation information is provided to the client source code editor dynamically during development of client source code of the at least one client project. 3. The system of claim 1 , wherein the metadata extracted from the server source code is associated with a type and a type definition referenced in the server source code. | 0.698944 |
8,862,577 | 12 | 14 | 12. The article of claim 11 , wherein the first visual indicators include plural different colors representing different user sentiments, including a positive sentiment, a neutral sentiment, and a negative sentiment. | 12. The article of claim 11 , wherein the first visual indicators include plural different colors representing different user sentiments, including a positive sentiment, a neutral sentiment, and a negative sentiment. 14. The article of claim 12 , wherein the second visual indicators include different amounts of filling within the graphical elements to represent different levels of uncertainty. | 0.5 |
8,060,489 | 1 | 9 | 1. A computer-implemented method for realizing a virtual bookshelf, comprising: initiating a search query to locate one or more desired books in either physical or soft copy digital form; producing search metadata corresponding to the one or more desired books; filtering metadata corresponding to books contained within the virtual bookshelf with the search metadata to determine whether the one or more desired books is present in the virtual bookshelf, wherein the virtual bookshelf comprises information representing books, in either physical or soft copy digital form, acquired by and particular to a user; and outputting results of the filtering indicative of whether the one or more desired books is present on the virtual bookshelf. | 1. A computer-implemented method for realizing a virtual bookshelf, comprising: initiating a search query to locate one or more desired books in either physical or soft copy digital form; producing search metadata corresponding to the one or more desired books; filtering metadata corresponding to books contained within the virtual bookshelf with the search metadata to determine whether the one or more desired books is present in the virtual bookshelf, wherein the virtual bookshelf comprises information representing books, in either physical or soft copy digital form, acquired by and particular to a user; and outputting results of the filtering indicative of whether the one or more desired books is present on the virtual bookshelf. 9. The computer-implemented method of claim 1 , further comprising: allowing the user to expand the search query to a specified on-line subscription service. | 0.792876 |
8,320,878 | 1 | 4 | 1. A charging system for a communication system, the charging system comprising: a plurality of network elements of a fixed network of the communication system; a plurality of user equipments of the communication system, at least some of the plurality of network elements and the plurality of user equipments comprising a charging proxy; and a charging server comprising: a topic controller for initializing charging topics, each charging topic being associable with charging data, a publication controller for, for each of the charging topics, registering proxies of the charging proxies as publishing proxies, a subscription controller for, for each of the charging topics, registering proxies of the charging proxies as subscribing proxies, a receiver for receiving charging data messages from proxies, a charging data receiver for validating a first set of charging data belonging to a first charging topic in response to a first set of charging proxies registered as publishing proxies for the first charging topic, and a transmitter for transmitting the first set of charging data to a second set of charging proxies registered as subscribing proxies for the first charging topic. | 1. A charging system for a communication system, the charging system comprising: a plurality of network elements of a fixed network of the communication system; a plurality of user equipments of the communication system, at least some of the plurality of network elements and the plurality of user equipments comprising a charging proxy; and a charging server comprising: a topic controller for initializing charging topics, each charging topic being associable with charging data, a publication controller for, for each of the charging topics, registering proxies of the charging proxies as publishing proxies, a subscription controller for, for each of the charging topics, registering proxies of the charging proxies as subscribing proxies, a receiver for receiving charging data messages from proxies, a charging data receiver for validating a first set of charging data belonging to a first charging topic in response to a first set of charging proxies registered as publishing proxies for the first charging topic, and a transmitter for transmitting the first set of charging data to a second set of charging proxies registered as subscribing proxies for the first charging topic. 4. The charging system of claim 1 wherein at least some of the charging proxies are arranged to transmit a charging event message in response to a detection that a charging condition has been met, the charging event message being associated with a charging topic. | 0.608631 |
8,825,657 | 18 | 19 | 18. An informational network neighborhood comprising: a memory configured to store a representation of: a structured web community neighborhood within a network of linked nodes, the structured web community neighborhood comprising a plurality of communities of network nodes linked by edges around a seed node, and wherein the seed node and the set of network nodes comprise one or more reference links, each of the plurality of communities comprising a set of network nodes that are more linked amongst themselves than to network nodes that are not included in the community based on an analysis of the one or more reference links of the seed node and the set of network nodes, and a set of annotations identifying concepts of the plurality of communities of the structured web community neighborhood; and a processor configured to perform probabilistic percolation crawling to construct the structured web community neighborhood, wherein performing probabilistic percolation crawling comprises following the one or more reference links in and out of the one or more web pages to one or more network nodes probabilistically, wherein performing percolation crawling further comprises randomly selecting reference links in and out of the web page and in and out of the one or more neighboring nodes, wherein selected reference out-links are added to a linked database when the link satisfies a first probability and selected reference in-links are added to the linked database when the link satisfies a second probability, the processor further configured to generate the structural web community based on the percolation crawling by iteratively partitioning the linked database into overlapping communities, the processor further configured to assign a concept to each community identified in the probabilistic percolation crawling based at least in part on a semantic analysis of the community. | 18. An informational network neighborhood comprising: a memory configured to store a representation of: a structured web community neighborhood within a network of linked nodes, the structured web community neighborhood comprising a plurality of communities of network nodes linked by edges around a seed node, and wherein the seed node and the set of network nodes comprise one or more reference links, each of the plurality of communities comprising a set of network nodes that are more linked amongst themselves than to network nodes that are not included in the community based on an analysis of the one or more reference links of the seed node and the set of network nodes, and a set of annotations identifying concepts of the plurality of communities of the structured web community neighborhood; and a processor configured to perform probabilistic percolation crawling to construct the structured web community neighborhood, wherein performing probabilistic percolation crawling comprises following the one or more reference links in and out of the one or more web pages to one or more network nodes probabilistically, wherein performing percolation crawling further comprises randomly selecting reference links in and out of the web page and in and out of the one or more neighboring nodes, wherein selected reference out-links are added to a linked database when the link satisfies a first probability and selected reference in-links are added to the linked database when the link satisfies a second probability, the processor further configured to generate the structural web community based on the percolation crawling by iteratively partitioning the linked database into overlapping communities, the processor further configured to assign a concept to each community identified in the probabilistic percolation crawling based at least in part on a semantic analysis of the community. 19. The informational network neighborhood of claim 18 wherein each neighborhood comprises one or more business related entities. | 0.613772 |
7,542,949 | 1 | 3 | 1. A computer-implemented method for controlling operations of a system in an environment using temporal patterns in data sequences, comprising: constructing a hierarchical tree of nodes, the hierarchical tree of nodes including a root node, a plurality of intermediate nodes, and a plurality of leaf nodes, and in which the root node has a plurality of child nodes, each intermediate node has a parent node and a plurality of child nodes, and each leaf node has a parent node; associating each node with a composite hidden Markov model, in which each composite hidden Markov model associated with the root node or an intermediate node has one independent path model corresponding to each child node of the node, and in which each composite hidden Markov model associated with a leaf node has a plurality of independent final path models; acquiring a set of training data sequences representing known temporal patterns of motion of physical objects in an environment; training the composite hidden Markov models using the set of training data sequences, in which the training further comprises: training the composite hidden Markov model associated with the root node with the set of training data sequences; training the composite hidden Markov models associated with each intermediate node with intermediate subsets of the set of training data sequences, each intermediate subset of the set of training data sequences including a training data sequence generated by the corresponding independent path model of the parent node of the intermediate node; and training the composite hidden Markov model associated with each leaf node with leaf subsets of the set of training data sequences to produce a plurality of trained final path models, each leaf subset of the set of training data sequences including a training data sequence generated by the corresponding independent path model of the parent node of the leaf node; constructing a single final composite hidden Markov model, in which the single final composite hidden Markov model has one independent path model for each trained final path model; acquiring unknown data sequences representing unknown temporal patterns of motion of physical objects in the environment; employing the single final composite hidden Markov model to determine known temporal patterns in the unknown data sequences; and controlling operations of a system in the environment using the determined known temporal patterns. | 1. A computer-implemented method for controlling operations of a system in an environment using temporal patterns in data sequences, comprising: constructing a hierarchical tree of nodes, the hierarchical tree of nodes including a root node, a plurality of intermediate nodes, and a plurality of leaf nodes, and in which the root node has a plurality of child nodes, each intermediate node has a parent node and a plurality of child nodes, and each leaf node has a parent node; associating each node with a composite hidden Markov model, in which each composite hidden Markov model associated with the root node or an intermediate node has one independent path model corresponding to each child node of the node, and in which each composite hidden Markov model associated with a leaf node has a plurality of independent final path models; acquiring a set of training data sequences representing known temporal patterns of motion of physical objects in an environment; training the composite hidden Markov models using the set of training data sequences, in which the training further comprises: training the composite hidden Markov model associated with the root node with the set of training data sequences; training the composite hidden Markov models associated with each intermediate node with intermediate subsets of the set of training data sequences, each intermediate subset of the set of training data sequences including a training data sequence generated by the corresponding independent path model of the parent node of the intermediate node; and training the composite hidden Markov model associated with each leaf node with leaf subsets of the set of training data sequences to produce a plurality of trained final path models, each leaf subset of the set of training data sequences including a training data sequence generated by the corresponding independent path model of the parent node of the leaf node; constructing a single final composite hidden Markov model, in which the single final composite hidden Markov model has one independent path model for each trained final path model; acquiring unknown data sequences representing unknown temporal patterns of motion of physical objects in the environment; employing the single final composite hidden Markov model to determine known temporal patterns in the unknown data sequences; and controlling operations of a system in the environment using the determined known temporal patterns. 3. The computer-implemented method of claim 1 , in which each composite hidden Markov model has two independent path models, and the hierarchical tree is a binary tree. | 0.873684 |
6,018,708 | 22 | 23 | 22. A method as defined in claim 17, wherein said standard text lexicon includes M orthographies, comprising the step of inserting into said list N orthographies present in said standard text lexicon, where M.gtoreq.N. | 22. A method as defined in claim 17, wherein said standard text lexicon includes M orthographies, comprising the step of inserting into said list N orthographies present in said standard text lexicon, where M.gtoreq.N. 23. A method as defined in claim 22, comprising the step of scoring orthographies in said standard text lexicon on a basis of a potential match with the spoken utterance. | 0.804598 |
9,300,682 | 13 | 14 | 13. A system for analyzing executable content within at least one network of an enterprise, comprising: a plurality of collection agents disposed within one or more networks of an enterprise and executable by one or more hardware processors of one or more devices within the one or more networks, wherein each collection agent is configured to detect a presence of multiple instances of executable content within the enterprise; and a central analysis server remotely disposed from and in operative communication with the plurality of collection agents via the one or more networks, the central analysis server comprising: a collection engine, executable by a hardware processor of the central analysis server, that is configured to capture and store the multiple instances of executable content received from the plurality of collection agents; an extraction engine, executable by the hardware processor of the central analysis server, that is configured to extract one or more characteristics from each instance of the executable content; an analysis engine, executable by the hardware processor of the central analysis server, that is configured to: identify associations among the extracted characteristics; determine, based on the associations among the extracted characteristics, that a first portion of executable content is associated with a non-trusted entity; obtain a hash value for the first portion of executable content; and store the hash value and the associated extracted characteristics to create a non-trusted entity profile; and a first database that is configured to store the extracted characteristics, identified associations, and hash value, the first database being accessible by the hardware processor of the central analysis server and the plurality of collection agents such that each of the plurality of collection agents is operable to identify at least another portion of executable content associated with the non-trusted entity based on the hash value that has been recognized and presented in the database, wherein each of the plurality of collection agents is operable to transmit to the central analysis server an indication of notice indicative of a detection of the non-trusted entity at the corresponding collection agent, the indication comprising the hash value, location information but not a copy of the at least another portion of executable content to limit use of enterprise infrastructure resources and so as to update the non-trusted entity profile. | 13. A system for analyzing executable content within at least one network of an enterprise, comprising: a plurality of collection agents disposed within one or more networks of an enterprise and executable by one or more hardware processors of one or more devices within the one or more networks, wherein each collection agent is configured to detect a presence of multiple instances of executable content within the enterprise; and a central analysis server remotely disposed from and in operative communication with the plurality of collection agents via the one or more networks, the central analysis server comprising: a collection engine, executable by a hardware processor of the central analysis server, that is configured to capture and store the multiple instances of executable content received from the plurality of collection agents; an extraction engine, executable by the hardware processor of the central analysis server, that is configured to extract one or more characteristics from each instance of the executable content; an analysis engine, executable by the hardware processor of the central analysis server, that is configured to: identify associations among the extracted characteristics; determine, based on the associations among the extracted characteristics, that a first portion of executable content is associated with a non-trusted entity; obtain a hash value for the first portion of executable content; and store the hash value and the associated extracted characteristics to create a non-trusted entity profile; and a first database that is configured to store the extracted characteristics, identified associations, and hash value, the first database being accessible by the hardware processor of the central analysis server and the plurality of collection agents such that each of the plurality of collection agents is operable to identify at least another portion of executable content associated with the non-trusted entity based on the hash value that has been recognized and presented in the database, wherein each of the plurality of collection agents is operable to transmit to the central analysis server an indication of notice indicative of a detection of the non-trusted entity at the corresponding collection agent, the indication comprising the hash value, location information but not a copy of the at least another portion of executable content to limit use of enterprise infrastructure resources and so as to update the non-trusted entity profile. 14. The system of claim 13 , wherein at least one of the collection agents resides at a strategic point in the enterprise infrastructure, the strategic point being selected from the group consisting of: a network edge, a major subnet division, and a router. | 0.639045 |
9,300,963 | 16 | 18 | 16. An apparatus for deriving a motion vector predictor (MVP) for a motion vector (MV) of a current block in Inter, Merge, or Skip mode, wherein the MVP is selected from MVP candidates comprising one or more spatial MVP candidates associated with one or more neighboring blocks and one or more temporal MVP candidates associated with one or more co-located blocks, the apparatus comprising at least one circuit configured to: determine whether said one or more temporal MVP candidates are disabled according to a flag in a video bitstream, wherein the flag is utilized for selectively disabling use of said one or more temporal MVP candidates for motion vector prediction; derive the MVP based on said one or more spatial MVP candidates responsive to the flag indicating that said one or more temporal MVP candidates are not to be utilized for motion vector prediction; derive the MVP based on said one or more spatial MVP candidates and said one or more temporal MVP candidates responsive to the flag indicating that said one or more temporal MVP candidates are to be utilized for motion vector prediction; and provide the MVP for the current block. | 16. An apparatus for deriving a motion vector predictor (MVP) for a motion vector (MV) of a current block in Inter, Merge, or Skip mode, wherein the MVP is selected from MVP candidates comprising one or more spatial MVP candidates associated with one or more neighboring blocks and one or more temporal MVP candidates associated with one or more co-located blocks, the apparatus comprising at least one circuit configured to: determine whether said one or more temporal MVP candidates are disabled according to a flag in a video bitstream, wherein the flag is utilized for selectively disabling use of said one or more temporal MVP candidates for motion vector prediction; derive the MVP based on said one or more spatial MVP candidates responsive to the flag indicating that said one or more temporal MVP candidates are not to be utilized for motion vector prediction; derive the MVP based on said one or more spatial MVP candidates and said one or more temporal MVP candidates responsive to the flag indicating that said one or more temporal MVP candidates are to be utilized for motion vector prediction; and provide the MVP for the current block. 18. The apparatus of claim 16 , wherein the at least one circuit is further configured to skip MV-based spatial redundant MVP removal, wherein the MV-based spatial redundant MVP removal determines a spatial redundant MVP by comparing an MV value of a currently determined MVP with an MV value of a previously determined MVP. | 0.568 |
9,477,446 | 3 | 4 | 3. The method of claim 2 , further comprising: analyzing the revised version of the one or more contracts and the integrated model to determine whether the revised version of the one or more contracts include each requirement described by the integrated model. | 3. The method of claim 2 , further comprising: analyzing the revised version of the one or more contracts and the integrated model to determine whether the revised version of the one or more contracts include each requirement described by the integrated model. 4. The method of claim 3 , wherein the revised version of the one or more contracts may be iteratively revised until they include each requirement included in the integrated model. | 0.5 |
4,226,361 | 5 | 13 | 5. A positive identification device for verifying the authenticity of the user of a document coded with visible identification information, where the authorized user of said document has been given a secret code for memorization which corresponds to said visible identification information, said device comprising: a. first entering means comprising at least one user dial for manually entering a user code into said device, said user dial having along its outer edge indicia corresponding to said user code; b. second entering means for manually entering said visible identification information into said device; c. an indicator; d. a power source; e. an electrical circuit having an enabled and disabled state, said electrical circuit comprising a plurality of first switches which are responsive in a predetermined manner to said manually entered user code and which have an on state and an off state, and a plurality of second switches equal in number to said first switches, said second switches each having an on state and an off state, said second switches being responsive in a predetermined manner to said manually entered visible identification information, said second entering means composing a plurality of manually operated single throw switching members equal in number to said second switches, said single throw switching members having markings corresponding to said visible identification information, each of said single throw switching members being wired to a respective one of said second switches so that each of said second switches is actuated upon its respective single throw switching member being thrown into the on position, said first switches and said second switches being respectively wired together so that the state of said electrical circuit becomes enabled only upon the changing of state of said first switches being complementary to the changing of state of said second switches, said electrical circuit being connected with said indicator and said power source, said indicator being responsive to said electrical circuit being enabled, said indicator being activated only if said manually entered user code corresponds to said manually entered visible identification information; f. actuating means for actuating said first switches, said actuating means being controlled in a predetermined manner by said first entering means, said actuating means having a plurality of coupling members equal in number to said first switches, each of said coupling members being coupled to a respective said first switch, said actuating means further having an axle and at lease one cylinder having a circular cavity at each of its ends each of said cylinder's ends having a rim of narrow width, said cylinder being rotatably mounted upon said axle, said cylinder having upon its surface a plurality of engaging means for cooperatively engaging with said coupling members, said engaging means arranged in a predetermined manner, said cylinder being located in a close proximity to said coupling members so that said engaging means can engage said coupling members, each of said first switches being actuated upon its respective said coupling member being engaged by said engaging means, said user dial being rotatably mounted on said axle, said user dial being secured to said cylinder, said indicia along the outer edge of said user dial being aligned with said engaging means in a predetermined manner; g. a stressed torque spring, said stressed torque spring surrounding said axle, said stressed torque spring being connected to and positioned between said user dial and said cylinder when said user dial and said cylinder are secured to each other, said stressed torque spring being compressed and twisted so that it propels said user dial and said cylinder apart and causes them to rotate in opposite directions upon their ceasing to be secured together, thereby preventing the detection of the predetermined manner in which said indicia along the outer edge of said user dial and said engaging means were aligned with each other; and h. at least one I-beam, the number of said I-beams greater than one being equal to the number of said cylinders greater than two, said I-beam surrounding said axle, said I-beam being positioned adjacent said end of said cylinder opposite said user dial, said I-beam having spacers of narrow width disposed along its sides and coincident with said rim of said cylinder opposite to said user dial, said spacers being disposed so that said cylinder and said user dial are compressed together so that they are secured to each other, but would no longer be secured to each other if said first I-beam is displaced a small distance. | 5. A positive identification device for verifying the authenticity of the user of a document coded with visible identification information, where the authorized user of said document has been given a secret code for memorization which corresponds to said visible identification information, said device comprising: a. first entering means comprising at least one user dial for manually entering a user code into said device, said user dial having along its outer edge indicia corresponding to said user code; b. second entering means for manually entering said visible identification information into said device; c. an indicator; d. a power source; e. an electrical circuit having an enabled and disabled state, said electrical circuit comprising a plurality of first switches which are responsive in a predetermined manner to said manually entered user code and which have an on state and an off state, and a plurality of second switches equal in number to said first switches, said second switches each having an on state and an off state, said second switches being responsive in a predetermined manner to said manually entered visible identification information, said second entering means composing a plurality of manually operated single throw switching members equal in number to said second switches, said single throw switching members having markings corresponding to said visible identification information, each of said single throw switching members being wired to a respective one of said second switches so that each of said second switches is actuated upon its respective single throw switching member being thrown into the on position, said first switches and said second switches being respectively wired together so that the state of said electrical circuit becomes enabled only upon the changing of state of said first switches being complementary to the changing of state of said second switches, said electrical circuit being connected with said indicator and said power source, said indicator being responsive to said electrical circuit being enabled, said indicator being activated only if said manually entered user code corresponds to said manually entered visible identification information; f. actuating means for actuating said first switches, said actuating means being controlled in a predetermined manner by said first entering means, said actuating means having a plurality of coupling members equal in number to said first switches, each of said coupling members being coupled to a respective said first switch, said actuating means further having an axle and at lease one cylinder having a circular cavity at each of its ends each of said cylinder's ends having a rim of narrow width, said cylinder being rotatably mounted upon said axle, said cylinder having upon its surface a plurality of engaging means for cooperatively engaging with said coupling members, said engaging means arranged in a predetermined manner, said cylinder being located in a close proximity to said coupling members so that said engaging means can engage said coupling members, each of said first switches being actuated upon its respective said coupling member being engaged by said engaging means, said user dial being rotatably mounted on said axle, said user dial being secured to said cylinder, said indicia along the outer edge of said user dial being aligned with said engaging means in a predetermined manner; g. a stressed torque spring, said stressed torque spring surrounding said axle, said stressed torque spring being connected to and positioned between said user dial and said cylinder when said user dial and said cylinder are secured to each other, said stressed torque spring being compressed and twisted so that it propels said user dial and said cylinder apart and causes them to rotate in opposite directions upon their ceasing to be secured together, thereby preventing the detection of the predetermined manner in which said indicia along the outer edge of said user dial and said engaging means were aligned with each other; and h. at least one I-beam, the number of said I-beams greater than one being equal to the number of said cylinders greater than two, said I-beam surrounding said axle, said I-beam being positioned adjacent said end of said cylinder opposite said user dial, said I-beam having spacers of narrow width disposed along its sides and coincident with said rim of said cylinder opposite to said user dial, said spacers being disposed so that said cylinder and said user dial are compressed together so that they are secured to each other, but would no longer be secured to each other if said first I-beam is displaced a small distance. 13. The device of claim 5 wherein said power source is a battery. | 0.953035 |
8,230,331 | 18 | 19 | 18. The method of claim 14 , further comprising: inserting the classification identifiers into the structured document, the classification identifiers indicating authorization of the user to access the one or more structural elements. | 18. The method of claim 14 , further comprising: inserting the classification identifiers into the structured document, the classification identifiers indicating authorization of the user to access the one or more structural elements. 19. The method of claim 18 , wherein the inserting of the classification identifiers into the structured document comprises: manually editing the structured document to insert the classification identifiers at appropriate locations in the structured document to classify the one or more structural elements. | 0.5 |
9,087,507 | 1 | 15 | 1. A computer-implemented method for aurally scrolling an information source, comprising: analyzing an information source; wherein the information source comprises a plurality of markup tags; wherein analyzing the information source comprises using the plurality of markup tags to identify a plurality of segments of the information source from which to derive corresponding marker texts; generating and storing, separate from the information source, a set of a plurality of marker texts based at least on the analyzing of the information source including generating each marker text in the set of marker texts based at least on an analysis of a corresponding segment, of the plurality of identified segments, of the information source; wherein the analysis of a particular segment, of the plurality of identified segments, corresponding to a particular marker text of the set of marker texts comprises applying a summarization technique to the particular segment to derive the particular marker text; wherein the analysis of the particular segment comprises determining a significance of the particular segment based at least in part on a relative amount of text content of the particular segment; generating and storing data that comprises, for each marker text in the set of marker texts, an association between the marker text and a location within the information source, the location corresponding to the segment of the information source that corresponds to the marker text; arranging the plurality of marker texts in a sequence, the particular marker text having an order in the sequence; wherein the order of the particular marker text in the sequence is dependent on the determined significance of the particular segment that was determined based at least in part on the relative amount of text content of the particular segment; initiating an aural presentation of the sequence, the aural presentation comprising computerized text-to-speech synthesis of at least a portion of the sequence; during the aural presentation of the sequence, receiving input while the particular marker text of the set of marker texts is being aurally presented; and in response to the input: ceasing the aural presentation of the particular marker text; inspecting the data to identify the location associated with the particular marker text; and initiating an aural presentation of the information source at the location associated with the particular marker text, the aural presentation comprising computerized text-to-speech synthesis of at least a portion of the information source; wherein the method is performed by one or more computing devices. | 1. A computer-implemented method for aurally scrolling an information source, comprising: analyzing an information source; wherein the information source comprises a plurality of markup tags; wherein analyzing the information source comprises using the plurality of markup tags to identify a plurality of segments of the information source from which to derive corresponding marker texts; generating and storing, separate from the information source, a set of a plurality of marker texts based at least on the analyzing of the information source including generating each marker text in the set of marker texts based at least on an analysis of a corresponding segment, of the plurality of identified segments, of the information source; wherein the analysis of a particular segment, of the plurality of identified segments, corresponding to a particular marker text of the set of marker texts comprises applying a summarization technique to the particular segment to derive the particular marker text; wherein the analysis of the particular segment comprises determining a significance of the particular segment based at least in part on a relative amount of text content of the particular segment; generating and storing data that comprises, for each marker text in the set of marker texts, an association between the marker text and a location within the information source, the location corresponding to the segment of the information source that corresponds to the marker text; arranging the plurality of marker texts in a sequence, the particular marker text having an order in the sequence; wherein the order of the particular marker text in the sequence is dependent on the determined significance of the particular segment that was determined based at least in part on the relative amount of text content of the particular segment; initiating an aural presentation of the sequence, the aural presentation comprising computerized text-to-speech synthesis of at least a portion of the sequence; during the aural presentation of the sequence, receiving input while the particular marker text of the set of marker texts is being aurally presented; and in response to the input: ceasing the aural presentation of the particular marker text; inspecting the data to identify the location associated with the particular marker text; and initiating an aural presentation of the information source at the location associated with the particular marker text, the aural presentation comprising computerized text-to-speech synthesis of at least a portion of the information source; wherein the method is performed by one or more computing devices. 15. The computer-implemented method as recited in claim 1 , wherein the particular marker text comprises an excerpt of the information source identified based on at least one of: a font characteristic of the information source that changes near the location associated with the particular marker text; a typographic characteristic of the information source that changes near the location associated with the particular marker text; a semantic significance of the information source identified near the location associated with the particular marker text; a syntactic significance of the information source identified near the location associated with the particular marker text; a named entity of the information source identified near the location associated with the particular marker text; and a markup tag of the information source identified near the location associated with the particular marker text. | 0.5 |
9,978,259 | 13 | 15 | 13. A non-transitory computer-readable medium storing a program which when executed by a computer causes the computer to: determine at least one action of a user based on motion data received from a motion sensor, determine at least one event associated with text information, the text information being obtained from at least one of social media content and audio data, generate state information of the user based on the at least one action and the at least one event, and provide information related to the state information to the user, wherein the state information includes an attainment level indicating a current attainment level with respect to a goal, a current value related to a current state of the goal, which is acquired by the at least one action, and a comparison value obtained by comparing the current value related to the current state of the goal and a past value related to a past state of the goal, the comparison value being a value acquired from the at least one action. | 13. A non-transitory computer-readable medium storing a program which when executed by a computer causes the computer to: determine at least one action of a user based on motion data received from a motion sensor, determine at least one event associated with text information, the text information being obtained from at least one of social media content and audio data, generate state information of the user based on the at least one action and the at least one event, and provide information related to the state information to the user, wherein the state information includes an attainment level indicating a current attainment level with respect to a goal, a current value related to a current state of the goal, which is acquired by the at least one action, and a comparison value obtained by comparing the current value related to the current state of the goal and a past value related to a past state of the goal, the comparison value being a value acquired from the at least one action. 15. The non-transitory computer-readable medium according to claim 13 , wherein the text information is associated with a time at which the at least one action is performed. | 0.810722 |
8,203,767 | 7 | 13 | 7. An image reading apparatus comprising: a first image reading unit configured to read an image of a first surface of a traveling original document; a first conveying path configured to reach from a document placing unit to the first image reading unit, the first conveying path including a first reversing unit formed in an arc shape, the first conveying path being an OUT path including the first reversing unit; a second conveying path configured to reach from the document placing unit to the first image reading unit and have a path different from the first conveying path, the second conveying path having a second reversing unit formed in an arc shape, the second conveying path being an IN path including the second reversing unit having a radius smaller than a radius of the first reversing unit; a gate unit configured to direct original documents, which are sent from the document placing unit, to either the first conveying path or the second conveying path, the gate directing the original document to the OUT path when the original document has a thickness equal to or larger than a fixed thickness; a document conveying unit includes a first conveyance mode which conveying the original documents with overlap a trailing edge of a preceding original document and a leading edge of a following original document, when the gate unit alternately directs the original documents from the document placing unit, to the first conveying path or the second conveying path; a separating unit configured to separate the overlap of the trailing edge of the preceding original document and the leading edge of the following original document before the leading edge of the following original document reaches the first image reading unit; and a paper discharging unit configured to discharge the original document that finishes passing through the first image reading unit. | 7. An image reading apparatus comprising: a first image reading unit configured to read an image of a first surface of a traveling original document; a first conveying path configured to reach from a document placing unit to the first image reading unit, the first conveying path including a first reversing unit formed in an arc shape, the first conveying path being an OUT path including the first reversing unit; a second conveying path configured to reach from the document placing unit to the first image reading unit and have a path different from the first conveying path, the second conveying path having a second reversing unit formed in an arc shape, the second conveying path being an IN path including the second reversing unit having a radius smaller than a radius of the first reversing unit; a gate unit configured to direct original documents, which are sent from the document placing unit, to either the first conveying path or the second conveying path, the gate directing the original document to the OUT path when the original document has a thickness equal to or larger than a fixed thickness; a document conveying unit includes a first conveyance mode which conveying the original documents with overlap a trailing edge of a preceding original document and a leading edge of a following original document, when the gate unit alternately directs the original documents from the document placing unit, to the first conveying path or the second conveying path; a separating unit configured to separate the overlap of the trailing edge of the preceding original document and the leading edge of the following original document before the leading edge of the following original document reaches the first image reading unit; and a paper discharging unit configured to discharge the original document that finishes passing through the first image reading unit. 13. The apparatus according to claim 7 , further comprising a second image reading unit configured to read an image of a second surface of the original document along the paper discharging unit. | 0.685065 |
9,626,968 | 1 | 5 | 1. A method of operating a speech processing system, the method comprising: receiving a portion of a speech record from an audio source, the speech record having been produced by the audio source and transferred by the audio source to the speech processing system; determining, by the speech processing system, from metadata accompanying the portion of the speech record, a first context and a second context for the portion of the speech record, wherein the first context has a first probability of correct context and the second context has a second probability of correct context; processing, by the speech processing system, the portion of the speech record to create a first text translation for the portion of the speech record in the first context, wherein the first text translation has a first probability of correct translation within the first context; processing, by the speech processing system, the same portion of the speech record to create a second text translation for the portion of the speech record in the second context, wherein the second text translation has a second probability of correct translation within the second context; processing, by the speech processing system, the first probability of correct translation and the first probability of correct context, to produce a first probability; processing, by the speech processing system, the second probability of correct translation within the second context and the second probability of correct context, to produce a second probability; selecting, by the speech processing system, the first translation as the correct translation when the first probability is greater than the second probability; and selecting, by the speech processing system, the second translation as the correct translation when the second probability is greater than the first probability. | 1. A method of operating a speech processing system, the method comprising: receiving a portion of a speech record from an audio source, the speech record having been produced by the audio source and transferred by the audio source to the speech processing system; determining, by the speech processing system, from metadata accompanying the portion of the speech record, a first context and a second context for the portion of the speech record, wherein the first context has a first probability of correct context and the second context has a second probability of correct context; processing, by the speech processing system, the portion of the speech record to create a first text translation for the portion of the speech record in the first context, wherein the first text translation has a first probability of correct translation within the first context; processing, by the speech processing system, the same portion of the speech record to create a second text translation for the portion of the speech record in the second context, wherein the second text translation has a second probability of correct translation within the second context; processing, by the speech processing system, the first probability of correct translation and the first probability of correct context, to produce a first probability; processing, by the speech processing system, the second probability of correct translation within the second context and the second probability of correct context, to produce a second probability; selecting, by the speech processing system, the first translation as the correct translation when the first probability is greater than the second probability; and selecting, by the speech processing system, the second translation as the correct translation when the second probability is greater than the first probability. 5. The method of claim 1 , wherein the portion of the speech record is a portion of a call and the context for the portion of the speech record is a position of the portion of the speech record within the call. | 0.535398 |
9,313,312 | 11 | 15 | 11. A system for determining the status of an answered telephone during the course of an outbound telephone call comprising: an automated telephone calling device for placing a telephone call to a location having a telephone number at which a target person is listed; and a speaker-independent speech recognition system which, upon said telephone call being answered, initiates a prerecorded greeting which asks for the target person, receives an initial response, determines whether said initial response is being provided by an answering machine by distinguishing between a live person and a machine according to whether the initial response is longer than a predetermined time or whether a beep tone is detected, determine that a spoken response from has been received by an answering person, and performs a speech recognition analysis on said spoken response to determine the meaning of said spoken response; wherein, if said speaker-independent speech recognition system determines that said answering person is said target person, said speaker-independent speech recognition system initiates a speaker-independent speech recognition application with said target person, wherein the speaker-independent speech recognition application is an interactive speech application configured and arranged to provide a series of acoustic prompts to the answering person by telephonic interaction, wherein the speech recognition application comprises a Web access application, an educational application, a learning and lesson application, or a compliance application, and wherein the speaker-independent speech recognition system is configured to provide conditional responses based on the meaning of the spoken response as determined by the speaker-independent speech recognition analysis in accordance with a speaker-independent speech recognition enabled state of conversation selected from the group consisting of (1) the answering person indicates that he or she is the target person, (2) the answering person indicates that he or she is not the target person, (3) the answering person indicates that the target person is not present at the location, (4) the answering person indicates a hold request, (5) the answering person requests the identity of the caller, (6) the answering person indicates that the telephone number is not the correct number for the target person, and (7) the speaker-independent speech recognition analysis cannot determine the meaning of the spoken response from the answering person. | 11. A system for determining the status of an answered telephone during the course of an outbound telephone call comprising: an automated telephone calling device for placing a telephone call to a location having a telephone number at which a target person is listed; and a speaker-independent speech recognition system which, upon said telephone call being answered, initiates a prerecorded greeting which asks for the target person, receives an initial response, determines whether said initial response is being provided by an answering machine by distinguishing between a live person and a machine according to whether the initial response is longer than a predetermined time or whether a beep tone is detected, determine that a spoken response from has been received by an answering person, and performs a speech recognition analysis on said spoken response to determine the meaning of said spoken response; wherein, if said speaker-independent speech recognition system determines that said answering person is said target person, said speaker-independent speech recognition system initiates a speaker-independent speech recognition application with said target person, wherein the speaker-independent speech recognition application is an interactive speech application configured and arranged to provide a series of acoustic prompts to the answering person by telephonic interaction, wherein the speech recognition application comprises a Web access application, an educational application, a learning and lesson application, or a compliance application, and wherein the speaker-independent speech recognition system is configured to provide conditional responses based on the meaning of the spoken response as determined by the speaker-independent speech recognition analysis in accordance with a speaker-independent speech recognition enabled state of conversation selected from the group consisting of (1) the answering person indicates that he or she is the target person, (2) the answering person indicates that he or she is not the target person, (3) the answering person indicates that the target person is not present at the location, (4) the answering person indicates a hold request, (5) the answering person requests the identity of the caller, (6) the answering person indicates that the telephone number is not the correct number for the target person, and (7) the speaker-independent speech recognition analysis cannot determine the meaning of the spoken response from the answering person. 15. The system of claim 11 wherein, if said speech recognition device determines that said spoken response is a hold request, said speech recognition enters a wait state to wait for said target person to provide a spoken response to said telephone call. | 0.800787 |
8,812,544 | 9 | 11 | 9. The system of claim 1 , wherein the plurality of entities includes one or more content types, one or more repositories, one or more actions, and one or more object types. | 9. The system of claim 1 , wherein the plurality of entities includes one or more content types, one or more repositories, one or more actions, and one or more object types. 11. The system of claim 9 , wherein the ontology modeling system is further configured for: mapping one or more repositories with one or more object types, thereby indicating that the one or more object types are included in the one or more repositories. | 0.5 |
6,138,086 | 1 | 3 | 1. A computer-based method of encoding language, country and character set attributes of a file, said method comprising: (a) receiving a first code indicating required attributes of language; (b) receiving a second code indicating required attributes of country; (c) receiving a third code indicating a coded graphic character set identifier; (d) mapping said first, second and third codes into a unique two-byte hexadecimal code for use in association with said file; (e) outputting said unique two-byte hexadecimal code in association with said file; and (f) thereafter, in response to receipt of said unique two-byte hexadecimal code and said file, converting said file in accordance with said unique two-byte hexadecimal code such that at least one of said required attributes of languaqe, required attributes of country, and said graphic character set is altered. | 1. A computer-based method of encoding language, country and character set attributes of a file, said method comprising: (a) receiving a first code indicating required attributes of language; (b) receiving a second code indicating required attributes of country; (c) receiving a third code indicating a coded graphic character set identifier; (d) mapping said first, second and third codes into a unique two-byte hexadecimal code for use in association with said file; (e) outputting said unique two-byte hexadecimal code in association with said file; and (f) thereafter, in response to receipt of said unique two-byte hexadecimal code and said file, converting said file in accordance with said unique two-byte hexadecimal code such that at least one of said required attributes of languaqe, required attributes of country, and said graphic character set is altered. 3. The method as set forth in claim 1, wherein the first code is a two-character code. | 0.869697 |
9,710,370 | 1 | 3 | 1. One or more non-transitory computer-readable media, having executable code embodied thereon, wherein the code, when executed by one or more processors of a computing system, enables the computing system to: provide a test library to a testing environment utilized to perform automated testing of a software application in accordance with test code, the testing environment to perform automated testing of core functionality encoded in a first programming language, and the test library extending the testing capabilities of the testing environment to perform automated testing of shell scripts, which are encoded in a second programming language and invoke one or more executable modules external to the software application, by communicating with an interpreter that is to execute the second programming language and generate test versions of the one or more executable modules in accordance with the test code; and automatically test the core functionality and the shell scripts of the software application under test, utilizing the testing environment with the test library, in accordance with the test code, wherein the test code defines execution parameters for execution of the core functionality and the shell scripts of the software application under test and validation parameters for the validation of results of the execution of the core functionality of the software application under test. | 1. One or more non-transitory computer-readable media, having executable code embodied thereon, wherein the code, when executed by one or more processors of a computing system, enables the computing system to: provide a test library to a testing environment utilized to perform automated testing of a software application in accordance with test code, the testing environment to perform automated testing of core functionality encoded in a first programming language, and the test library extending the testing capabilities of the testing environment to perform automated testing of shell scripts, which are encoded in a second programming language and invoke one or more executable modules external to the software application, by communicating with an interpreter that is to execute the second programming language and generate test versions of the one or more executable modules in accordance with the test code; and automatically test the core functionality and the shell scripts of the software application under test, utilizing the testing environment with the test library, in accordance with the test code, wherein the test code defines execution parameters for execution of the core functionality and the shell scripts of the software application under test and validation parameters for the validation of results of the execution of the core functionality of the software application under test. 3. The one or more computer-readable media of claim 1 , wherein the one or more executable modules are located at a first path and to generate the test versions of the one or more executable modules is to generate the test versions of the one or more executable modules to a second path that is different from the first path, and wherein the test library further extends the testing capabilities of the testing environment to enable the computing system to change a search path of the software application from the first path to the second path. | 0.61127 |
8,930,372 | 10 | 11 | 10. The search method according to claim 9 , wherein displaying the results comprises: generating a summary from the character string from each of the documents in the information; and adding to the summary different attribute information to identify tokens that are each inquired using the plurality of kinds of search tokens and other tokens redundantly inquired using the plurality of kinds of search tokens to display a correspondence level of the plurality of kinds of search tokens. | 10. The search method according to claim 9 , wherein displaying the results comprises: generating a summary from the character string from each of the documents in the information; and adding to the summary different attribute information to identify tokens that are each inquired using the plurality of kinds of search tokens and other tokens redundantly inquired using the plurality of kinds of search tokens to display a correspondence level of the plurality of kinds of search tokens. 11. The search method according to claim 10 , wherein issuing the search command comprises: receiving a search string including a plurality of search words to generate a plurality of kinds of search tokens from the plurality of search words; and generating a search command to execute inquiries inclusive of a plurality of the parallel inquiries corresponding to the search string. | 0.5 |
8,645,815 | 11 | 15 | 11. A non-transitory medium storing a GUI evaluation program, when executed by a processor, performs: a heading group specification process for grouping prerecorded headings included in each evaluation target screen by expression used for the headings in accordance with the GUI information including information indicative of heading expressions which are the expressions used for the headings; and a heading expression evaluation process for evaluating a consistency of the heading expressions between a plurality of evaluation target screens by comparing heading groups that are grouped by the heading group specification process and included in all possible combinations of two of the plurality of evaluation target screens. | 11. A non-transitory medium storing a GUI evaluation program, when executed by a processor, performs: a heading group specification process for grouping prerecorded headings included in each evaluation target screen by expression used for the headings in accordance with the GUI information including information indicative of heading expressions which are the expressions used for the headings; and a heading expression evaluation process for evaluating a consistency of the heading expressions between a plurality of evaluation target screens by comparing heading groups that are grouped by the heading group specification process and included in all possible combinations of two of the plurality of evaluation target screens. 15. The non-transitory computer readable information recording medium according to claim 11 , when executed by a processor, performs: an amendment proposal generation process for specifying the hierarchical structure of heading expressions in an evaluation target screen having the largest number of different heading expressions in accordance with heading expression positions in the evaluation target screen, and generating an amendment proposal indicative of heading expression changes in headings included in a screen involving an inconsistency in such a manner that the hierarchical structure of heading expressions in the screen involving an inconsistency agrees with a downwardly traced hierarchical structure or upwardly traced hierarchical structure that is a part of the hierarchical structure of heading expressions in the screen having the largest number of different heading expressions. | 0.5 |
7,730,395 | 1 | 16 | 1. A method for transforming a dynamically changing electronic document comprising the steps of: providing a visual representation of one or more instances of a dynamically changing electronic document to a user; receiving feedback from interaction by said user with said visual representation, said feedback identifying one or more portions of said visual representation, said feedback being used to generate one or more virtual tags, said virtual tags identifying features of said one or more portions of said visual representation; constructing one or more transformation rules using said feedback and said one or more virtual tags; and applying said one or more transformation rules to said one or more instances of said electronic document, a second electronic document or future versions of said one or more instances of said electronic document to extract customized content identified from said one or more virtual tags and generate a virtual page of said customized content; and providing a visual representation of said virtual page. | 1. A method for transforming a dynamically changing electronic document comprising the steps of: providing a visual representation of one or more instances of a dynamically changing electronic document to a user; receiving feedback from interaction by said user with said visual representation, said feedback identifying one or more portions of said visual representation, said feedback being used to generate one or more virtual tags, said virtual tags identifying features of said one or more portions of said visual representation; constructing one or more transformation rules using said feedback and said one or more virtual tags; and applying said one or more transformation rules to said one or more instances of said electronic document, a second electronic document or future versions of said one or more instances of said electronic document to extract customized content identified from said one or more virtual tags and generate a virtual page of said customized content; and providing a visual representation of said virtual page. 16. The method of claim 1 further comprising the step of: monitoring the one or more virtual tags and the one or more transformation rules. | 0.905571 |
8,380,875 | 4 | 5 | 4. The method of claim of 3 wherein the identification of the portion of the content of the electronic document includes identifying textual terms within the electronic document. | 4. The method of claim of 3 wherein the identification of the portion of the content of the electronic document includes identifying textual terms within the electronic document. 5. The method of claim 4 wherein the identification of the textual terms includes identifying the textual terms within the body of the electronic document. | 0.5 |
10,068,490 | 7 | 19 | 7. A method for improving student learning, the method comprising: presenting learning material to a student; measuring physiological data of the student with a device as the learning material is presented, wherein the data includes at least three of a brain activity of the student, a measurement of the time it takes the student to read the material, a response time of the student to a request or question posed, a correctness of a response by the student, a total time the student has been engaged in learning, a position of gaze of the student and a posture of the student; determining a cognitive state of the student with a cognitive assessment algorithm that uses the physiological data; and modifying a continued presentation of the learning material in real time with a learning action algorithm that uses the cognitive state of the student. | 7. A method for improving student learning, the method comprising: presenting learning material to a student; measuring physiological data of the student with a device as the learning material is presented, wherein the data includes at least three of a brain activity of the student, a measurement of the time it takes the student to read the material, a response time of the student to a request or question posed, a correctness of a response by the student, a total time the student has been engaged in learning, a position of gaze of the student and a posture of the student; determining a cognitive state of the student with a cognitive assessment algorithm that uses the physiological data; and modifying a continued presentation of the learning material in real time with a learning action algorithm that uses the cognitive state of the student. 19. The method of claim 7 , wherein measuring the physiological data of the student includes the brain activity of the student, the correctness of the response by the student and at least one of the measurement of the time it takes the student to read the material, the response time of the student to the request or question posed, the total time the student has been engaged in learning, the position of gaze of the student and the posture of the student. | 0.558027 |
10,162,735 | 1 | 6 | 1. A method comprising: receiving, by a processing device, a software testing executable script; appending, by the processing device, the software testing executable script to a list of executable scripts; defining, by the processing device, a test environment comprising a management node and a testable component of a distributed network; establishing, over the distributed network, a trusted connection between the management node and the testable component; receiving, at the management node, an identifier of the software testing executable script, an identifier of a target for which the management node is to execute the software testing executable script, and a schedule for executing the software testing executable script, wherein the management node is separate from the target; and executing, by the management node, in view of the schedule, the identified software testing executable script with respect to the target. | 1. A method comprising: receiving, by a processing device, a software testing executable script; appending, by the processing device, the software testing executable script to a list of executable scripts; defining, by the processing device, a test environment comprising a management node and a testable component of a distributed network; establishing, over the distributed network, a trusted connection between the management node and the testable component; receiving, at the management node, an identifier of the software testing executable script, an identifier of a target for which the management node is to execute the software testing executable script, and a schedule for executing the software testing executable script, wherein the management node is separate from the target; and executing, by the management node, in view of the schedule, the identified software testing executable script with respect to the target. 6. The method of claim 1 , further comprising running a synchronous command over the trusted connection. | 0.655629 |
8,046,220 | 4 | 5 | 4. A system in accordance with claim 3 , wherein the circuitry configured to receive a search request in voice is defined by a server. | 4. A system in accordance with claim 3 , wherein the circuitry configured to receive a search request in voice is defined by a server. 5. A system in accordance with claim 4 , wherein the first mentioned server is different from the second mentioned server. | 0.5 |
9,875,484 | 1 | 8 | 1. A method comprising: conducting a campaign experiment that reflects implementation of a campaign change in an experiment environment to generate experimental results that reflect a causal measurement of value of a campaign, wherein the campaign change includes a current change to one or more campaign parameters for providing content items over a computer network for presentation by user computing devices; determining, by one or more computing servers, a measure of effectiveness of the campaign change to within a predetermined confidence level, based at least in part on analyzing the experimental results; determining, by the one or more computing servers, an estimate of effectiveness of the campaign change, wherein determining the estimate of effectiveness comprises referencing campaign data related to the campaign change, referencing interaction data that indicates user interactions with one or more of the content items, correlating the campaign data with the interaction data over a predetermined time period, and applying rules of an identified attribution model that assigns credit to user interactions with one or more of the content items that lead to user conversions; comparing, by the one or more computing servers, the determined estimate of effectiveness of the campaign change to the determined measure of effectiveness of the campaign change; determining, based on the comparison, that the identified attribution model provides an estimate of the measure of effectiveness that is within a predetermined range of the measure of effectiveness of the campaign change; for one or more subsequent campaign changes that include a change to the one or more campaign parameters that matches the current change to the one or more campaign parameters, determining a subsequent estimate of effectiveness of the subsequent campaign change, based at least in part on applying the identified attribution model in lieu of conducting another campaign experiment to determine the subsequent estimate of effectiveness of the subsequent campaign change; and using subsequent determined estimates of effectiveness of the subsequent campaign changes obtained from application of the identified attribution model as a proxy for measures of effectiveness in lieu of conducting another campaign experiment to determine the measure of effectiveness. | 1. A method comprising: conducting a campaign experiment that reflects implementation of a campaign change in an experiment environment to generate experimental results that reflect a causal measurement of value of a campaign, wherein the campaign change includes a current change to one or more campaign parameters for providing content items over a computer network for presentation by user computing devices; determining, by one or more computing servers, a measure of effectiveness of the campaign change to within a predetermined confidence level, based at least in part on analyzing the experimental results; determining, by the one or more computing servers, an estimate of effectiveness of the campaign change, wherein determining the estimate of effectiveness comprises referencing campaign data related to the campaign change, referencing interaction data that indicates user interactions with one or more of the content items, correlating the campaign data with the interaction data over a predetermined time period, and applying rules of an identified attribution model that assigns credit to user interactions with one or more of the content items that lead to user conversions; comparing, by the one or more computing servers, the determined estimate of effectiveness of the campaign change to the determined measure of effectiveness of the campaign change; determining, based on the comparison, that the identified attribution model provides an estimate of the measure of effectiveness that is within a predetermined range of the measure of effectiveness of the campaign change; for one or more subsequent campaign changes that include a change to the one or more campaign parameters that matches the current change to the one or more campaign parameters, determining a subsequent estimate of effectiveness of the subsequent campaign change, based at least in part on applying the identified attribution model in lieu of conducting another campaign experiment to determine the subsequent estimate of effectiveness of the subsequent campaign change; and using subsequent determined estimates of effectiveness of the subsequent campaign changes obtained from application of the identified attribution model as a proxy for measures of effectiveness in lieu of conducting another campaign experiment to determine the measure of effectiveness. 8. The method of claim 1 , further comprising using the identified attribution model to determine a bid adjustment for the campaign. | 0.920386 |
9,223,836 | 53 | 61 | 53. A ranking method comprising: executing a document ranking application on a processor to rank documents retrieved from a data source in response to a search request, the document ranking application comprising a term frequency module, a negation module, a ranking module, and a user interface module; querying the data source from the term frequency module to identify a plurality of documents that each comprises a key term, the key term matching a search term in the search request; determining a corresponding term frequency value for the key term in each of the plurality of documents at the term frequency module, the term frequency value comprising a total number of occurrences of the key term in a particular document; retrieving at least one negation term and the at least one negation rule from a memory using the negation module; comparing, at the negation module, the at least one negation term according to the at least one negation rule to other terms in each document that are within a selected proximity of each occurrence of the key term to determine if each occurrence of the key term has a negative context; determining that the at least one negation term matches another term within the selected proximity of the particular occurrence of the key term according to the at least one negation rule and excluding a particular occurrence of the key term in at least one document at the negation module for having the negative context; determining a corresponding term weight value for the key term in each document based on each occurrence of the key term that has not been excluded; determining a corresponding relevancy ranking value at the ranking module for each document based on the corresponding term frequency value and corresponding term weight value; and generating a list of document data for display at the user interface module, the list identifying each document of the plurality of documents in an order based on the corresponding relevancy ranking value of each document. | 53. A ranking method comprising: executing a document ranking application on a processor to rank documents retrieved from a data source in response to a search request, the document ranking application comprising a term frequency module, a negation module, a ranking module, and a user interface module; querying the data source from the term frequency module to identify a plurality of documents that each comprises a key term, the key term matching a search term in the search request; determining a corresponding term frequency value for the key term in each of the plurality of documents at the term frequency module, the term frequency value comprising a total number of occurrences of the key term in a particular document; retrieving at least one negation term and the at least one negation rule from a memory using the negation module; comparing, at the negation module, the at least one negation term according to the at least one negation rule to other terms in each document that are within a selected proximity of each occurrence of the key term to determine if each occurrence of the key term has a negative context; determining that the at least one negation term matches another term within the selected proximity of the particular occurrence of the key term according to the at least one negation rule and excluding a particular occurrence of the key term in at least one document at the negation module for having the negative context; determining a corresponding term weight value for the key term in each document based on each occurrence of the key term that has not been excluded; determining a corresponding relevancy ranking value at the ranking module for each document based on the corresponding term frequency value and corresponding term weight value; and generating a list of document data for display at the user interface module, the list identifying each document of the plurality of documents in an order based on the corresponding relevancy ranking value of each document. 61. The method of claim 53 further comprising generating the list of document data to identify each of the plurality of documents in descending order based on the corresponding relevancy ranking value of each document. | 0.793169 |
10,034,028 | 5 | 9 | 5. A method comprising translating, using an acoustic model engine of a first processing unit, a portion of an audio component of a media stream into at least one sequence of logical word sounds; dividing the at least one sequence of logical word sounds into a plurality of overlapping audio segments, wherein each audio segment overlaps with a temporally adjacent audio segment such that temporally adjacent audio segments share a portion of the sequence of logical word sounds; converting, using a language model engine of a second processing unit, the at least one sequence of logical word sounds into a sequence of textual words; wherein the language model engine is tuned based on a caption stream containing one or more portions of caption information; and producing, using a third processing unit, a time based text by associating the at least one sequence of textual words with a time at which the portion of the audio component arises in the media stream. | 5. A method comprising translating, using an acoustic model engine of a first processing unit, a portion of an audio component of a media stream into at least one sequence of logical word sounds; dividing the at least one sequence of logical word sounds into a plurality of overlapping audio segments, wherein each audio segment overlaps with a temporally adjacent audio segment such that temporally adjacent audio segments share a portion of the sequence of logical word sounds; converting, using a language model engine of a second processing unit, the at least one sequence of logical word sounds into a sequence of textual words; wherein the language model engine is tuned based on a caption stream containing one or more portions of caption information; and producing, using a third processing unit, a time based text by associating the at least one sequence of textual words with a time at which the portion of the audio component arises in the media stream. 9. The method of claim 5 , wherein the language model engine includes a combination of a base language model and an event specific language model. | 0.756667 |
8,041,594 | 1 | 15 | 1. A system for performing calendaring and reminder activities for a computer user, comprising: a computer client system executing at least one calendar application and at least one of: a web browser program; an email program; a word processing program; a link to a server, wherein said computer client system accesses data from said server via a communications network; a calendaring and reminder system accessible to said computer client system; and a calendar entry record stored on said computer client system; wherein said calendaring and reminder system performs: analyzing text displayed on a computer screen of said computer client system; identifying calendar parameters resulting from said analyzing, said calendar parameters comprising at least one of: a date; a time; a location; a meeting type; and a subject; creating a calendar entry record, said calendar entry record including a source of said calendar parameters; pasting said calendar parameters into said calendar entry record; automatically storing said calendar entry record in said calendar application without opening said calendar application; deploying process software for performing said calendaring and reminder activities, said deploying comprising: installing said process software on at least one server; identifying server addresses for users accessing said process software on said at least one server; installing a proxy server when needed; sending said process software to said at least one server and copying said process software to a file system of said at least one server; sending the process software to at least a first computer client; executing said process software on said first computer client; integrating process software for performing said calendaring and reminder activities, said integrating comprising: determining when said process software will execute on at least one server; identifying an address of said at least one server; checking said at least one server for operating systems, applications, and version numbers for validation with said process software, and identifying any missing software applications for said at least one server that are required for integration; updating said at least one server with respect to any operating system and application that is not validated for said process software, and providing any of said missing software applications for said at least one server required for said integration; identifying client addresses and checking computer clients for operating systems, applications, and version numbers for validation with said process software, and identifying any software applications missing from said computer clients that are required for integration; updating said computer clients with respect to any operating system and application that is not validated for said process software, and providing any missing software application for said computer clients required for said integration; installing said process software on said computer clients and said at least one server; on demand sharing of process software for performing said calendaring and reminder activities, said on demand sharing comprising: creating a transaction containing unique customer identification, requested service type, and service parameters; sending said transaction to at least one main server; querying said at least one main server about processing capacity associated with said at least one main server to help ensure availability of adequate resources for processing of said transaction; allocating additional processing capacity when additional capacity appears needed to process said transaction, said additional processing capacity being selected from the group of additional capacities consisting of central processing unit capacity, processor memory capacity, network bandwidth capacity, and storage capacity; recording a plurality of usage measurements selected from the group of usage measurements consisting of network bandwidth, processor memory, storage, and central processing unit cycles; summing said usage measurements; acquiring at least one multiplicative value associated with said usage measurements and with unit costs; recording any such acquired multiplicative value as an on demand charge to a requesting customer; charging said on demand charge to said requesting customer's account when an account exists and when said requesting customer has selected a charge account payment method; deploying, accessing, and executing process software for performing said calendaring and reminder activities, said deploying, accessing, and executing process software implemented through a virtual private network, the method comprising: determining when a virtual private network is required; checking for remote access to said virtual private network when it is required; when said remote access does not exist, identifying a third party provider to provide secure, encrypted connections between a private network and remote users; identifying said remote users; and setting up a network access server operable for downloading and installing client software on desktop computers for remote access of said virtual private network; accessing said process software; transporting said process software to at least one remote user's desktop computer; executing said process software on said at least one remote user's desktop computer; determining when said virtual private network has a site-to-site configuration for providing site-to-site access, and when said virtual private network is not so available, installing equipment required to establish a site-to-site configuration for said virtual private network; installing large scale encryption into said site-to-site virtual private network; accessing said process software through said site-to-site configuration with large scale encryption; and accessing said process software further comprises at least one of: dialing into said network access server, and attaching directly via a modem into said network access server, said modem being selected from the group of modems consisting of telephone dial-up modems, cable modems, DSL modems, and wireless modems. | 1. A system for performing calendaring and reminder activities for a computer user, comprising: a computer client system executing at least one calendar application and at least one of: a web browser program; an email program; a word processing program; a link to a server, wherein said computer client system accesses data from said server via a communications network; a calendaring and reminder system accessible to said computer client system; and a calendar entry record stored on said computer client system; wherein said calendaring and reminder system performs: analyzing text displayed on a computer screen of said computer client system; identifying calendar parameters resulting from said analyzing, said calendar parameters comprising at least one of: a date; a time; a location; a meeting type; and a subject; creating a calendar entry record, said calendar entry record including a source of said calendar parameters; pasting said calendar parameters into said calendar entry record; automatically storing said calendar entry record in said calendar application without opening said calendar application; deploying process software for performing said calendaring and reminder activities, said deploying comprising: installing said process software on at least one server; identifying server addresses for users accessing said process software on said at least one server; installing a proxy server when needed; sending said process software to said at least one server and copying said process software to a file system of said at least one server; sending the process software to at least a first computer client; executing said process software on said first computer client; integrating process software for performing said calendaring and reminder activities, said integrating comprising: determining when said process software will execute on at least one server; identifying an address of said at least one server; checking said at least one server for operating systems, applications, and version numbers for validation with said process software, and identifying any missing software applications for said at least one server that are required for integration; updating said at least one server with respect to any operating system and application that is not validated for said process software, and providing any of said missing software applications for said at least one server required for said integration; identifying client addresses and checking computer clients for operating systems, applications, and version numbers for validation with said process software, and identifying any software applications missing from said computer clients that are required for integration; updating said computer clients with respect to any operating system and application that is not validated for said process software, and providing any missing software application for said computer clients required for said integration; installing said process software on said computer clients and said at least one server; on demand sharing of process software for performing said calendaring and reminder activities, said on demand sharing comprising: creating a transaction containing unique customer identification, requested service type, and service parameters; sending said transaction to at least one main server; querying said at least one main server about processing capacity associated with said at least one main server to help ensure availability of adequate resources for processing of said transaction; allocating additional processing capacity when additional capacity appears needed to process said transaction, said additional processing capacity being selected from the group of additional capacities consisting of central processing unit capacity, processor memory capacity, network bandwidth capacity, and storage capacity; recording a plurality of usage measurements selected from the group of usage measurements consisting of network bandwidth, processor memory, storage, and central processing unit cycles; summing said usage measurements; acquiring at least one multiplicative value associated with said usage measurements and with unit costs; recording any such acquired multiplicative value as an on demand charge to a requesting customer; charging said on demand charge to said requesting customer's account when an account exists and when said requesting customer has selected a charge account payment method; deploying, accessing, and executing process software for performing said calendaring and reminder activities, said deploying, accessing, and executing process software implemented through a virtual private network, the method comprising: determining when a virtual private network is required; checking for remote access to said virtual private network when it is required; when said remote access does not exist, identifying a third party provider to provide secure, encrypted connections between a private network and remote users; identifying said remote users; and setting up a network access server operable for downloading and installing client software on desktop computers for remote access of said virtual private network; accessing said process software; transporting said process software to at least one remote user's desktop computer; executing said process software on said at least one remote user's desktop computer; determining when said virtual private network has a site-to-site configuration for providing site-to-site access, and when said virtual private network is not so available, installing equipment required to establish a site-to-site configuration for said virtual private network; installing large scale encryption into said site-to-site virtual private network; accessing said process software through said site-to-site configuration with large scale encryption; and accessing said process software further comprises at least one of: dialing into said network access server, and attaching directly via a modem into said network access server, said modem being selected from the group of modems consisting of telephone dial-up modems, cable modems, DSL modems, and wireless modems. 15. The system as claimed in claim 1 , wherein said calendaring and reminder system further performs: posting said on demand charge on a web site when requested by said requesting customer; and sending said on demand charge via e-mail to said requesting customer's e-mail address. | 0.868545 |
8,041,805 | 1 | 9 | 1. One or more computer-readable non-transitory storage media embodying software operable when executed to: provide a user-selectable element viewable on each of a plurality of particular web pages of a website upon initial display of a particular web page and soliciting page-specific user feedback concerning the particular web page upon initial display of the particular web page, the user-selectable element appearing identically and behaving consistently on each of the plurality of particular web pages; and receive the page-specific user feedback concerning the particular web page for reporting to an interested party, the page-specific user feedback concerning the particular webpages having been provided by a user while the user remained at the particular web page, and the page-specific user feedback comprising one or more page-specific subjective ratings of the particular web page and one or more associated page-specific open-ended comments concerning the particular web page, the page-specific user feedback allowing the interested party to access page-specific subjective ratings and associated page-specific open-ended comments across the plurality of particular web pages to identify one or more particular web pages for which the page-specific user feedback is notable relative to page-specific user feedback for other particular web pages; wherein the user-selectable element is viewable within a browser window upon initial display of the particular web page and remains viewable within the browser window, at least prior to the user selection, regardless of user scrolling. | 1. One or more computer-readable non-transitory storage media embodying software operable when executed to: provide a user-selectable element viewable on each of a plurality of particular web pages of a website upon initial display of a particular web page and soliciting page-specific user feedback concerning the particular web page upon initial display of the particular web page, the user-selectable element appearing identically and behaving consistently on each of the plurality of particular web pages; and receive the page-specific user feedback concerning the particular web page for reporting to an interested party, the page-specific user feedback concerning the particular webpages having been provided by a user while the user remained at the particular web page, and the page-specific user feedback comprising one or more page-specific subjective ratings of the particular web page and one or more associated page-specific open-ended comments concerning the particular web page, the page-specific user feedback allowing the interested party to access page-specific subjective ratings and associated page-specific open-ended comments across the plurality of particular web pages to identify one or more particular web pages for which the page-specific user feedback is notable relative to page-specific user feedback for other particular web pages; wherein the user-selectable element is viewable within a browser window upon initial display of the particular web page and remains viewable within the browser window, at least prior to the user selection, regardless of user scrolling. 9. The media of claim 1 , residing at one or more of: one or more first computer systems hosting one or more of the plurality of particular web pages; one or more second computer systems associated with the interested party; or one or more third computer systems associated with a user who has accessed one or more of the plurality of particular web pages. | 0.506925 |
7,624,385 | 12 | 13 | 12. The method of claim 1 , wherein the parsing further comprises: generating the annotations in the AST form to represent meta-data tags generated in the original source code by the deconditioning. | 12. The method of claim 1 , wherein the parsing further comprises: generating the annotations in the AST form to represent meta-data tags generated in the original source code by the deconditioning. 13. The method of claim 12 , wherein the performing the AST-based transformation further comprises: processing the annotations to re-produce the meta-data tags in the modified AST form. | 0.5 |
8,081,849 | 11 | 15 | 11. A handheld optical scanner, comprising: an optical imaging component adapted to capture images of text from rendered documents at a first time, convert at least some of the captured images to textual representations at a second time, and compress or delete any converted captured images at a third time; a memory component coupled to the optical imaging component; a universal serial bus port coupled to the memory component; a processor coupled to the memory component; and a battery coupled to the optical imaging component, the memory component, the universal serial bus port, and the processor; wherein the memory component is adapted to receive data from the universal serial bus port, to store data received via the universal serial bus port, and to transmit data via the universal serial bus port to another device, and wherein the memory component is further adapted to receive data derived from images captured by the optical imaging component and store the data derived from images captured the optical imaging component. | 11. A handheld optical scanner, comprising: an optical imaging component adapted to capture images of text from rendered documents at a first time, convert at least some of the captured images to textual representations at a second time, and compress or delete any converted captured images at a third time; a memory component coupled to the optical imaging component; a universal serial bus port coupled to the memory component; a processor coupled to the memory component; and a battery coupled to the optical imaging component, the memory component, the universal serial bus port, and the processor; wherein the memory component is adapted to receive data from the universal serial bus port, to store data received via the universal serial bus port, and to transmit data via the universal serial bus port to another device, and wherein the memory component is further adapted to receive data derived from images captured by the optical imaging component and store the data derived from images captured the optical imaging component. 15. The handheld optical scanner of claim 11 , further comprising: a camera. | 0.796791 |
8,620,872 | 12 | 18 | 12. A computer-implemented method for generating content-matching feedback on author-generated documents, the method comprising: providing functionality for authors to submit documents for content matching feedback to avoid accidental plagiarism; receiving a document from an author over a communications medium; receiving a request from the author for content-matching feedback about the document; generating content-matching feedback responsive to the request, the generating of content-matching feedback comprising performing a content matching analysis of at least a portion of the document with at least a portion of one or more second documents to thereby assist the author in avoiding accidental plagiarism; generating a certificate certifying that the document was checked for plagiarism, thereby enabling the author to indicate to a reviewing entity that the document was checked for plagiarism; detecting publication associations among a plurality of publications based at least in part on a number of times the publications citations were cited together; generating one or more research recommendations based at least in part on citations in the document and on the publication associations, the one or more research recommendations comprising a citation to at least one of the publications; and outputting the content-matching feedback and the one or more research recommendations for display to the author; wherein at least said generating content-matching feedback is performed by a computer system comprising computer hardware. | 12. A computer-implemented method for generating content-matching feedback on author-generated documents, the method comprising: providing functionality for authors to submit documents for content matching feedback to avoid accidental plagiarism; receiving a document from an author over a communications medium; receiving a request from the author for content-matching feedback about the document; generating content-matching feedback responsive to the request, the generating of content-matching feedback comprising performing a content matching analysis of at least a portion of the document with at least a portion of one or more second documents to thereby assist the author in avoiding accidental plagiarism; generating a certificate certifying that the document was checked for plagiarism, thereby enabling the author to indicate to a reviewing entity that the document was checked for plagiarism; detecting publication associations among a plurality of publications based at least in part on a number of times the publications citations were cited together; generating one or more research recommendations based at least in part on citations in the document and on the publication associations, the one or more research recommendations comprising a citation to at least one of the publications; and outputting the content-matching feedback and the one or more research recommendations for display to the author; wherein at least said generating content-matching feedback is performed by a computer system comprising computer hardware. 18. The method of claim 12 , wherein said generating a certificate certifying that the document was checked for plagiarism comprises generating a signature from a hash of at least a portion of the document. | 0.502415 |
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