patent_num
int64 3.93M
10.2M
| claim_num1
int64 1
519
| claim_num2
int64 2
520
| sentence1
stringlengths 40
15.9k
| sentence2
stringlengths 88
20k
| label
float64 0.5
0.99
|
|---|---|---|---|---|---|
7,963,978 | 12 | 15 |
12. A method of implanting a dynamic stabilization spine implant in conjunction with a spine fusion implant into a spine comprising the steps of: implant a spine fusion implant into a spine in order to fuse together a first and a second vertebra; securing a first bone anchor in a third vertebra of a spine; securing a second bone anchor in the third vertebra of a spine; securing a first rod between the first bone anchor and the second bone anchor; securing a deflection rod system to said first rod and said deflection rod system including a connector rod movably mounted thereto; and associating said connector rod with one of the first and second vertebra of a spine.
|
12. A method of implanting a dynamic stabilization spine implant in conjunction with a spine fusion implant into a spine comprising the steps of: implant a spine fusion implant into a spine in order to fuse together a first and a second vertebra; securing a first bone anchor in a third vertebra of a spine; securing a second bone anchor in the third vertebra of a spine; securing a first rod between the first bone anchor and the second bone anchor; securing a deflection rod system to said first rod and said deflection rod system including a connector rod movably mounted thereto; and associating said connector rod with one of the first and second vertebra of a spine. 15. The method of claim 12 wherein the steps are made in any order.
| 0.897239 |
8,219,385 | 1 | 3 |
1. A computer-implemented method of conducting a search of electronically stored information, comprising: (a) providing a user with an interactive targeting rule editor to enable the user to formulate a targeting rule to identify desired search results, the targeting rule comprising a natural language text string, the interactive targeting rule editor allowing the user to change one or more designated editable portions of the natural language text string to one of a set of specified alternate portions to form a syntactically valid targeting rule in accordance with a targeting rule grammar, wherein at least one of the specified alternate portions includes one or more further designated editable portions that are changeable by the user to one of a further set of specified alternate portions to form the syntactically valid targeting rule; (b) receiving the text string or a representation thereof from the user; (c) translating the text string or a representation thereof into an executable query; and (d) executing the executable query against the electronically stored information to generate search results.
|
1. A computer-implemented method of conducting a search of electronically stored information, comprising: (a) providing a user with an interactive targeting rule editor to enable the user to formulate a targeting rule to identify desired search results, the targeting rule comprising a natural language text string, the interactive targeting rule editor allowing the user to change one or more designated editable portions of the natural language text string to one of a set of specified alternate portions to form a syntactically valid targeting rule in accordance with a targeting rule grammar, wherein at least one of the specified alternate portions includes one or more further designated editable portions that are changeable by the user to one of a further set of specified alternate portions to form the syntactically valid targeting rule; (b) receiving the text string or a representation thereof from the user; (c) translating the text string or a representation thereof into an executable query; and (d) executing the executable query against the electronically stored information to generate search results. 3. The method of claim 1 wherein the interactive targeting rule editor only permits the formation of syntactically-valid targeting rules in accordance with a targeting rule grammar upon each change, delete, or add step by the user.
| 0.668103 |
7,716,654 | 18 | 19 |
18. A multi top-level graphical-container apparatus as recited in claim 13 , wherein multi top-level graphical-container apparatus is further capable of: determining whether a native top-level container has been generated; generating an instance of an internal frame object that represents a native top-level container when said determining determines that said native top-level container has already been generated.
|
18. A multi top-level graphical-container apparatus as recited in claim 13 , wherein multi top-level graphical-container apparatus is further capable of: determining whether a native top-level container has been generated; generating an instance of an internal frame object that represents a native top-level container when said determining determines that said native top-level container has already been generated. 19. A multi top-level graphical-container apparatus as recited in claim 18 , wherein multi top-level graphical-container apparatus is further capable of: generate an instance of a JInternalFrame object: generating an instance of a JFrame object that can delegate to said JInternalFrame object; and returning said instance of said JFrame to said application program.
| 0.5 |
7,870,502 | 4 | 6 |
4. The method of claim 1 , wherein the identifying of style information comprises identifying at least one node associated with the source content that is not directly demarcated by the identified portion, and extracting style information associated with said at least one node.
|
4. The method of claim 1 , wherein the identifying of style information comprises identifying at least one node associated with the source content that is not directly demarcated by the identified portion, and extracting style information associated with said at least one node. 6. The method of claim 4 , wherein said at least one node corresponds to a node that does not have a parent-type or ancestor-type relationship with respect to the identified portion.
| 0.5 |
9,916,364 | 9 | 14 |
9. A computing device, comprising: a processor; a storage medium for tangibly storing thereon program logic for executing by the processor, the program logic comprising: receiving logic, executed by the processor, for receiving a request for news items from a user; identifying logic, executed by the processor, for identifying a geographic location of the requesting user, the identifying of the geographic location comprising identifying the geographic location from a Designated Market Area (DMA); matching logic, executed by the processor, for matching the geographic location of the requesting user with geographic locations associated with news sources; identifying logic, executed by the processor, for identifying a geographic location of local news sources that is from the same DMA as the geographic location of the requesting user, the identifying comprising obtaining preferred news sources of other users that are located within a similar geographic location as the requested user and eliminating used sources that are popular across multiple other geographic areas; obtaining logic, executed by the processor, for obtaining relevant news items from the identified local news sources; and transmitting logic, executed by the processor, for transmitting the relevant news items for presentation to the requesting user.
|
9. A computing device, comprising: a processor; a storage medium for tangibly storing thereon program logic for executing by the processor, the program logic comprising: receiving logic, executed by the processor, for receiving a request for news items from a user; identifying logic, executed by the processor, for identifying a geographic location of the requesting user, the identifying of the geographic location comprising identifying the geographic location from a Designated Market Area (DMA); matching logic, executed by the processor, for matching the geographic location of the requesting user with geographic locations associated with news sources; identifying logic, executed by the processor, for identifying a geographic location of local news sources that is from the same DMA as the geographic location of the requesting user, the identifying comprising obtaining preferred news sources of other users that are located within a similar geographic location as the requested user and eliminating used sources that are popular across multiple other geographic areas; obtaining logic, executed by the processor, for obtaining relevant news items from the identified local news sources; and transmitting logic, executed by the processor, for transmitting the relevant news items for presentation to the requesting user. 14. The device of claim 9 , further comprising border determining logic, executed by the processor, for determining that the user is at a border of two DMAs.
| 0.582447 |
9,577,896 | 24 | 25 |
24. A computer readable storage device including computer readable instructions which, when executed, cause a processor to perform operations comprising: determining a location associated with a query from a first device, the query requesting context information; obtaining a plurality of context profiles for the location; selecting a first context profile from the plurality of context profiles; obtaining the context information from the first context profile, the context information identifying a computing resource associated with the location; and sending the context information in response to the query, the context information to enable configuration of interaction between the first device and the computing resource associated with the location.
|
24. A computer readable storage device including computer readable instructions which, when executed, cause a processor to perform operations comprising: determining a location associated with a query from a first device, the query requesting context information; obtaining a plurality of context profiles for the location; selecting a first context profile from the plurality of context profiles; obtaining the context information from the first context profile, the context information identifying a computing resource associated with the location; and sending the context information in response to the query, the context information to enable configuration of interaction between the first device and the computing resource associated with the location. 25. The computer readable storage device of claim 24 , wherein the first context profile is active at a first time, and the operations further include selecting the first context profile when a time of day corresponds to the first time.
| 0.692708 |
8,359,550 | 19 | 21 |
19. A non-volatile computer readable storage medium having program instructions stored thereon that, if executed by a processor, cause an information system to: detect a user-selection of one of a plurality of folders, said folders including source files related to a corresponding topic in a table-of-contents; identify one or more source files in the selected folder for inclusion in the table-of-contents; identify meta-tags associated with the identified source files; selectively merge, based on the identified meta-tags, data associated with the identified meta-tags into a table-of-contents template; generate a table-of-contents record containing the merged data associated with the identified meta-tags; and cause the display of, in accordance the table-of-contents record, a table-of-contents for the topic corresponding to the selected folder.
|
19. A non-volatile computer readable storage medium having program instructions stored thereon that, if executed by a processor, cause an information system to: detect a user-selection of one of a plurality of folders, said folders including source files related to a corresponding topic in a table-of-contents; identify one or more source files in the selected folder for inclusion in the table-of-contents; identify meta-tags associated with the identified source files; selectively merge, based on the identified meta-tags, data associated with the identified meta-tags into a table-of-contents template; generate a table-of-contents record containing the merged data associated with the identified meta-tags; and cause the display of, in accordance the table-of-contents record, a table-of-contents for the topic corresponding to the selected folder. 21. The computer-readable storage medium of claim 19 , wherein identifying one or more source files includes, identifying source files in the selected folder specified for inclusion on the table-of-contents.
| 0.734615 |
8,566,363 | 14 | 16 |
14. A system for generating an expanded ontology from an ontology, the system comprising: a processor; and a computer-readable medium having stored thereon: a lexical database that stores a plurality of elements in one or more sense sets, each element including a term sense; and a disambiguation component executable by the processor to expand the ontology using the one or more sense sets in the lexical database to generate the expanded ontology, wherein the disambiguation component determines a context for each term sense in the ontology and determines a relatedness score between each term sense in the ontology and each of the elements in the one or more sense sets, wherein the disambiguation module generates the expanded ontology by adding elements in the one or more sense sets having relatedness scores that exceed a threshold relatedness score to the ontology.
|
14. A system for generating an expanded ontology from an ontology, the system comprising: a processor; and a computer-readable medium having stored thereon: a lexical database that stores a plurality of elements in one or more sense sets, each element including a term sense; and a disambiguation component executable by the processor to expand the ontology using the one or more sense sets in the lexical database to generate the expanded ontology, wherein the disambiguation component determines a context for each term sense in the ontology and determines a relatedness score between each term sense in the ontology and each of the elements in the one or more sense sets, wherein the disambiguation module generates the expanded ontology by adding elements in the one or more sense sets having relatedness scores that exceed a threshold relatedness score to the ontology. 16. The system of claim 14 wherein the disambiguation component is executable by the processor to determine the relatedness score using the context for each term sense in the ontology, wherein the context for each term sense is provided by other term senses in the ontology.
| 0.59587 |
7,849,186 | 15 | 18 |
15. A method of detecting unwanted conversational media sessions, said method comprising: obtaining data in respect of packet arrival times associated with a real-time conversational media session; evaluating similarity between data in respect of the packet arrival times associated with the real-time conversational media session and packet arrival times corresponding to a reference data item taken from a previous conversational media session and outputting an evaluation result; and determining based on the evaluation result whether the real-time conversational media session is wanted or unwanted.
|
15. A method of detecting unwanted conversational media sessions, said method comprising: obtaining data in respect of packet arrival times associated with a real-time conversational media session; evaluating similarity between data in respect of the packet arrival times associated with the real-time conversational media session and packet arrival times corresponding to a reference data item taken from a previous conversational media session and outputting an evaluation result; and determining based on the evaluation result whether the real-time conversational media session is wanted or unwanted. 18. The method according to claim 15 , wherein the data in respect of packet arrival times is obtained directly in respect from a bit-stream corresponding to the real-time conversational media session.
| 0.855187 |
8,868,539 | 12 | 18 |
12. One or more non-transitory computer-readable media storing instructions that, when executed by one or more computing devices, cause performance of: generating one or more query logs that record information about previously received search queries, including, for the previously received search queries, indications of in which specific contexts, of a plurality of search contexts, the previously received search queries have been made over at least a period of time; receiving a search query; determining at least one suggested query, of the previously received search queries, based on the search query; determining, for each specific search context of a plurality of search contexts: a log-based relevance score of the search query to the specific search context, the log-based relevance score being calculated, at least in part, using a count of how many times the search query was made in the specific search context over the period of time, and further using a count of how many times the suggested query was made in the specific search context over the period of time, as recorded in the one or more query logs; wherein each search context of the plurality of search contexts is a different set of searchable information; responsive to receiving the search query, sending an indication, for each specific search context of the plurality of search contexts, of a relative size of the log-based relevance score determined for the specific search context compared to relative sizes of each other log-based relevance score determined for each other search context of the plurality of search contexts.
|
12. One or more non-transitory computer-readable media storing instructions that, when executed by one or more computing devices, cause performance of: generating one or more query logs that record information about previously received search queries, including, for the previously received search queries, indications of in which specific contexts, of a plurality of search contexts, the previously received search queries have been made over at least a period of time; receiving a search query; determining at least one suggested query, of the previously received search queries, based on the search query; determining, for each specific search context of a plurality of search contexts: a log-based relevance score of the search query to the specific search context, the log-based relevance score being calculated, at least in part, using a count of how many times the search query was made in the specific search context over the period of time, and further using a count of how many times the suggested query was made in the specific search context over the period of time, as recorded in the one or more query logs; wherein each search context of the plurality of search contexts is a different set of searchable information; responsive to receiving the search query, sending an indication, for each specific search context of the plurality of search contexts, of a relative size of the log-based relevance score determined for the specific search context compared to relative sizes of each other log-based relevance score determined for each other search context of the plurality of search contexts. 18. The one or more non-transitory computer-readable media of claim 12 , wherein providing the indication comprises providing a graphical representation the log-based relevance scores; wherein the graphical representation comprises a plurality of bars, each bar being representative of a different score of the log-based relevance scores, the size of each bar being based on upon the different score.
| 0.783784 |
8,495,210 | 26 | 28 |
26. A computer program product for characterizing an audience of subscribers to a digital content feed service, the computer program product comprising a computer-readable, non-volatile storage medium containing computer program code including code arranged for: characterizing a subscriber audience comprising one or more subscribers to the content feed to generate one or more subscriber profiles; selecting a plurality of articles to publish to the subscriber audience based on the one or more subscriber profiles; publishing the plurality of articles to the subscriber audience via the content feed; analyzing each of the published articles to generate article information; storing the generated article information for each published article in a data store in association with an identifier of a corresponding author; acquiring from remote user reader programs individual subscriber attention data based on action or inaction, or combinations thereof associated with each of the published articles, wherein the action or inaction includes associating a status identifier with at least one of the published articles indicating that the published article is unread; analyzing the acquired attention data to form an indication of each subscriber's response to each of the published articles; and building a subscriber profile based on the stored article information and the corresponding indication of the subscriber's responses to the published articles.
|
26. A computer program product for characterizing an audience of subscribers to a digital content feed service, the computer program product comprising a computer-readable, non-volatile storage medium containing computer program code including code arranged for: characterizing a subscriber audience comprising one or more subscribers to the content feed to generate one or more subscriber profiles; selecting a plurality of articles to publish to the subscriber audience based on the one or more subscriber profiles; publishing the plurality of articles to the subscriber audience via the content feed; analyzing each of the published articles to generate article information; storing the generated article information for each published article in a data store in association with an identifier of a corresponding author; acquiring from remote user reader programs individual subscriber attention data based on action or inaction, or combinations thereof associated with each of the published articles, wherein the action or inaction includes associating a status identifier with at least one of the published articles indicating that the published article is unread; analyzing the acquired attention data to form an indication of each subscriber's response to each of the published articles; and building a subscriber profile based on the stored article information and the corresponding indication of the subscriber's responses to the published articles. 28. A computer program product according to claim 26 wherein the digital content feed service comprises an RSS feed.
| 0.843666 |
8,121,967 | 12 | 13 |
12. The apparatus of claim 9 , wherein the composite features are selected so as to differentiate training data.
|
12. The apparatus of claim 9 , wherein the composite features are selected so as to differentiate training data. 13. The apparatus of claim 12 , wherein the composite features are selected such that feature discrimination and class labels are considered.
| 0.5 |
7,543,270 | 6 | 7 |
6. The method of claim 1 further comprising providing a first scrolling tool for scrolling the input description; and providing a second scrolling tool for scrolling the output description.
|
6. The method of claim 1 further comprising providing a first scrolling tool for scrolling the input description; and providing a second scrolling tool for scrolling the output description. 7. The method of claim 6 wherein the first and second scrolling tools include scrolling bars.
| 0.809426 |
8,301,437 | 10 | 12 |
10. A method for tokenizing a character string, comprising: populating a dictionary with words and phrases included in a set of search queries submitted by users of one or more information retrieval systems over a first predetermined time period; identifying one or more series of characters within the character string that match a word or phrase populated within the dictionary, wherein the character string comprises a non-delimited character string, and designating the identified one or more series of characters within the character string that match a word or phrase populated within the dictionary as a token associated with the character string.
|
10. A method for tokenizing a character string, comprising: populating a dictionary with words and phrases included in a set of search queries submitted by users of one or more information retrieval systems over a first predetermined time period; identifying one or more series of characters within the character string that match a word or phrase populated within the dictionary, wherein the character string comprises a non-delimited character string, and designating the identified one or more series of characters within the character string that match a word or phrase populated within the dictionary as a token associated with the character string. 12. The method of claim 10 , wherein the one or more information retrieval systems include one or more of: an information retrieval system configured to retrieve Web pages; an information retrieval system configured to retrieve images; and an information retrieval system configured to retrieve news content.
| 0.509554 |
4,615,002 | 8 | 16 |
8. A method of providing a distributed, interactive data processing system with concurrent multi-lingual use by a plurality of users having different national language preferences comprising the steps of: establising a message model data collection by storing message models via a message identifier primary key that is common for all usage and a secondary key that is the national language index; setting said secondary key for a user when that user is enrolled in the data processing system or when that user signs onto the system; using a central message service, composing messages from message models retrieved from said message model data collection using said primary and secondary keys in response to a call from an application control program, said call comprising the steps of storing a message model identification in a variable and calling a message request service in said application control program using control statements, wherein the step of composing comprises the steps of using said message request service in said application control program, deciding how the message is to be passed to the user based on said message model identification, if said message model identification is one that means an indicator light should be turned on rather than passing textual information to the user, turning on said indicator light and returning control to the next statement below said control statement, if on the other hand text must be passed to the user, then using a control statement in said message request service of said application control program, passing control to a message composition service in a supervisor program, using said message composition service, obtaining the correct message model from said message model data collection based on the message model identification and said secondary key, storing the resulting text as the value of a variable, and returning control to said message request service in said application control program; and using said message request service in said application control program, sending the message to the user and returning control to the control statement following said control statements.
|
8. A method of providing a distributed, interactive data processing system with concurrent multi-lingual use by a plurality of users having different national language preferences comprising the steps of: establising a message model data collection by storing message models via a message identifier primary key that is common for all usage and a secondary key that is the national language index; setting said secondary key for a user when that user is enrolled in the data processing system or when that user signs onto the system; using a central message service, composing messages from message models retrieved from said message model data collection using said primary and secondary keys in response to a call from an application control program, said call comprising the steps of storing a message model identification in a variable and calling a message request service in said application control program using control statements, wherein the step of composing comprises the steps of using said message request service in said application control program, deciding how the message is to be passed to the user based on said message model identification, if said message model identification is one that means an indicator light should be turned on rather than passing textual information to the user, turning on said indicator light and returning control to the next statement below said control statement, if on the other hand text must be passed to the user, then using a control statement in said message request service of said application control program, passing control to a message composition service in a supervisor program, using said message composition service, obtaining the correct message model from said message model data collection based on the message model identification and said secondary key, storing the resulting text as the value of a variable, and returning control to said message request service in said application control program; and using said message request service in said application control program, sending the message to the user and returning control to the control statement following said control statements. 16. The method according to claim 8 wherein the step of establishing is performed by storing message models via user classification as a tertiary key as well as said primary and secondary keys.
| 0.64652 |
7,822,729 | 1 | 5 |
1. A method for swapping multiple alias names for multiple objects in a database management system via execution of a single command, the method comprising: compiling a Structured Query Language (SQL) swap alias command to create a compiled SQL swap alias command, wherein the single SQL swap alias command is a single SQL statement that comprises a list of multiple different objects whose aliases are to be swapped and which, when compiled and executed, causes a global alias swap of at least one alias name swap for different objects among the multiple different objects in the database management system, wherein the global alias swap of the at least one alias name swap for the multiple different objects is triggered by execution of the compiled SQL swap alias command; and issuing the compiled SQL swap alias command to an SQL interface for the database management system, wherein the compiled SQL swap alias command performs the steps of: in response to determining that an issuer of the swap alias command is authorized to issue the SQL swap alias command, determining if a particular alias name, for one of the multiple objects, is locked to prevent changing the particular alias name; in response to determining that the particular alias name is locked, determining if the issuer of the swap alias command has an authority to force the alias name swap of the particular alias name; in response to determining that the issuer has the authority to force the alias name swap of the particular alias name, swapping multiple alias names including the particular alias name and all non-locked alias names for the multiple objects in the database management system, wherein said swapping is performed as a global alias swap via execution of the compiled SQL swap alias command generated from the single SQL swap alias command; when the issuer does not have the authority to force the alias name swap of the particular alias name: issuing an error message if the SQL swap alias command fails because the issuer is not authorized to force the alias name swap of the particular object; and swapping only the alias names of each of multiple other objects whose alias names are non-locked or for which the issuer has authority to force the alias name swap, wherein said swapping is performed as a global alias swap via execution of the compiled SQL swap alias command generated from the single SQL swap alias command.
|
1. A method for swapping multiple alias names for multiple objects in a database management system via execution of a single command, the method comprising: compiling a Structured Query Language (SQL) swap alias command to create a compiled SQL swap alias command, wherein the single SQL swap alias command is a single SQL statement that comprises a list of multiple different objects whose aliases are to be swapped and which, when compiled and executed, causes a global alias swap of at least one alias name swap for different objects among the multiple different objects in the database management system, wherein the global alias swap of the at least one alias name swap for the multiple different objects is triggered by execution of the compiled SQL swap alias command; and issuing the compiled SQL swap alias command to an SQL interface for the database management system, wherein the compiled SQL swap alias command performs the steps of: in response to determining that an issuer of the swap alias command is authorized to issue the SQL swap alias command, determining if a particular alias name, for one of the multiple objects, is locked to prevent changing the particular alias name; in response to determining that the particular alias name is locked, determining if the issuer of the swap alias command has an authority to force the alias name swap of the particular alias name; in response to determining that the issuer has the authority to force the alias name swap of the particular alias name, swapping multiple alias names including the particular alias name and all non-locked alias names for the multiple objects in the database management system, wherein said swapping is performed as a global alias swap via execution of the compiled SQL swap alias command generated from the single SQL swap alias command; when the issuer does not have the authority to force the alias name swap of the particular alias name: issuing an error message if the SQL swap alias command fails because the issuer is not authorized to force the alias name swap of the particular object; and swapping only the alias names of each of multiple other objects whose alias names are non-locked or for which the issuer has authority to force the alias name swap, wherein said swapping is performed as a global alias swap via execution of the compiled SQL swap alias command generated from the single SQL swap alias command. 5. The method of claim 1 , wherein the SQL swap alias command has a syntax of “SWAP ALIASGROUPS [alias_n becomes object.sub.-n] [multiple iterations] [force]”, wherein “alias_n” defines an alias name that is redirected to point to “object_n”, “multiple iterations” defines that the swap alias command is to be applied to multiple objects in the database management system, wherein one or more [alias_x becomes object_x] can be defined, and “force” defines whether the command is to force the alias name swap.
| 0.5 |
8,145,579 | 11 | 13 |
11. A computer program product for estimating a labor cost to reconcile semantic conflicts between data schema terms used in different data sources, the computer program product comprising: a computer readable storage media; first program instructions to estimate a labor cost for mapping, to shared ontology terms, respective pairs of the data schema terms having semantic conflicts with each other, the first program instructions estimating the labor cost based on at least five of the following: (a) a number of the data sources that contain the data schema terms having the semantic conflicts, (b) an approximate number of the data schema terms in each of the data sources, (c) an approximate labor cost for implementing the shared ontology terms for each of the data sources, (d) an approximate labor cost to manually map to the shared ontology terms a percent of the data schema terms in each of the data sources, (e) an approximate labor cost to validate a percent of the mappings from the data schema terms to the shared ontology terms, (f) an approximate labor cost to perform functional computation for a percent of the mappings from the data schema terms to the shared ontology terms, and (g) an approximate labor cost to perform structural heterogeneity semantic mapping between a percent of the data schema terms and the shared ontology terms; and second program instructions to initiate display on a monitor the estimated labor cost for the mapping, to the shared ontology terms, the data schema terms having semantic conflicts with each other; and wherein the first and second program instructions are stored on the computer readable storage media.
|
11. A computer program product for estimating a labor cost to reconcile semantic conflicts between data schema terms used in different data sources, the computer program product comprising: a computer readable storage media; first program instructions to estimate a labor cost for mapping, to shared ontology terms, respective pairs of the data schema terms having semantic conflicts with each other, the first program instructions estimating the labor cost based on at least five of the following: (a) a number of the data sources that contain the data schema terms having the semantic conflicts, (b) an approximate number of the data schema terms in each of the data sources, (c) an approximate labor cost for implementing the shared ontology terms for each of the data sources, (d) an approximate labor cost to manually map to the shared ontology terms a percent of the data schema terms in each of the data sources, (e) an approximate labor cost to validate a percent of the mappings from the data schema terms to the shared ontology terms, (f) an approximate labor cost to perform functional computation for a percent of the mappings from the data schema terms to the shared ontology terms, and (g) an approximate labor cost to perform structural heterogeneity semantic mapping between a percent of the data schema terms and the shared ontology terms; and second program instructions to initiate display on a monitor the estimated labor cost for the mapping, to the shared ontology terms, the data schema terms having semantic conflicts with each other; and wherein the first and second program instructions are stored on the computer readable storage media. 13. The computer program product of claim 11 wherein the first program instructions estimate the labor cost for the mapping, to the shared ontology terms, the data schema terms having semantic conflicts with each other, based on all of the following: (a) the number of the data sources that contain the data schema terms having the semantic conflicts, (b) the approximate number of the data schema terms in each of the data sources, (c) the approximate labor cost for implementing the shared ontology terms for each of the data sources, (d) the approximate labor cost to manually map to the shared ontology terms a percent of the data schema terms in each of the data sources, (e) the approximate labor cost to validate a percent of the mappings from the data schema terms to the shared ontology terms, (f) the approximate labor cost to perform functional computation for a percent of the mappings from the data schema terms to the shared ontology terms, and (g) the approximate labor cost to perform structural heterogeneity semantic mapping between a percent of the data schema terms and the shared ontology terms.
| 0.504 |
9,053,097 | 1 | 27 |
1. A computer-implemented method for facilitating cross-language communication among users of respective wireless communication devices, the method comprising: receiving, at a first of the wireless communication devices, a first user input indicating willingness to participate in a cross-language communication session with a second of the wireless communication devices; receiving, at the second wireless communication device, a second user input indicating willingness to participate in the cross-language communication session with the first wireless communication device; receiving, at the first wireless communication device, a first signal from a first sensor of the first wireless communication device, other than an antenna; receiving, at the second wireless communication device, a second signal from a second sensor of the second wireless communication device, other than an antenna; automatically comparing the first signal to the second signal to determine whether the first signal and the second signal satisfy a similarity criterion; if the first and second signals satisfy the similarity criterion, automatically establishing the cross-language communication session; and if the cross-language communication session is established: after receiving the first and second user inputs, receiving a first user message entered on the first wireless communication device in a first natural language; automatically generating a translated first user message, including translating the first user message into a second natural language, different than the first natural language; and outputting the translated first user message on the second wireless communication device.
|
1. A computer-implemented method for facilitating cross-language communication among users of respective wireless communication devices, the method comprising: receiving, at a first of the wireless communication devices, a first user input indicating willingness to participate in a cross-language communication session with a second of the wireless communication devices; receiving, at the second wireless communication device, a second user input indicating willingness to participate in the cross-language communication session with the first wireless communication device; receiving, at the first wireless communication device, a first signal from a first sensor of the first wireless communication device, other than an antenna; receiving, at the second wireless communication device, a second signal from a second sensor of the second wireless communication device, other than an antenna; automatically comparing the first signal to the second signal to determine whether the first signal and the second signal satisfy a similarity criterion; if the first and second signals satisfy the similarity criterion, automatically establishing the cross-language communication session; and if the cross-language communication session is established: after receiving the first and second user inputs, receiving a first user message entered on the first wireless communication device in a first natural language; automatically generating a translated first user message, including translating the first user message into a second natural language, different than the first natural language; and outputting the translated first user message on the second wireless communication device. 27. A method according to claim 1 , wherein comparing the first signal to the second signal and automatically establishing the cross-language communication session are performed without revealing to either of the users private information about the other user and without revealing private information to either of the users about the other user's wireless communication device.
| 0.793893 |
9,110,901 | 10 | 11 |
10. The method of claim 1 , wherein the plurality of files are each identified by a plurality of subject-matter searches, wherein each search identifies one of the plurality of files and the first file.
|
10. The method of claim 1 , wherein the plurality of files are each identified by a plurality of subject-matter searches, wherein each search identifies one of the plurality of files and the first file. 11. The method of claim 10 , wherein at least one of the plurality of subject-matter searches is refined by the at least one response.
| 0.65285 |
8,032,418 | 24 | 25 |
24. The computer-readable medium having computer-readable instructions according to claim 21 , such that when executing the instructions, a computer will also perform the step of generating displayable graphical image data in the form of a logo.
|
24. The computer-readable medium having computer-readable instructions according to claim 21 , such that when executing the instructions, a computer will also perform the step of generating displayable graphical image data in the form of a logo. 25. The computer-readable medium having computer-readable instructions according to claim 24 , such that when executing the instructions, a computer will also perform the step of storing the logo in a plurality of different formats.
| 0.5 |
8,572,682 | 8 | 14 |
8. A computer system that manages access control policies using two high-level programming language environments, comprising: a structured language environment module that is configured to manage a structured language environment; a dynamic language environment module that is configured to manage a dynamic language environment within the structured language environment; a portal module that is configured to receive a policy, wherein the policy is written in a dynamic language; a storage module that is configured to store the policy in the dynamic language environment; a conversion module that is configured to convert the policy from the dynamic language environment to the structured language environment; and a runtime module that is configured to generate a runtime in the structured language environment that includes the policy.
|
8. A computer system that manages access control policies using two high-level programming language environments, comprising: a structured language environment module that is configured to manage a structured language environment; a dynamic language environment module that is configured to manage a dynamic language environment within the structured language environment; a portal module that is configured to receive a policy, wherein the policy is written in a dynamic language; a storage module that is configured to store the policy in the dynamic language environment; a conversion module that is configured to convert the policy from the dynamic language environment to the structured language environment; and a runtime module that is configured to generate a runtime in the structured language environment that includes the policy. 14. The computer system of claim 8 , further comprising: a receiver module that is configured to receive user-role assignment information, wherein the user-role assignment information is written in the dynamic language, wherein the conversion module is further configured to convert the user-role assignment information from the dynamic language environment to the structured language environment, and wherein the storage module is further configured to store the user-role assignment information as a data object in the structured language environment.
| 0.5 |
7,831,429 | 10 | 14 |
10. A method for facilitating speech recognition associated with a graphical user interface (GUI), comprising the steps of transmitting at least one graphical user interface (GUI) display file from a remote host computer to a mobile terminal, wherein the GUI files have attached thereto a dictionary file having phonemes and syntax file having allowable patterns of words being content specific to the graphical display file and associated with a particular context state; receiving input speech commands at the mobile terminal wherein the commands are associated with at least one GUI associated with the received GUI files; determining a current context state of interactive communications with the user; and utilizing a speech recognition system to assign a correct meaning to received speech command by assigning one meaning to received input speech command by utilizing the dictionary file and syntax file when the current context state is determined to be a first context state, and assigning a different meaning to the same received input speech command by utilizing the dictionary file and syntax file when the current context state is determined to be a second context state.
|
10. A method for facilitating speech recognition associated with a graphical user interface (GUI), comprising the steps of transmitting at least one graphical user interface (GUI) display file from a remote host computer to a mobile terminal, wherein the GUI files have attached thereto a dictionary file having phonemes and syntax file having allowable patterns of words being content specific to the graphical display file and associated with a particular context state; receiving input speech commands at the mobile terminal wherein the commands are associated with at least one GUI associated with the received GUI files; determining a current context state of interactive communications with the user; and utilizing a speech recognition system to assign a correct meaning to received speech command by assigning one meaning to received input speech command by utilizing the dictionary file and syntax file when the current context state is determined to be a first context state, and assigning a different meaning to the same received input speech command by utilizing the dictionary file and syntax file when the current context state is determined to be a second context state. 14. The method of claim 10 , associating the at least one of a dictionary or syntax file with the displayed GUI further comprises limiting at least one of the dictionary or syntax files to a permutation of commands and data which could validly be input in connection with the displayed GUI.
| 0.5 |
9,336,487 | 17 | 18 |
17. A computer-program product, tangibly embodied in a non-transitory machine-readable medium, including instructions configured to cause a data processing apparatus to: receive a plurality of requests for a web page from a plurality of sources, wherein the web page includes a configuration defining one or more objects presented with the web page, wherein each object is associated with a predictive model including one or more predictive factors, wherein the one or more predictive factors are determined using the plurality of received requests, wherein the one or more predictive factors are used to calculate a predictive value, and wherein a predictive value corresponds to a likelihood that an object will be selected by any one of the plurality of sources when presented in the configuration of the web page; retrieve predictive information related to the plurality of requests; determine one or more predictive factors for an object presented with the web page, wherein the one or more predictive factors are determined using the retrieved predictive information; generate a plurality of predictive models for the object using the one or more predictive factors; determine a score for each predictive model; select a group of predictive models from the plurality of predictive models, wherein the group of predictive models are selected using the score of each predictive model in the group; and generate a representative predictive model for the object using the group of predictive models, wherein the representative predictive model is associated with the object.
|
17. A computer-program product, tangibly embodied in a non-transitory machine-readable medium, including instructions configured to cause a data processing apparatus to: receive a plurality of requests for a web page from a plurality of sources, wherein the web page includes a configuration defining one or more objects presented with the web page, wherein each object is associated with a predictive model including one or more predictive factors, wherein the one or more predictive factors are determined using the plurality of received requests, wherein the one or more predictive factors are used to calculate a predictive value, and wherein a predictive value corresponds to a likelihood that an object will be selected by any one of the plurality of sources when presented in the configuration of the web page; retrieve predictive information related to the plurality of requests; determine one or more predictive factors for an object presented with the web page, wherein the one or more predictive factors are determined using the retrieved predictive information; generate a plurality of predictive models for the object using the one or more predictive factors; determine a score for each predictive model; select a group of predictive models from the plurality of predictive models, wherein the group of predictive models are selected using the score of each predictive model in the group; and generate a representative predictive model for the object using the group of predictive models, wherein the representative predictive model is associated with the object. 18. The computer-program product of claim 17 , wherein generating the representative predictive model for the object using the group of predictive models includes calculating an average value of coefficients associated with the group of predictive models.
| 0.858491 |
9,098,599 | 2 | 6 |
2. The computer-implemented method of claim 1 , wherein the first set of search query suggestions are based, in part, on search history data that includes data from and related to previous search requests associated with the search query.
|
2. The computer-implemented method of claim 1 , wherein the first set of search query suggestions are based, in part, on search history data that includes data from and related to previous search requests associated with the search query. 6. The computer-implemented method of claim 2 , wherein: receiving a first set of search query suggestions for a search query for display on a user device with a first resource determined to be responsive to the search query comprises receiving the first set of search query suggestions for the search query with first resource at a search engine.
| 0.591765 |
9,142,212 | 1 | 3 |
1. An apparatus for recognizing a voice command, the apparatus, comprising: a probability distribution of a command intention generator, implemented by a processor, configured to recognize a first voice command, and in response, configured to generate probability distributions of the command intention in consideration of predefined possible cases; a probability distribution of the command intention updater, implemented by a processor, configured to update each of the probability distributions of the command intention based on a system response based on one or the generated probability distributions of the command intention to the first voice command and a second voice command issued in response to the system response; a probability distribution of the command intention selector, implemented by a processor, configured to select one of the updated probability distributions of the command intention for the first voice command: and an operation signal generator, implemented by a processor, configured to select a final command intention from the selected updated probability distributions of the command intention and output an operation signal based on the selected final command intention; wherein the probability distribution of the command intention generator, implemented by the processor therefor, is further configured to generate different probability distributions of the command intention for the first voice command for different possible cases, the probability distribution of the command intention updater, implemented by the processor therefor, is further configured to hierarchically update each of the different probability distributions of the command intention, and the different possible cases include when the intention of the user is uniformly maintained, when the intention of the user is slightly modified, and when the intention of the user is completely changed.
|
1. An apparatus for recognizing a voice command, the apparatus, comprising: a probability distribution of a command intention generator, implemented by a processor, configured to recognize a first voice command, and in response, configured to generate probability distributions of the command intention in consideration of predefined possible cases; a probability distribution of the command intention updater, implemented by a processor, configured to update each of the probability distributions of the command intention based on a system response based on one or the generated probability distributions of the command intention to the first voice command and a second voice command issued in response to the system response; a probability distribution of the command intention selector, implemented by a processor, configured to select one of the updated probability distributions of the command intention for the first voice command: and an operation signal generator, implemented by a processor, configured to select a final command intention from the selected updated probability distributions of the command intention and output an operation signal based on the selected final command intention; wherein the probability distribution of the command intention generator, implemented by the processor therefor, is further configured to generate different probability distributions of the command intention for the first voice command for different possible cases, the probability distribution of the command intention updater, implemented by the processor therefor, is further configured to hierarchically update each of the different probability distributions of the command intention, and the different possible cases include when the intention of the user is uniformly maintained, when the intention of the user is slightly modified, and when the intention of the user is completely changed. 3. The apparatus of claim 1 , wherein each of the probability distributions of the command intention for the first voice command includes at least one of the intention of the first voice command, information indicating whether the first voice command has been confirmed, information indicating whether the system response to the first voice command has been output, and information indicating whether the output signal has been output.
| 0.740763 |
9,009,649 | 11 | 13 |
11. The computer-readable medium of claim 10 , wherein said method further comprises: analyzing said at least one application to determine an application relevance ranking for said at least one application; and ranking said at least one application with respect to at least one other application based on said application relevance ranking.
|
11. The computer-readable medium of claim 10 , wherein said method further comprises: analyzing said at least one application to determine an application relevance ranking for said at least one application; and ranking said at least one application with respect to at least one other application based on said application relevance ranking. 13. The computer-readable medium of claim 11 , wherein said method further comprises: comparing said application relevance ranking to an application relevance threshold; and if said application relevance ranking is greater than said application relevance threshold, adding said at least one application identifier of said at least one application to a list of applications.
| 0.5 |
8,681,098 | 1 | 19 |
1. A system comprising: a data funnel coupled to a processor, wherein the data funnel collates input data from a plurality of sources, wherein the input data is semantically uncorrelated three-space data of an instantaneous spatial and geometric state of an object in a frame of reference of the object, wherein the plurality of sources comprise disparate sources, wherein the data funnel conforms the input data into a stream of spatiotemporal data, wherein the spatiotemporal data of the stream is uniformly represented; a gesture engine coupled to the data funnel, wherein the gesture engine generates gestural events from the spatiotemporal data using a plurality of gesture descriptions, wherein the gesture engine represents the gestural events in a protoevent comprising a data format that is application-neutral and fully articulated; and a distributor coupled to the gesture engine, wherein the distributor provides access to the gestural events by at least one event consumer via corresponding protoevents in a spatial-semantic frame of reference of the at least one event consumer.
|
1. A system comprising: a data funnel coupled to a processor, wherein the data funnel collates input data from a plurality of sources, wherein the input data is semantically uncorrelated three-space data of an instantaneous spatial and geometric state of an object in a frame of reference of the object, wherein the plurality of sources comprise disparate sources, wherein the data funnel conforms the input data into a stream of spatiotemporal data, wherein the spatiotemporal data of the stream is uniformly represented; a gesture engine coupled to the data funnel, wherein the gesture engine generates gestural events from the spatiotemporal data using a plurality of gesture descriptions, wherein the gesture engine represents the gestural events in a protoevent comprising a data format that is application-neutral and fully articulated; and a distributor coupled to the gesture engine, wherein the distributor provides access to the gestural events by at least one event consumer via corresponding protoevents in a spatial-semantic frame of reference of the at least one event consumer. 19. The system of claim 1 , wherein the gesture engine receives the spatiotemporal data comprising motion of the object.
| 0.858824 |
8,484,228 | 13 | 18 |
13. A computer system for grouping words, comprising: a computer memory to store program code; and a processor to execute the program code to: obtain feature words from a first corpus of text bodies comprising a plurality of reviews; create a second corpus using a combination of the obtained feature words, verbs and adjectives from the first corpus, wherein the second corpus comprises filtered reviews and each of the filtered reviews pertains to a review of the plurality of reviews; preliminarily assign topics for words in the filtered reviews of the second corpus; for the feature words in the second corpus, determine topic counts for preliminarily assigned topics; after determining the topic counts, finally assign one or more of the topics to the feature words based on a topic count value, comprising: assign the one or more topics that have a highest topic count value to the feature words; and assign the one or more topics that have a threshold topic count value relative to the highest topic value; and present on a user interface at least one topic as a group of the feature words for which the at least one topic is assigned based on the topic count value.
|
13. A computer system for grouping words, comprising: a computer memory to store program code; and a processor to execute the program code to: obtain feature words from a first corpus of text bodies comprising a plurality of reviews; create a second corpus using a combination of the obtained feature words, verbs and adjectives from the first corpus, wherein the second corpus comprises filtered reviews and each of the filtered reviews pertains to a review of the plurality of reviews; preliminarily assign topics for words in the filtered reviews of the second corpus; for the feature words in the second corpus, determine topic counts for preliminarily assigned topics; after determining the topic counts, finally assign one or more of the topics to the feature words based on a topic count value, comprising: assign the one or more topics that have a highest topic count value to the feature words; and assign the one or more topics that have a threshold topic count value relative to the highest topic value; and present on a user interface at least one topic as a group of the feature words for which the at least one topic is assigned based on the topic count value. 18. The system of claim 13 , wherein the feature words comprise compound words.
| 0.924184 |
8,706,713 | 1 | 3 |
1. A method of searching for desired information, the method comprising: receiving, from a user having user profile data associated therewith, a search request comprising a search argument; providing, to a first search engine, the received search argument for correlation with first contextual information in a database of network related information; providing, to a second search engine, the received search argument and the user profile data for correlation with a first advertisement in an advertisement database; providing the first contextual information and the first advertisement to the user as a first search result; updating the user profile data based on at least one of the first contextual information, the first advertisement, selection of the first advertisement by the user, and non-selection of the first advertisement by the user; receiving refinement information comprising a refined search argument from the user; providing, to the first search engine, the refined search argument for correlation with second contextual information in the database of network related information; providing, to the second search engine, the refined search argument and the updated user profile data for correlation with a second advertisement in the advertisement database; and providing the second contextual information and the second advertisement to the user.
|
1. A method of searching for desired information, the method comprising: receiving, from a user having user profile data associated therewith, a search request comprising a search argument; providing, to a first search engine, the received search argument for correlation with first contextual information in a database of network related information; providing, to a second search engine, the received search argument and the user profile data for correlation with a first advertisement in an advertisement database; providing the first contextual information and the first advertisement to the user as a first search result; updating the user profile data based on at least one of the first contextual information, the first advertisement, selection of the first advertisement by the user, and non-selection of the first advertisement by the user; receiving refinement information comprising a refined search argument from the user; providing, to the first search engine, the refined search argument for correlation with second contextual information in the database of network related information; providing, to the second search engine, the refined search argument and the updated user profile data for correlation with a second advertisement in the advertisement database; and providing the second contextual information and the second advertisement to the user. 3. The method of claim 1 , wherein the user profile data comprises at least one of social data, family data, political data, technological data, geographical data, environmental data, and educational data.
| 0.5 |
7,747,607 | 4 | 5 |
4. The method of claim 2 further comprising: storing data identifying the sub-strings of said string that are logically related to said string; and wherein the search engine suggests alternative queries to a user based on said data.
|
4. The method of claim 2 further comprising: storing data identifying the sub-strings of said string that are logically related to said string; and wherein the search engine suggests alternative queries to a user based on said data. 5. The method of claim 4 wherein the search engine suggesting alternative queries to a user based on said data includes: receiving, from said user, a user-formulated query; determining that said user-formulated query contains said string; reading said data to determine the sub-strings of said string that are logically related to said string; and generating one or more alternative queries based on the sub-strings of said string that are logically related to said string.
| 0.5 |
8,538,094 | 1 | 3 |
1. A Quality of Life (“QOL”) quantification system comprising: a QOL rules engine; a QOL measure datastore, wherein the QOL measure datastore comprises quantifiable measures of QOL factors; a change option datastore; and a QOL score data archive, wherein the QOL score data archive comprises QOL score data for other users; wherein the QOL rules engine comprises instructions for: receiving user data corresponding to a selected QOL factor of the user; obtaining measures of QOL from the QOL measure datastore that correspond to the selected QOL factor; evaluating the user data against the QOL measures of the selected QOL factor to determine a user score indicative of the degree of quality of the selected QOL factor of the user; receiving at least one change option selected from the change option datastore; applying the at least one selected change option to the selected QOL factor; and determining an enhanced user score after application of the at least one selected change option.
|
1. A Quality of Life (“QOL”) quantification system comprising: a QOL rules engine; a QOL measure datastore, wherein the QOL measure datastore comprises quantifiable measures of QOL factors; a change option datastore; and a QOL score data archive, wherein the QOL score data archive comprises QOL score data for other users; wherein the QOL rules engine comprises instructions for: receiving user data corresponding to a selected QOL factor of the user; obtaining measures of QOL from the QOL measure datastore that correspond to the selected QOL factor; evaluating the user data against the QOL measures of the selected QOL factor to determine a user score indicative of the degree of quality of the selected QOL factor of the user; receiving at least one change option selected from the change option datastore; applying the at least one selected change option to the selected QOL factor; and determining an enhanced user score after application of the at least one selected change option. 3. The system of claim 1 wherein the measures of QOL are selected from the group consisting of sleep measures, relationship measures, mental health measures, nutrition measures, fitness measures, physical appearance measures, and physical health measures.
| 0.5 |
9,465,864 | 1 | 12 |
1. A method comprising: obtaining a designated query intent from a search query; in response to obtaining the designated query intent from the search query, obtaining a second wiki article corresponding to the designated query intent, wherein the second wiki article includes a second title, a second body, and a plurality of respective links; obtaining a plurality of first wiki articles that correspond to the plurality of respective links included in the second wiki article, wherein each of the first wiki articles includes a different title and a different body; extracting a plurality of first titles of the plurality of first wiki articles; extracting the second title of the second wiki article; generating an initial key term set including the plurality of first titles and the second title; correlating each of the plurality of first titles and the second title with at least one respective clicked uniform resource identifier based on a search click log, wherein the search click log comprises a record of historical search queries provided by users and documents clicked by the users from search results retrieved in response to the historical search queries, and wherein each of the documents has a respective uniform resource identifier; generating an expanded key term set to include the initial key term set expanded to further include search terms correlated to the at least one respective clicked uniform resource identifier; training a search query intent classifier to classify search queries with respect to the designated query intent based on the expanded key term set; obtaining the designated query intent from a subsequent search query; and in response to obtaining the subsequent search query corresponding to the designated query intent, controlling the trained search query intent classifier to select advertisement data based on the expanded key term set.
|
1. A method comprising: obtaining a designated query intent from a search query; in response to obtaining the designated query intent from the search query, obtaining a second wiki article corresponding to the designated query intent, wherein the second wiki article includes a second title, a second body, and a plurality of respective links; obtaining a plurality of first wiki articles that correspond to the plurality of respective links included in the second wiki article, wherein each of the first wiki articles includes a different title and a different body; extracting a plurality of first titles of the plurality of first wiki articles; extracting the second title of the second wiki article; generating an initial key term set including the plurality of first titles and the second title; correlating each of the plurality of first titles and the second title with at least one respective clicked uniform resource identifier based on a search click log, wherein the search click log comprises a record of historical search queries provided by users and documents clicked by the users from search results retrieved in response to the historical search queries, and wherein each of the documents has a respective uniform resource identifier; generating an expanded key term set to include the initial key term set expanded to further include search terms correlated to the at least one respective clicked uniform resource identifier; training a search query intent classifier to classify search queries with respect to the designated query intent based on the expanded key term set; obtaining the designated query intent from a subsequent search query; and in response to obtaining the subsequent search query corresponding to the designated query intent, controlling the trained search query intent classifier to select advertisement data based on the expanded key term set. 12. The method of claim 1 , wherein extracting the plurality of first titles comprises: extracting the plurality of first titles of the plurality of respective first wiki articles that corresponds to a plurality of respective redirection links that are associated with the second wiki article to provide the initial key term set.
| 0.847544 |
8,056,128 | 1 | 24 |
1. A method performed by one or more server devices, the method comprising: determining, by one or more processors of the one or more server devices, whether a document in a set of ranked documents requests personal or private information, where documents in the set of ranked documents that are well known are ranked higher than documents that are not well known; analyzing, by one or more processors of the one or more server devices, if the document is determined to request personal or private information, data or attributes associated with the document, where the analyzing the data or attributes associated with the document includes analyzing a ranking of the document relative to rankings of other documents in the set of ranked documents; calculating, by one or more processors of the one or more server devices, a fraud score for the document based on the analysis; comparing, by one or more processors of the one or more server devices, the fraud score to a first threshold and a second different threshold; designating, by one or more processors of the one or more server devices, the document as trustworthy when the fraud score does not pass the first threshold; designating, by one or more processors of the one or more server devices, the document as untrustworthy when the fraud score passes the second different threshold; obtaining, by one or more processors of the one or more server devices, a designation of trustworthiness from a user when the fraud score is between the first threshold and the second different threshold; and associating, in a memory associated with the one or more server devices, an indication of a trustworthiness of the document, determined based on the designation of the document as trustworthy, the designation of the document as untrustworthy, or the designation of trustworthiness obtained from a user, with the fraud score and an identifier for the document.
|
1. A method performed by one or more server devices, the method comprising: determining, by one or more processors of the one or more server devices, whether a document in a set of ranked documents requests personal or private information, where documents in the set of ranked documents that are well known are ranked higher than documents that are not well known; analyzing, by one or more processors of the one or more server devices, if the document is determined to request personal or private information, data or attributes associated with the document, where the analyzing the data or attributes associated with the document includes analyzing a ranking of the document relative to rankings of other documents in the set of ranked documents; calculating, by one or more processors of the one or more server devices, a fraud score for the document based on the analysis; comparing, by one or more processors of the one or more server devices, the fraud score to a first threshold and a second different threshold; designating, by one or more processors of the one or more server devices, the document as trustworthy when the fraud score does not pass the first threshold; designating, by one or more processors of the one or more server devices, the document as untrustworthy when the fraud score passes the second different threshold; obtaining, by one or more processors of the one or more server devices, a designation of trustworthiness from a user when the fraud score is between the first threshold and the second different threshold; and associating, in a memory associated with the one or more server devices, an indication of a trustworthiness of the document, determined based on the designation of the document as trustworthy, the designation of the document as untrustworthy, or the designation of trustworthiness obtained from a user, with the fraud score and an identifier for the document. 24. The method of claim 1 , where analyzing data or attributes associated with the document further comprises: analyzing references to the document, or to a domain associated with the document, over time in received electronic messages.
| 0.613115 |
4,644,492 | 1 | 11 |
1. An electronic translator, comprising: input means for entering words of a first language; mode input means for selectively entering either a first mode signal or a second mode signal; converting means connected to said input means for converting the words of the first language entered from said input means into words of a second language; and arranging means connected to said converting means and said mode input means, for arranging the words of the second language obtained from said converting means in a first order in response to said first mode signal entered from said mode input means, and for arranging the words of the second language obtained from said converting means in a second order obtained from said converting means in response to said second mode signal entered from said mode input means.
|
1. An electronic translator, comprising: input means for entering words of a first language; mode input means for selectively entering either a first mode signal or a second mode signal; converting means connected to said input means for converting the words of the first language entered from said input means into words of a second language; and arranging means connected to said converting means and said mode input means, for arranging the words of the second language obtained from said converting means in a first order in response to said first mode signal entered from said mode input means, and for arranging the words of the second language obtained from said converting means in a second order obtained from said converting means in response to said second mode signal entered from said mode input means. 11. An electronic translator according to claim 1, wherein said mode input means includes at least a manually operable input switch.
| 0.730612 |
8,438,092 | 9 | 13 |
9. A computer program product for selecting a recommended investment portfolio based in part on investment factor considerations, the computer program product comprising computer-readable media encoded with non-transitory tangible instructions for execution by a processor to perform a method comprising: (a) providing a portfolio of securities identified for potential inclusion in the recommended investment portfolio; (b) providing investment factor scores for the identified securities; (c) ranking the identified securities relative to each other based on their investment factor scores in a computerized ranking engine; (d) entering into a processor: (i) initial weightings for each of the identified securities, or data by which initial weightings for each of the identified securities is objectively calculated, the initial weightings or the data being unadjusted by investment factor considerations, (ii) the ranking of the identified securities based on their investment factor scores, and (iii) an investment factor multiplier algorithm that is correlated with the relative ranking; (e) calculating via the processor using a weighting engine, adjusted weightings for the portfolio of securities using at least the entered items (i)-(iii), wherein securities having higher ranked investment factor scores relative to other securities receive greater weightings, and the weightings include non-binary weightings; (f) outputting via the processor, the adjusted weightings for the portfolio of securities; and (g) selecting the recommended investment portfolio based in part on investment factor considerations using the adjusted weightings.
|
9. A computer program product for selecting a recommended investment portfolio based in part on investment factor considerations, the computer program product comprising computer-readable media encoded with non-transitory tangible instructions for execution by a processor to perform a method comprising: (a) providing a portfolio of securities identified for potential inclusion in the recommended investment portfolio; (b) providing investment factor scores for the identified securities; (c) ranking the identified securities relative to each other based on their investment factor scores in a computerized ranking engine; (d) entering into a processor: (i) initial weightings for each of the identified securities, or data by which initial weightings for each of the identified securities is objectively calculated, the initial weightings or the data being unadjusted by investment factor considerations, (ii) the ranking of the identified securities based on their investment factor scores, and (iii) an investment factor multiplier algorithm that is correlated with the relative ranking; (e) calculating via the processor using a weighting engine, adjusted weightings for the portfolio of securities using at least the entered items (i)-(iii), wherein securities having higher ranked investment factor scores relative to other securities receive greater weightings, and the weightings include non-binary weightings; (f) outputting via the processor, the adjusted weightings for the portfolio of securities; and (g) selecting the recommended investment portfolio based in part on investment factor considerations using the adjusted weightings. 13. The computer program product of claim 9 wherein the instructions when executed by the processor perform a method further comprising: (h) defining an index based on the recommended investment portfolio.
| 0.810536 |
9,251,138 | 1 | 5 |
1. A computer system for analyzing natural language comprising: a phrase database configured to store phrases; and a phrase analysis engine coupled with the phrase database and configured to: obtain a corpus comprising a plurality of phrases; extract phrases from the corpus; determine a degree of similarity among the phrases based on phrase contexts associated with the phrases and on overlaps among phrase contexts determined by surrounding phrases in the corpus proximate to the phrases; and cluster the phrases into classes within the phrase database based on the degree of similarity among the phrase; and a user interface configured to present a response generated from phrases obtained from the phrase database to a user.
|
1. A computer system for analyzing natural language comprising: a phrase database configured to store phrases; and a phrase analysis engine coupled with the phrase database and configured to: obtain a corpus comprising a plurality of phrases; extract phrases from the corpus; determine a degree of similarity among the phrases based on phrase contexts associated with the phrases and on overlaps among phrase contexts determined by surrounding phrases in the corpus proximate to the phrases; and cluster the phrases into classes within the phrase database based on the degree of similarity among the phrase; and a user interface configured to present a response generated from phrases obtained from the phrase database to a user. 5. The system of claim 1 , wherein the corpus comprises a machine-readable corpus.
| 0.742138 |
7,545,290 | 3 | 4 |
3. A handheld electronic device comprising: a processor apparatus comprising a processor and a memory having stored therein a plurality of objects comprising a plurality of language objects, the processor apparatus being structured to detect an ambiguous input, and being further structured to generate a number of compound language solutions by, for each compound language solution: identifying a language object corresponding with a portion of the ambiguous input and having a length equal to the length of the portion, and for each of a number of other portions of the ambiguous input, identifying another language object corresponding with the other portion of the ambiguous input; an input apparatus comprising a plurality of input members, at least some of the input members each having a plurality of linguistic elements assigned thereto; an output apparatus; the processor apparatus being structured to make a determination that one compound language solution has a greater degree of sequence completeness than another compound language solution; the processor apparatus being structured to output a representation of each of at least some of the compound language solutions, each said representation comprising a representation of the language object and, for each of the other portions, a representation of at least a portion of the another language object corresponding therewith; the processor apparatus being structured to output the one compound language solution at a higher output priority than the another compound language solution; wherein the processor apparatus is structured to make as said determination a determination that, for the one compound language solution, each other portion of the ambiguous input has a length equal length to that of the identified language object corresponding therewith; wherein the processor apparatus is structured to arrange at least some of the representations in order of decreasing priority according to the increasing quantity of other portions; wherein the processor apparatus is structured to determine that a plurality of the compound language solutions have an equal quantity of other portions, to determine a length identity value for each of said plurality of compound language solutions, and to output said plurality of compound language solutions amongst themselves in order of decreasing priority according to the increasing length identity value; wherein the processor apparatus is structured to determine that the one compound language solution and the another compound language solution have an equal length identity value and, responsive thereto, to initiate said making a determination; and wherein the objects additionally comprise a plurality of frequency objects each having a frequency value, at least some of the language objects each being associated with an associated frequency object, and wherein the processor apparatus is structured to determine that an additional compound language solution has a length identity value equal to that of the one compound language solution and the another compound language solution, to assign to the another compound language solution a frequency value based at least in part upon a frequency value of a frequency object associated with a language object of the another compound language solution, to assign to the additional compound language solution a frequency value based at least in part upon a frequency value of a frequency object associated with a language object of the additional compound language solution, and to output the another compound language solution and the additional compound language solution amongst themselves in order of decreasing priority according to the decreasing frequency value and at a position of lower priority than the one compound language solution.
|
3. A handheld electronic device comprising: a processor apparatus comprising a processor and a memory having stored therein a plurality of objects comprising a plurality of language objects, the processor apparatus being structured to detect an ambiguous input, and being further structured to generate a number of compound language solutions by, for each compound language solution: identifying a language object corresponding with a portion of the ambiguous input and having a length equal to the length of the portion, and for each of a number of other portions of the ambiguous input, identifying another language object corresponding with the other portion of the ambiguous input; an input apparatus comprising a plurality of input members, at least some of the input members each having a plurality of linguistic elements assigned thereto; an output apparatus; the processor apparatus being structured to make a determination that one compound language solution has a greater degree of sequence completeness than another compound language solution; the processor apparatus being structured to output a representation of each of at least some of the compound language solutions, each said representation comprising a representation of the language object and, for each of the other portions, a representation of at least a portion of the another language object corresponding therewith; the processor apparatus being structured to output the one compound language solution at a higher output priority than the another compound language solution; wherein the processor apparatus is structured to make as said determination a determination that, for the one compound language solution, each other portion of the ambiguous input has a length equal length to that of the identified language object corresponding therewith; wherein the processor apparatus is structured to arrange at least some of the representations in order of decreasing priority according to the increasing quantity of other portions; wherein the processor apparatus is structured to determine that a plurality of the compound language solutions have an equal quantity of other portions, to determine a length identity value for each of said plurality of compound language solutions, and to output said plurality of compound language solutions amongst themselves in order of decreasing priority according to the increasing length identity value; wherein the processor apparatus is structured to determine that the one compound language solution and the another compound language solution have an equal length identity value and, responsive thereto, to initiate said making a determination; and wherein the objects additionally comprise a plurality of frequency objects each having a frequency value, at least some of the language objects each being associated with an associated frequency object, and wherein the processor apparatus is structured to determine that an additional compound language solution has a length identity value equal to that of the one compound language solution and the another compound language solution, to assign to the another compound language solution a frequency value based at least in part upon a frequency value of a frequency object associated with a language object of the another compound language solution, to assign to the additional compound language solution a frequency value based at least in part upon a frequency value of a frequency object associated with a language object of the additional compound language solution, and to output the another compound language solution and the additional compound language solution amongst themselves in order of decreasing priority according to the decreasing frequency value and at a position of lower priority than the one compound language solution. 4. The handheld electronic device of claim 3 wherein the processor apparatus is structured to make, as said determination, a determination that, for the one compound language solution, each other portion of the ambiguous input has a length equal length to that of the identified language object corresponding therewith.
| 0.5 |
8,626,585 | 24 | 25 |
24. The computer storage apparatus of claim 22 , wherein the operations further comprise, for each of the one or more advertisements: determining an advertising entity for the textual advertisement; identifying one or more entity images based on the advertising entity; and storing, in the data storage system, data associating the entity images with the textual advertisement.
|
24. The computer storage apparatus of claim 22 , wherein the operations further comprise, for each of the one or more advertisements: determining an advertising entity for the textual advertisement; identifying one or more entity images based on the advertising entity; and storing, in the data storage system, data associating the entity images with the textual advertisement. 25. The computer storage apparatus of claim 24 , wherein identifying one or more entity images based on the advertising entity comprises: providing the advertising entity as a query to an image search engine; receiving, from the image search engine, data identifying images responsive to the query, the images being ranked according to an order of relevance to the query; and selecting images that are the highest ranked in the order as the entity images.
| 0.5 |
8,818,984 | 1 | 4 |
1. A method for using user provided tags for searching, comprising: collecting, by a processor, a plurality of user provided tags associated with a plurality of entities, wherein the plurality of user provided tags comprises semantic descriptions; creating, by the processor, a tag topological network layer that is managed by a service provider, wherein the tag topological network layer predefines a next entity for each one of the plurality of entities based upon the plurality of user provided tags; receiving, by the processor, a user query that contains a search term; and generating, by the processor, a search result containing an entity of the plurality of entities in the tag topological network layer, wherein the entity is found based on a distance measure of a tag vector, tp, for the entity, p, wherein a function tp(i) represents a measure of a weight of a tag, i, that is used to tag the entity, p, based on a normalized count of times tag, i, is used to tag the entity, p, wherein the entity contains a link to another entity in accordance with the tag topological network layer, wherein the link is created in accordance with the tag vector of the entity.
|
1. A method for using user provided tags for searching, comprising: collecting, by a processor, a plurality of user provided tags associated with a plurality of entities, wherein the plurality of user provided tags comprises semantic descriptions; creating, by the processor, a tag topological network layer that is managed by a service provider, wherein the tag topological network layer predefines a next entity for each one of the plurality of entities based upon the plurality of user provided tags; receiving, by the processor, a user query that contains a search term; and generating, by the processor, a search result containing an entity of the plurality of entities in the tag topological network layer, wherein the entity is found based on a distance measure of a tag vector, tp, for the entity, p, wherein a function tp(i) represents a measure of a weight of a tag, i, that is used to tag the entity, p, based on a normalized count of times tag, i, is used to tag the entity, p, wherein the entity contains a link to another entity in accordance with the tag topological network layer, wherein the link is created in accordance with the tag vector of the entity. 4. The method of claim 1 , wherein the tag vector of the entity comprises a distribution of the plurality of user provided tags.
| 0.744 |
9,792,534 | 16 | 18 |
16. One or more non-transitory computer-readable storage media storing instructions executable via the one or more processing devices to implement a caption generator configured to perform operations to automatically generate image captions using word vector representations including: obtaining a target image for caption analysis; applying feature extraction to the target image to generate attributes corresponding to the image; supplying the attributes to the caption generator to initiate caption generation; outputting by the caption generator a word vector in a semantic word vector space indicative of semantic relationships between words in sentences formed as a combination of the attributes; and subsequently using the word vector in post-processing operations to generate a corresponding caption by: selecting a dictionary; and mapping the word vector to words in the semantic word vector space based on the selected dictionary.
|
16. One or more non-transitory computer-readable storage media storing instructions executable via the one or more processing devices to implement a caption generator configured to perform operations to automatically generate image captions using word vector representations including: obtaining a target image for caption analysis; applying feature extraction to the target image to generate attributes corresponding to the image; supplying the attributes to the caption generator to initiate caption generation; outputting by the caption generator a word vector in a semantic word vector space indicative of semantic relationships between words in sentences formed as a combination of the attributes; and subsequently using the word vector in post-processing operations to generate a corresponding caption by: selecting a dictionary; and mapping the word vector to words in the semantic word vector space based on the selected dictionary. 18. One or more non-transitory computer-readable storage media as recited in claim 16 , wherein the feature extraction is implemented using a pre-trained convolution neural network (CNN) to encode the image with keywords indicative of the attributes.
| 0.661247 |
4,724,523 | 69 | 71 |
69. A method according to claim 66 in which said third coding step comprises storing a signal representative of at least one addressable other elemental expression of a paradigm of which said corresponding stored entry is an element.
|
69. A method according to claim 66 in which said third coding step comprises storing a signal representative of at least one addressable other elemental expression of a paradigm of which said corresponding stored entry is an element. 71. A method according to claim 69 in which said inflecting step comprises responding to said input expression being of nominal grammatical class and a singular, possessive inflectional class for (i) generating a signal representative or an expresion having a suffix "'s", if said related expression is of said first nominal class, (ii) generating a signal representative of an expression having a suffix "es'", if said related expression is of said second nominal class, and (iii) generating a signal representative of an expression having a suffix "'s", if said related expression is of said third nominal class.
| 0.748361 |
9,996,773 | 6 | 8 |
6. The system of claim 5 wherein the computer readable program code configured to assign the facial characteristic recognition task to the at least one specialty model in the plurality of facial recognition models is further configured to: detect a facial characteristic in at least one facial image of the extremely large data set of facial images; and insert the at least one facial image into the at least one specialty model to increase the facial matching accuracy of the at least one specialty model with respect to the facial characteristic.
|
6. The system of claim 5 wherein the computer readable program code configured to assign the facial characteristic recognition task to the at least one specialty model in the plurality of facial recognition models is further configured to: detect a facial characteristic in at least one facial image of the extremely large data set of facial images; and insert the at least one facial image into the at least one specialty model to increase the facial matching accuracy of the at least one specialty model with respect to the facial characteristic. 8. The system of claim 6 wherein the computer readable program code configured to increase the facial matching model accuracy associated with each of the plurality of facial recognition models is further configured to: compute a correlation between a dataset facial image within the extremely large data set of facial images and a most closely matching facial image within each of the plurality of facial recognition models; determine a least closely matching facial image associated with a farthest correlation between the dataset facial image and each of the most closely matching facial images; and insert the dataset facial image into the facial recognition model associated with the least closely matching facial image.
| 0.5 |
7,783,971 | 1 | 5 |
1. A computer-implemented method for providing thematic information to provide a visual theme for documents, comprising: defining a theme object for conveying theme elements to documents; wherein the theme object is defined using a markup language and stored in a theme file; wherein the definition of the theme object in the theme file is maintained separately from other objects that define the document; wherein the other objects comprise: a features part; a data part; and a styles part; wherein the theme object definition includes properties that can be shared and overridden in a hierarchical manner; wherein a schema defines and enforces rules for displaying the theme object; using a first application to author a first document and associating the theme object in the theme file with the first document; wherein the first document is associated with a first file format that includes modular parts that are associated together via a first document relationship hierarchy; wherein the theme object is a modular part that is associated with the first file format via the first document relationship hierarchy; and using a second application that is different from the first application to author a second document and associating the theme object in the theme document with the second document wherein the second document is associated with a second file format that includes modular parts that are associated together via a second document relationship hierarchy; wherein the theme object is a modular part that is associated with the second file format via the second document relationship hierarchy, such that a single theme object is associated with multiple file formats and documents; wherein associating the theme object in the theme document with the first document and the second document applies the theme elements to the first document and the second document such that the first document and the second document have a common appearance.
|
1. A computer-implemented method for providing thematic information to provide a visual theme for documents, comprising: defining a theme object for conveying theme elements to documents; wherein the theme object is defined using a markup language and stored in a theme file; wherein the definition of the theme object in the theme file is maintained separately from other objects that define the document; wherein the other objects comprise: a features part; a data part; and a styles part; wherein the theme object definition includes properties that can be shared and overridden in a hierarchical manner; wherein a schema defines and enforces rules for displaying the theme object; using a first application to author a first document and associating the theme object in the theme file with the first document; wherein the first document is associated with a first file format that includes modular parts that are associated together via a first document relationship hierarchy; wherein the theme object is a modular part that is associated with the first file format via the first document relationship hierarchy; and using a second application that is different from the first application to author a second document and associating the theme object in the theme document with the second document wherein the second document is associated with a second file format that includes modular parts that are associated together via a second document relationship hierarchy; wherein the theme object is a modular part that is associated with the second file format via the second document relationship hierarchy, such that a single theme object is associated with multiple file formats and documents; wherein associating the theme object in the theme document with the first document and the second document applies the theme elements to the first document and the second document such that the first document and the second document have a common appearance. 5. The method of claim 1 wherein the theme elements comprise information for graphic object fills.
| 0.687898 |
8,781,833 | 1 | 4 |
1. A method of automated training for a router confidence engine in a call routing system, the method comprising: defining, by a computer system, a set of call routes for processing input speech utterances in a call routing system, each call route representing a specific call processing path; performing, by the computer system, initial router confidence training based on an initial set of training data; operating, by the computer system, the call routing system to assign input speech utterances to the defined call routes; collecting, by the computer system, adaptation training data based on processed input speech utterances; and re-performing, by the computer system, router confidence training based on the adaptation training data, wherein each iteration i of the re-performing occurs when 2 i speech utterances for each call route are available.
|
1. A method of automated training for a router confidence engine in a call routing system, the method comprising: defining, by a computer system, a set of call routes for processing input speech utterances in a call routing system, each call route representing a specific call processing path; performing, by the computer system, initial router confidence training based on an initial set of training data; operating, by the computer system, the call routing system to assign input speech utterances to the defined call routes; collecting, by the computer system, adaptation training data based on processed input speech utterances; and re-performing, by the computer system, router confidence training based on the adaptation training data, wherein each iteration i of the re-performing occurs when 2 i speech utterances for each call route are available. 4. The method according to claim 1 , wherein performing the initial router confidence training based on the initial set of training data comprises: performing the initial router confidence training based on only automatically transcribed and unlabeled in-domain training data.
| 0.602305 |
8,725,518 | 11 | 17 |
11. A method for providing quality management related to an accent of a call responder handling a call in a contact center, comprising: creating one or more statistical accent models from one or more training speech data, each statistical accent model associated with an accent, based on accent related details from collections of speech instances that are further normalized relative to differences therebetween for accent conformity, and with a model accent score representing the conformity of the statistical accent model to the associated accent; recording by a recording system a speech sample of a call responder having a call responder accent; inputting the speech sample for analysis; preparing a statistical speech model representing the speech sample of the call responder; comparing the statistical speech model with said statistical accent models; determining a closest statistical accent model to said statistical speech model; assigning an accent score for the statistical speech model, the accent score corresponding to the model accent score of the closest statistical accent model; automatically amending in the speech sample by replacement waveforms, sections determined as having known errors, whereby the amended speech sample replaces the speech sample to conform to the closest accent model; and providing during the call conducted by the call responder an immediate visual feedback indicating the level of deviation of the agent from the required accent.
|
11. A method for providing quality management related to an accent of a call responder handling a call in a contact center, comprising: creating one or more statistical accent models from one or more training speech data, each statistical accent model associated with an accent, based on accent related details from collections of speech instances that are further normalized relative to differences therebetween for accent conformity, and with a model accent score representing the conformity of the statistical accent model to the associated accent; recording by a recording system a speech sample of a call responder having a call responder accent; inputting the speech sample for analysis; preparing a statistical speech model representing the speech sample of the call responder; comparing the statistical speech model with said statistical accent models; determining a closest statistical accent model to said statistical speech model; assigning an accent score for the statistical speech model, the accent score corresponding to the model accent score of the closest statistical accent model; automatically amending in the speech sample by replacement waveforms, sections determined as having known errors, whereby the amended speech sample replaces the speech sample to conform to the closest accent model; and providing during the call conducted by the call responder an immediate visual feedback indicating the level of deviation of the agent from the required accent. 17. A method according to claim 11 , wherein said one or more statistical accent models are updated based on speech signals from groups of substantially equally scoring users.
| 0.546632 |
9,064,436 | 19 | 20 |
19. A non-transitory computer-readable medium having stored thereon instructions executable by a computing device to cause the computing device to perform functions comprising: providing, on a touch interface arranged on a head-mountable display such that the touch interface is outside of a wearer field-of-view when the head-mountable display is worn, a user-interface comprising a set of input areas, wherein each of the input areas is associated with a character from a set of characters; receiving, on the touch interface, first touch input data indicating a selection of a first input area from the set of input areas and a direction relative to the first input area; determining a first subset of input areas from the set of input areas, wherein the first subset includes a range of one or more adjacent input areas extending from the selected first input area in the indicated direction relative to the selected first input area; receiving, on the touch interface, second touch input data indicating a sequence of one or more successive selections of respective second input areas from the set of input areas and respective directions relative to each selected second input area, wherein each selected second input area is located to a first side of a previously selected second input area; determining one or more second subsets of input areas from the set of input areas, wherein each second subset includes a range extending from the selected second input area in the indicated direction relative to the second input area, wherein the range is exclusive of input areas that are located to a second side of previously selected second input area, and wherein the second side is opposite the first side; determining a word that includes respective characters corresponding to input areas within the first subset of input areas and the one or more second subsets of input areas; and causing a visual depiction of the determined word to be provided on a head-mountable graphical display.
|
19. A non-transitory computer-readable medium having stored thereon instructions executable by a computing device to cause the computing device to perform functions comprising: providing, on a touch interface arranged on a head-mountable display such that the touch interface is outside of a wearer field-of-view when the head-mountable display is worn, a user-interface comprising a set of input areas, wherein each of the input areas is associated with a character from a set of characters; receiving, on the touch interface, first touch input data indicating a selection of a first input area from the set of input areas and a direction relative to the first input area; determining a first subset of input areas from the set of input areas, wherein the first subset includes a range of one or more adjacent input areas extending from the selected first input area in the indicated direction relative to the selected first input area; receiving, on the touch interface, second touch input data indicating a sequence of one or more successive selections of respective second input areas from the set of input areas and respective directions relative to each selected second input area, wherein each selected second input area is located to a first side of a previously selected second input area; determining one or more second subsets of input areas from the set of input areas, wherein each second subset includes a range extending from the selected second input area in the indicated direction relative to the second input area, wherein the range is exclusive of input areas that are located to a second side of previously selected second input area, and wherein the second side is opposite the first side; determining a word that includes respective characters corresponding to input areas within the first subset of input areas and the one or more second subsets of input areas; and causing a visual depiction of the determined word to be provided on a head-mountable graphical display. 20. The non-transitory computer readable medium of claim 19 , wherein the set of input areas extends linearly between two terminating input areas, and wherein receiving, on the touch interface, second touch input data indicating a sequence of one or more successive selections of respective second input areas comprises, for at least one of the one or more successive selections of second input areas, receiving data indicating a flick input towards a given terminating input area of the of the set of input areas, wherein the respective range consists of one or more second input areas between the selected second input area and the terminating input area.
| 0.5 |
8,708,960 | 1 | 10 |
1. An infusion pump assembly comprising: a reservoir assembly configured to contain an infusible fluid; a motor assembly configured to act upon the reservoir assembly and dispense at least a portion of the infusible fluid contained within the reservoir assembly; processing logic configured to control the motor assembly; wherein the processing logic includes: a primary microprocessor configured to execute one or more primary applications written in a first computer language; and a safety microprocessor configured to execute one or more safety applications written in a second computer language that is different than the first computer language; and a computer program product residing on a computer readable medium having a plurality of instructions stored thereon which, when executed by a processor, cause the processor to perform operations comprising: receiving, on the primary microprocessor executing one or more applications written in a first computer language, an initial command processable by the one or more applications written in the first computer language; converting the initial command into a modified command processable by one or more applications written in a second computer language; and providing the modified command to the safety microprocessor executing the one or more applications written in the second computer language.
|
1. An infusion pump assembly comprising: a reservoir assembly configured to contain an infusible fluid; a motor assembly configured to act upon the reservoir assembly and dispense at least a portion of the infusible fluid contained within the reservoir assembly; processing logic configured to control the motor assembly; wherein the processing logic includes: a primary microprocessor configured to execute one or more primary applications written in a first computer language; and a safety microprocessor configured to execute one or more safety applications written in a second computer language that is different than the first computer language; and a computer program product residing on a computer readable medium having a plurality of instructions stored thereon which, when executed by a processor, cause the processor to perform operations comprising: receiving, on the primary microprocessor executing one or more applications written in a first computer language, an initial command processable by the one or more applications written in the first computer language; converting the initial command into a modified command processable by one or more applications written in a second computer language; and providing the modified command to the safety microprocessor executing the one or more applications written in the second computer language. 10. The infusion pump assembly of claim 1 wherein the one or more safety applications written in the second computer language are chosen from the group consisting of an operating system, an executive loop and a software application.
| 0.737557 |
8,515,923 | 1 | 8 |
1. A document repository management (DRM) system for an institution having a defined organization, said DRM system comprising: an input device for receiving a document access request; an electronically readable organization chart and organizational chart information including information identifying individuals on said organization chart; an electronic document repository containing accessible documents; a controller that: controls requested access to each document of said accessible documents in said electronic document repository; and maps to said electronically readable organization chart and said organizational chart information, each said requested access to said each document of said accessible documents; and a display device that displays a document usage summary chart history based on historical tracking of actual usage and treatment of each document by individuals and groups on said organization chart.
|
1. A document repository management (DRM) system for an institution having a defined organization, said DRM system comprising: an input device for receiving a document access request; an electronically readable organization chart and organizational chart information including information identifying individuals on said organization chart; an electronic document repository containing accessible documents; a controller that: controls requested access to each document of said accessible documents in said electronic document repository; and maps to said electronically readable organization chart and said organizational chart information, each said requested access to said each document of said accessible documents; and a display device that displays a document usage summary chart history based on historical tracking of actual usage and treatment of each document by individuals and groups on said organization chart. 8. The DRM System of claim 1 , wherein said controller controls access to each document of said accessible documents based on a pre-authorization code for each individual based on membership in said electronically readable organization chart.
| 0.621875 |
8,849,812 | 1 | 6 |
1. A system, comprising: a processor configured to: determine a topic based on a user demand, wherein the determining of the topic comprises: determine frequencies of phrases based on an analysis of a search query log from a web site, a search query log from a search engine, or a combination thereof; compare the frequencies of the phrases to a predetermined threshold; determine at least one theme based on phrases having frequencies exceeding the predetermined threshold; sort the at least one theme based on common words in the phrases; cluster the at least one theme based on a clustering technique, the clustering technique being a min hash clustering or a n-squared clustering based on bi-grams; and determine the topic based on the clustered at least one theme; automatically generate content for the topic; and select the content that is contextually relevant for display within a corpus of content, wherein the content is optimized for the topic; wherein the corpus of content includes a web site, a user's social networking web page, content customized for mobile devices, content customized based on location awareness, or an electronic mail message; and wherein: in the event that the corpus of content includes the web site, content of the web site is different from other web pages of the website; in the event that the corpus of content includes a user's social networking web page, content of the user's social networking web page is different from another user's social networking web page; in the event that the corpus of content includes content customized for mobile devices, content of a mobile device is different from another mobile device; in the event that the corpus of content includes content customized based on location awareness, content of a location is different from another location; and in the event that the corpus of content includes the electronic mail message, the electronic mail message is different from another electronic mail message; and a memory coupled to the processor and configured to provide the processor with instructions.
|
1. A system, comprising: a processor configured to: determine a topic based on a user demand, wherein the determining of the topic comprises: determine frequencies of phrases based on an analysis of a search query log from a web site, a search query log from a search engine, or a combination thereof; compare the frequencies of the phrases to a predetermined threshold; determine at least one theme based on phrases having frequencies exceeding the predetermined threshold; sort the at least one theme based on common words in the phrases; cluster the at least one theme based on a clustering technique, the clustering technique being a min hash clustering or a n-squared clustering based on bi-grams; and determine the topic based on the clustered at least one theme; automatically generate content for the topic; and select the content that is contextually relevant for display within a corpus of content, wherein the content is optimized for the topic; wherein the corpus of content includes a web site, a user's social networking web page, content customized for mobile devices, content customized based on location awareness, or an electronic mail message; and wherein: in the event that the corpus of content includes the web site, content of the web site is different from other web pages of the website; in the event that the corpus of content includes a user's social networking web page, content of the user's social networking web page is different from another user's social networking web page; in the event that the corpus of content includes content customized for mobile devices, content of a mobile device is different from another mobile device; in the event that the corpus of content includes content customized based on location awareness, content of a location is different from another location; and in the event that the corpus of content includes the electronic mail message, the electronic mail message is different from another electronic mail message; and a memory coupled to the processor and configured to provide the processor with instructions. 6. The system recited in claim 1 , wherein select the content that is contextually relevant for display with the corpus of content further comprises determining a placement of the content for integration with a structure or organization of the corpus of content.
| 0.69746 |
10,068,359 | 1 | 4 |
1. An information processing device comprising: an image capturing device that optically captures an image; a display device that displays a translation image on a screen; an input device that receives an input of a user; and at least one processor that: controls the display device to display the image captured by the image capturing device; translates, into another language, a text string contained in the image captured by the image capturing device; generates the translation image which is an image showing a result of translation of the text string; controls the display device to display the translation image corresponding to the text string such that the translation image is superimposed on the text string and that the text string is hidden by the translation image; in response to the user selecting a portion of the translation image, switches between a display by the display device of the portion of the translation image so that a corresponding portion of the text string is hidden, and a non-display by the display device of the portion of the translation image so that the corresponding portion of the text string is not hidden; and controls the display device to display a GUI (graphical user interface) that receives the input of the user to control the processor to switch between the display and the non-display of the portion of the translation image.
|
1. An information processing device comprising: an image capturing device that optically captures an image; a display device that displays a translation image on a screen; an input device that receives an input of a user; and at least one processor that: controls the display device to display the image captured by the image capturing device; translates, into another language, a text string contained in the image captured by the image capturing device; generates the translation image which is an image showing a result of translation of the text string; controls the display device to display the translation image corresponding to the text string such that the translation image is superimposed on the text string and that the text string is hidden by the translation image; in response to the user selecting a portion of the translation image, switches between a display by the display device of the portion of the translation image so that a corresponding portion of the text string is hidden, and a non-display by the display device of the portion of the translation image so that the corresponding portion of the text string is not hidden; and controls the display device to display a GUI (graphical user interface) that receives the input of the user to control the processor to switch between the display and the non-display of the portion of the translation image. 4. The information processing device as set forth in claim 1 , wherein the at least one processor controls the display device to display an image in which the portion indicating the text string contained in the captured image has been underlined.
| 0.69403 |
10,042,915 | 6 | 9 |
6. A computer program product for assigning a direction of impact to an association between assets based on an impact of an event mapped to at least one of the assets, comprising a computer comprising at least one processor, one or more memories, one or more computer readable storage media, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by the computer to perform a method comprising: creating, by the computer, a first topic map meta-model that identifies assets and events in a topic map based index with instance ontology based on a topic map meta model that identifies assets and a topic map meta-model that identifies events, mapping assets to events through at least one association between at least one asset of the topic map meta-model that identifies assets and at least one event of the topic map meta-model that identifies events; assigning, by the computer, an identification in the first topic map meta-model to at least one association between at least one asset of the topic map meta-model that identifies assets and at least one event of the topic map meta-model that identifies events; creating, by the computer, a second topic map meta-model that identifies at least one association between at least one asset and at least one event in a topic map based index and instance ontology with the direction of impact of the event on an association in various scopes between assets based on an impact of the event on at least one of the assets of the association; in response to a new event being added to the topic map meta-model identifying events, the computer re-creating the first topic map meta-model for the new event and the second topic map meta-model, adjusting the direction of impact associated with the association in the first topic map meta-model, the re-created first map meta-model including a topic map based index and instance ontology for the new event and the adjusted direction if impact; and storing, by the computer, the re-created first topic map meta-model and the re-created second topic map meta-model into a repository.
|
6. A computer program product for assigning a direction of impact to an association between assets based on an impact of an event mapped to at least one of the assets, comprising a computer comprising at least one processor, one or more memories, one or more computer readable storage media, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by the computer to perform a method comprising: creating, by the computer, a first topic map meta-model that identifies assets and events in a topic map based index with instance ontology based on a topic map meta model that identifies assets and a topic map meta-model that identifies events, mapping assets to events through at least one association between at least one asset of the topic map meta-model that identifies assets and at least one event of the topic map meta-model that identifies events; assigning, by the computer, an identification in the first topic map meta-model to at least one association between at least one asset of the topic map meta-model that identifies assets and at least one event of the topic map meta-model that identifies events; creating, by the computer, a second topic map meta-model that identifies at least one association between at least one asset and at least one event in a topic map based index and instance ontology with the direction of impact of the event on an association in various scopes between assets based on an impact of the event on at least one of the assets of the association; in response to a new event being added to the topic map meta-model identifying events, the computer re-creating the first topic map meta-model for the new event and the second topic map meta-model, adjusting the direction of impact associated with the association in the first topic map meta-model, the re-created first map meta-model including a topic map based index and instance ontology for the new event and the adjusted direction if impact; and storing, by the computer, the re-created first topic map meta-model and the re-created second topic map meta-model into a repository. 9. The computer program product of claim 6 , wherein the direction of impact is stored in a data structure.
| 0.922125 |
9,953,087 | 1 | 11 |
1. A computer-implemented method comprising: receiving an indication of one or more topic inputs authored by a first user; analyzing the one or more topic inputs to identify a topic area associated with the one or more topic inputs; generating, with a computer processor, at least one topic feed that includes the one or more topic inputs, authored by the first user, and one or more additional topic inputs authored by a second user; distributing the at least one topic feed to a set of users; receiving user inputs, from one or more users in the set of users, through the at least one distributed topic feed; based on the received user inputs, determining a number of user interactions, by users in the set of users, that directly interact with the one or more topic inputs in the at least one topic feed authored by the first user; determining that the number of user interactions meets a threshold, wherein the threshold indicates a threshold number of user interactions that directly interact with the one or more additional topic inputs authored by the second user; based on the determination that the number of user interactions meets the threshold, generating a classification of the first user relative to the topic area; and based on the generated classification, providing an output indicating an association between the user and the topic area.
|
1. A computer-implemented method comprising: receiving an indication of one or more topic inputs authored by a first user; analyzing the one or more topic inputs to identify a topic area associated with the one or more topic inputs; generating, with a computer processor, at least one topic feed that includes the one or more topic inputs, authored by the first user, and one or more additional topic inputs authored by a second user; distributing the at least one topic feed to a set of users; receiving user inputs, from one or more users in the set of users, through the at least one distributed topic feed; based on the received user inputs, determining a number of user interactions, by users in the set of users, that directly interact with the one or more topic inputs in the at least one topic feed authored by the first user; determining that the number of user interactions meets a threshold, wherein the threshold indicates a threshold number of user interactions that directly interact with the one or more additional topic inputs authored by the second user; based on the determination that the number of user interactions meets the threshold, generating a classification of the first user relative to the topic area; and based on the generated classification, providing an output indicating an association between the user and the topic area. 11. The computer-implemented method of claim 1 , wherein the classification is generated based on receiving a follow interaction indication, indicative of a second user, of the set of users, electing to follow the first user.
| 0.799107 |
8,181,163 | 1 | 10 |
1. At a computer system, a method for synthesizing one or more code fragments in a software routine using one or more known inputs and corresponding expected outputs for portions of the software routine, the method comprising: an act of providing a software routine with one or more known inputs and corresponding one or more expected outputs for the software routine; an act of inferring software routine instructions based on the known inputs and corresponding expected outputs; and an act of synthesizing a correctly functioning code fragment based on the inferred instructions for use in the software routine.
|
1. At a computer system, a method for synthesizing one or more code fragments in a software routine using one or more known inputs and corresponding expected outputs for portions of the software routine, the method comprising: an act of providing a software routine with one or more known inputs and corresponding one or more expected outputs for the software routine; an act of inferring software routine instructions based on the known inputs and corresponding expected outputs; and an act of synthesizing a correctly functioning code fragment based on the inferred instructions for use in the software routine. 10. The method of claim 1 , wherein the known inputs and expected outputs are provided by a computer user.
| 0.823333 |
9,247,061 | 1 | 4 |
1. A method for determining an agent routing in a contact center, the method comprising: receiving, by a processor, an inquiry from a consumer; generating, by the processor, substantive content for one or more automatically generated answers that respond to the inquiry; analyzing the one or more automatically generated answers; and based on the analysis, determining the agent routing.
|
1. A method for determining an agent routing in a contact center, the method comprising: receiving, by a processor, an inquiry from a consumer; generating, by the processor, substantive content for one or more automatically generated answers that respond to the inquiry; analyzing the one or more automatically generated answers; and based on the analysis, determining the agent routing. 4. The method as defined in claim 1 , wherein analyzing the one or more automatically generated answers includes determining an answer complexity for each of the one or more automatically generated answers.
| 0.518692 |
8,176,049 | 11 | 14 |
11. A capture element, comprising: a processor; a memory configured to be accessed by the processor; an interface configured for receiving an object in a network environment, wherein a search query can be received and include a first regular expression, and wherein the first regular expression comprises a string according to one or more syntax rules, the first regular expression being mapped to a first attribute, the first attribute being included amongst a plurality of attributes provided in an attribute map, and wherein the plurality of attributes each represent respective regular expressions; and a parser configured to only parse the regular expressions related to attributes that have not been found in the object, wherein if a parsing activity identifies a match for the first regular expression in the object, then other regular expressions that contain the first attribute are not searched for the search query.
|
11. A capture element, comprising: a processor; a memory configured to be accessed by the processor; an interface configured for receiving an object in a network environment, wherein a search query can be received and include a first regular expression, and wherein the first regular expression comprises a string according to one or more syntax rules, the first regular expression being mapped to a first attribute, the first attribute being included amongst a plurality of attributes provided in an attribute map, and wherein the plurality of attributes each represent respective regular expressions; and a parser configured to only parse the regular expressions related to attributes that have not been found in the object, wherein if a parsing activity identifies a match for the first regular expression in the object, then other regular expressions that contain the first attribute are not searched for the search query. 14. The capture element of claim 11 , wherein an attribute index is used to represent the plurality of attributes, and wherein the attribute index is implemented as a bit vector having one bit position associated with each of the attributes.
| 0.760437 |
9,405,186 | 14 | 15 |
14. The program product of claim 10 , wherein in the case that the at least one relevancy criterion includes the printing difficulty, the plurality of clips includes a highest printing difficulty clip and a lowest printing difficulty clip, and the printing difficulty is calculated based on a critical dimension or a layout lithography difficulty estimator (LDE) of the clip.
|
14. The program product of claim 10 , wherein in the case that the at least one relevancy criterion includes the printing difficulty, the plurality of clips includes a highest printing difficulty clip and a lowest printing difficulty clip, and the printing difficulty is calculated based on a critical dimension or a layout lithography difficulty estimator (LDE) of the clip. 15. The program product of claim 14 , further comprising multiplying the relevancy score for each of the plurality of clips by a respective scaling factor, wherein the scaling factor is based on the printing difficulty of the corresponding clip or a probability distribution of printing difficulties.
| 0.5 |
9,051,069 | 15 | 16 |
15. The apparatus of claim 13 , wherein the central roller is rotatable using a motor to motivate the belt to move around the frame.
|
15. The apparatus of claim 13 , wherein the central roller is rotatable using a motor to motivate the belt to move around the frame. 16. The apparatus of claim 15 , wherein the belt is moveable around the frame to draw the document strap onto the document platform prior to the set of documents being placed on the document platform.
| 0.5 |
9,141,672 | 12 | 14 |
12. The medium of claim 11 , wherein the operations comprise assigning a score to the one or more query term optionalization rules that are specific to the particular query term based at least on the click count and the skip count.
|
12. The medium of claim 11 , wherein the operations comprise assigning a score to the one or more query term optionalization rules that are specific to the particular query term based at least on the click count and the skip count. 14. The medium of claim 12 , wherein the operations comprise: determining that the score assigned to the one or more query term optionalization rules that are specific to the particular query term does not satisfy a threshold; and removing the one or more query term optionalization rules that are specific to the particular query term from a set of query term optionalization rules that includes other query term optionalization rules that are specific to other query terms, the other query term optionalization rules indicating whether the other query terms should be made optional in revisions of search queries that include the other query terms, based on determining that the score assigned to the one or more query term optionalization rules that are specific to the particular query term does not satisfy the threshold.
| 0.5 |
8,435,038 | 1 | 8 |
1. A method for teaching a practical skill to a plurality of learners at geographically separate locations, comprising: receiving at a teacher's computer system, for each learner, a video feed generated by a camera at the learner's location, the video feed at least partially depicting both the learner and a subject on which the learner is demonstrating the practical skill; simultaneously displaying two or more of the video feeds on a display screen associated with the teacher's computer system; receiving and displaying at the teacher's computer system one or more private questions to the teacher from one or more learners, the private questions not being conveyed to the other learners unless authorized by the teacher; and allowing the teacher to select one of the learners for individualized instruction by selecting an indication of the corresponding displayed private question; wherein the private questions can be submitted by one or more selected learners via a text message, an audio or a video; wherein the teacher responds to the one or more selected learners by a text message, audio or video by establishing a private video or audio communication channel between the teacher's computer system and the selected learner; wherein the teacher broadcasts the text, audio or video messages to a group of the selected learners by allowing the communication channel to be non-private for the group of selected learners to receive the instruction provided by the teacher; wherein allowing the teacher to store the video feeds, annotating the stored video feeds and selectively transmit the annotated stored video feed to one or more selected learners.
|
1. A method for teaching a practical skill to a plurality of learners at geographically separate locations, comprising: receiving at a teacher's computer system, for each learner, a video feed generated by a camera at the learner's location, the video feed at least partially depicting both the learner and a subject on which the learner is demonstrating the practical skill; simultaneously displaying two or more of the video feeds on a display screen associated with the teacher's computer system; receiving and displaying at the teacher's computer system one or more private questions to the teacher from one or more learners, the private questions not being conveyed to the other learners unless authorized by the teacher; and allowing the teacher to select one of the learners for individualized instruction by selecting an indication of the corresponding displayed private question; wherein the private questions can be submitted by one or more selected learners via a text message, an audio or a video; wherein the teacher responds to the one or more selected learners by a text message, audio or video by establishing a private video or audio communication channel between the teacher's computer system and the selected learner; wherein the teacher broadcasts the text, audio or video messages to a group of the selected learners by allowing the communication channel to be non-private for the group of selected learners to receive the instruction provided by the teacher; wherein allowing the teacher to store the video feeds, annotating the stored video feeds and selectively transmit the annotated stored video feed to one or more selected learners. 8. The method of claim 1 , wherein the questions comprise text messages.
| 0.909774 |
8,707,261 | 1 | 5 |
1. A method for integrating a service into an application, the method comprising: receiving an application extensibility description for an application, the application extensibility description including a set of application extension points; receiving a service description for a service, the service description including a set of service elements; receiving a specification of an integration design comprising a plurality of atomic adaptation patterns to link particular service elements in the service description to particular application extension points in the application extensibility description, wherein the plurality of atomic adaptation patterns define a plurality of steps for integrating the service into a plurality of application layers of the application, the application layers comprising a presentation layer, a business process layer, a service layer, and a configuration layer, and wherein each atomic adaptation pattern comprises one or more ports coupled to particular service elements in the service description and one or more ports coupled to particular application extension points in the application extensibility description; generating, by a computing device, an integration description based on the integration design, wherein the integration description is used to execute integration of the application with the service; generating a query for a recommendation for connecting an application extension point in the application extensibility description to a service element in the service description based on a context, the context being a state of the adaption/extension of the service into the application; searching a semantic model to determine a search result indicating a recommended connection of an application extension point in the application extensibility description to a service element in the service description based on the query; and changing the integration design based on the recommended connection.
|
1. A method for integrating a service into an application, the method comprising: receiving an application extensibility description for an application, the application extensibility description including a set of application extension points; receiving a service description for a service, the service description including a set of service elements; receiving a specification of an integration design comprising a plurality of atomic adaptation patterns to link particular service elements in the service description to particular application extension points in the application extensibility description, wherein the plurality of atomic adaptation patterns define a plurality of steps for integrating the service into a plurality of application layers of the application, the application layers comprising a presentation layer, a business process layer, a service layer, and a configuration layer, and wherein each atomic adaptation pattern comprises one or more ports coupled to particular service elements in the service description and one or more ports coupled to particular application extension points in the application extensibility description; generating, by a computing device, an integration description based on the integration design, wherein the integration description is used to execute integration of the application with the service; generating a query for a recommendation for connecting an application extension point in the application extensibility description to a service element in the service description based on a context, the context being a state of the adaption/extension of the service into the application; searching a semantic model to determine a search result indicating a recommended connection of an application extension point in the application extensibility description to a service element in the service description based on the query; and changing the integration design based on the recommended connection. 5. The method of claim 1 , further comprising: receiving a query for a recommendation of a specification of an integration design; and searching a semantic model to determine a search result indicating a recommended specification of an integration design, the search result determined based on the application extensibility description and the service description.
| 0.532134 |
9,208,185 | 15 | 18 |
15. A system for processing a search query, comprising: a memory; at least one processor coupled to the memory and configured to: receive a search query containing a plurality of terms; combine at least some consecutive terms in the search query to create one or more biwords; look up at least one term of the plurality of terms and at least one biword of the one or more biwords in a search index for identifying sections of documents containing the at least one term or at least one biword, or both; generate a content score for each of the identified sections based at least in part on a number of the terms and biwords found in the sections of each document, wherein the biwords are given a higher priority than matched terms, wherein the priority affects the content score; and select and output an indicator of at least one of the sections, or portion thereof, based at least in part on the content score; wherein the generating of the content score includes: counting a first total number of different terms and different biwords found in a first paragraph of the respective section, the first paragraph containing a greatest total number of different matching terms and different matching biwords among all paragraphs in the respective section; counting a second total number of different terms and different biwords found in all paragraphs of the respective section; and adding the first total to the second total to obtain the content score.
|
15. A system for processing a search query, comprising: a memory; at least one processor coupled to the memory and configured to: receive a search query containing a plurality of terms; combine at least some consecutive terms in the search query to create one or more biwords; look up at least one term of the plurality of terms and at least one biword of the one or more biwords in a search index for identifying sections of documents containing the at least one term or at least one biword, or both; generate a content score for each of the identified sections based at least in part on a number of the terms and biwords found in the sections of each document, wherein the biwords are given a higher priority than matched terms, wherein the priority affects the content score; and select and output an indicator of at least one of the sections, or portion thereof, based at least in part on the content score; wherein the generating of the content score includes: counting a first total number of different terms and different biwords found in a first paragraph of the respective section, the first paragraph containing a greatest total number of different matching terms and different matching biwords among all paragraphs in the respective section; counting a second total number of different terms and different biwords found in all paragraphs of the respective section; and adding the first total to the second total to obtain the content score. 18. The system as recited in claim 15 , wherein the indicator of the at least one of the sections, or portion thereof, is selected for output further based at least in part on types of the documents.
| 0.836349 |
8,671,341 | 1 | 8 |
1. A method for identifying claims associated with electronic text comprising: accessing electronic text; identifying linguistic content associated with the electronic text wherein the linguistic content includes a plurality of linguistic features; generating a linguistic structure based on the linguistic content identified, wherein the linguistic structure identifies at least a relationship between a first two or more linguistic features of the plurality of linguistic features; comparing the linguistic structure to a claim template, wherein the claim template identifies the same relationship between a second two or more linguistic features, each of the second two or more linguistic features corresponding to a linguistic feature of the first two or more linguistic features; in response to a determination that each of the first two or more linguistic features is a hyponym of the corresponding linguistic feature in the second two or more linguistic features, identifying a claim within the electronic text.
|
1. A method for identifying claims associated with electronic text comprising: accessing electronic text; identifying linguistic content associated with the electronic text wherein the linguistic content includes a plurality of linguistic features; generating a linguistic structure based on the linguistic content identified, wherein the linguistic structure identifies at least a relationship between a first two or more linguistic features of the plurality of linguistic features; comparing the linguistic structure to a claim template, wherein the claim template identifies the same relationship between a second two or more linguistic features, each of the second two or more linguistic features corresponding to a linguistic feature of the first two or more linguistic features; in response to a determination that each of the first two or more linguistic features is a hyponym of the corresponding linguistic feature in the second two or more linguistic features, identifying a claim within the electronic text. 8. The method recited in claim 1 , wherein the claim template comprises a structured claim template.
| 0.673203 |
9,130,651 | 1 | 68 |
1. An energy harvesting communication device configured with on chip signal booster apparatus; comprising: at least a communication apparatus; at least an antenna apparatus in association with an input and/or output device; at least a processor in communication with at least one of: said at least a communication apparatus; said at least an antenna apparatus; a charge platform in association with at least charging circuit; at least an interactive media in association with at least an interactive interface; an output device; and at least a sensor apparatus embedded in silicon substrate and etched and/or fused in nano-fiber and/or microfiber material, said at least a sensor apparatus in association with said at least a communication apparatus to provide at least one of an effective energy harvesting medium, communication clarity, communication medium, detection selectivity medium, and detection platform.
|
1. An energy harvesting communication device configured with on chip signal booster apparatus; comprising: at least a communication apparatus; at least an antenna apparatus in association with an input and/or output device; at least a processor in communication with at least one of: said at least a communication apparatus; said at least an antenna apparatus; a charge platform in association with at least charging circuit; at least an interactive media in association with at least an interactive interface; an output device; and at least a sensor apparatus embedded in silicon substrate and etched and/or fused in nano-fiber and/or microfiber material, said at least a sensor apparatus in association with said at least a communication apparatus to provide at least one of an effective energy harvesting medium, communication clarity, communication medium, detection selectivity medium, and detection platform. 68. The energy harvesting communication device of claim 1 , wherein said antenna apparatus further configured for at least one of: generating at least downlink signals; generating at least overlapping frequencies; receiving at least uplink signals; receiving at least communication content; providing at least a distributed network.
| 0.906846 |
5,499,108 | 36 | 37 |
36. A system according to claim 32 wherein said computer displays a visual representation of said image data generated in response to said placement, establishes which option has been selected by the user, and processes said image data in accordance with the option selected by the user.
|
36. A system according to claim 32 wherein said computer displays a visual representation of said image data generated in response to said placement, establishes which option has been selected by the user, and processes said image data in accordance with the option selected by the user. 37. A system according to claim 36 wherein said computer displays said visual representation immediately upon generation of image data by said scanner.
| 0.5 |
9,158,757 | 11 | 16 |
11. A non-transitory computer-readable medium having computer-executable instructions for use in a continuous stroke system having a virtual keyboard with an integrated correction display, comprising: instructions for receiving a portion of a first part of a continuous stroke which has been input into a virtual keyboard, wherein the first part of the continuous stroke corresponds to locations, on the virtual keyboard, of multiple letters of the beginning of a word in sequence, without indicating a last letter of the word; and wherein the portion of the first part of the continuous stroke corresponds to one or more initial letters that comprise less than all the letters of the word; instructions for determining, while the first part of the continuous stroke is being received and before the last letter corresponding to the first part of the continuous stroke has been indicated, a matching set of word patterns that at least partially match the first part of the continuous stroke, wherein the determining is performed, at least in part, by comparing the received portion of the first part of the continuous stroke with an initial portion of multiple known word patterns which correspond to multiple known words; instructions for generating, from the matching set of word patterns, multiple known words which correspond to the received portion of the first part of the continuous stroke; instructions for displaying, in response to a trigger event, at least one of the multiple known words on the integrated correction display, integrated with the virtual keyboard, before the continuous stroke has been completed, wherein the trigger event is based on a comparison between speed information concerning a current rate of movement of the continuous stroke and a threshold speed value; and instructions for updating the received portion of the first part of the continuous stroke with a second part of the continuous stroke which has been input into the virtual keyboard before the last letter corresponding to the first part of the continuous stroke has been indicated.
|
11. A non-transitory computer-readable medium having computer-executable instructions for use in a continuous stroke system having a virtual keyboard with an integrated correction display, comprising: instructions for receiving a portion of a first part of a continuous stroke which has been input into a virtual keyboard, wherein the first part of the continuous stroke corresponds to locations, on the virtual keyboard, of multiple letters of the beginning of a word in sequence, without indicating a last letter of the word; and wherein the portion of the first part of the continuous stroke corresponds to one or more initial letters that comprise less than all the letters of the word; instructions for determining, while the first part of the continuous stroke is being received and before the last letter corresponding to the first part of the continuous stroke has been indicated, a matching set of word patterns that at least partially match the first part of the continuous stroke, wherein the determining is performed, at least in part, by comparing the received portion of the first part of the continuous stroke with an initial portion of multiple known word patterns which correspond to multiple known words; instructions for generating, from the matching set of word patterns, multiple known words which correspond to the received portion of the first part of the continuous stroke; instructions for displaying, in response to a trigger event, at least one of the multiple known words on the integrated correction display, integrated with the virtual keyboard, before the continuous stroke has been completed, wherein the trigger event is based on a comparison between speed information concerning a current rate of movement of the continuous stroke and a threshold speed value; and instructions for updating the received portion of the first part of the continuous stroke with a second part of the continuous stroke which has been input into the virtual keyboard before the last letter corresponding to the first part of the continuous stroke has been indicated. 16. The non-transitory computer-readable medium of claim 11 , wherein the computer-readable medium is integrated into one of: a computer, a PDA, a cellular phone, a smartphone, a tablet PC, a mobile communications device, or a projection device having a touch-screen.
| 0.884615 |
4,613,985 | 1 | 3 |
1. A synthesizer comprising: central processor means for receiving word codes or melody program codes and for outputting signals controlling said synthesizer; memory means for storing data representing sequences of sound synthesis for each of a plurality of words and melodies which may be synthesized by said synthesizer; word generator means for providing audible indications of words in the form of synthesized sounds; and melody generator means for providing audible indications of melodies in the form of synthesized sounds, means responsive to said central processor means for fetching first data representing the sequence of sound synthesis of at least one word from said memory means and for providing said first data to said word generator means; and means responsive to said central processor means for fetching second data representing the sequence of sound synthesis of at least one melody from said memory means and for providing said second data to said melody generator means.
|
1. A synthesizer comprising: central processor means for receiving word codes or melody program codes and for outputting signals controlling said synthesizer; memory means for storing data representing sequences of sound synthesis for each of a plurality of words and melodies which may be synthesized by said synthesizer; word generator means for providing audible indications of words in the form of synthesized sounds; and melody generator means for providing audible indications of melodies in the form of synthesized sounds, means responsive to said central processor means for fetching first data representing the sequence of sound synthesis of at least one word from said memory means and for providing said first data to said word generator means; and means responsive to said central processor means for fetching second data representing the sequence of sound synthesis of at least one melody from said memory means and for providing said second data to said melody generator means. 3. A synthesizer as defined in claim 1 wherein said memory means stores pitch data and duration data for generation of melodies.
| 0.525926 |
8,271,453 | 17 | 21 |
17. A system comprising: one or more computers; and a computer-readable storage device having stored thereon instructions that, when executed by the one or more computers, cause the one or more computers to perform operations comprising: receiving textual input; processing the textual input to produce a first output comprising first keys, wherein each first key is an ngram occurring in the textual input; processing the first output to produce a second output comprising second keys and associated second values, wherein each second key is an anchor extracted from at least one of the first keys, wherein each anchor is defined by a beginning portion and an ending portion of a respective first key ngram, the beginning portion and ending portion being separated by a middle portion of the respective first key ngram, and wherein each second value is a set of middle portions associated with each distinct anchor; and processing the second output to produce a third output comprising third keys and associated third values, wherein each third key is a potential paraphrase pair identified from a second value set of middle portions, and each third value is a set of anchors associated with the potential paraphrase pair.
|
17. A system comprising: one or more computers; and a computer-readable storage device having stored thereon instructions that, when executed by the one or more computers, cause the one or more computers to perform operations comprising: receiving textual input; processing the textual input to produce a first output comprising first keys, wherein each first key is an ngram occurring in the textual input; processing the first output to produce a second output comprising second keys and associated second values, wherein each second key is an anchor extracted from at least one of the first keys, wherein each anchor is defined by a beginning portion and an ending portion of a respective first key ngram, the beginning portion and ending portion being separated by a middle portion of the respective first key ngram, and wherein each second value is a set of middle portions associated with each distinct anchor; and processing the second output to produce a third output comprising third keys and associated third values, wherein each third key is a potential paraphrase pair identified from a second value set of middle portions, and each third value is a set of anchors associated with the potential paraphrase pair. 21. The system of claim 17 , wherein the processing steps are performed using a distributed architecture of multiple computers.
| 0.80094 |
7,747,427 | 5 | 8 |
5. The method according to claim 4 , wherein step (a) comprises the steps of: (a1) inputting a large document corpus constructed from documents written in a source language, dividing the corpus into sentences, and classifying terms in the divided sentences into tokens; (a2) analyzing morphemes and tagging all parts of speech (POSs) that are allowable for each token; (a3) performing statistical POS tagging assigning a specific POS to each word using predetermined word/POS/context probability data and word probability data, and constructing a specific corpus to which the specific POS is assigned; and (a4) extracting a technical term from the specific corpus.
|
5. The method according to claim 4 , wherein step (a) comprises the steps of: (a1) inputting a large document corpus constructed from documents written in a source language, dividing the corpus into sentences, and classifying terms in the divided sentences into tokens; (a2) analyzing morphemes and tagging all parts of speech (POSs) that are allowable for each token; (a3) performing statistical POS tagging assigning a specific POS to each word using predetermined word/POS/context probability data and word probability data, and constructing a specific corpus to which the specific POS is assigned; and (a4) extracting a technical term from the specific corpus. 8. The method according to claim 5 , wherein step (a4) is performed by satisfying at least one of the following conditions: Condition 1) unknown word: word which is not be found in a general domain dictionary; or Condition 2) w i , word satisfying <Formula 1>: ∑ j = 1 k abs ( f ( w i , t ij ) f ( w i ) - f ′ ( w i , t ij ) f ′ ( w i ) ) ≥ α or max j = 1 k abs ( f ( w i , t ij ) f ( w i ) - f ′ ( w i , t ij ) f ′ ( w i ) ) ≥ β < Formula 1 > wherein, f(w i ) denotes total frequency of word w i in a general domain, f(w i , t ij ) denotes frequency with which word w i is represented as POS t ij in a general domain, f′(w i ) denotes total frequency of word w i in a corresponding domain, f′(w i , t ij ) denotes frequency with which word w i is represented as POS t ij in a corresponding domain, α denotes total sum of threshold values, and β denotes maximum threshold value.
| 0.5 |
10,031,964 | 6 | 7 |
6. A computer system to identify at least one contact associated with a user and an online communication network, the computer system comprising: one or more processors, one or more computer-readable memories, one or more computer-readable tangible storage devices, and program instructions stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, wherein the computer system is capable of performing a method comprising: receiving, on a first computer, at least one search term or a social media post entered by the user via a graphical user interface associated with a second computer; performing text analytics on the received at least one search term or the social media post to determine at least one subject; identifying a first plurality of contacts associated with a profile of the user and a first plurality of posts and comments related to the user and a second plurality of contacts associated with a second plurality of posts and comments related to the identified first plurality of contacts, wherein the user and the first plurality of contacts and the second plurality of contacts are associated with the online communication network, and wherein the profile of the user does not include the second plurality of contacts; performing text analytics on a plurality of communications associated with the identified first plurality of contacts and the identified second plurality of contacts to determine a plurality of context information, wherein performing text analytics on the plurality of communications further comprises: applying at least one electronic natural language processing (NLP) technique to the at least one search term, the social media post, and the plurality of communications associated with the identified first plurality of contacts and the identified second plurality of contacts; determining a plurality of annotations associated with the plurality of communications; and storing the determined plurality of annotations in an online repository; comparing the at least one determined subject to the determined plurality of context information, wherein comparing the at least one determined subject to the plurality of communications associated with the identified first plurality of contacts and the identified second plurality of contacts further comprises: applying an electronic analytic analysis to a plurality of communications retrieved from the user; and applying the electronic analytic analysis to a plurality of communications retrieved from the identified first plurality of contacts and the identified second plurality of contacts, wherein applying the electronic analysis comprises simultaneously searching multiple online dictionaries and an online parsing rules repository; identifying at least one contact within the identified first plurality of contacts or the identified second plurality of contacts based on the comparing, wherein the identified at least one contact meets a greatest strength of relationship criteria to the user and a plurality of communications written by the identified at least one contact is determined to have a highest score for matching the at least one determined subject within the plurality of communications, and wherein the identified at least one contact is associated with the profile of the user or at least one profile included the first plurality of contacts; and displaying the identified at least one contact along with an identified plurality of information and comments related to the received at least one search term or the social media post and related to the identified at least one contact.
|
6. A computer system to identify at least one contact associated with a user and an online communication network, the computer system comprising: one or more processors, one or more computer-readable memories, one or more computer-readable tangible storage devices, and program instructions stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, wherein the computer system is capable of performing a method comprising: receiving, on a first computer, at least one search term or a social media post entered by the user via a graphical user interface associated with a second computer; performing text analytics on the received at least one search term or the social media post to determine at least one subject; identifying a first plurality of contacts associated with a profile of the user and a first plurality of posts and comments related to the user and a second plurality of contacts associated with a second plurality of posts and comments related to the identified first plurality of contacts, wherein the user and the first plurality of contacts and the second plurality of contacts are associated with the online communication network, and wherein the profile of the user does not include the second plurality of contacts; performing text analytics on a plurality of communications associated with the identified first plurality of contacts and the identified second plurality of contacts to determine a plurality of context information, wherein performing text analytics on the plurality of communications further comprises: applying at least one electronic natural language processing (NLP) technique to the at least one search term, the social media post, and the plurality of communications associated with the identified first plurality of contacts and the identified second plurality of contacts; determining a plurality of annotations associated with the plurality of communications; and storing the determined plurality of annotations in an online repository; comparing the at least one determined subject to the determined plurality of context information, wherein comparing the at least one determined subject to the plurality of communications associated with the identified first plurality of contacts and the identified second plurality of contacts further comprises: applying an electronic analytic analysis to a plurality of communications retrieved from the user; and applying the electronic analytic analysis to a plurality of communications retrieved from the identified first plurality of contacts and the identified second plurality of contacts, wherein applying the electronic analysis comprises simultaneously searching multiple online dictionaries and an online parsing rules repository; identifying at least one contact within the identified first plurality of contacts or the identified second plurality of contacts based on the comparing, wherein the identified at least one contact meets a greatest strength of relationship criteria to the user and a plurality of communications written by the identified at least one contact is determined to have a highest score for matching the at least one determined subject within the plurality of communications, and wherein the identified at least one contact is associated with the profile of the user or at least one profile included the first plurality of contacts; and displaying the identified at least one contact along with an identified plurality of information and comments related to the received at least one search term or the social media post and related to the identified at least one contact. 7. The computer system of claim 6 , wherein the online communication network is selected from a group consisting of email, instant message (IM), short message service (SMS), social networking, and WIKI.
| 0.5 |
8,316,353 | 12 | 13 |
12. The program product of claim 9 , wherein said method further comprises: receiving, by said computing system, a second input file that includes a second stack trace provided in response to a detection of a second problem, wherein said second stack trace includes multiple sets of function names included in multiple sets of contiguous lines included in said second stack trace; determining, by said computing system, that no set of function names of said multiple sets of function names match any set of keywords of said plurality of sets of keywords; determining, by said computing system, that a problem code in said second input file indicates that a new symptom rule can be generated for said second problem; identifying, by said computing system and based on said problem code, a first new set of function names of said multiple sets of function names, wherein said first new set of function names is included in a first set of contiguous lines of said multiple sets of contiguous lines, and wherein said first new set of function names indicates a first symptom of said second problem; and storing, by said computing system, said first new set of function names in a first new symptom rule in said symptom catalog.
|
12. The program product of claim 9 , wherein said method further comprises: receiving, by said computing system, a second input file that includes a second stack trace provided in response to a detection of a second problem, wherein said second stack trace includes multiple sets of function names included in multiple sets of contiguous lines included in said second stack trace; determining, by said computing system, that no set of function names of said multiple sets of function names match any set of keywords of said plurality of sets of keywords; determining, by said computing system, that a problem code in said second input file indicates that a new symptom rule can be generated for said second problem; identifying, by said computing system and based on said problem code, a first new set of function names of said multiple sets of function names, wherein said first new set of function names is included in a first set of contiguous lines of said multiple sets of contiguous lines, and wherein said first new set of function names indicates a first symptom of said second problem; and storing, by said computing system, said first new set of function names in a first new symptom rule in said symptom catalog. 13. The program product of claim 12 , wherein said receiving said second input file includes receiving a log file derived from a system dump of an Advanced Interactive eXecutive (AIX) operating system, wherein said determining that said problem code indicates that a new symptom rule can be generated includes determining that said log file includes a light-emitting diode (LED) code provided by a kernel of said AIX operating system, and wherein said problem code is said LED code.
| 0.5 |
9,477,654 | 2 | 4 |
2. The method of claim 1 , wherein the word sequence is associated with a first linguistic item, and wherein the concept vector comprises a first concept vector, and wherein the method further comprises: performing said forming, transforming, generating, and projecting with respect to at least a second linguistic item, to produce a second concept vector; and comparing the first concept vector with the second concept vector to generate a similarity measure.
|
2. The method of claim 1 , wherein the word sequence is associated with a first linguistic item, and wherein the concept vector comprises a first concept vector, and wherein the method further comprises: performing said forming, transforming, generating, and projecting with respect to at least a second linguistic item, to produce a second concept vector; and comparing the first concept vector with the second concept vector to generate a similarity measure. 4. The method of claim 2 , wherein the first linguistic item corresponds to a query and the second linguistic item corresponds to a keyword associated with an advertising system.
| 0.684397 |
6,098,033 | 6 | 7 |
6. A method in a computer system for identifying path patterns indicating similarity between word pairs connected by these path patterns, the method comprising: (a) for a each of a multiplicity of pairs of words known to be synonyms: (1) identifying the most salient semantic relation paths connecting the words of the pair, each identified semantic relation comprising an ordered series of semantic relations, each semantic relation having a relation type; and (2) for each identified path: (A) extracting from the path a relation type path pattern comprising the relation types of the relations of the path; and (B) augmenting an indication of the likelihood that an arbitrary pair of words connected by a path having the extracted relation type path pattern have similar meanings, such that, after the performance of the method, the likelihood indications reflect the likelihood that an arbitrary pair of words connected by a path having the relation type path pattern have similar meanings.
|
6. A method in a computer system for identifying path patterns indicating similarity between word pairs connected by these path patterns, the method comprising: (a) for a each of a multiplicity of pairs of words known to be synonyms: (1) identifying the most salient semantic relation paths connecting the words of the pair, each identified semantic relation comprising an ordered series of semantic relations, each semantic relation having a relation type; and (2) for each identified path: (A) extracting from the path a relation type path pattern comprising the relation types of the relations of the path; and (B) augmenting an indication of the likelihood that an arbitrary pair of words connected by a path having the extracted relation type path pattern have similar meanings, such that, after the performance of the method, the likelihood indications reflect the likelihood that an arbitrary pair of words connected by a path having the relation type path pattern have similar meanings. 7. The method of claim 6, further comprising: (b) for a each of a multiplicity of pairs of words known to not be synonyms: (1) identifying the most salient semantic relation paths connecting the words of the pair, each identified semantic relation comprising an ordered series of semantic relations, each semantic relation having a relation type; and (2) for each identified path: (A) extracting from the path a relation type path pattern comprising the relation types of the relations of the path; and (B) reducing the indication of the likelihood that an arbitrary pair of words connected by a path having the relation type path pattern have similar meanings.
| 0.5 |
8,751,557 | 8 | 10 |
8. The method of claim 5 , wherein said subtracting further comprises: loading a most significant bits portion of said first binary string to a first register comprising a fixed length register; loading a most significant bits portion of said second binary string to a second register comprising a fixed length register; and subtracting contents of said first register from contents of said second register.
|
8. The method of claim 5 , wherein said subtracting further comprises: loading a most significant bits portion of said first binary string to a first register comprising a fixed length register; loading a most significant bits portion of said second binary string to a second register comprising a fixed length register; and subtracting contents of said first register from contents of said second register. 10. The method of claim 8 , and further comprising in response to a result of said subtracting said contents of said first register from said contents of said second register: loading a next most significant bits portion of said first binary string to said first register; loading a next most significant bits portion of said second binary string to said second register; and subtracting contents of said third register from contents of said fourth register.
| 0.5 |
9,586,091 | 6 | 8 |
6. The method of claim 1 , further comprising the step of: using a sensor to measure at least one of: force applied by the primary user to the primary user interface; a physiological measure of the primary user; acceleration of the primary user interface; and motion of the primary user interface.
|
6. The method of claim 1 , further comprising the step of: using a sensor to measure at least one of: force applied by the primary user to the primary user interface; a physiological measure of the primary user; acceleration of the primary user interface; and motion of the primary user interface. 8. The method of claim 6 , further comprising the step of: using said electric motor to increase the resistive force when said sensor outputs data indicating positive acceleration of said primary user interface.
| 0.560417 |
7,818,313 | 34 | 40 |
34. In a continuous computation system, a method for distributing processing of a query over a cluster of servers, where the query subscribes to at least one input data stream, the method comprising: determining whether the query includes an aggregator function by analyzing the semantics of the query; and in response to determining that the query includes an aggregator function: installing identical logic for processing the query on two of more servers in the cluster, wherein such logic is installed prior to processing input messages; continuously running the query logic on such servers; receiving, at the continuous computation system, streaming input messages on one or more input data streams, wherein input messages can arrive continuously; distributing the input messages among such servers, wherein input messages are distributed while the query is running; and generating partial outputs for the aggregator function on such servers; and combining such partial outputs.
|
34. In a continuous computation system, a method for distributing processing of a query over a cluster of servers, where the query subscribes to at least one input data stream, the method comprising: determining whether the query includes an aggregator function by analyzing the semantics of the query; and in response to determining that the query includes an aggregator function: installing identical logic for processing the query on two of more servers in the cluster, wherein such logic is installed prior to processing input messages; continuously running the query logic on such servers; receiving, at the continuous computation system, streaming input messages on one or more input data streams, wherein input messages can arrive continuously; distributing the input messages among such servers, wherein input messages are distributed while the query is running; and generating partial outputs for the aggregator function on such servers; and combining such partial outputs. 40. The method of claim 34 , where, in generating the partial outputs, the aggregator function operates on the input messages in accordance with a time-based window.
| 0.5 |
6,122,614 | 22 | 23 |
22. The invention according to claim 1 wherein said audio player is implemented by a general purpose computer.
|
22. The invention according to claim 1 wherein said audio player is implemented by a general purpose computer. 23. The invention according to claim 22 wherein said general purpose computer implementing said audio player is remotely located, said audio player is operably connected to said voice dictation file receiving means and said automatic speech conversion means by a computer network.
| 0.5 |
8,270,953 | 19 | 20 |
19. A non-transitory data processor readable medium storing data processor code that when loaded into a device adapts the device to perform a method of automatically drafting blog entries, the data processor readable medium comprising code for: detecting a triggering event for generating a draft blog entry based on a predetermined number of webpages being visited, the predetermined number of webpages being configurable according to user preference; and upon detection of the triggering event, automatically generating the draft blog entry in a predetermined format.
|
19. A non-transitory data processor readable medium storing data processor code that when loaded into a device adapts the device to perform a method of automatically drafting blog entries, the data processor readable medium comprising code for: detecting a triggering event for generating a draft blog entry based on a predetermined number of webpages being visited, the predetermined number of webpages being configurable according to user preference; and upon detection of the triggering event, automatically generating the draft blog entry in a predetermined format. 20. The data processor readable medium of claim 19 , further comprising: obtaining and storing GPS coordinates, the GPS coordinates being stored at least within the draft blog entry; and generating a blogging tour map based on the GPS coordinates within the draft blog entry, the blogging tour map comprising a plurality of nodes, each node representing an automatically generated blog entry, and where each node is situated on at a location on the geographical map based on the GPS coordinates.
| 0.5 |
9,548,048 | 11 | 18 |
11. A computer-implemented method for automatic training a speech recognition computer system, the method comprising: under the control of one or more computer systems configured with executable instructions, receiving video data of a video recording of a user appearing to speak a sequence of words, the video data including time stamp information associated with each frame; receiving audio data of an audio recording of the user speaking the sequence of words, the audio data including time stamp information associated with each audio segment; segmenting the audio recording, the segmenting including: a) parsing the audio recording into word-segmented audio data; b) parsing the word-segmented audio data into phoneme-segmented audio data; and c) detecting a number of phonemes in the phoneme-segmented audio data; synchronizing a time of the video recording with a time of the audio recording based at least in part of the time stamp of each audio segment and the time stamp of each frame; clustering the video data and the audio data into a set of clusters based at least in part on the number of phonemes detected in the phoneme-segmented audio data; identifying a total number of entries in each cluster of the set of clusters; determining a probability estimation of phoneme classification for each cluster in the set of clusters; comparing the probability estimation for each cluster of the set of clusters to a pre-selected phoneme model, wherein each cluster is determined, based at least in part on the probability estimation, to be associated with a certain phoneme; and updating a phoneme model for the user for use in the automatic training of a speech recognition system.
|
11. A computer-implemented method for automatic training a speech recognition computer system, the method comprising: under the control of one or more computer systems configured with executable instructions, receiving video data of a video recording of a user appearing to speak a sequence of words, the video data including time stamp information associated with each frame; receiving audio data of an audio recording of the user speaking the sequence of words, the audio data including time stamp information associated with each audio segment; segmenting the audio recording, the segmenting including: a) parsing the audio recording into word-segmented audio data; b) parsing the word-segmented audio data into phoneme-segmented audio data; and c) detecting a number of phonemes in the phoneme-segmented audio data; synchronizing a time of the video recording with a time of the audio recording based at least in part of the time stamp of each audio segment and the time stamp of each frame; clustering the video data and the audio data into a set of clusters based at least in part on the number of phonemes detected in the phoneme-segmented audio data; identifying a total number of entries in each cluster of the set of clusters; determining a probability estimation of phoneme classification for each cluster in the set of clusters; comparing the probability estimation for each cluster of the set of clusters to a pre-selected phoneme model, wherein each cluster is determined, based at least in part on the probability estimation, to be associated with a certain phoneme; and updating a phoneme model for the user for use in the automatic training of a speech recognition system. 18. The computer-implemented method of claim 11 , further comprising: comparing a first recordation time of a first user action with a first media time of the first user action, wherein the first recordation time indicates when the first user action occurred and wherein the first media time indicates a first time marking of first media having recorded thereon a first representation of the first user action; comparing a second recordation time of a second user action with a second media time of the second user action, wherein the second recordation time indicates when the second user action occurred and wherein the second media time indicates a second time marking of second media having recorded thereon a second representation of the second user action; scaling the video or the audio based on differences in comparing the first recordation time with the first media time and in comparing the second recordation time with the second media time; and aligning the video and the audio for use in modeling the audio and the video into a speech recognition model.
| 0.5 |
9,213,682 | 1 | 2 |
1. A business document auditing device comprising: a receiver configured to receive: a set of universal presentation rules comprising one or more parameters, said universal presentation rules configured to override all other presentation rules, wherein said universal presentation rules are enforced, irrespective of a user's wishes, across substantially every business document of the user, wherein the universal presentation rules comprise: page word count rules which limit the total word count on each page of each business document of the user; bullet point word count rules which limit the total word count on each bullet point included on each business document of the user; line count rules which limit the total number of lines on each page of each business document of the user; color rules which limit the palette of colors used on each page of each business document of the user; and density rules which limit the amount of white space on each page of each business document of the user; and a set of customized presentation rules comprising one or more parameters, said customized presentation rules customized by the user, wherein said customized presentation rules allow the user to enforce the customized presentation rules on a single business document, wherein the customized presentation rules are included on a displayable audit panel, wherein the displayable audit panel is viewable adjacent to the business document; a memory configured to store: execution instructions; one or more business documents; the set of universal presentation rules; and the set of customized presentation rules; and a processor coupled with the memory, the processor configured to execute the instructions, the instructions configured to cause the processor to: compare a parameter of an element of a business document of the one or more business documents to a first parameter of the universal presentation rules, wherein, when the parameter of the element of the business document is a non-compliant parameter, the processor is further configured to conform the element of the business document to the first parameter of the universal presentation rules; and compare the universal presentation rules to the customized presentation rules, wherein: when the universal presentation rules are in conflict with the customized presentation rules, the processor is further configured to cause the universal presentation rules to override the customized presentation rules; and when the universal presentation rules are not in conflict with the customized presentation rules, the processor is further configured to: compare the parameter of the element of the business document to a second parameter of the customized presentation rules, and cause the processor to, when the parameter of the element of the business document is a non-compliant parameter, present an option to the user to conform the element of the business document to the second parameter of the customized presentation rules.
|
1. A business document auditing device comprising: a receiver configured to receive: a set of universal presentation rules comprising one or more parameters, said universal presentation rules configured to override all other presentation rules, wherein said universal presentation rules are enforced, irrespective of a user's wishes, across substantially every business document of the user, wherein the universal presentation rules comprise: page word count rules which limit the total word count on each page of each business document of the user; bullet point word count rules which limit the total word count on each bullet point included on each business document of the user; line count rules which limit the total number of lines on each page of each business document of the user; color rules which limit the palette of colors used on each page of each business document of the user; and density rules which limit the amount of white space on each page of each business document of the user; and a set of customized presentation rules comprising one or more parameters, said customized presentation rules customized by the user, wherein said customized presentation rules allow the user to enforce the customized presentation rules on a single business document, wherein the customized presentation rules are included on a displayable audit panel, wherein the displayable audit panel is viewable adjacent to the business document; a memory configured to store: execution instructions; one or more business documents; the set of universal presentation rules; and the set of customized presentation rules; and a processor coupled with the memory, the processor configured to execute the instructions, the instructions configured to cause the processor to: compare a parameter of an element of a business document of the one or more business documents to a first parameter of the universal presentation rules, wherein, when the parameter of the element of the business document is a non-compliant parameter, the processor is further configured to conform the element of the business document to the first parameter of the universal presentation rules; and compare the universal presentation rules to the customized presentation rules, wherein: when the universal presentation rules are in conflict with the customized presentation rules, the processor is further configured to cause the universal presentation rules to override the customized presentation rules; and when the universal presentation rules are not in conflict with the customized presentation rules, the processor is further configured to: compare the parameter of the element of the business document to a second parameter of the customized presentation rules, and cause the processor to, when the parameter of the element of the business document is a non-compliant parameter, present an option to the user to conform the element of the business document to the second parameter of the customized presentation rules. 2. The device of claim 1 , wherein, when the universal presentation rules are not in conflict with the customized presentation rules, the receiver is further configured to receive, from the user, an instruction to conform the element of the business document to the second parameter of the customized presentation rules.
| 0.57672 |
9,369,711 | 37 | 39 |
37. A device for processing video data comprising: means for receiving a coded video sequence comprising encoded pictures of a video sequence; and means for receiving timing parameters for the coded video sequence that include a condition for signaling a number of clock ticks corresponding to a difference of picture order count (POC) values equal to 1 directly in at least one of a video parameter set (VPS) syntax structure referenced by the coded video sequence and a sequence parameter set (SPS) syntax structure referenced by the coded video sequence.
|
37. A device for processing video data comprising: means for receiving a coded video sequence comprising encoded pictures of a video sequence; and means for receiving timing parameters for the coded video sequence that include a condition for signaling a number of clock ticks corresponding to a difference of picture order count (POC) values equal to 1 directly in at least one of a video parameter set (VPS) syntax structure referenced by the coded video sequence and a sequence parameter set (SPS) syntax structure referenced by the coded video sequence. 39. The device of claim 37 , wherein the means for receiving the timing parameters for the coded video sequence further comprise: means for receiving a time scale and a number of units in a clock tick in at least one of the VPS syntax structure and the SPS syntax structure.
| 0.679907 |
7,957,969 | 9 | 11 |
9. A method for generating base forms for non-native language in a speech-based system for processing a native language, the method comprising acts performed by at least one processor, of: receiving input textual data containing both native language and non-native language words; identifying the native language and non-native language words within the textual data; tagging the native language words with a tag indicating that the words belong to the native language and tagging the non-native language words with a tag indicating that the words belong to the non-native language; generating, by the at least one processor, a native phonetic transcription of the native language words using phonetic units of the native language; generating a non-native phonetic transcription of the non-native language words using phonetic units of the non-native language; generating a native pronunciation of the non-native language words using phonetic units of the native language by mapping the phonetic units of the non-native phonetic transcription to acoustically similar phonetic units of the native language; and storing the input textual data with the corresponding native phonetic transcription of the native language words and the mapped native pronunciation of the non-native language words in a native phonetic lexicon.
|
9. A method for generating base forms for non-native language in a speech-based system for processing a native language, the method comprising acts performed by at least one processor, of: receiving input textual data containing both native language and non-native language words; identifying the native language and non-native language words within the textual data; tagging the native language words with a tag indicating that the words belong to the native language and tagging the non-native language words with a tag indicating that the words belong to the non-native language; generating, by the at least one processor, a native phonetic transcription of the native language words using phonetic units of the native language; generating a non-native phonetic transcription of the non-native language words using phonetic units of the non-native language; generating a native pronunciation of the non-native language words using phonetic units of the native language by mapping the phonetic units of the non-native phonetic transcription to acoustically similar phonetic units of the native language; and storing the input textual data with the corresponding native phonetic transcription of the native language words and the mapped native pronunciation of the non-native language words in a native phonetic lexicon. 11. The method of claim 9 further comprising an act of identifying the native language and non-native language words based, at least in part, on at least one of letter-sequences and accented characters.
| 0.661074 |
10,026,021 | 1 | 3 |
1. A method comprising, by one or more computing systems: identifying a shared visual concept in two or more visual-media items, wherein each visual-media item comprises one or more images, each image comprising one or more visual features, and wherein each visual-media item comprises one or more visual concepts, the shared visual concept being identified based on one or more shared visual features in the respective images of the visual-media items; extracting, for each of the visual-media items, one or more n-grams from one or more communications associated with the visual-media item; generating, in a d-dimensional space, an embedding for each of the visual-media items, wherein a location of the embedding for the visual-media item is based on the one or more visual concepts included in the visual-media item; generating, in the d-dimensional space, an embedding for each of the extracted n-grams, wherein a location of the embedding for the n-gram is based on a frequency of occurrence of the n-gram in the communications associated with the visual-media items; associating with the shared visual concept, one or more of the extracted n-grams that have embeddings within a threshold area of the embeddings for the identified visual-media items; populating a visual-concept index that indexes visual concepts with their respective associated n-grams; receiving, from a client system of a user, a search query comprising one or more n-grams; determining, based on the visual-concept index, one or more visual concepts associated with the n-grams of the search query; and sending, to the client system of the user, one or more search results comprising visual-media items in which the determined visual concepts are identified.
|
1. A method comprising, by one or more computing systems: identifying a shared visual concept in two or more visual-media items, wherein each visual-media item comprises one or more images, each image comprising one or more visual features, and wherein each visual-media item comprises one or more visual concepts, the shared visual concept being identified based on one or more shared visual features in the respective images of the visual-media items; extracting, for each of the visual-media items, one or more n-grams from one or more communications associated with the visual-media item; generating, in a d-dimensional space, an embedding for each of the visual-media items, wherein a location of the embedding for the visual-media item is based on the one or more visual concepts included in the visual-media item; generating, in the d-dimensional space, an embedding for each of the extracted n-grams, wherein a location of the embedding for the n-gram is based on a frequency of occurrence of the n-gram in the communications associated with the visual-media items; associating with the shared visual concept, one or more of the extracted n-grams that have embeddings within a threshold area of the embeddings for the identified visual-media items; populating a visual-concept index that indexes visual concepts with their respective associated n-grams; receiving, from a client system of a user, a search query comprising one or more n-grams; determining, based on the visual-concept index, one or more visual concepts associated with the n-grams of the search query; and sending, to the client system of the user, one or more search results comprising visual-media items in which the determined visual concepts are identified. 3. The method of claim 1 , wherein extracting the one or more n-grams from communications associated with the visual-media items comprises filtering out one or more non-descriptive n-grams from a plurality of n-grams included in the communications, wherein the non-descriptive n-grams are present on a pre-generated list of non-descriptive n-grams.
| 0.768309 |
8,086,600 | 25 | 33 |
25. A computer-readable storage device having stored thereon instructions that, when executed by a computer, cause the computer to perform operations comprising: receiving a plurality of first search results in a first presentation format, the first search results received from a first search engine, the first search results identified for a search query directed to the first search engine, the first search results having an associated order indicative of respective first quality scores that are used to rank the first search results; receiving one or more second search results in a second presentation format different from the first presentation format, the second search results received from a second search engine, the second search results identified for the search query directed to the second search engine, wherein the first search engine searches a first corpus of first resources, wherein the second search engine searches a second corpus of second resources, and wherein the first search engine and the second search engines are distinct from each other; obtaining a respective first quality score for a plurality of the first search results, the respective first quality score determined in relation to the corpus of first resources and obtaining a respective second quality score for each of the one or more second search results, each respective second quality score determined in relation to the corpus of second resources; and inserting one or more of the second search results into the order including decreasing one or more of the respective first quality scores by reducing a contribution of a scoring feature unique to the first search results and distinct from scoring features of the second search results so that the inserted second search results occur within a number of top-ranked search results in the order.
|
25. A computer-readable storage device having stored thereon instructions that, when executed by a computer, cause the computer to perform operations comprising: receiving a plurality of first search results in a first presentation format, the first search results received from a first search engine, the first search results identified for a search query directed to the first search engine, the first search results having an associated order indicative of respective first quality scores that are used to rank the first search results; receiving one or more second search results in a second presentation format different from the first presentation format, the second search results received from a second search engine, the second search results identified for the search query directed to the second search engine, wherein the first search engine searches a first corpus of first resources, wherein the second search engine searches a second corpus of second resources, and wherein the first search engine and the second search engines are distinct from each other; obtaining a respective first quality score for a plurality of the first search results, the respective first quality score determined in relation to the corpus of first resources and obtaining a respective second quality score for each of the one or more second search results, each respective second quality score determined in relation to the corpus of second resources; and inserting one or more of the second search results into the order including decreasing one or more of the respective first quality scores by reducing a contribution of a scoring feature unique to the first search results and distinct from scoring features of the second search results so that the inserted second search results occur within a number of top-ranked search results in the order. 33. The storage device of claim 25 , wherein: the first resources are generic web pages and the second resources are image resources.
| 0.834577 |
4,435,617 | 26 | 27 |
26. In a system for converting an audio input, comprising words made up of various sounds in a spoken sequence, into a visible form, comprising a sequence of corresponding phonemes, said system comprising: phoneme identifying means responsive to said audio input for identifying said sequence of corresponding phonemes, and processor means for receiving and processing said sequence of corresponding phonemes to provide said identified words of said audio input in said visible form; the improvement wherein said processor means breaks down the spoken sequence of sounds into syllabits, each syllabit comprising a group of classes of sounds, and wherein said processor means groups the syllabits into syllabit groups, each syllabit group defining corresponding possible words, and provides, for each of said possible words corresponding to each syllabit group, a respective skeletal sequence of phonemes comprising a corresponding grouping of phonemes.
|
26. In a system for converting an audio input, comprising words made up of various sounds in a spoken sequence, into a visible form, comprising a sequence of corresponding phonemes, said system comprising: phoneme identifying means responsive to said audio input for identifying said sequence of corresponding phonemes, and processor means for receiving and processing said sequence of corresponding phonemes to provide said identified words of said audio input in said visible form; the improvement wherein said processor means breaks down the spoken sequence of sounds into syllabits, each syllabit comprising a group of classes of sounds, and wherein said processor means groups the syllabits into syllabit groups, each syllabit group defining corresponding possible words, and provides, for each of said possible words corresponding to each syllabit group, a respective skeletal sequence of phonemes comprising a corresponding grouping of phonemes. 27. In the system of claim 26, wherein said processor means compares the input sequence of phonemes for each syllabit group with the respective skeletal sequences of phonemes of each of the corresponding possible words so as to determine, with reference to the phonemes in each grouping of phonemes, which possible word has a skeletal sequence of phonemes which contains, in a given sequence, phonemes all of which are found, in said given sequence, in the input sequence of phonemes, thereby identifying each of said words of said audio input.
| 0.5 |
9,384,295 | 1 | 9 |
1. A method, comprising: processing, on a client device, a portable document corresponding to a collaborative document, wherein the collaborative document is resident on a server device and is accessible to the client device when connected to the server device via a network, the portable document being resident on the client device and editable thereby when disconnected from the server device; determining that the client device is connected to the server device; in response to determining that the client device is connected to the server device, enabling a display of a single switchable view on the client device, the single switchable view comprising a first view of the collaborative document resident on the server device and a second view of the portable document resident on the client device, the single switchable view being adapted to selectively switch between the first view and the second view based on a user selection received via a graphical user interface; and switching between the first view of the collaborative document resident on the server device and the second view of the portable document resident on the client device based on a received user selection.
|
1. A method, comprising: processing, on a client device, a portable document corresponding to a collaborative document, wherein the collaborative document is resident on a server device and is accessible to the client device when connected to the server device via a network, the portable document being resident on the client device and editable thereby when disconnected from the server device; determining that the client device is connected to the server device; in response to determining that the client device is connected to the server device, enabling a display of a single switchable view on the client device, the single switchable view comprising a first view of the collaborative document resident on the server device and a second view of the portable document resident on the client device, the single switchable view being adapted to selectively switch between the first view and the second view based on a user selection received via a graphical user interface; and switching between the first view of the collaborative document resident on the server device and the second view of the portable document resident on the client device based on a received user selection. 9. The method of claim 1 , further comprising: on disconnection of the client device from the server device, enabling the display of a portable view of the portable document on the client device.
| 0.625 |
4,783,810 | 2 | 16 |
2. A device for generating the audio information of a set of characters comprising, a data-processor unit connected to a first memory for the storage of speech data and to a second memory for the storage of external input characters presented thereto, said data-processor unit comprising control means for forming, on the basis of said speech data in the first memory, a speech pattern corresponding to said input characters presented, a speech generator connected to the first memory and controlled by the data processor control means, wherein the data-processor unit comprises position determining means for determining the position of at least one letter of a word made up of characters presented and for introducing a modification in the speech pattern for said letter while maintaining its identity, said modification comprising a modification of a pitch component and/or a voice-characterizing component of the speech pattern.
|
2. A device for generating the audio information of a set of characters comprising, a data-processor unit connected to a first memory for the storage of speech data and to a second memory for the storage of external input characters presented thereto, said data-processor unit comprising control means for forming, on the basis of said speech data in the first memory, a speech pattern corresponding to said input characters presented, a speech generator connected to the first memory and controlled by the data processor control means, wherein the data-processor unit comprises position determining means for determining the position of at least one letter of a word made up of characters presented and for introducing a modification in the speech pattern for said letter while maintaining its identity, said modification comprising a modification of a pitch component and/or a voice-characterizing component of the speech pattern. 16. A device as claimed in claim 2, wherein said modification of a pitch component of the speech pattern comprises a lower pitch with respect to a mean pitch component of the speech pattern.
| 0.577778 |
4,438,932 | 2 | 7 |
2. An electronic word game as claimed in claim 1 and comprising a keyboard having a plurality of actuable letter keys, and an encoder circuit translating the actuated letter keys into signals representing the letters of actuated keys, said encoder circuit being connected to said first and second circuits.
|
2. An electronic word game as claimed in claim 1 and comprising a keyboard having a plurality of actuable letter keys, and an encoder circuit translating the actuated letter keys into signals representing the letters of actuated keys, said encoder circuit being connected to said first and second circuits. 7. An electronic word game as claimed in claim 2 and comprising a number display circuit connected to said keyboard for displaying the number of letters represented by said first set of signals.
| 0.654804 |
7,783,639 | 1 | 2 |
1. A method performed by a device, the method comprising: identifying, by a processor of the device, a plurality of documents, where a first one of the identified documents is linked by a second one of the identified documents and the second document is one of a plurality of documents in an affiliated set of documents; calculating, by the processor, a first value for each document in the affiliated set of documents based on a ranking score of the document and a number of outbound links from the document; calculating, by the processor, a second value as a maximum of the first values for the documents in the affiliated set of documents; assigning, by the processor, a ranking score to the first document based the second value, where assigning the ranking score includes: determining whether the documents in the affiliated set of documents are weakly affiliated or strongly affiliated, and setting the amount that the second document contributes to the ranking score of the first document as a function that acts as a summation operator over the affiliated set of documents when the affiliated set is weakly affiliated and as a maximum operator over the affiliated set of documents when the affiliated set is strongly affiliated, where the function is defined as:
(CONTRIB(D 1 ) a +CONTRIB(D 2 ) a + . . . +CONTRIB(D k ) a ) 1/a , where CONTRIB for document D k represents an individual ranking score contribution for document k in the affiliated set, and a is defined as 1 ⅇ + ( 1 - ⅇ ) γ , where e is a constant and γ represents a continuous measure of the affiliation of the documents in the affiliated set; and storing, by the processor, the ranking score.
|
1. A method performed by a device, the method comprising: identifying, by a processor of the device, a plurality of documents, where a first one of the identified documents is linked by a second one of the identified documents and the second document is one of a plurality of documents in an affiliated set of documents; calculating, by the processor, a first value for each document in the affiliated set of documents based on a ranking score of the document and a number of outbound links from the document; calculating, by the processor, a second value as a maximum of the first values for the documents in the affiliated set of documents; assigning, by the processor, a ranking score to the first document based the second value, where assigning the ranking score includes: determining whether the documents in the affiliated set of documents are weakly affiliated or strongly affiliated, and setting the amount that the second document contributes to the ranking score of the first document as a function that acts as a summation operator over the affiliated set of documents when the affiliated set is weakly affiliated and as a maximum operator over the affiliated set of documents when the affiliated set is strongly affiliated, where the function is defined as:
(CONTRIB(D 1 ) a +CONTRIB(D 2 ) a + . . . +CONTRIB(D k ) a ) 1/a , where CONTRIB for document D k represents an individual ranking score contribution for document k in the affiliated set, and a is defined as 1 ⅇ + ( 1 - ⅇ ) γ , where e is a constant and γ represents a continuous measure of the affiliation of the documents in the affiliated set; and storing, by the processor, the ranking score. 2. The method of claim 1 , further comprising: sorting a group of the identified documents including the first document based on the assigned ranking score.
| 0.828947 |
9,632,693 | 6 | 10 |
6. A local computing device comprising: a memory encoded with a set of executable instructions; a processor to execute the instructions, wherein the instructions, when executed, cause the processor to: provide, to a remote computing device, information useable to display at least a portion of a graphical user interface (GUI) of the local computing device; receive touch input identifying a touch event sensed with a display of the remote computing device when displaying the at least a portion of the GUI; translate, based on an application translation profile for an application in focus at the local computing device at the time of the touch event, a touch action including at least the received touch input into local input that an operating system (OS) of the local computing device is able to natively process if the first translation profile is accessible to the local computing device and maps the touch action to local input, wherein the translation profile maps the touch input to a mouse or keyboard input that emulates the result of the touch input, and wherein the application translation profile for the application in focus is one of a plurality of application translation profiles, each application translation profile in the plurality having a corresponding application; translate, based on a general translation profile associated with the OS, at least the received touch input into local input the OS is able to natively process if the OS is not able to natively process touch input and no translation profile for the application in focus is accessible, wherein the plurality of application translation profiles have priority over the general translation profile; and provide the touch input to the OS without use of the plurality of application translation profiles and without use of the general translation profile if no translation profile for the application in focus is accessible and the OS is able to natively process touch input.
|
6. A local computing device comprising: a memory encoded with a set of executable instructions; a processor to execute the instructions, wherein the instructions, when executed, cause the processor to: provide, to a remote computing device, information useable to display at least a portion of a graphical user interface (GUI) of the local computing device; receive touch input identifying a touch event sensed with a display of the remote computing device when displaying the at least a portion of the GUI; translate, based on an application translation profile for an application in focus at the local computing device at the time of the touch event, a touch action including at least the received touch input into local input that an operating system (OS) of the local computing device is able to natively process if the first translation profile is accessible to the local computing device and maps the touch action to local input, wherein the translation profile maps the touch input to a mouse or keyboard input that emulates the result of the touch input, and wherein the application translation profile for the application in focus is one of a plurality of application translation profiles, each application translation profile in the plurality having a corresponding application; translate, based on a general translation profile associated with the OS, at least the received touch input into local input the OS is able to natively process if the OS is not able to natively process touch input and no translation profile for the application in focus is accessible, wherein the plurality of application translation profiles have priority over the general translation profile; and provide the touch input to the OS without use of the plurality of application translation profiles and without use of the general translation profile if no translation profile for the application in focus is accessible and the OS is able to natively process touch input. 10. The local computing device of claim 6 , wherein the application translation profile for the application in focus includes a mapping of a given touch action to local input implementing a macro for the application associated with the first translation profile.
| 0.815233 |
8,843,466 | 70 | 75 |
70. A system comprising one or more computers and one or more storage devices storing instructions that when executed by the one or more computers cause the one or more computers to perform operations comprising: determining that a first search query includes a respective text reference to each of one or more predetermined attributes, wherein each attribute is associated with a first entity type; obtaining search results for the first search query from a search engine, each search result identifying a respective resource; for each of a plurality of the obtained search results, determining an initial score for each of a plurality of entities of the first entity type based on occurrences of names of the entity in the resource identified by the search result; generating a final score for each of the plurality of entities based on the initial scores; selecting one or more names of entities of the first entity type to include in a response to the first search query based on the final scores: and generating one or more attribute suggestions to include in the response to the search query, each attribute suggestion identifying a respective additional attribute associated with the first entity type, wherein generating the one or more attribute suggestions comprises: identifying one or more associated attributes for each of the selected entities; and selecting the associated attributes that maximally refine the selected entities as being attribute suggestions.
|
70. A system comprising one or more computers and one or more storage devices storing instructions that when executed by the one or more computers cause the one or more computers to perform operations comprising: determining that a first search query includes a respective text reference to each of one or more predetermined attributes, wherein each attribute is associated with a first entity type; obtaining search results for the first search query from a search engine, each search result identifying a respective resource; for each of a plurality of the obtained search results, determining an initial score for each of a plurality of entities of the first entity type based on occurrences of names of the entity in the resource identified by the search result; generating a final score for each of the plurality of entities based on the initial scores; selecting one or more names of entities of the first entity type to include in a response to the first search query based on the final scores: and generating one or more attribute suggestions to include in the response to the search query, each attribute suggestion identifying a respective additional attribute associated with the first entity type, wherein generating the one or more attribute suggestions comprises: identifying one or more associated attributes for each of the selected entities; and selecting the associated attributes that maximally refine the selected entities as being attribute suggestions. 75. The system of claim 70 , wherein identifying occurrences of names of a particular entity in the contents of the resource comprises: determining that one or more occurrences of a name of an entity in the contents of the resource do not relate to the entity.
| 0.713656 |
6,069,622 | 21 | 29 |
21. The method of claim 12, wherein determining the placement for each character in the new comic panel further comprises determining the placement for each character in the new comic panel based upon the disposition of each character that is communicating in the new comic panel.
|
21. The method of claim 12, wherein determining the placement for each character in the new comic panel further comprises determining the placement for each character in the new comic panel based upon the disposition of each character that is communicating in the new comic panel. 29. The method of claim 21, wherein the balloon outline indicates a type of textual input received, the type of textual input indicating a manner in which the textual input is to be displayed.
| 0.726496 |
8,560,321 | 14 | 17 |
14. A system for managing interactions with a person, comprising non-transitory computer storage media storing programming instructions executable by at least one processor to: receive data representing an utterance from a person; automatically present the utterance in perceptible form to an intent analyst through an analyst user interface; accept intent input from intent analyst through the analyst user interface, where the intent input characterizes the intent analyst's interpretation of the person's intent expressed in the utterance; provide the data and the intent input to a training subsystem; accept from the training subsystem training information generated responsive to the data and the intent input; and send the training information to a real-time recognition processor in order to improve performance thereof.
|
14. A system for managing interactions with a person, comprising non-transitory computer storage media storing programming instructions executable by at least one processor to: receive data representing an utterance from a person; automatically present the utterance in perceptible form to an intent analyst through an analyst user interface; accept intent input from intent analyst through the analyst user interface, where the intent input characterizes the intent analyst's interpretation of the person's intent expressed in the utterance; provide the data and the intent input to a training subsystem; accept from the training subsystem training information generated responsive to the data and the intent input; and send the training information to a real-time recognition processor in order to improve performance thereof. 17. The system of claim 14 , wherein the instructions further comprise instructions to send a second utterance to the real-time recognition processor responsive to performance of the real-time recognition processor exceeding a threshold quality level.
| 0.649441 |
7,814,404 | 22 | 34 |
22. The system of claim 21 , wherein the events are selected from the group comprising user events and system events.
|
22. The system of claim 21 , wherein the events are selected from the group comprising user events and system events. 34. The system of claim 22 , wherein the instructional language is Java Script.
| 0.906176 |
7,917,847 | 69 | 70 |
69. The computer program product according to claim 68 , wherein the switching is controlled in three stages including a first stage from a start of the obtaining operation of the page to a time of completion of acquisition of text data of the page, a second stage from the time of the completion of acquisition of the text data of the page to a time of completion of acquisition of the external style sheet and the external script, and a third stage after the completion of acquisition of the external style sheet and the external script, and wherein the onscreen representation in the first browsing mode is made during the first stage, notification notifying execution of the switching is added to the onscreen representation in the first browsing mode during the second stage, and the onscreen representation in which the external style sheet and the external script are applied is made during the third stage if the predetermined user operation is not performed.
|
69. The computer program product according to claim 68 , wherein the switching is controlled in three stages including a first stage from a start of the obtaining operation of the page to a time of completion of acquisition of text data of the page, a second stage from the time of the completion of acquisition of the text data of the page to a time of completion of acquisition of the external style sheet and the external script, and a third stage after the completion of acquisition of the external style sheet and the external script, and wherein the onscreen representation in the first browsing mode is made during the first stage, notification notifying execution of the switching is added to the onscreen representation in the first browsing mode during the second stage, and the onscreen representation in which the external style sheet and the external script are applied is made during the third stage if the predetermined user operation is not performed. 70. The computer program product according to claim 69 , wherein the operation for canceling the switching of the onscreen representation is allowed only in the second stage.
| 0.5 |
8,380,840 | 23 | 25 |
23. A Session Initiation Protocol (SIP) server computer comprising: a first SIP application layer software module, the first SIP application layer software module being executable by the SIP server computer to provide SIP functionality utilizing a first proprietary application; a second SIP application layer software module, the second SIP application layer software module being executable by the SIP server computer to provide SIP functionality utilizing a second proprietary application that is different from the first proprietary application; a call event record module coupled to the first SIP application layer software module and the second SIP application layer software module, the call event record module to: create a call event record, based on the first proprietary application, for each call event, of one or more call events, associated with the SIP server computer; an Extensible Markup Language (XML) processor module coupled to the call event record module, the XML processor module to: generate, for each created call event record, an XML document; create an XML call event file, the XML call event file including each generated call event record, each generated call event record including a tag comprising a string of unparsed data that is bracketed by delimiting punctuation, when creating the XML call event file, the XML processor module being to: generate an XML document type declaration section that includes data identifying one or more relationships associated with the tag included in each generated call event record included in the XML call event file, generate a server information section that includes data associated with the SIP server computer, generate, for each created call event record, a SIP message type section that identifies a type of a message associated with the created call event record, and generate, for each created call event record, an event information section that includes information associated with a processing of the message associated with the created call event record; and a third module, the third module being executable by the SIP server computer to monitor network traffic associated with the SIP server computer based on the XML call event file using a third proprietary application that is different from the first proprietary application and the second proprietary application.
|
23. A Session Initiation Protocol (SIP) server computer comprising: a first SIP application layer software module, the first SIP application layer software module being executable by the SIP server computer to provide SIP functionality utilizing a first proprietary application; a second SIP application layer software module, the second SIP application layer software module being executable by the SIP server computer to provide SIP functionality utilizing a second proprietary application that is different from the first proprietary application; a call event record module coupled to the first SIP application layer software module and the second SIP application layer software module, the call event record module to: create a call event record, based on the first proprietary application, for each call event, of one or more call events, associated with the SIP server computer; an Extensible Markup Language (XML) processor module coupled to the call event record module, the XML processor module to: generate, for each created call event record, an XML document; create an XML call event file, the XML call event file including each generated call event record, each generated call event record including a tag comprising a string of unparsed data that is bracketed by delimiting punctuation, when creating the XML call event file, the XML processor module being to: generate an XML document type declaration section that includes data identifying one or more relationships associated with the tag included in each generated call event record included in the XML call event file, generate a server information section that includes data associated with the SIP server computer, generate, for each created call event record, a SIP message type section that identifies a type of a message associated with the created call event record, and generate, for each created call event record, an event information section that includes information associated with a processing of the message associated with the created call event record; and a third module, the third module being executable by the SIP server computer to monitor network traffic associated with the SIP server computer based on the XML call event file using a third proprietary application that is different from the first proprietary application and the second proprietary application. 25. The SIP server computer of claim 23 , where the SIP server computer comprises a SIP redirect server.
| 0.879908 |
7,519,817 | 23 | 31 |
23. A computer-readable medium containing instructions for performing a method for automatically processing a first electronic document sent from a sender to a designated receiver, the first electronic document having a digital signature, the method comprising: receiving the first electronic document from the sender; validating the digital signature by using a public key of the sender; checking whether the digital signature is from a person or a legal entity authorized to send the first electronic document; determining, if the person or the legal entity is authorized to send the first electronic document, whether the person or the legal entity that signed the first electronic document is authorized by an issuer named in the first electronic document to sign the first electronic document; creating an electronic protocol of the results of validating, checking, and determining; signing the protocol; archiving at least one of data selected from the group consisting of the protocol and the first electronic document; and presenting the first electronic document to the designated receiver.
|
23. A computer-readable medium containing instructions for performing a method for automatically processing a first electronic document sent from a sender to a designated receiver, the first electronic document having a digital signature, the method comprising: receiving the first electronic document from the sender; validating the digital signature by using a public key of the sender; checking whether the digital signature is from a person or a legal entity authorized to send the first electronic document; determining, if the person or the legal entity is authorized to send the first electronic document, whether the person or the legal entity that signed the first electronic document is authorized by an issuer named in the first electronic document to sign the first electronic document; creating an electronic protocol of the results of validating, checking, and determining; signing the protocol; archiving at least one of data selected from the group consisting of the protocol and the first electronic document; and presenting the first electronic document to the designated receiver. 31. The computer-readable medium of claim 23 , wherein the first electronic document is an invoice or a credit note.
| 0.853904 |
8,787,683 | 8 | 9 |
8. The computer readable medium of claim 7 , wherein classifying the image to the one or more candidate labels based on the classification score comprises: determining that the image has a classification score to a particular candidate label that meets or exceeds a relevance threshold; and labeling the image with a label corresponding to the particular candidate label.
|
8. The computer readable medium of claim 7 , wherein classifying the image to the one or more candidate labels based on the classification score comprises: determining that the image has a classification score to a particular candidate label that meets or exceeds a relevance threshold; and labeling the image with a label corresponding to the particular candidate label. 9. The computer readable medium of claim 8 , wherein the determining that the image has a classification score to a particular candidate label and labeling the image is performed for each of at least two candidate labels.
| 0.5 |
9,754,218 | 1 | 5 |
1. A method of using classified text and deep learning algorithms to identify financial advantage comprising: creating or accessing one or more training datasets for textual data corresponding to one or more financial classifications, wherein said financial classifications comprises one or more financial advantage of interest; training one or more deep learning algorithms using said one or more training datasets; extracting an internal electronic document of an enterprise; applying said one or more deep learning algorithms to said internal electronic document to identify and report any one of said one or more advantages of interest; determining if said identified one of said one or more advantages of interest is a false positive or a true positive; re-training said one or more deep learning algorithms if said identified one of said one or more advantages of interest is a false positive; and saving said internal electronic document in a true positive database if said identified one of said one or more reported advantages of interest is a true positive.
|
1. A method of using classified text and deep learning algorithms to identify financial advantage comprising: creating or accessing one or more training datasets for textual data corresponding to one or more financial classifications, wherein said financial classifications comprises one or more financial advantage of interest; training one or more deep learning algorithms using said one or more training datasets; extracting an internal electronic document of an enterprise; applying said one or more deep learning algorithms to said internal electronic document to identify and report any one of said one or more advantages of interest; determining if said identified one of said one or more advantages of interest is a false positive or a true positive; re-training said one or more deep learning algorithms if said identified one of said one or more advantages of interest is a false positive; and saving said internal electronic document in a true positive database if said identified one of said one or more reported advantages of interest is a true positive. 5. The method of claim 1 , wherein each one of said one or more deep learning algorithms has also been trained with one or more datasets unrelated to the advantages of interest.
| 0.664773 |
8,518,086 | 6 | 7 |
6. A spinal rod anchoring system comprising: a rod adapted to extend along a spine of a patient; and a first rod anchor adapted to be fixed to a vertebra of the spine, the first rod anchor comprising: a housing forming a receptacle portion having a substantially concave inner surface; and a sleeve having a passage receiving the rod such that the rod is secured against substantial lateral translation relative to the sleeve while being allowed to slide axially relative to the sleeve through a first pivot point, the sleeve having a substantially convex mating surface adapted to mate with the concave surface of the housing such that the sleeve is able to rotate to change in pitch and yaw relative to the housing while being substantially prevented from changing in roll relative to the housing.
|
6. A spinal rod anchoring system comprising: a rod adapted to extend along a spine of a patient; and a first rod anchor adapted to be fixed to a vertebra of the spine, the first rod anchor comprising: a housing forming a receptacle portion having a substantially concave inner surface; and a sleeve having a passage receiving the rod such that the rod is secured against substantial lateral translation relative to the sleeve while being allowed to slide axially relative to the sleeve through a first pivot point, the sleeve having a substantially convex mating surface adapted to mate with the concave surface of the housing such that the sleeve is able to rotate to change in pitch and yaw relative to the housing while being substantially prevented from changing in roll relative to the housing. 7. The system of claim 6 , wherein the a housing forms a protrusion extending inwardly from the concave inner surface and the sleeve has a circumferential groove in the convex mating surface that mates with the protrusion of the housing such that the sleeve is substantially prevented from changing in roll relative to the housing.
| 0.5 |
7,729,904 | 5 | 12 |
5. A portable speech processing device incorporated within a personal digital assistant or cellphone for use in a distributed speech recognition system for processing a speech utterance, comprising: a first signal processing circuit that generates a first set of speech data values from speech utterance signals associated with the speech utterance, the first set of speech data values being compressed and having a limited data content; a transmission circuit that formats the first set of speech data values by removing NULL data in the first set of speech data values and inserting a single NULL character to denote end of speech and transmits the first set of speech data values over a communications channel to a second signal processing circuit; and a designated button on the portable speech processing device coupled to the transmission circuit such that when the button is pressed, the first set of speech data values are transmitted; wherein the portable speech processing device is configured such that the first set of speech data values are sent in a data stream over the channel during periods when silence is not detected to a server system that includes a second signal processing circuit capable of performing a full recognition of text words in the speech utterance and a natural language engine for performing a recognition of a meaning of a sentence presented in the text words.
|
5. A portable speech processing device incorporated within a personal digital assistant or cellphone for use in a distributed speech recognition system for processing a speech utterance, comprising: a first signal processing circuit that generates a first set of speech data values from speech utterance signals associated with the speech utterance, the first set of speech data values being compressed and having a limited data content; a transmission circuit that formats the first set of speech data values by removing NULL data in the first set of speech data values and inserting a single NULL character to denote end of speech and transmits the first set of speech data values over a communications channel to a second signal processing circuit; and a designated button on the portable speech processing device coupled to the transmission circuit such that when the button is pressed, the first set of speech data values are transmitted; wherein the portable speech processing device is configured such that the first set of speech data values are sent in a data stream over the channel during periods when silence is not detected to a server system that includes a second signal processing circuit capable of performing a full recognition of text words in the speech utterance and a natural language engine for performing a recognition of a meaning of a sentence presented in the text words. 12. The portable speech processing device of claim 5 , wherein the limited data content of the first set of speech data values is configured based on a processing ability of the portable speech processing device.
| 0.78629 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.