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1. A computer-implemented method comprising: maintaining a collection of extract patterns, wherein each extract pattern specifies a text pattern that includes an entity placeholder and an attribute placeholder; maintaining a collection of category definitions, wherein each category definition comprises a category identifier, one or more entity identifiers, and one or more attribute identifiers, each entity identifier comprises an entity-name text string representing a name of an entity in the category, and each attribute identifier comprises an attribute-name text string representing an attribute of the entities in the category; determining that a first search query text string matches a first extract pattern in the collection of extract patterns, including: determining that a first substring of the first search query text string matches an entity placeholder in the first extract pattern; and determining that a second substring of the first search query text string matches an attribute placeholder in the first extract pattern; and determining that the first substring matches an entity identifier in a first category definition in the collection of category definitions; adding the second substring as an attribute identifier to a set of one or more first attribute identifiers in the first category definition, the set of one or more first attribute identifiers comprising at least one of the one or more attribute identifiers; and generating a score for a particular attribute identifier included in the set of one or more first attribute identifiers in the first category definition, wherein the score reflects an extent to which the particular attribute identifier is relevant to characterizing the first category definition. | 1. A computer-implemented method comprising: maintaining a collection of extract patterns, wherein each extract pattern specifies a text pattern that includes an entity placeholder and an attribute placeholder; maintaining a collection of category definitions, wherein each category definition comprises a category identifier, one or more entity identifiers, and one or more attribute identifiers, each entity identifier comprises an entity-name text string representing a name of an entity in the category, and each attribute identifier comprises an attribute-name text string representing an attribute of the entities in the category; determining that a first search query text string matches a first extract pattern in the collection of extract patterns, including: determining that a first substring of the first search query text string matches an entity placeholder in the first extract pattern; and determining that a second substring of the first search query text string matches an attribute placeholder in the first extract pattern; and determining that the first substring matches an entity identifier in a first category definition in the collection of category definitions; adding the second substring as an attribute identifier to a set of one or more first attribute identifiers in the first category definition, the set of one or more first attribute identifiers comprising at least one of the one or more attribute identifiers; and generating a score for a particular attribute identifier included in the set of one or more first attribute identifiers in the first category definition, wherein the score reflects an extent to which the particular attribute identifier is relevant to characterizing the first category definition. 4. The method of claim 1 , wherein generating the score comprises: weighting scores for attributes identified using whole sentence extract patterns more heavily than attributes identified using non-whole sentence extract patterns. | 0.692346 |
1. A method in a computing system having a processor, the method comprising: receiving a request for a web page, the request including a locale identifier value, the locale identifier value referencing a geographic location associated with a referral website and a language associated with a webpage of the referral website containing a link used to generate the request; with the processor, retrieving a version of marketing information identified by processing the locale identifier value included in the request for the web page; with the processor, generating the requested web page to include information representative of the retrieved version of the marketing information; and transmitting the generated web page. | 1. A method in a computing system having a processor, the method comprising: receiving a request for a web page, the request including a locale identifier value, the locale identifier value referencing a geographic location associated with a referral website and a language associated with a webpage of the referral website containing a link used to generate the request; with the processor, retrieving a version of marketing information identified by processing the locale identifier value included in the request for the web page; with the processor, generating the requested web page to include information representative of the retrieved version of the marketing information; and transmitting the generated web page. 16. The method of claim 1 , further comprising providing information about the product for display in an open frame from a time of selection of the product for purchase persisting throughout a process of completing an order for purchase of the product. | 0.593781 |
11. A non-transitory computer readable storage medium storing instructions executable by a data processing apparatus and that upon such execution causes the data processing apparatus to perform operations comprising: identifying from the input sentences first input sentences that do not successfully parse by any parsing rule in a set of parsing rules, each of the parsing rules being associated with an action, and wherein each parsing rule causes a user device to perform the action associated with the parsing rule in response to an input sentence received from the user device being successfully parsed by the parsing rule; for each first input sentence, determining whether the first input sentence has an underserving signal, the underserving signal being a signal that is indicative of one or more actions being underserved; and selecting first input sentences determined to have an underserving signal as candidate input sentences; providing each candidate input sentence to an action analysis process that determines whether a candidate input sentence is to be associated with one of a plurality of actions and upon a positive determination generates a parsing rule for the candidate input sentence, wherein the generated parsing rule is associated with the one of the plurality of actions and a successful parse of an input sentence received at a user device by the generated parsing rule causes the user device to perform the one of the plurality of actions associated with the generated parsing rule; and persisting each generated parsing rule and data describing the action with which the generated parsing rule is associated to command models data that is accessible by a language processing system that parses command input sentences by the generated parsing rules and determines actions to perform based on a successful parses. | 11. A non-transitory computer readable storage medium storing instructions executable by a data processing apparatus and that upon such execution causes the data processing apparatus to perform operations comprising: identifying from the input sentences first input sentences that do not successfully parse by any parsing rule in a set of parsing rules, each of the parsing rules being associated with an action, and wherein each parsing rule causes a user device to perform the action associated with the parsing rule in response to an input sentence received from the user device being successfully parsed by the parsing rule; for each first input sentence, determining whether the first input sentence has an underserving signal, the underserving signal being a signal that is indicative of one or more actions being underserved; and selecting first input sentences determined to have an underserving signal as candidate input sentences; providing each candidate input sentence to an action analysis process that determines whether a candidate input sentence is to be associated with one of a plurality of actions and upon a positive determination generates a parsing rule for the candidate input sentence, wherein the generated parsing rule is associated with the one of the plurality of actions and a successful parse of an input sentence received at a user device by the generated parsing rule causes the user device to perform the one of the plurality of actions associated with the generated parsing rule; and persisting each generated parsing rule and data describing the action with which the generated parsing rule is associated to command models data that is accessible by a language processing system that parses command input sentences by the generated parsing rules and determines actions to perform based on a successful parses. 16. The non-transitory computer readable storage medium of claim 11 , wherein determining whether the first input sentence has an underserving signal further comprises, for each first input sentence: determining that the first input sentence was processed as a search query; determining a quality metric value for search results provided in response to the search query; and determining the first input sentence has the underserving signal when the quality metric value does not meet a threshold quality value. | 0.512533 |
33. In a communications system having (1) an agent telephone and an agent workstation for enabling an agent to communicate with inquiring parties, (2) a database of information pertaining to accounts of said parties and (3) call completion capability for connecting calls to a plurality of different functional partitions within said system, said functional partitions including automated data response for obtaining information from a selected one of said accounts, a control unit for answering calls from said inquiring parties and for directing any of said calls to a selected one of said functional partitions comprising: automated voice means including a first script controlling interactive communications with one of said parties to determine which functional partition is required and a second script for controlling interactive communications with said agent; means for establishing a connection between a first functional partition and said one of said parties; means for transferring to said first functional partition any data obtained with respect to said one of said parties; means for continuing to monitor established communication connections to permit modification of said connection with said first functional partition when said one of said parties desires connection to a second functional partition; and means for transferring to said second functional partition said any data obtained with respect to said one of said parties. | 33. In a communications system having (1) an agent telephone and an agent workstation for enabling an agent to communicate with inquiring parties, (2) a database of information pertaining to accounts of said parties and (3) call completion capability for connecting calls to a plurality of different functional partitions within said system, said functional partitions including automated data response for obtaining information from a selected one of said accounts, a control unit for answering calls from said inquiring parties and for directing any of said calls to a selected one of said functional partitions comprising: automated voice means including a first script controlling interactive communications with one of said parties to determine which functional partition is required and a second script for controlling interactive communications with said agent; means for establishing a connection between a first functional partition and said one of said parties; means for transferring to said first functional partition any data obtained with respect to said one of said parties; means for continuing to monitor established communication connections to permit modification of said connection with said first functional partition when said one of said parties desires connection to a second functional partition; and means for transferring to said second functional partition said any data obtained with respect to said one of said parties. 43. The system as recited in claim 33 further comprising means for cross-referencing single records to one another to thereby create a meta-record. | 0.626775 |
15. A system comprising: a computing device for use by a user; a first knowledge base coupled to the computing device, the first knowledge base containing a plurality of electronic documents; a script repository coupled to the computing device, the script repository containing a script having a set of questions and a corresponding set of answers for each question to assist a user in investigating a problem for which the user seeks a solution; a computer-readable storage device including instructions, where the storage device provides mass storage for the computing device; and a processor operable to execute the instructions and perform operations, the operations comprising: (a) selecting the script, the script configured so that when the user selects an answer to a question from the script, the script proceeds, based on the selected answer, to display a next question from the script; (b) displaying to the user in a graphical user interface (GUI): (i) a first question from the selected script, (ii) first user-selectable answers from the script that are associated with the first question, and (iii) a list of multiple different electronic documents from a collection of documents associated with the script, wherein each document provides information regarding at least one unique problem, wherein each listed document is configured for the user to select the document for document retrieval, and wherein the first question, the first user-selectable answers and the list are displayed concurrently; (c) receiving input from the user selecting one of the first user-selectable answers as a response to the first question; (d) identifying, based on the selected answer, one or more of the multiple different electronic documents to eliminate from display in the list of electronic documents; (e) displaying to the user in the GUI: (i) a second question from the script that is associated with the selected answer, (ii) second user-selectable answers from the script that are associated with the second question, and (iii) each remaining electronic document in the list after each identified electronic document is eliminated from the list; and (f) continuing to present questions from the script and receive answers from the user in accordance with steps (b), (c), (d) and (e) in sequence until the user chooses to retrieve an electronic document that is currently displayed in the list of electronic documents or until an end of the script is reached. | 15. A system comprising: a computing device for use by a user; a first knowledge base coupled to the computing device, the first knowledge base containing a plurality of electronic documents; a script repository coupled to the computing device, the script repository containing a script having a set of questions and a corresponding set of answers for each question to assist a user in investigating a problem for which the user seeks a solution; a computer-readable storage device including instructions, where the storage device provides mass storage for the computing device; and a processor operable to execute the instructions and perform operations, the operations comprising: (a) selecting the script, the script configured so that when the user selects an answer to a question from the script, the script proceeds, based on the selected answer, to display a next question from the script; (b) displaying to the user in a graphical user interface (GUI): (i) a first question from the selected script, (ii) first user-selectable answers from the script that are associated with the first question, and (iii) a list of multiple different electronic documents from a collection of documents associated with the script, wherein each document provides information regarding at least one unique problem, wherein each listed document is configured for the user to select the document for document retrieval, and wherein the first question, the first user-selectable answers and the list are displayed concurrently; (c) receiving input from the user selecting one of the first user-selectable answers as a response to the first question; (d) identifying, based on the selected answer, one or more of the multiple different electronic documents to eliminate from display in the list of electronic documents; (e) displaying to the user in the GUI: (i) a second question from the script that is associated with the selected answer, (ii) second user-selectable answers from the script that are associated with the second question, and (iii) each remaining electronic document in the list after each identified electronic document is eliminated from the list; and (f) continuing to present questions from the script and receive answers from the user in accordance with steps (b), (c), (d) and (e) in sequence until the user chooses to retrieve an electronic document that is currently displayed in the list of electronic documents or until an end of the script is reached. 16. The system of claim 15 , wherein the operations further comprise: receiving input from the user selecting an electronic document from the list of documents; and retrieving the selected electronic document from a first knowledge base. | 0.5 |
8. A system comprising: one or more processors to: receive a search query in a first natural language; identify, based on a content of the search query, one or more documents in the first natural language; identify one or more documents in a second natural language that contain an anchor link that links to the one or more documents in the first natural language, the second natural language being different than the first natural language; analyze content included in the one or more documents in the second natural language; and translate, based on analyzing the content included in the one or more documents in the second natural language, one or more terms of the search query into the second natural language. | 8. A system comprising: one or more processors to: receive a search query in a first natural language; identify, based on a content of the search query, one or more documents in the first natural language; identify one or more documents in a second natural language that contain an anchor link that links to the one or more documents in the first natural language, the second natural language being different than the first natural language; analyze content included in the one or more documents in the second natural language; and translate, based on analyzing the content included in the one or more documents in the second natural language, one or more terms of the search query into the second natural language. 9. The system of claim 8 , where, when translating the one or more terms of the search query, the one or more processors are further to: perform an initial translation of the one or more terms of the search query, into the second natural language, to generate possible translations of the one or more terms of the search query, and disambiguate among the possible translations of the one or more terms of the search query using the content, included in the one or more documents in the second natural language, to identify one of the possible translations as a likely translation of the one or more terms of the search query. | 0.683544 |
22. A system comprising: a data store for storing content items; and one or more processors configured to interact with the data store, the one or more processors being further configured to perform operations comprising: identifying one or more queries that were received with a reference to a given factual entity, wherein the one or more queries identified for the given factual entity are different from one or more queries identified for one or more other factual entities; identifying one or more resources related to the given query; obtaining search results that are responsive to a received query; determining that the given factual entity is referenced by the received query; identifying a type of entity for the given factual entity; identifying, from a set of different knowledge panel templates, a knowledge panel template specified for the type of entity, the identified knowledge panel template including placeholders for content relevant to the type of entity; selecting, from the one or more resources related to the given factual entity, content for display in a knowledge panel for the given factual entity, the selected content including a first content item obtained from a first resource and a second content item obtained from a second resource different than the first resource, each given content item of the selected content being selected based on a number of the one or more received queries that reference both (i) the given factual entity and (ii) information presented by the given content item; generating the knowledge panel for the given factual entity by populating the placeholders of the identified knowledge panel template with the selected content; and providing data that causes the identified search results and the knowledge panel to be presented on a search results page, the knowledge panel presenting the selected content in a knowledge panel area alongside at least a portion of the search results. | 22. A system comprising: a data store for storing content items; and one or more processors configured to interact with the data store, the one or more processors being further configured to perform operations comprising: identifying one or more queries that were received with a reference to a given factual entity, wherein the one or more queries identified for the given factual entity are different from one or more queries identified for one or more other factual entities; identifying one or more resources related to the given query; obtaining search results that are responsive to a received query; determining that the given factual entity is referenced by the received query; identifying a type of entity for the given factual entity; identifying, from a set of different knowledge panel templates, a knowledge panel template specified for the type of entity, the identified knowledge panel template including placeholders for content relevant to the type of entity; selecting, from the one or more resources related to the given factual entity, content for display in a knowledge panel for the given factual entity, the selected content including a first content item obtained from a first resource and a second content item obtained from a second resource different than the first resource, each given content item of the selected content being selected based on a number of the one or more received queries that reference both (i) the given factual entity and (ii) information presented by the given content item; generating the knowledge panel for the given factual entity by populating the placeholders of the identified knowledge panel template with the selected content; and providing data that causes the identified search results and the knowledge panel to be presented on a search results page, the knowledge panel presenting the selected content in a knowledge panel area alongside at least a portion of the search results. 26. The system of claim 22 , wherein: the knowledge panel comprises an interactive user interface object; and the one or more processors are further configured to perform operations comprising: receiving information specifying an interaction with the interactive user interface object; and providing data that causes additional content to be presented within the knowledge panel without navigating away from the search results page and while maintain presentation of the knowledge panel and the identified search results, the additional content being selected based on the interaction. | 0.548645 |
7. A system for forming a unified classifier for a category, the system comprising: a computer processor, the computer processor configured to: store a taxonomy of categories, the categories for labeling videos; access a video repository; retrieve from the video repository a training set of videos for a category from the taxonomy of categories, the training set comprising a positive training set of videos labeled with the category, and a negative training set of videos not labeled with the category; form a plurality of positive bags, each positive bag comprising a plurality of the videos from the positive training set; form a plurality of negative bags, each negative bag comprising a plurality of the videos from the negative training set; apply a boosting algorithm to obtain a plurality of sets of weights, wherein each set of weights comprises one weight for each bag, the weight for each bag based on a weight of each video in the plurality of videos in the bag; train a unified classifier, wherein training the unified classifier is based at least in part on the plurality of positive bags, the plurality of negative bags, and the plurality of sets of weights; and store the unified classifier. | 7. A system for forming a unified classifier for a category, the system comprising: a computer processor, the computer processor configured to: store a taxonomy of categories, the categories for labeling videos; access a video repository; retrieve from the video repository a training set of videos for a category from the taxonomy of categories, the training set comprising a positive training set of videos labeled with the category, and a negative training set of videos not labeled with the category; form a plurality of positive bags, each positive bag comprising a plurality of the videos from the positive training set; form a plurality of negative bags, each negative bag comprising a plurality of the videos from the negative training set; apply a boosting algorithm to obtain a plurality of sets of weights, wherein each set of weights comprises one weight for each bag, the weight for each bag based on a weight of each video in the plurality of videos in the bag; train a unified classifier, wherein training the unified classifier is based at least in part on the plurality of positive bags, the plurality of negative bags, and the plurality of sets of weights; and store the unified classifier. 9. The system of claim 7 , wherein each video is associated with a feature vector determined by a set of initial classifiers, and training the unified classifier based on the plurality of positive bags and plurality of negative bags comprises training the unified classifier based on the feature vectors associated with the videos in the plurality of positive bags and the plurality of negative bags. | 0.548036 |
1. A method of delivering a search result comprising: receiving a query; identifying a first term in the query that is a first portion of a first abbreviation pair, wherein the first abbreviation pair includes a second portion; identifying a second term in the query; identifying a topic corresponding to the second term; identifying that the first term in the query is also present in a second abbreviation pair as a third portion of the second abbreviation pair, wherein the second abbreviation pair includes a fourth portion and wherein the fourth portion of the second abbreviation pair is different from the second portion of the first abbreviation pair; revising the query by selectively including as additional parameters in the query, one of: (1) the second portion, (2) the fourth portion, or (3) both the second and fourth portions, wherein the fourth portion comprises a plurality of terms representing an acronym expansion of the third portion and wherein the selection is based at least in part on a topical score associated with each of the second portion and the fourth portion, respectively, the topical scores corresponding to relevance of the second and fourth portions to the topic and calculated according to both of relevance of a plurality of constituent terms of the second portion and the plurality of terms of the fourth portion to the topic and relevance of the combined constituent terms of the second portion and the plurality of terms of the fourth portion to the topic, respectively; locating one or more search results for the revised query; and returning the one or more search results. | 1. A method of delivering a search result comprising: receiving a query; identifying a first term in the query that is a first portion of a first abbreviation pair, wherein the first abbreviation pair includes a second portion; identifying a second term in the query; identifying a topic corresponding to the second term; identifying that the first term in the query is also present in a second abbreviation pair as a third portion of the second abbreviation pair, wherein the second abbreviation pair includes a fourth portion and wherein the fourth portion of the second abbreviation pair is different from the second portion of the first abbreviation pair; revising the query by selectively including as additional parameters in the query, one of: (1) the second portion, (2) the fourth portion, or (3) both the second and fourth portions, wherein the fourth portion comprises a plurality of terms representing an acronym expansion of the third portion and wherein the selection is based at least in part on a topical score associated with each of the second portion and the fourth portion, respectively, the topical scores corresponding to relevance of the second and fourth portions to the topic and calculated according to both of relevance of a plurality of constituent terms of the second portion and the plurality of terms of the fourth portion to the topic and relevance of the combined constituent terms of the second portion and the plurality of terms of the fourth portion to the topic, respectively; locating one or more search results for the revised query; and returning the one or more search results. 6. The method of claim 1 further comprising concatenating the received query with the second portion. | 0.852601 |
18. A method for applying legal analytics, the method comprising: accessing a source of legal information; retrieving legal data from the source of legal information; performing word recognition on the legal data; automatically normalizing inaccuracies discovered in the legal data; after normalizing the legal data, receiving input from an administrator to input supplemental legal data that adds a legal outcome for which no metadata element has been previously generated and modify the legal data; identifying, based on any recognized words, references to various legal entities in the legal data; identifying portions of the legal data that include at least one reference; associating each of the portions with a metadata element corresponding to the at least one legal entity referenced in each portion; and constructing a database that includes the legal data and metadata elements, wherein the database is searchable by legal entity; allowing a user to specify search parameters that are used to identify a segment of the legal data; applying legal analytics to the segment of the legal data; and presenting analytic results to the user. | 18. A method for applying legal analytics, the method comprising: accessing a source of legal information; retrieving legal data from the source of legal information; performing word recognition on the legal data; automatically normalizing inaccuracies discovered in the legal data; after normalizing the legal data, receiving input from an administrator to input supplemental legal data that adds a legal outcome for which no metadata element has been previously generated and modify the legal data; identifying, based on any recognized words, references to various legal entities in the legal data; identifying portions of the legal data that include at least one reference; associating each of the portions with a metadata element corresponding to the at least one legal entity referenced in each portion; and constructing a database that includes the legal data and metadata elements, wherein the database is searchable by legal entity; allowing a user to specify search parameters that are used to identify a segment of the legal data; applying legal analytics to the segment of the legal data; and presenting analytic results to the user. 25. The method of claim 18 , further comprising: after normalizing the legal data, receiving input from an administrator to input supplemental legal data, modify the legal data, or both. | 0.595476 |
8. A computer-readable storage medium as recited in claim 5 further comprising marking a second entry in the table of contents if the unit of content associated with the second entry is a new unit of content with respect to a previous version of the structured document, wherein a new unit of content corresponds to a unit of content which had not previously been addressed. | 8. A computer-readable storage medium as recited in claim 5 further comprising marking a second entry in the table of contents if the unit of content associated with the second entry is a new unit of content with respect to a previous version of the structured document, wherein a new unit of content corresponds to a unit of content which had not previously been addressed. 10. A computer-readable storage medium as recited in claim 8 wherein marking the second entry comprises displaying a symbol near the second entry, the symbol indicating that the associated unit of content is new. | 0.930044 |
24. The software product of claim 23 , wherein the actions-taken information comprises information related to authenticated user interactions with the electronic document. | 24. The software product of claim 23 , wherein the actions-taken information comprises information related to authenticated user interactions with the electronic document. 27. The software product of claim 24 , wherein the information related to authenticated user interactions with the electronic document comprises audited consent statements. | 0.937005 |
5. The method according to claim 1 , wherein generating the geographic data associated with the data of the data stream further comprises identifying, by the computer, one or more geographic entities in the data of the data stream. | 5. The method according to claim 1 , wherein generating the geographic data associated with the data of the data stream further comprises identifying, by the computer, one or more geographic entities in the data of the data stream. 6. The method according to claim 5 , wherein identifying the one or more geographic entities in the data further comprises: querying, by the computer, an entity database comprising non-transitory machine-readable storage media configured to store one or more entity records associated with a plurality of geographic entities respectively, each respective entity record comprising entity data that identifies the respective geographic entity in the text data; and comparing, by the computer, the text data with the entity data contained in the one or more records of the entity database. | 0.838381 |
19. The system of claim 17 , wherein the topic-mining non-transitory computer-readable medium further comprises instructions that, when executed by one or more processors, cause the system to, for each of one or more topics in the set of topics: automatically extract, from the set of clauses, a set of attributes that provides a context for the topic, wherein the set of attributes comprises a set of words in a vicinity of the topic. | 19. The system of claim 17 , wherein the topic-mining non-transitory computer-readable medium further comprises instructions that, when executed by one or more processors, cause the system to, for each of one or more topics in the set of topics: automatically extract, from the set of clauses, a set of attributes that provides a context for the topic, wherein the set of attributes comprises a set of words in a vicinity of the topic. 20. The system of claim 19 , wherein the topic-mining non-transitory computer-readable medium further comprises instructions that, when executed by one or more processors, cause the system to, for each of the one or more topics: obtain a refined set of attributes by removing from the set of attributes one or more high-frequency words that appear in the set of n-grams; and use the refined set of attributes to obtain a set of sentiments associated with the topic. | 0.789565 |
1. A method of increasing recombination between two plants comprising the steps of: a) providing a first plant with a nucleotide sequence capable of expressing a wild-type prokaryotic MutS, or a mutant form of MutS consisting of a defect in the ATP-binding site, wherein the mutant form of MutS is capable of binding to nucleotide mismatch regions in DNA, within a germ cell undergoing meiosis, b) mating the first plant with a second plant to produce a first progeny with increased recombination, c) mating the first progeny to produce a next generation comprising a hybrid chromosome, and d) identifying the hybrid chromosome in the next generation. | 1. A method of increasing recombination between two plants comprising the steps of: a) providing a first plant with a nucleotide sequence capable of expressing a wild-type prokaryotic MutS, or a mutant form of MutS consisting of a defect in the ATP-binding site, wherein the mutant form of MutS is capable of binding to nucleotide mismatch regions in DNA, within a germ cell undergoing meiosis, b) mating the first plant with a second plant to produce a first progeny with increased recombination, c) mating the first progeny to produce a next generation comprising a hybrid chromosome, and d) identifying the hybrid chromosome in the next generation. 15. The method of claim 1 wherein, following the step (b) of mating, the first progeny having increased recombination potential are identified. | 0.769797 |
3. The method of claim 2 , further comprising associating the database query with a given markup language element in the document for writing the results of the database query into the document in a location in the document associated with the database query. | 3. The method of claim 2 , further comprising associating the database query with a given markup language element in the document for writing the results of the database query into the document in a location in the document associated with the database query. 4. The method of claim 3 , further comprising storing a programming procedure in the database for reading the data from the database and for writing the data to the document in a location in the document associated with the given markup language element. | 0.941489 |
9. A device, comprising: a memory to store instructions; and a processor to execute the instructions to: automatically process an asset including content and metadata; automatically select a data map to perform transforming of the metadata, wherein the transforming includes converting the metadata to a target metadata format; automatically perform the transforming of a validated metadata based on the data map, wherein the transforming includes converting the metadata to the target metadata format, and wherein the target metadata format includes one or more extendible fields and values that correspond to one or more fields and values included in a source metadata format of the metadata and not provided by a standard of a metadata format on which the target metadata format is based and the target metadata format includes each of the fields and values provided by the standard of the metadata format on which the target metadata format is based, and wherein the transforming includes using the one or more extendible fields when one or more fields of the validated metadata do not have corresponding one or more fields afforded by the standard of the metadata format; and automatically store a target metadata based on the automatically performing. | 9. A device, comprising: a memory to store instructions; and a processor to execute the instructions to: automatically process an asset including content and metadata; automatically select a data map to perform transforming of the metadata, wherein the transforming includes converting the metadata to a target metadata format; automatically perform the transforming of a validated metadata based on the data map, wherein the transforming includes converting the metadata to the target metadata format, and wherein the target metadata format includes one or more extendible fields and values that correspond to one or more fields and values included in a source metadata format of the metadata and not provided by a standard of a metadata format on which the target metadata format is based and the target metadata format includes each of the fields and values provided by the standard of the metadata format on which the target metadata format is based, and wherein the transforming includes using the one or more extendible fields when one or more fields of the validated metadata do not have corresponding one or more fields afforded by the standard of the metadata format; and automatically store a target metadata based on the automatically performing. 14. The device of claim 9 , wherein the processor to execute the instructions to: automatically detect duplicate assets based on a file name, a file size, and a file checksum; and automatically purge a duplicate asset based on a detection of the duplicate assets. | 0.713734 |
15. A system comprising: a computing device configured for detecting, in a query string being entered into a query entry box by a user, a character pattern of a plurality of patterns, wherein the detecting does not require that an explicit indicator of submission of the query string be provided by the user, and wherein the plurality of patterns comprises: a first pattern indicating a series of characters followed by a space character, and a second pattern indicating one or more characters followed by a predefined time delay before any additional characters are entered into the query entry box by the user; and the computing device further configured for providing, in response to the detecting, both an updated query result list and an updated list of one or more query refinement options, wherein both the updated query result list and the updated list of one or more query refinement options correspond to the detected search query character pattern. | 15. A system comprising: a computing device configured for detecting, in a query string being entered into a query entry box by a user, a character pattern of a plurality of patterns, wherein the detecting does not require that an explicit indicator of submission of the query string be provided by the user, and wherein the plurality of patterns comprises: a first pattern indicating a series of characters followed by a space character, and a second pattern indicating one or more characters followed by a predefined time delay before any additional characters are entered into the query entry box by the user; and the computing device further configured for providing, in response to the detecting, both an updated query result list and an updated list of one or more query refinement options, wherein both the updated query result list and the updated list of one or more query refinement options correspond to the detected search query character pattern. 17. The system of claim 15 wherein the plurality of patterns further comprises a fourth pattern indicating a predefined number of characters. | 0.6875 |
18. An apparatus, comprising: a memory comprising machine readable instructions; a processor to execute the instructions to cause a machine to perform operations comprising: detecting an attempt of a first participant and a second participant to speak at substantially a same time; detecting which one of the first and second participants has a lower priority ranking; blocking an audio signal of the one of the first participant and the second participant having the lower priority ranking; placing an identifier associated with the blocked one of the first and second participants in a queue; organizing the queue according to a behavior-based policy, wherein organizing the queue according to the behavior-based policy comprises comparing an utterance of a current speaker to a keyword associated with the conference call to determine a relevancy of the utterance; and increasing a first point total associated with the current speaker in response to determining that the utterance is substantially relevant, and decreasing the first point total associated with the current speaker in response to determining that the utterance is substantially irrelevant. | 18. An apparatus, comprising: a memory comprising machine readable instructions; a processor to execute the instructions to cause a machine to perform operations comprising: detecting an attempt of a first participant and a second participant to speak at substantially a same time; detecting which one of the first and second participants has a lower priority ranking; blocking an audio signal of the one of the first participant and the second participant having the lower priority ranking; placing an identifier associated with the blocked one of the first and second participants in a queue; organizing the queue according to a behavior-based policy, wherein organizing the queue according to the behavior-based policy comprises comparing an utterance of a current speaker to a keyword associated with the conference call to determine a relevancy of the utterance; and increasing a first point total associated with the current speaker in response to determining that the utterance is substantially relevant, and decreasing the first point total associated with the current speaker in response to determining that the utterance is substantially irrelevant. 19. An apparatus as defined in claim 18 , wherein the operations further comprise enabling the audio signal of a second one of the first and second participants when the one of the first and second participants is finished speaking and when the second one of the first and second participant is in a first position of the queue. | 0.527556 |
16. The method of claim 15 further comprising: searching a network for content items that contain the embedded code; and for each content item on the network containing embedded code, storing in the database information identifying the content item as a content item containing the embedded code. | 16. The method of claim 15 further comprising: searching a network for content items that contain the embedded code; and for each content item on the network containing embedded code, storing in the database information identifying the content item as a content item containing the embedded code. 20. The method of claim 16 further comprising: for each content item on the network containing the embedded code, storing in the database information identifying the embedded code contained in the content item. | 0.876952 |
1. A system comprising: a database system implemented using a server system comprising one or more processors, the database system configurable to cause: processing a post shared by a user of an online social network in a feed of the online social network, the post comprising textual content and being identifiable through one or more objects stored in a database, the feed being displayable in a user interface on a display device, the processing of the post comprising: identifying a first keyword of the textual content of the post as being preceded by a first tag to define a first tagged keyword, identifying a first data source specified by the first tag, the first data source being external to the database system, identifying a second keyword of the textual content of the post as being preceded by the first tag or a second tag to define a second tagged keyword, and identifying a second data source specified by the first tag or the second tag, the second data source being different from the first data source and being external to the database system; requesting a first search of the first data source using the first keyword; requesting a second search of the second data source using the second keyword; and processing a plurality of content records identified by the searches, the processing of the content records comprising: selecting one or more of the content records as satisfying criteria specifying one or more of: a visibility of a content record, a relevance of a content record, a designated data source for a content record, a type of a content record, an action to perform in association with a content record, or a time range for an action to be performed in association with a content record, and responsive to selecting the one or more content records as satisfying the criteria, automatically generating and sharing in the feed a comment on the post, the comment comprising at least a portion of record content of the selected one or more content records; selecting a further content record in accordance with further criteria, the further criteria being configurable using a settings interface; automatically generating and sharing in the feed one or more further comments on the post, the one or more further comments comprising at least a portion of record content of the selected further content record; and automatically generating, using one or more heuristics, a feed tracked update associated with the selected further content record. | 1. A system comprising: a database system implemented using a server system comprising one or more processors, the database system configurable to cause: processing a post shared by a user of an online social network in a feed of the online social network, the post comprising textual content and being identifiable through one or more objects stored in a database, the feed being displayable in a user interface on a display device, the processing of the post comprising: identifying a first keyword of the textual content of the post as being preceded by a first tag to define a first tagged keyword, identifying a first data source specified by the first tag, the first data source being external to the database system, identifying a second keyword of the textual content of the post as being preceded by the first tag or a second tag to define a second tagged keyword, and identifying a second data source specified by the first tag or the second tag, the second data source being different from the first data source and being external to the database system; requesting a first search of the first data source using the first keyword; requesting a second search of the second data source using the second keyword; and processing a plurality of content records identified by the searches, the processing of the content records comprising: selecting one or more of the content records as satisfying criteria specifying one or more of: a visibility of a content record, a relevance of a content record, a designated data source for a content record, a type of a content record, an action to perform in association with a content record, or a time range for an action to be performed in association with a content record, and responsive to selecting the one or more content records as satisfying the criteria, automatically generating and sharing in the feed a comment on the post, the comment comprising at least a portion of record content of the selected one or more content records; selecting a further content record in accordance with further criteria, the further criteria being configurable using a settings interface; automatically generating and sharing in the feed one or more further comments on the post, the one or more further comments comprising at least a portion of record content of the selected further content record; and automatically generating, using one or more heuristics, a feed tracked update associated with the selected further content record. 4. The system of claim 1 , wherein a workflow rule specifies one or more of: types of content records, data sources to use, data sources not to use, actions to perform, or time ranges. | 0.64059 |
13. A system comprising: a memory storage; and one or more processing units coupled to the memory storage, wherein the one or more processing units are operable to: receive a piece of source video content; receive a selection to share annotations with a group of users who have access to the source video content; receive an indication to record a first annotation comprising a video annotation having an audio track at a location in the source video content, wherein the location comprises an annotation linkage location; create metadata associating the first annotation to the location in the source video content; receive a new annotation associated with the first annotation and the location in the source video content; create metadata associating the new annotation with the first annotation and the location in the source video content; convert the audio track of the video annotation to text to enable display of the text of the converted audio track and preclude simultaneous audio track playback; notify one or more users of the group of users that the annotations are shared and that the first annotation and the new annotation are associated with the source video content; control interaction with the annotations according to varying levels of control that include controlling which of the one or more users can access the annotations and which of the one or more users can create associated annotations; request a list of annotation linkage locations for annotations associated with the source video content prior to playback of the source video content including annotation linkage locations associated with the new annotation and the first annotation; enable a display of the first annotation and the new annotation synchronously with playback of the source video content with the simultaneous audio track playback according to an optimal viewing format; enable a display the first annotation and the new annotation synchronously with playback of the source video content absent the simultaneous audio track playback according to a different optimal viewing format; and store the first annotation, the new annotation, and the associated metadata, wherein the associated metadata includes annotation metadata comprising a list of points in the source video content and a link to one or more annotations associated with each point including a timestamp, a frame marker, a chapter marker, or another annotation. | 13. A system comprising: a memory storage; and one or more processing units coupled to the memory storage, wherein the one or more processing units are operable to: receive a piece of source video content; receive a selection to share annotations with a group of users who have access to the source video content; receive an indication to record a first annotation comprising a video annotation having an audio track at a location in the source video content, wherein the location comprises an annotation linkage location; create metadata associating the first annotation to the location in the source video content; receive a new annotation associated with the first annotation and the location in the source video content; create metadata associating the new annotation with the first annotation and the location in the source video content; convert the audio track of the video annotation to text to enable display of the text of the converted audio track and preclude simultaneous audio track playback; notify one or more users of the group of users that the annotations are shared and that the first annotation and the new annotation are associated with the source video content; control interaction with the annotations according to varying levels of control that include controlling which of the one or more users can access the annotations and which of the one or more users can create associated annotations; request a list of annotation linkage locations for annotations associated with the source video content prior to playback of the source video content including annotation linkage locations associated with the new annotation and the first annotation; enable a display of the first annotation and the new annotation synchronously with playback of the source video content with the simultaneous audio track playback according to an optimal viewing format; enable a display the first annotation and the new annotation synchronously with playback of the source video content absent the simultaneous audio track playback according to a different optimal viewing format; and store the first annotation, the new annotation, and the associated metadata, wherein the associated metadata includes annotation metadata comprising a list of points in the source video content and a link to one or more annotations associated with each point including a timestamp, a frame marker, a chapter marker, or another annotation. 20. The system of claim 13 , wherein the first annotation is a sponsored annotation and the one or more processing units are further operable to: receive an indication of a selection from a first user to view the source video content; determine if the first user has opted out of receiving sponsored annotations; and if the first user has not opted out of receiving sponsored annotations, provide the first annotation and associated metadata for display or play of the first annotation, wherein the first annotation is synchronized with the source video content. | 0.540215 |
1. An automated training system comprising: a database containing audio files and a training script that defines a sequence of the audio files making up a training call; a training engine that automatically makes a call to an external system via a first communications connection, executes the training script and outputs audio data contained in the audio files to the external system via the first communications connection in accordance with the training script; a response receiver that receives: a) voice data from the external system, the voice data representing voice responses of a user of the external system to the training call, the response receiver comprising an automated speech recognition system that receives and interprets the voice data and a speech analysis component that receives the voice data and determines the tone of the voice of the user of the external system based on the voice data, and b) receives external system response data representing the responses of the user of the external system to the training call via the external system, the responses being made via one or more input devices, wherein the received external system response data comprises data representing a screen displayed to the user of the external system; and an analysis engine that: receives data representing the voice responses from the automated speech recognition system, determines the number of words in the voice responses that were not understood by the automated speech recognition system, compares the voice responses of the user of the external system to stored expected voice responses, compares the external system responses of the user of the external system to stored correct external system responses, receives data representing the tone of the voice of the user of the external system from the speech analysis component, and generates a scoring report for the user based on the determined number of words in the voice responses that were not understood, the comparison of the voice responses, the tone, and the comparison of the external system responses. | 1. An automated training system comprising: a database containing audio files and a training script that defines a sequence of the audio files making up a training call; a training engine that automatically makes a call to an external system via a first communications connection, executes the training script and outputs audio data contained in the audio files to the external system via the first communications connection in accordance with the training script; a response receiver that receives: a) voice data from the external system, the voice data representing voice responses of a user of the external system to the training call, the response receiver comprising an automated speech recognition system that receives and interprets the voice data and a speech analysis component that receives the voice data and determines the tone of the voice of the user of the external system based on the voice data, and b) receives external system response data representing the responses of the user of the external system to the training call via the external system, the responses being made via one or more input devices, wherein the received external system response data comprises data representing a screen displayed to the user of the external system; and an analysis engine that: receives data representing the voice responses from the automated speech recognition system, determines the number of words in the voice responses that were not understood by the automated speech recognition system, compares the voice responses of the user of the external system to stored expected voice responses, compares the external system responses of the user of the external system to stored correct external system responses, receives data representing the tone of the voice of the user of the external system from the speech analysis component, and generates a scoring report for the user based on the determined number of words in the voice responses that were not understood, the comparison of the voice responses, the tone, and the comparison of the external system responses. 9. The automated training system according to claim 1 , wherein the generation of the scoring report is based on a scoring matrix including fields related to the determined number of words in the voice responses that were not understood, the comparison of the voice responses, the tone, and the comparison of the external system responses. | 0.540693 |
11. An apparatus for searching audio files in a portable audio player in combination with an automobile audio system, comprising: means for reading meta-tag data associated with each audio file and producing voice data files for information retrieved from the meta-tag data; means for creating a play list that lists the voice data files produced based on the meta-tag data in an predetermined order where each of the voice data files and audio files is accompanied by address data; means for storing the play list and the audio files in the portable audio player; means for connecting the portable audio player with the automobile audio system for sending the voice data files in the play list and the audio files to the automobile audio system and receiving command signals from the automobile audio system; means for generating speech sounds that successively and automatically read aloud the data in the voice data files in the play list by the automobile audio system in a predetermined order and speed; means for accepting user's commands made in response to the speech sounds where the user's commands are transmitted through the automobile audio system to the portable audio player; and means for searching an audio file in the portable audio player based on the user's commands; wherein the speech sounds generated from the automobile audio system include a series of information on audio files so that a particular audio file is specified when both the information on the particular audio file is announced by the speech sounds and the user's commands are issued. | 11. An apparatus for searching audio files in a portable audio player in combination with an automobile audio system, comprising: means for reading meta-tag data associated with each audio file and producing voice data files for information retrieved from the meta-tag data; means for creating a play list that lists the voice data files produced based on the meta-tag data in an predetermined order where each of the voice data files and audio files is accompanied by address data; means for storing the play list and the audio files in the portable audio player; means for connecting the portable audio player with the automobile audio system for sending the voice data files in the play list and the audio files to the automobile audio system and receiving command signals from the automobile audio system; means for generating speech sounds that successively and automatically read aloud the data in the voice data files in the play list by the automobile audio system in a predetermined order and speed; means for accepting user's commands made in response to the speech sounds where the user's commands are transmitted through the automobile audio system to the portable audio player; and means for searching an audio file in the portable audio player based on the user's commands; wherein the speech sounds generated from the automobile audio system include a series of information on audio files so that a particular audio file is specified when both the information on the particular audio file is announced by the speech sounds and the user's commands are issued. 20. An apparatus for searching an audio file as defined in claim 11 , further comprising means for receiving the audio file selected by the user from the portable audio player and reproducing the audio file through the automobile audio system. | 0.601819 |
28. An apparatus comprising a computer-readable medium tangibly storing instructions executable by a computer processor to perform a method comprising: (A) deriving, from a region of a document and a corresponding region of a spoken audio stream, a likelihood score representing a likelihood that the region of the document correctly represents content in the corresponding region of the spoken audio stream; (B) selecting a relevance score representing a measure of relevance of the region of the spoken audio stream, the measure of relevance representing a measure of importance that the region of the spoken audio stream be brought to the attention of a human proofreader; and (C) deriving, by performing a calculation on the likelihood score and the relevance score, an emphasis factor for modifying emphasis placed on the region of the spoken audio stream when played back. | 28. An apparatus comprising a computer-readable medium tangibly storing instructions executable by a computer processor to perform a method comprising: (A) deriving, from a region of a document and a corresponding region of a spoken audio stream, a likelihood score representing a likelihood that the region of the document correctly represents content in the corresponding region of the spoken audio stream; (B) selecting a relevance score representing a measure of relevance of the region of the spoken audio stream, the measure of relevance representing a measure of importance that the region of the spoken audio stream be brought to the attention of a human proofreader; and (C) deriving, by performing a calculation on the likelihood score and the relevance score, an emphasis factor for modifying emphasis placed on the region of the spoken audio stream when played back. 32. The apparatus of claim 28 , wherein (C) comprises deriving, from the likelihood and the measure of relevance, a signal power adjustment factor for adjusting a signal power of the region of the spoken audio stream. | 0.691122 |
10. The method of claim 9 , further comprising: receiving match query that is one of a full string match query type and a sub-string match query type; if the match query is a full string match query type, then finding the appropriate bucket using maximum a posterior probability; and if the match query is a sub-string match query type then (i) estimating the frequency of the sub-string in each bucket, and (ii) computing a weighted sum of bucket selectivity based on said frequency. | 10. The method of claim 9 , further comprising: receiving match query that is one of a full string match query type and a sub-string match query type; if the match query is a full string match query type, then finding the appropriate bucket using maximum a posterior probability; and if the match query is a sub-string match query type then (i) estimating the frequency of the sub-string in each bucket, and (ii) computing a weighted sum of bucket selectivity based on said frequency. 11. The method of claim 10 , wherein the constructing a histogram includes: counting each attribute-value pair in the document; outputting a collection of attribute-value-count triples sorted by said counting; and partitioning the collection of sorted path-value-count triples into said buckets. | 0.86142 |
1. A method for providing a proactive validation of a transformation script, the method being performed by one or more processors and comprising: associating the transformation script with ontology parameters, wherein the ontology parameters include parameters that assign an entity as being an object or a property of an object; initiating a debugging operation of the transformation script having at least one condition, wherein the transformation script uses a builder that defines a definition of the entity as the entity being an object or a property of an object; importing, from a data source, at least one data item for transformation; determining, as part of the debugging operation, whether the at least one condition that uses the at least one data item is valid if the assignment of the entity associated with the transformation script is consistent with the definition of the entity, the determination whether the at least one condition that uses the at least one data item is valid being based on the ontology parameters; and providing an indication of a result associated with the determination, wherein the result is at least one of an expressed result or an implicit result. | 1. A method for providing a proactive validation of a transformation script, the method being performed by one or more processors and comprising: associating the transformation script with ontology parameters, wherein the ontology parameters include parameters that assign an entity as being an object or a property of an object; initiating a debugging operation of the transformation script having at least one condition, wherein the transformation script uses a builder that defines a definition of the entity as the entity being an object or a property of an object; importing, from a data source, at least one data item for transformation; determining, as part of the debugging operation, whether the at least one condition that uses the at least one data item is valid if the assignment of the entity associated with the transformation script is consistent with the definition of the entity, the determination whether the at least one condition that uses the at least one data item is valid being based on the ontology parameters; and providing an indication of a result associated with the determination, wherein the result is at least one of an expressed result or an implicit result. 5. The method of claim 1 , wherein determining comprises: determining that the at least one condition is not valid if the assignment of the entity is inconsistent with the definition of the entity. | 0.649819 |
10. A method for displaying a most common phrase of two or more phrases, comprising: simultaneously submitting each of the two or more phrases as a search string to a search engine; receiving search results from the search engine for each submitted search string; comparing the search results for each search string with each other search result to determine the most common one of the two or more phrases; and displaying, to a user, the most common one of the two or more phrases; wherein the search results comprise a hit value that specifies the number of hits found by the search engine for the search string. | 10. A method for displaying a most common phrase of two or more phrases, comprising: simultaneously submitting each of the two or more phrases as a search string to a search engine; receiving search results from the search engine for each submitted search string; comparing the search results for each search string with each other search result to determine the most common one of the two or more phrases; and displaying, to a user, the most common one of the two or more phrases; wherein the search results comprise a hit value that specifies the number of hits found by the search engine for the search string. 11. The method of claim 10 , the step of submitting further comprising submitting one or more linguistic categories, wherein each search performed by the at least one search engine is restricted to the one or more linguistic categories. | 0.606186 |
3. The method of claim 2 , wherein the set of log data is received by a loader. | 3. The method of claim 2 , wherein the set of log data is received by a loader. 4. The method of claim 3 , wherein the loader is configured to determine based at least in part on data included in the set of log data said parser definition associated with the set of log data. | 0.935095 |
22. The system of claim 13 wherein the service quality analyzer component is configured to determine a meaning of the parsed speech data by identifying a phrase from recognized speech for the communication session. | 22. The system of claim 13 wherein the service quality analyzer component is configured to determine a meaning of the parsed speech data by identifying a phrase from recognized speech for the communication session. 24. The system of claim 22 wherein the service quality analyzer component is configured to use one of a lookup table and a decision tree to identify a service quality indicator in the parsed speech data. | 0.91059 |
1. A system for indexing and retrieving information for social expression cards comprising: means for linking said information for each social expression card to a set of descriptors; means for allowing a user to enter one or more search descriptors; thesaurus means for expanding the list of search descriptors by including equivalent words for the search descriptors; and means for retrieving said information for social expression cards linked to said search descriptors or equivalent words for said search descriptors in said expanded list. | 1. A system for indexing and retrieving information for social expression cards comprising: means for linking said information for each social expression card to a set of descriptors; means for allowing a user to enter one or more search descriptors; thesaurus means for expanding the list of search descriptors by including equivalent words for the search descriptors; and means for retrieving said information for social expression cards linked to said search descriptors or equivalent words for said search descriptors in said expanded list. 3. The system of claim 1, wherein each social expression card is identified by an identifier that is linked to one or more meaning referent sets comprised of items in the thesaurus. | 0.927142 |
1. A method for data input, comprising the steps of: dividing an input selection device into multiple non-overlapping zones, wherein each non-overlapping zone includes two or more individual alphabetic or alphanumeric input selection indicators, wherein one of the alphabetic or alphanumeric input selection indicators in each non-overlapping zone is a jumper selector, and wherein the number of non-overlapping zones is less than the number of individual alphabetic or alphanumeric input selection indicators of the input selection device; receiving a user indication of two or more jumper selectors, wherein each jumper selector corresponds to a selected non-overlapping zone; collecting, into two or more characters sets, all of the individual alphabetic or alphanumeric input selection indicators associated with each selected non-overlapping zone; entering a sequence of the character sets into a parsing algorithm; and identifying, by the parsing algorithm and without further user input, one or more suggested words from a dictionary, wherein the identifying is based on the sequence of character sets. | 1. A method for data input, comprising the steps of: dividing an input selection device into multiple non-overlapping zones, wherein each non-overlapping zone includes two or more individual alphabetic or alphanumeric input selection indicators, wherein one of the alphabetic or alphanumeric input selection indicators in each non-overlapping zone is a jumper selector, and wherein the number of non-overlapping zones is less than the number of individual alphabetic or alphanumeric input selection indicators of the input selection device; receiving a user indication of two or more jumper selectors, wherein each jumper selector corresponds to a selected non-overlapping zone; collecting, into two or more characters sets, all of the individual alphabetic or alphanumeric input selection indicators associated with each selected non-overlapping zone; entering a sequence of the character sets into a parsing algorithm; and identifying, by the parsing algorithm and without further user input, one or more suggested words from a dictionary, wherein the identifying is based on the sequence of character sets. 16. The method of claim 1 , wherein the multiple non-overlapping zones are based on how an input device is being held or used by the user. | 0.643722 |
1. A method, in a data processing system comprising a processor and a memory, for selecting a pipeline of a question and answer (QA) system to process an input question, the method comprising: receiving, in the data processing system, an input question; analyzing, by the data processing system, the input question to identify at least one feature of the input question; performing, by the data processing system, clustering of the input question with one or more previously generated clusters of questions based on the at least one feature of the input question, wherein each cluster in the one or more previously generated clusters is associated with a different QA system pipeline, and wherein each QA system pipeline is trained for answering questions of a different domain; identifying, by the data processing system, a matching cluster, of the one or more previously generated clusters, with which the input question is associated based on a distance of the input question from a center of the identified matching cluster; identifying, by the data processing system, a QA system pipeline associated with the matching cluster; and processing, by the data processing system, the input question using the identified QA system pipeline to generate one or more candidate answers for the input question. | 1. A method, in a data processing system comprising a processor and a memory, for selecting a pipeline of a question and answer (QA) system to process an input question, the method comprising: receiving, in the data processing system, an input question; analyzing, by the data processing system, the input question to identify at least one feature of the input question; performing, by the data processing system, clustering of the input question with one or more previously generated clusters of questions based on the at least one feature of the input question, wherein each cluster in the one or more previously generated clusters is associated with a different QA system pipeline, and wherein each QA system pipeline is trained for answering questions of a different domain; identifying, by the data processing system, a matching cluster, of the one or more previously generated clusters, with which the input question is associated based on a distance of the input question from a center of the identified matching cluster; identifying, by the data processing system, a QA system pipeline associated with the matching cluster; and processing, by the data processing system, the input question using the identified QA system pipeline to generate one or more candidate answers for the input question. 4. The method of claim 1 , wherein identifying a matching cluster, of the one or more previously generated clusters, with which the input question is associated comprises identifying a plurality of matching clusters with which the input question is associated, and wherein identifying a QA system pipeline associated with the matching cluster comprises identifying a plurality of QA system pipelines associated with the plurality of matching clusters. | 0.506139 |
2. The method according to claim 1 , further comprising receiving a user input, and determining, with at least one automated processor, at least one document from the corpus of documents selectively associated with the received user input. | 2. The method according to claim 1 , further comprising receiving a user input, and determining, with at least one automated processor, at least one document from the corpus of documents selectively associated with the received user input. 3. The method according to claim 2 , further comprising ranking a plurality of documents of the corpus of documents in dependence on the received user input and the computer-implemented generative model. | 0.93757 |
8. A computerized apparatus having a processor, the processor being adapted to perform the steps of: executing a query against a knowledge base to retrieve at least one document; retrieving at least one entity associated with the at least one document; assigning at least one relevancy score to the at least one entity, the at least one relevancy score representing a degree of relevance of the at least one entity to topic of the query; obtaining a filtered list by filtering the at least one entity to contain only entities appearing in a predetermined collection; and assessing findability of the query based on the at least one entity and the relevancy score, wherein the findability indicates a degree of difficulty to retrieve information related to the query from the representation of the filtered list. | 8. A computerized apparatus having a processor, the processor being adapted to perform the steps of: executing a query against a knowledge base to retrieve at least one document; retrieving at least one entity associated with the at least one document; assigning at least one relevancy score to the at least one entity, the at least one relevancy score representing a degree of relevance of the at least one entity to topic of the query; obtaining a filtered list by filtering the at least one entity to contain only entities appearing in a predetermined collection; and assessing findability of the query based on the at least one entity and the relevancy score, wherein the findability indicates a degree of difficulty to retrieve information related to the query from the representation of the filtered list. 9. The apparatus of claim 8 , wherein the predetermined collection comprises names of individuals. | 0.526713 |
1. In a network including a plurality of data processing systems each having an associated display device, a method comprising: (a) receiving at each of the data processing systems an interaction event generated by any of the data processing systems; (b) automatically generating a comic panel based on the received interaction event, the comic panel providing a graphical representation of an instance in time of a sequential course of events; (c) displaying the generated comic panel on each of the display devices associated with the data processing systems; (d) when an input associated with a graphical representation of a character is received, automatically generating a balloon that includes text that corresponds to the received input associated with the character and automatically generating a tail that is positioned between a position of the balloon and another position for the graphical representation of the character in a current comic panel, the balloon, tail and graphical representation of the character being automatically disposed at positions that are non-overlapping of any other positions for balloons, tails and graphical representations of characters that were previously positioned for display in the current comic panel; and (e) when the input associated with the character is received and non-overlapping positions for displaying the balloon, tail and graphical representation of the character in the current comic panels are unavailable, automatically displaying a new comic panel that includes the balloon, tail and graphical representation of the character, wherein the balloon, tail and graphical representation of the character are disposed at separate positions that are non-overlapping in the display of the new comic panel. | 1. In a network including a plurality of data processing systems each having an associated display device, a method comprising: (a) receiving at each of the data processing systems an interaction event generated by any of the data processing systems; (b) automatically generating a comic panel based on the received interaction event, the comic panel providing a graphical representation of an instance in time of a sequential course of events; (c) displaying the generated comic panel on each of the display devices associated with the data processing systems; (d) when an input associated with a graphical representation of a character is received, automatically generating a balloon that includes text that corresponds to the received input associated with the character and automatically generating a tail that is positioned between a position of the balloon and another position for the graphical representation of the character in a current comic panel, the balloon, tail and graphical representation of the character being automatically disposed at positions that are non-overlapping of any other positions for balloons, tails and graphical representations of characters that were previously positioned for display in the current comic panel; and (e) when the input associated with the character is received and non-overlapping positions for displaying the balloon, tail and graphical representation of the character in the current comic panels are unavailable, automatically displaying a new comic panel that includes the balloon, tail and graphical representation of the character, wherein the balloon, tail and graphical representation of the character are disposed at separate positions that are non-overlapping in the display of the new comic panel. 5. The method of claim 1, wherein each character has a head portion with at least one facial feature and wherein the interaction event provides an expression indicating a modification of a facial feature of one of the characters. | 0.681771 |
27. A handheld recording storage and retrieval device for navigating a set of stored recordings of on a display of the handheld recording storage and retrieval device, comprising: a handheld display for presenting a display screen for initially displaying only two hierarchical levels of a plurality of hierarchical levels of the set of stored recordings, the display screen having initial headers representing a first one of the plurality of hierarchical levels and oriented according to a first orientation, said initial headers providing top-level categories for filtering the set of stored recordings, wherein each of said initial headers includes an association with a child list, whereby said initial headers form a band of lists represented by the initial headers; means for navigating the initial headers according to the first orientation; the handheld display presenting a list of elements representing a second one of the plurality of hierarchical levels oriented according to a second orientation different from the first orientation, the list of elements associated with a currently selected header of the initial headers as a child list for the currently selected header; means for navigating the list of elements according to the second orientation; means for selecting an element from the list of elements; means for presenting a new screen having the list of elements as element headers displayed according to the first orientation in response to said selecting the element from the list of elements, the element headers including the selected element as a new currently selected header of the element headers and displayed in an order determined by the selecting; means for presenting a second list of elements representing a third one of the plurality of hierarchical levels and associated with the new currently selected header of the element headers as a child list for the new currently selected header, the second list of elements displayed according to the second orientation, the new screen displaying only the element headers and the second list of elements; and means for repeating navigating and selecting until a particular hierarchical level comprising atomic elements is displayed in the second orientation, wherein upon selection of an atomic element of the atomic elements, the display screen displays only the particular hierarchical level in the first orientation with the selected atomic element as an active header and an information display box containing information about the selected atomic element. | 27. A handheld recording storage and retrieval device for navigating a set of stored recordings of on a display of the handheld recording storage and retrieval device, comprising: a handheld display for presenting a display screen for initially displaying only two hierarchical levels of a plurality of hierarchical levels of the set of stored recordings, the display screen having initial headers representing a first one of the plurality of hierarchical levels and oriented according to a first orientation, said initial headers providing top-level categories for filtering the set of stored recordings, wherein each of said initial headers includes an association with a child list, whereby said initial headers form a band of lists represented by the initial headers; means for navigating the initial headers according to the first orientation; the handheld display presenting a list of elements representing a second one of the plurality of hierarchical levels oriented according to a second orientation different from the first orientation, the list of elements associated with a currently selected header of the initial headers as a child list for the currently selected header; means for navigating the list of elements according to the second orientation; means for selecting an element from the list of elements; means for presenting a new screen having the list of elements as element headers displayed according to the first orientation in response to said selecting the element from the list of elements, the element headers including the selected element as a new currently selected header of the element headers and displayed in an order determined by the selecting; means for presenting a second list of elements representing a third one of the plurality of hierarchical levels and associated with the new currently selected header of the element headers as a child list for the new currently selected header, the second list of elements displayed according to the second orientation, the new screen displaying only the element headers and the second list of elements; and means for repeating navigating and selecting until a particular hierarchical level comprising atomic elements is displayed in the second orientation, wherein upon selection of an atomic element of the atomic elements, the display screen displays only the particular hierarchical level in the first orientation with the selected atomic element as an active header and an information display box containing information about the selected atomic element. 29. A handheld recording storage and retrieval device according to claim 27 , further including means for navigating the initial headers according to the first orientation and said means for navigating the initial headers includes means for moving to a next header according to the first orientation and corresponding means for displaying a child list for that next header. | 0.534212 |
16. A transitory computer readable medium storing computer instructions that when executed by at least one processor causes a computing device to: generate a converted electronic document from a paper document; automatically fragment the converted electronic document into fragments; identify content of each fragment of the converted electronic document; search for one or more electronic documents corresponding to the converted electronic document using the content from multiple fragments; identify a first electronic document corresponding to a first fragment; identify a second electronic document corresponding to a second fragment, the first and second electronic documents comprising different documents; extract electronic properties from the first and second electronic documents; and apply the electronic properties extracted from the first and second electronic documents to the content of the converted electronic document. | 16. A transitory computer readable medium storing computer instructions that when executed by at least one processor causes a computing device to: generate a converted electronic document from a paper document; automatically fragment the converted electronic document into fragments; identify content of each fragment of the converted electronic document; search for one or more electronic documents corresponding to the converted electronic document using the content from multiple fragments; identify a first electronic document corresponding to a first fragment; identify a second electronic document corresponding to a second fragment, the first and second electronic documents comprising different documents; extract electronic properties from the first and second electronic documents; and apply the electronic properties extracted from the first and second electronic documents to the content of the converted electronic document. 18. The computer readable medium as claimed in claim 16 , wherein the instructions, when executed by the at least one processor, cause the computing device to search for one or more electronic documents by: using content on a first page of the converted electronic document for searching; and identifying a first document page, having at least page-threshold-value of similarity with the content of the first page of the converted electronic document, as the first electronic document. | 0.504286 |
13. A computing device comprising: a display; one or more processors; and one or more computer-readable media including instructions that, when executed by the one or more processors, program the one or more processors to: present, on the display, a first portion of content of an electronic version of a content item; receive, via a user interface, a first page label associated with a print version of the content item; determine, based at least in part on a data object, a first position in the content associated with the first page label, wherein the data object indicates associations between page labels from the print version and positions of respective portions of content in the electronic version; present, on the display, a second portion of content of the electronic version corresponding to the first position; receive a selection of a third portion of content of the electronic version as a selected portion; generate a textual citation corresponding to the selected portion; determine, from the data object, based at least in part on a second position associated with the selected portion, a second page label associated with the selected portion; and present the textual citation associated with selected portion, the textual citation including the second page label. | 13. A computing device comprising: a display; one or more processors; and one or more computer-readable media including instructions that, when executed by the one or more processors, program the one or more processors to: present, on the display, a first portion of content of an electronic version of a content item; receive, via a user interface, a first page label associated with a print version of the content item; determine, based at least in part on a data object, a first position in the content associated with the first page label, wherein the data object indicates associations between page labels from the print version and positions of respective portions of content in the electronic version; present, on the display, a second portion of content of the electronic version corresponding to the first position; receive a selection of a third portion of content of the electronic version as a selected portion; generate a textual citation corresponding to the selected portion; determine, from the data object, based at least in part on a second position associated with the selected portion, a second page label associated with the selected portion; and present the textual citation associated with selected portion, the textual citation including the second page label. 19. The computing device as recited in claim 13 , wherein the positions of the respective portions of content are expressed within the data object as at least one of: a number of bytes from a reference point of the electronic version; a number of characters from the reference point of the electronic version; or a number of words from the reference point of the electronic version. | 0.716276 |
1. A method for testing a user interface for an application comprising: extending a hardware verification language by defining one or more custom libraries such that the extended hardware verification language can be used to interface with a user interface to a software application in addition to hardware designs, wherein the hardware verification language is different from a programming language used to create the user interface to the software application, and is a programming language specifically designed for verification of hardware designs, and wherein the extended hardware verification language is extended by providing an API (applications programming interface) corresponding to the e language; generating a test for the user interface to the software application written in the extended hardware verification language; using the test written in the extended hardware verification language to drive one or more elements of the user interface to the software application; collecting data resulting from driving the user interface to the software application using the test; analyzing the data from driving the user interface to the software application; and displaying analysis results or storing the analysis results in a computer readable medium. | 1. A method for testing a user interface for an application comprising: extending a hardware verification language by defining one or more custom libraries such that the extended hardware verification language can be used to interface with a user interface to a software application in addition to hardware designs, wherein the hardware verification language is different from a programming language used to create the user interface to the software application, and is a programming language specifically designed for verification of hardware designs, and wherein the extended hardware verification language is extended by providing an API (applications programming interface) corresponding to the e language; generating a test for the user interface to the software application written in the extended hardware verification language; using the test written in the extended hardware verification language to drive one or more elements of the user interface to the software application; collecting data resulting from driving the user interface to the software application using the test; analyzing the data from driving the user interface to the software application; and displaying analysis results or storing the analysis results in a computer readable medium. 17. The method of claim 1 in which the test is debugged using a verification language debugging tool. | 0.598396 |
4. The method according to claim 1 wherein the contact evaluation parameter is derived from information obtained from a database, the database being accessed based upon an identification of the call. | 4. The method according to claim 1 wherein the contact evaluation parameter is derived from information obtained from a database, the database being accessed based upon an identification of the call. 17. The method according to claim 4 wherein the priority value assigned to the call is increased in priority if the time of receipt of the call is within a predetermined period of time of the close-of-business time of the caller. | 0.900716 |
9. The automatic typographic page formatter set forth in claim 2 wherein said define area means includes means for defining a plurality of named areas and said named area means includes means for formatting text signals to a plurality of said named areas and including means in said named area placement means coupled to said receiving means for determining when said text signals formatted to the respective named areas are to be placed on a page including formatting in a sequence other than the sequence of the received text signals. | 9. The automatic typographic page formatter set forth in claim 2 wherein said define area means includes means for defining a plurality of named areas and said named area means includes means for formatting text signals to a plurality of said named areas and including means in said named area placement means coupled to said receiving means for determining when said text signals formatted to the respective named areas are to be placed on a page including formatting in a sequence other than the sequence of the received text signals. 16. The automatic typographic page formatter set forth in claim 9 further including means in said named area means coupled to said receiving means for receiving other ones of said embedded commands for concatenating text and graphics formatted to predetermined ones of said named areas when placing same onto a page. | 0.904968 |
1. A method for presenting positional information of an object associated with a text, the method comprising: performing iteratively for each selected group of one or more lines of a text a) displaying in a first region of a user interface on an electronic device, one or more lines of a text, each of the one or more lines of the text including at least one of role names, dialogue, and stage directions; b) displaying in a second region of the user interface of the electronic device, an image of a venue associated with the one or more lines of the text, the first region being displayed simultaneously to the second region; c) receiving from a user, the user interface of the electronic device, using an input device, selection of at least one digital representation of an object to relocate the object from a first position to a second position within the image of the venue associated with a selected group of the one or more lines of the text; d) determining, by a processor, at least an x-position and y-position of the digital representation of the object that has been relocated within the image of the venue; e) storing a position of the digital representation of the object within the image of the venue into a positional information record, the positional information record including: an identifier, associated with the selected group of one or more lines of the text, an identifier associated with the digital representation of the object within the image of the venue, and the x-position and y-position of the digital representation of the object within the image of the venue; f) updating the display of the second region for the digital representation of the object at the x-position and y-position within the image of the venue, using information stored in the positional information record associated with the selected group of the one or more lines of the text, wherein the updating of the display comprises providing an animation of the object from a previous position to the relocated position for the selected group of the one or more lines of the text based on a relationship stored in the positional information record comprising a transition between multiple positions of the object in the venue with respect to a plurality of lines of a text, as a subsequent selected group of lines is displayed; and g) repeating steps a through f above for a next selected group of one or more lines of the text. | 1. A method for presenting positional information of an object associated with a text, the method comprising: performing iteratively for each selected group of one or more lines of a text a) displaying in a first region of a user interface on an electronic device, one or more lines of a text, each of the one or more lines of the text including at least one of role names, dialogue, and stage directions; b) displaying in a second region of the user interface of the electronic device, an image of a venue associated with the one or more lines of the text, the first region being displayed simultaneously to the second region; c) receiving from a user, the user interface of the electronic device, using an input device, selection of at least one digital representation of an object to relocate the object from a first position to a second position within the image of the venue associated with a selected group of the one or more lines of the text; d) determining, by a processor, at least an x-position and y-position of the digital representation of the object that has been relocated within the image of the venue; e) storing a position of the digital representation of the object within the image of the venue into a positional information record, the positional information record including: an identifier, associated with the selected group of one or more lines of the text, an identifier associated with the digital representation of the object within the image of the venue, and the x-position and y-position of the digital representation of the object within the image of the venue; f) updating the display of the second region for the digital representation of the object at the x-position and y-position within the image of the venue, using information stored in the positional information record associated with the selected group of the one or more lines of the text, wherein the updating of the display comprises providing an animation of the object from a previous position to the relocated position for the selected group of the one or more lines of the text based on a relationship stored in the positional information record comprising a transition between multiple positions of the object in the venue with respect to a plurality of lines of a text, as a subsequent selected group of lines is displayed; and g) repeating steps a through f above for a next selected group of one or more lines of the text. 2. The method of claim 1 , wherein the object represents one of an actor, a dancer, a marching band participant, or a combination thereof. | 0.604947 |
2. The method of claim 1 , wherein said analyses perform Bayesian inferential logic of types selected from the group consisting of derivative list diagnostic inference analysis, derivative list causal inference analysis, and derivative list intercausal analysis. | 2. The method of claim 1 , wherein said analyses perform Bayesian inferential logic of types selected from the group consisting of derivative list diagnostic inference analysis, derivative list causal inference analysis, and derivative list intercausal analysis. 6. The method of claim 2 , wherein said derived list intercausal analysis performed by said rules engine analyzes the probability of one potential cause having a given value given a known value for another cause. | 0.950442 |
2. The method of claim 1 , wherein the semantic group is a formal grammar. | 2. The method of claim 1 , wherein the semantic group is a formal grammar. 4. The method of claim 2 , wherein the suggested phrase corresponds to the supplied phrase with the first term replaced with the formal grammar. | 0.949442 |
8. A system comprising: one or more server devices to: identify entity identifiers, where each of the entity identifiers is associated with a document that was selected, from a plurality of documents, based on a search query including a same variation of an entity name; determine whether a total quantity of selections of the document associated with a particular entity identifier, of the entity identifiers, is greater than a total quantity of selections of each of the documents associated with other ones of the entity identifiers; and store, based on a result of the determining, the same variation of the entity name in a first memory that is used for rewriting search queries or a second memory that is used for suggesting rewritten search queries, where the same variation of the entity name is stored in the second memory when the total quantity of selections of the document associated with the particular entity identifier is greater than the total quantity of selections of each of the documents associated with the other ones of the entity identifiers, and where the same variation of the entity name is stored in the first memory when the total quantity of selections of the document associated with the particular entity identifier is substantially greater than the total quantity of selections of each of the documents associated with the other ones of the entity identifiers. | 8. A system comprising: one or more server devices to: identify entity identifiers, where each of the entity identifiers is associated with a document that was selected, from a plurality of documents, based on a search query including a same variation of an entity name; determine whether a total quantity of selections of the document associated with a particular entity identifier, of the entity identifiers, is greater than a total quantity of selections of each of the documents associated with other ones of the entity identifiers; and store, based on a result of the determining, the same variation of the entity name in a first memory that is used for rewriting search queries or a second memory that is used for suggesting rewritten search queries, where the same variation of the entity name is stored in the second memory when the total quantity of selections of the document associated with the particular entity identifier is greater than the total quantity of selections of each of the documents associated with the other ones of the entity identifiers, and where the same variation of the entity name is stored in the first memory when the total quantity of selections of the document associated with the particular entity identifier is substantially greater than the total quantity of selections of each of the documents associated with the other ones of the entity identifiers. 14. The system of claim 8 , where the one or more server devices are further to: generate variations of the entity name, where, when generating the variations of the entity name, the one or more server devices are to: modify the entity name by at least one of: removing modifiers, replacing spaces with hyphens or underscores, replacing hyphens or underscores with spaces, removing apostrophes, replacing “and” with “&,” replacing “&” with “and,” or removing “and” and “&.” | 0.665035 |
1. An input and output device, comprising: a communication part configured to receive documents via a network; a storing part configured to store the documents received via the communication part; a printing part configured to print the documents; a setting part configured to set management information; a clock part configured to count day and time; a periodic implementation part configured to control at least the communication part, the storing part and the printing part based on the set management information and a time notification indicating the counted day and time outputted from the clock part, the periodic implementation part controlling the printing part to not print the stored documents received from the communication part until a designated period specified by the set management information; and a display screen configured to display a print error mark in proximity to a displayed thumbnail image of a stored document if an error occurs with printing the stored document, the display screen configured to display a print mark in proximity to the displayed thumbnail image of the stored document if the stored document is printed, wherein the stored document is one of the stored documents; and a forwarding part configured to forward the stored document to a designated address based on the set management information so that the stored document is forwarded, wherein the display screen is configured to display a forwarding error mark in proximity to the displayed thumbnail image of the stored document if an error occurs when forwarding the stored document. | 1. An input and output device, comprising: a communication part configured to receive documents via a network; a storing part configured to store the documents received via the communication part; a printing part configured to print the documents; a setting part configured to set management information; a clock part configured to count day and time; a periodic implementation part configured to control at least the communication part, the storing part and the printing part based on the set management information and a time notification indicating the counted day and time outputted from the clock part, the periodic implementation part controlling the printing part to not print the stored documents received from the communication part until a designated period specified by the set management information; and a display screen configured to display a print error mark in proximity to a displayed thumbnail image of a stored document if an error occurs with printing the stored document, the display screen configured to display a print mark in proximity to the displayed thumbnail image of the stored document if the stored document is printed, wherein the stored document is one of the stored documents; and a forwarding part configured to forward the stored document to a designated address based on the set management information so that the stored document is forwarded, wherein the display screen is configured to display a forwarding error mark in proximity to the displayed thumbnail image of the stored document if an error occurs when forwarding the stored document. 5. The input and output device as claimed in claim 1 ; wherein the documents are received via e-mail or facsimile. | 0.545898 |
26. The computer-program product of claim 25 , wherein the predictive information includes behavioral information and information associated with the request for the web page. | 26. The computer-program product of claim 25 , wherein the predictive information includes behavioral information and information associated with the request for the web page. 27. The computer-program product of claim 26 , wherein the behavioral information includes a time of one or more previous visits in a domain that includes the requested web page, a time that the web page was last requested, a number of visits in the domain, a number of times that the object has been presented, and a number of times that the object has been selected. | 0.858751 |
10. A tag recommendation system for annotating content objects including: an annotation module comprising an annotation relationship detector and ranking processor wherein each object is characterized by an associated set of content features and the processor determines a first annotation relationship between the features and predetermined tags for the object, the relationship being defined by a graph construction representative of an affinity relationship between the predetermined tags and content objects to a selected query; and, determining a second annotation relationship representative of frequency of tagging usaqe of each of the set of predetermined tags, wherein the processor ranks a plurality of the annotation relationships based upon a relevance of the predetermined tags to the content features in response to a user input of a user tag preference for assigning a new tag to the object, and suggesting suggested tags from the ranking as most likely for annotating the content object. | 10. A tag recommendation system for annotating content objects including: an annotation module comprising an annotation relationship detector and ranking processor wherein each object is characterized by an associated set of content features and the processor determines a first annotation relationship between the features and predetermined tags for the object, the relationship being defined by a graph construction representative of an affinity relationship between the predetermined tags and content objects to a selected query; and, determining a second annotation relationship representative of frequency of tagging usaqe of each of the set of predetermined tags, wherein the processor ranks a plurality of the annotation relationships based upon a relevance of the predetermined tags to the content features in response to a user input of a user tag preference for assigning a new tag to the object, and suggesting suggested tags from the ranking as most likely for annotating the content object. 13. The system of claim 10 wherein the first annotation relationship comprises computing ranking vectors for the content objects and predetermined tags, respectively, in accordance with an iterative evaluation for identifying a converging correlation between the content objects and the predetermined tags in response to the selected query. | 0.573197 |
7. A teaching material generation method for a specific language, comprising: providing, in a storage module, a plurality of social circumstances and a plurality of contextual situations, wherein the contextual situations comprise people, event, time, location, objects, or expressions, and the social circumstances comprise greetings, requests, descriptions, praising, apologizing, invitations, responses, promising, declining, or farewell; providing, in a storage module, a plurality of basic sentence patterns; receiving, by a user interface, a selection corresponding to at least one of the basic sentence patterns; receiving, by the user interface, a selection corresponding to at least one of the social circumstances; receiving, by the user interface, a selection corresponding to at least one of the contextual situations; and generating, by a processing module, teaching material corresponding to the selected basic sentence pattern according to the social circumstances and the contextual situations. | 7. A teaching material generation method for a specific language, comprising: providing, in a storage module, a plurality of social circumstances and a plurality of contextual situations, wherein the contextual situations comprise people, event, time, location, objects, or expressions, and the social circumstances comprise greetings, requests, descriptions, praising, apologizing, invitations, responses, promising, declining, or farewell; providing, in a storage module, a plurality of basic sentence patterns; receiving, by a user interface, a selection corresponding to at least one of the basic sentence patterns; receiving, by the user interface, a selection corresponding to at least one of the social circumstances; receiving, by the user interface, a selection corresponding to at least one of the contextual situations; and generating, by a processing module, teaching material corresponding to the selected basic sentence pattern according to the social circumstances and the contextual situations. 12. The method of claim 7 , further comprising generating characters, vocabulary, explanations, sample sentences, or grammar theory corresponding to the teaching material. | 0.582797 |
10. A computer program product stored on a computer-readable medium that includes instructions that, when loaded into memory, cause a processor to perform a method, the method comprising: accessing profiles for a plurality of users of the social networking system, each profile identifying a connection to each of a plurality of other users of the social networking system, the plurality of users comprising a viewing user; receiving a message from a third party system that is in a different domain than the social networking system, the message identifying the third party system and describing an action performed on a web page of the third party system by the viewing user; generating, by a computer of the social networking system, a confirmation message for display in a user interface to the viewing user on the third party system, the confirmation message providing an example of a story that could be provided to a plurality of connections of the viewing user, the story describing the action performed on the third party system by the viewing user; sending, by the computer of the social networking system to the third party system, the generated confirmation message for display in the user interface within a nested iframe on the web page of the third party system, the nested iframe being within a domain of the social networking system and allowing communication from the social networking system to the user on the web page of the third party system without sharing personal information that the social networking system has for the viewing user; receiving an indication of whether the viewing user opts in or opts out of allowing the story describing the action performed on the third party system by the viewing user to be provided to the plurality of connections based on the user having selected an opt in or opt out feature in the nested iframe on the user interface; based on the viewing user opting in to allowing the story to be provided to the plurality of connections, generating a plurality of news feeds each including the story describing the action in addition to a plurality of other stories describing other actions taken by other users of the social networking system; and providing for display to each of the plurality of connections a user interface including the generated news feed for the connection, wherein different connections receive different sets of other stories in the news feed. | 10. A computer program product stored on a computer-readable medium that includes instructions that, when loaded into memory, cause a processor to perform a method, the method comprising: accessing profiles for a plurality of users of the social networking system, each profile identifying a connection to each of a plurality of other users of the social networking system, the plurality of users comprising a viewing user; receiving a message from a third party system that is in a different domain than the social networking system, the message identifying the third party system and describing an action performed on a web page of the third party system by the viewing user; generating, by a computer of the social networking system, a confirmation message for display in a user interface to the viewing user on the third party system, the confirmation message providing an example of a story that could be provided to a plurality of connections of the viewing user, the story describing the action performed on the third party system by the viewing user; sending, by the computer of the social networking system to the third party system, the generated confirmation message for display in the user interface within a nested iframe on the web page of the third party system, the nested iframe being within a domain of the social networking system and allowing communication from the social networking system to the user on the web page of the third party system without sharing personal information that the social networking system has for the viewing user; receiving an indication of whether the viewing user opts in or opts out of allowing the story describing the action performed on the third party system by the viewing user to be provided to the plurality of connections based on the user having selected an opt in or opt out feature in the nested iframe on the user interface; based on the viewing user opting in to allowing the story to be provided to the plurality of connections, generating a plurality of news feeds each including the story describing the action in addition to a plurality of other stories describing other actions taken by other users of the social networking system; and providing for display to each of the plurality of connections a user interface including the generated news feed for the connection, wherein different connections receive different sets of other stories in the news feed. 11. The computer program product of claim 10 , wherein the story comprises a social advertisement for display to the connections of the viewing user based on the action taken by the viewing user on the third party system. | 0.529984 |
13. The handheld electronic device of claim 12 , wherein the operations further comprise: determining whether the associated language object is one of the identified language objects. | 13. The handheld electronic device of claim 12 , wherein the operations further comprise: determining whether the associated language object is one of the identified language objects. 14. The handheld electronic device of claim 13 , wherein the associated language object is outputted when it is determined that the associated language object is not one of the identified language objects. | 0.914197 |
4. The system of claim 3 wherein the Attributes information in an Annotation can be used to add further information to the span. | 4. The system of claim 3 wherein the Attributes information in an Annotation can be used to add further information to the span. 5. The system of claim 4 wherein the further information can include Part of Speech (POS) information. | 0.969194 |
1. A supervisory process control and manufacturing information application development and execution system for supporting execution of scripts comprising computer-executable instructions stored on a non-transient computer-readable medium and a processor for executing the stored instructions, the system comprising: a script editor interface having a common script editor and at least one language specific editor, the script editor interface facilitating specifying scripts for a plurality of types of objects, and wherein the script editor interface supports multiple distinct user-side script languages, the script editor interface generating output including tags indicating a particular one of multiple distinct user-side script languages wherein the tags are applied to at least one of a particular instruction, a particular group of instructions, and an entire script; a script translation component including routines for rendering execution-side script of a single execution-side scripting language from source script rendered by the script editor and written according to any of a set of user-side script languages, the set of user-side script languages including at least: a first text-based scripting language, and a second graphical object-based scripting language, and a scripting engine for executing the execution-side script in a run-time environment during each scan cycle of a single execution-side scripting language generated by the script translation component for the first scripting language and the second scripting language. | 1. A supervisory process control and manufacturing information application development and execution system for supporting execution of scripts comprising computer-executable instructions stored on a non-transient computer-readable medium and a processor for executing the stored instructions, the system comprising: a script editor interface having a common script editor and at least one language specific editor, the script editor interface facilitating specifying scripts for a plurality of types of objects, and wherein the script editor interface supports multiple distinct user-side script languages, the script editor interface generating output including tags indicating a particular one of multiple distinct user-side script languages wherein the tags are applied to at least one of a particular instruction, a particular group of instructions, and an entire script; a script translation component including routines for rendering execution-side script of a single execution-side scripting language from source script rendered by the script editor and written according to any of a set of user-side script languages, the set of user-side script languages including at least: a first text-based scripting language, and a second graphical object-based scripting language, and a scripting engine for executing the execution-side script in a run-time environment during each scan cycle of a single execution-side scripting language generated by the script translation component for the first scripting language and the second scripting language. 10. The application development and execution system of claim 1 wherein scripts are inserted as customization pre-execution and post-execution instructions within an object. | 0.522415 |
1. A method for storing and searching in a customer center system, comprising: generating data from workforce applications, at least one of the workforce applications including at least one of forecasting, scheduling, recording, and monitoring functionalities; determining whether at least some portions of the data should be stored in at least one of a plurality of unstructured databases or at least one of a plurality of structured databases, or both; converting at least a portion of the data into a text format, resulting in converted data; transferring the converted data for storing in the at least one of the plurality of unstructured databases; storing the data in the at least one of the plurality of unstructured databases or the at least one of the plurality of structured databases, or both, the unstructured and structured databases being operative to communicate with at least one of the workforce applications, wherein at least a portion of the data stored in the at least one of the plurality of unstructured databases is the converted data; receiving search parameters that are used to search the data in the at least one of the plurality of unstructured databases or the at least one of the plurality of structured databases, or both; searching the at least one of the plurality of unstructured databases and the at least one of the plurality of structured databases according to the search parameters, resulting in search results, wherein the search results indicate a portion of the data associated with the search results from the at least one of the plurality of unstructured databases and the at least one of the plurality of structured databases; determining whether each of the search results is from the at least one of the plurality of structured databases or the at least one of the plurality of unstructured databases; indexing the portion of the data associated with the search results; storing the portion of the data associated with the search results in a search result database; and displaying the search results on a display device. | 1. A method for storing and searching in a customer center system, comprising: generating data from workforce applications, at least one of the workforce applications including at least one of forecasting, scheduling, recording, and monitoring functionalities; determining whether at least some portions of the data should be stored in at least one of a plurality of unstructured databases or at least one of a plurality of structured databases, or both; converting at least a portion of the data into a text format, resulting in converted data; transferring the converted data for storing in the at least one of the plurality of unstructured databases; storing the data in the at least one of the plurality of unstructured databases or the at least one of the plurality of structured databases, or both, the unstructured and structured databases being operative to communicate with at least one of the workforce applications, wherein at least a portion of the data stored in the at least one of the plurality of unstructured databases is the converted data; receiving search parameters that are used to search the data in the at least one of the plurality of unstructured databases or the at least one of the plurality of structured databases, or both; searching the at least one of the plurality of unstructured databases and the at least one of the plurality of structured databases according to the search parameters, resulting in search results, wherein the search results indicate a portion of the data associated with the search results from the at least one of the plurality of unstructured databases and the at least one of the plurality of structured databases; determining whether each of the search results is from the at least one of the plurality of structured databases or the at least one of the plurality of unstructured databases; indexing the portion of the data associated with the search results; storing the portion of the data associated with the search results in a search result database; and displaying the search results on a display device. 6. The method of claim 1 , further comprising: planning at least one campaign to implement goals; scheduling and deploying a workforce in accordance with the at least one campaign to produce a plurality of agent-customer interactions; measuring performance of an agent on at least a portion of the plurality of agent-customer interactions to produce a set of quality metrics for the agent; analyzing the set of quality metrics to produce a rating of the measured interactions; combining at least a portion of the set of quality metrics to produce performance indicators; and using the performance indicators in the planning step of a second campaign or another iteration of the at least one campaign. | 0.5 |
13. A method of providing error correction in a caption-based communication system, the method comprising: receiving, at a first communication device associated with a call assistant within a captioning service, a voice signal during a real-time communication session between a second communication device associated with a hearing-impaired user and a third communication device; receiving, at a second communication device, the voice signal from the first communication device within the remote communication device during the real-time communication session; generating, at the first communication device, a text transcription for the voice signal during the real-time communication session using a speech recognition program; transmitting, from the first communication device to the second communication device, a first block of text of the text transcription; receiving, at the second communication device, the first block of text of the text transcription of the voice signal from the remote captioning service; displaying the first block of text on a second electronic display of the second communication device during the real-time communication session; receiving, through a first input device of the first communication device, corrections corresponding to an error within at least a portion of a text transcription after of the text transcription to the second communication device has already occurred; generating, at the first communication device, a replacement block of text responsive to the corrections; transmitting the replacement block of text from the first communication device to the second communication device as an inline correction for the error with instructions for the second communication device to indicate that the block of text is a correction for the portion of the text transcription to be replaced; receiving, at the second communication device, the replacement block of text from the remote captioning service after the first block of text has been received and displayed by the second electronic display; and displaying the replacement block of text on the second electronic display as an inline correction for the first block of text previously displayed by the second communication device. | 13. A method of providing error correction in a caption-based communication system, the method comprising: receiving, at a first communication device associated with a call assistant within a captioning service, a voice signal during a real-time communication session between a second communication device associated with a hearing-impaired user and a third communication device; receiving, at a second communication device, the voice signal from the first communication device within the remote communication device during the real-time communication session; generating, at the first communication device, a text transcription for the voice signal during the real-time communication session using a speech recognition program; transmitting, from the first communication device to the second communication device, a first block of text of the text transcription; receiving, at the second communication device, the first block of text of the text transcription of the voice signal from the remote captioning service; displaying the first block of text on a second electronic display of the second communication device during the real-time communication session; receiving, through a first input device of the first communication device, corrections corresponding to an error within at least a portion of a text transcription after of the text transcription to the second communication device has already occurred; generating, at the first communication device, a replacement block of text responsive to the corrections; transmitting the replacement block of text from the first communication device to the second communication device as an inline correction for the error with instructions for the second communication device to indicate that the block of text is a correction for the portion of the text transcription to be replaced; receiving, at the second communication device, the replacement block of text from the remote captioning service after the first block of text has been received and displayed by the second electronic display; and displaying the replacement block of text on the second electronic display as an inline correction for the first block of text previously displayed by the second communication device. 19. The method of claim 13 , wherein receiving, at the second communication device, the replacement block of text from the remote captioning service occurs within three seconds or less from when the voice signal from the first communication device is received by the second communication device. | 0.610829 |
1. A computer-implemented method of preparing a set of documents to support information extraction, the method comprising: defining a set of concept categories; defining a set of monadic relations associated with single concepts; defining a set of dyadic relations between concepts; defining a set of rules that allow extraction of monadic relations associated with concepts and dyadic relations between concepts; receiving a corpus containing documents; parsing the documents to identify concepts; extracting, by applying the set of rules to the parsed documents, concept-relation-concept triples, referred to as CRCs, and relation-concept pairs, referred to as RCs from the parsed documents; and incorporating the CRCs and the RCs into a data organization. | 1. A computer-implemented method of preparing a set of documents to support information extraction, the method comprising: defining a set of concept categories; defining a set of monadic relations associated with single concepts; defining a set of dyadic relations between concepts; defining a set of rules that allow extraction of monadic relations associated with concepts and dyadic relations between concepts; receiving a corpus containing documents; parsing the documents to identify concepts; extracting, by applying the set of rules to the parsed documents, concept-relation-concept triples, referred to as CRCs, and relation-concept pairs, referred to as RCs from the parsed documents; and incorporating the CRCs and the RCs into a data organization. 12. The method of claim 1 wherein said parsing the documents to identify concepts includes at least one of the group consisting of determining phrase boundaries, determining parts of speech, identifying numeric concepts, identifying phrasal verbs, identifying idioms, and identifying proper names. | 0.589151 |
11. The machine-readable medium of claim 10 , wherein the at least one of the commands is performed by forwarding the at least one of the commands from a dialog command manager to an application command manager. | 11. The machine-readable medium of claim 10 , wherein the at least one of the commands is performed by forwarding the at least one of the commands from a dialog command manager to an application command manager. 12. The machine-readable medium of claim 11 , wherein the dialog command manager identifies the at least one of the commands to be performed from the dialog independent of a current preview state in the dialog based on one or more received null commands indicating the at least one of the commands are preview-independent. | 0.885039 |
1. A computer-implemented method comprising: associating a user search query (q) with a search task (T), wherein the search task comprises a sequence of multiple distinct user search queries that share a common context; identifying multiple information documents that correspond to the search task, wherein the multiple information documents comprise one or more information documents that correspond to each of the multiple distinct user search queries of the search task; and generating a recommended chronologically-ordered sequence of the multiple information documents to present to the user in response to the user search query, wherein the recommended chronologically-ordered sequence is based on (i) the sequence of the multiple distinct user search queries of the search task and (ii) dependency information associated with the multiple information documents, wherein said dependency information comprises (a) determined measure of importance that a user accesses the contents of a first of the multiple information documents before proceeding to the contents of a second of the multiple information documents, and (b) a determined measure of relevance of each of the multiple information documents to each of one or more other documents from the multiple information documents, wherein the determined measure of relevance comprises a computed probability of the second information document (D 2 ) being dependent on the first information document (D 1 ), and wherein said probability (P) is computed via P(D 2 |D 1 , q)=P(T|q)*P(D 2 |q, T)*P(D 2 |D 1 ). | 1. A computer-implemented method comprising: associating a user search query (q) with a search task (T), wherein the search task comprises a sequence of multiple distinct user search queries that share a common context; identifying multiple information documents that correspond to the search task, wherein the multiple information documents comprise one or more information documents that correspond to each of the multiple distinct user search queries of the search task; and generating a recommended chronologically-ordered sequence of the multiple information documents to present to the user in response to the user search query, wherein the recommended chronologically-ordered sequence is based on (i) the sequence of the multiple distinct user search queries of the search task and (ii) dependency information associated with the multiple information documents, wherein said dependency information comprises (a) determined measure of importance that a user accesses the contents of a first of the multiple information documents before proceeding to the contents of a second of the multiple information documents, and (b) a determined measure of relevance of each of the multiple information documents to each of one or more other documents from the multiple information documents, wherein the determined measure of relevance comprises a computed probability of the second information document (D 2 ) being dependent on the first information document (D 1 ), and wherein said probability (P) is computed via P(D 2 |D 1 , q)=P(T|q)*P(D 2 |q, T)*P(D 2 |D 1 ). 4. The method of claim 1 , wherein said identifying comprises identifying multiple information documents that correspond to the search task based on one or more previous user search histories. | 0.575742 |
1. A method for creating a document in XML (“Extensible Markup Language”) in a computing device that is understandable by many applications, comprising: accessing a published XSD (“XML Schema Definition”) in said computing device, wherein the XSD defines rules relating to the XML file format for documents associated with an application having a rich set of features; determining an element to create in an XML file in said computing device, wherein the element is selected from a set of elements, including: a style element; a hints element that includes information to assist an external application in displaying text of the of the document; a bookmark element; wherein the bookmark element includes an identifier attribute that associates a start bookmark with an end bookmark element wherein two bookmark elements are used in book marking a portion of the document; wherein each of the two bookmark elements include an opening tag and an ending tag; a document properties element; a text element that contains text of the document; wherein all of the text of the document is stored within text elements such that only the text of the document is contained between start text tags and end text tags; wherein there are no intervening tags between each of the start text tags and each of the corresponding end text tags and wherein each of the start text tags do not include formatting information for the text between each of the start text tags and the end text tags; a text run element that includes the formatting information for the text within text elements; a font element; a formatting element; a section element; a table element; an outline element; and a proofing element; creating the document including the element in said computing device; and storing the document in said computing device. | 1. A method for creating a document in XML (“Extensible Markup Language”) in a computing device that is understandable by many applications, comprising: accessing a published XSD (“XML Schema Definition”) in said computing device, wherein the XSD defines rules relating to the XML file format for documents associated with an application having a rich set of features; determining an element to create in an XML file in said computing device, wherein the element is selected from a set of elements, including: a style element; a hints element that includes information to assist an external application in displaying text of the of the document; a bookmark element; wherein the bookmark element includes an identifier attribute that associates a start bookmark with an end bookmark element wherein two bookmark elements are used in book marking a portion of the document; wherein each of the two bookmark elements include an opening tag and an ending tag; a document properties element; a text element that contains text of the document; wherein all of the text of the document is stored within text elements such that only the text of the document is contained between start text tags and end text tags; wherein there are no intervening tags between each of the start text tags and each of the corresponding end text tags and wherein each of the start text tags do not include formatting information for the text between each of the start text tags and the end text tags; a text run element that includes the formatting information for the text within text elements; a font element; a formatting element; a section element; a table element; an outline element; and a proofing element; creating the document including the element in said computing device; and storing the document in said computing device. 5. The method of claim 1 , wherein the document properties element includes a plurality of the following: a title, an author, a template, a last author, a revision, an application name, a total number of edits, a created date, a last saved date, a pages date, a word count, a character count, a company name, a lines count, a paragraphs count, a character with space count, a version, and any custom properties. | 0.5 |
10. The client computer of claim 9 wherein the computer-readable medium further comprises a feature set comprising attributes indicative of a normal script. | 10. The client computer of claim 9 wherein the computer-readable medium further comprises a feature set comprising attributes indicative of a normal script. 11. The client computer of claim 10 wherein the normal script identifier is further configured to extract from the first script features that are noted in the feature set. | 0.919674 |
11. A computer implemented method for identifying and translating partially translated language data, the method comprising: extracting, by a computer, a translation file selected by a user-entered topic, the file having a plurality of triplets comprising, an object name, a key, and a translation token, wherein the translation token is a placeholder; determining, by the computer, whether there are nonstandard characters in the translation file; responsive to a determination that nonstandard characters are in the translation file, filtering out, by the computer, the nonstandard characters to form a resultant file; filtering out, by the computer, translated data from the resultant file to form an untranslated file; formatting, by the computer, the untranslated file with additional comments; selecting a subset of data from the untranslated file based on a subset criteria; responsive to selecting, filtering out, by the computer, any data not matching the subset criteria to form a translatable file; sending the translatable file to a translation center to translate; receiving the resultant file as a translated file from the translation center, wherein the translation file is a XML file; and importing the translated file into a document collaboration database. | 11. A computer implemented method for identifying and translating partially translated language data, the method comprising: extracting, by a computer, a translation file selected by a user-entered topic, the file having a plurality of triplets comprising, an object name, a key, and a translation token, wherein the translation token is a placeholder; determining, by the computer, whether there are nonstandard characters in the translation file; responsive to a determination that nonstandard characters are in the translation file, filtering out, by the computer, the nonstandard characters to form a resultant file; filtering out, by the computer, translated data from the resultant file to form an untranslated file; formatting, by the computer, the untranslated file with additional comments; selecting a subset of data from the untranslated file based on a subset criteria; responsive to selecting, filtering out, by the computer, any data not matching the subset criteria to form a translatable file; sending the translatable file to a translation center to translate; receiving the resultant file as a translated file from the translation center, wherein the translation file is a XML file; and importing the translated file into a document collaboration database. 12. The computer implemented method of claim 11 , wherein nonstandard characters are unparseable characters with respect to criteria of the XML specification. | 0.644451 |
8. A method for imaging device display element localization, said method comprising: receiving, at an imaging device (IDev), menu content for display on an IDev display on said IDev, wherein said menu content is received from a localization application on a remote computing device (RCD) that is remote to said IDev and wherein said menu content comprises prompts to induce user input of data identifying locale-independent content; displaying said menu content on said IDev display; receiving user input, at said IDev in response to said displaying, said user input comprising a locale-independent content identifier; sending an HTTP request, comprising geographical locale information embedded in a header of said HTTP request and a locale-independent content identifier in a user interface page of said HTTP request, from said IDev to said localization application; receiving said HTTP request at said localization application; parsing said header of said HTTP request to identify a geographical locale; retrieving geographical-locale-specific data related to said geographical locale, wherein said geographical locale-specific data consists of a language, a time format, a date format, an address format, a calendar format, a currency type and a geographical-locale-related cultural custom; retrieving locale-independent content identified by said locale-independent content identifier; merging said geographical-locale-specific data with said locale-independent content to form a localized XHTML page, wherein said merging comprises merging locale-specific text and resources in the form of a dynamic link library (DLL) identified by said locale information with said locale-independent content identified in said user interface page at said localization application; sending said localized XHTML page from said localization application to said IDev; receiving said localized XHTML page at said IDev from said localization application; and outputting said localized XHTML page at said IDev. | 8. A method for imaging device display element localization, said method comprising: receiving, at an imaging device (IDev), menu content for display on an IDev display on said IDev, wherein said menu content is received from a localization application on a remote computing device (RCD) that is remote to said IDev and wherein said menu content comprises prompts to induce user input of data identifying locale-independent content; displaying said menu content on said IDev display; receiving user input, at said IDev in response to said displaying, said user input comprising a locale-independent content identifier; sending an HTTP request, comprising geographical locale information embedded in a header of said HTTP request and a locale-independent content identifier in a user interface page of said HTTP request, from said IDev to said localization application; receiving said HTTP request at said localization application; parsing said header of said HTTP request to identify a geographical locale; retrieving geographical-locale-specific data related to said geographical locale, wherein said geographical locale-specific data consists of a language, a time format, a date format, an address format, a calendar format, a currency type and a geographical-locale-related cultural custom; retrieving locale-independent content identified by said locale-independent content identifier; merging said geographical-locale-specific data with said locale-independent content to form a localized XHTML page, wherein said merging comprises merging locale-specific text and resources in the form of a dynamic link library (DLL) identified by said locale information with said locale-independent content identified in said user interface page at said localization application; sending said localized XHTML page from said localization application to said IDev; receiving said localized XHTML page at said IDev from said localization application; and outputting said localized XHTML page at said IDev. 11. A method as described in claim 8 wherein said retrieving is at least partially accomplished with an HTTP request. | 0.858173 |
16. A non-transitory computer-readable storage medium having stored thereon computer-executable instructions that, in response to execution, cause a computing device including a processor to perform operations, the operations comprising: receiving an indication to initiate a workflow, wherein the workflow comprises a plurality of objects; masking an integrated functionality of at least one of the plurality of objects based on a determined use context for the plurality of objects; evaluating respective diagnostic capabilities of the plurality of objects and identifying a missing diagnostic capability required for the workflow based on the evaluating; generating recommendation data that indicates the missing diagnostic capability; evaluating a hierarchical association of the plurality of objects in the workflow, wherein the hierarchical association is predefined and provides diagnostic context for the plurality of objects; and creating a functionality for one of the plurality of objects based on a result of the evaluating. | 16. A non-transitory computer-readable storage medium having stored thereon computer-executable instructions that, in response to execution, cause a computing device including a processor to perform operations, the operations comprising: receiving an indication to initiate a workflow, wherein the workflow comprises a plurality of objects; masking an integrated functionality of at least one of the plurality of objects based on a determined use context for the plurality of objects; evaluating respective diagnostic capabilities of the plurality of objects and identifying a missing diagnostic capability required for the workflow based on the evaluating; generating recommendation data that indicates the missing diagnostic capability; evaluating a hierarchical association of the plurality of objects in the workflow, wherein the hierarchical association is predefined and provides diagnostic context for the plurality of objects; and creating a functionality for one of the plurality of objects based on a result of the evaluating. 17. The non-transitory computer-readable storage medium of claim 16 , wherein the operations further comprise: producing a representation of the workflow, wherein the representation includes the plurality of objects and the respective diagnostic capabilities; receiving a selection of one of the respective diagnostic capabilities; and initiating a diagnostic procedure on at least a portion of the workflow based on the selection. | 0.713907 |
17. A computer program product comprising computer-readable program code capable of being executed by one or more processors when retrieved from a non-transitory computer-readable medium, the program code comprising instructions configurable to cause: identifying a first user of a social media sharing platform as being associated with a post stored in a database of a database system, the post capable of being shared with users of the social media sharing platform; identifying a topic associated with the post; determining, based on one or more factors, that the first user is a topical authority with respect to the identified topic in the social media sharing platform, the topical authority being a contributor of information associated with the identified topic, the one or more factors being related to profile information of the users of the social media sharing platform; adding, responsive to determining that the first user is the topical authority with respect to the identified topic, the first user to a designated list of topical authorities; determining that an indication of interest associated with a second user of the social media sharing platform is associated with the identified topic; displaying, on a device of the second user: a first recommendation that the second user follow the first user in the social media sharing platform, the first recommendation indicating that the first user is the topical authority, the first recommendation being displayed in association with a selection operable to cause the second user to follow the first user, and the post; determining that the second user has selected the selection; and displaying, responsive to determining that the second user has selected the selection, on the device of the second user: a second recommendation that the second user follow the topic and one or more further topics associated with the first user, the second recommendation being displayed in association with an explanation of the second recommendation. | 17. A computer program product comprising computer-readable program code capable of being executed by one or more processors when retrieved from a non-transitory computer-readable medium, the program code comprising instructions configurable to cause: identifying a first user of a social media sharing platform as being associated with a post stored in a database of a database system, the post capable of being shared with users of the social media sharing platform; identifying a topic associated with the post; determining, based on one or more factors, that the first user is a topical authority with respect to the identified topic in the social media sharing platform, the topical authority being a contributor of information associated with the identified topic, the one or more factors being related to profile information of the users of the social media sharing platform; adding, responsive to determining that the first user is the topical authority with respect to the identified topic, the first user to a designated list of topical authorities; determining that an indication of interest associated with a second user of the social media sharing platform is associated with the identified topic; displaying, on a device of the second user: a first recommendation that the second user follow the first user in the social media sharing platform, the first recommendation indicating that the first user is the topical authority, the first recommendation being displayed in association with a selection operable to cause the second user to follow the first user, and the post; determining that the second user has selected the selection; and displaying, responsive to determining that the second user has selected the selection, on the device of the second user: a second recommendation that the second user follow the topic and one or more further topics associated with the first user, the second recommendation being displayed in association with an explanation of the second recommendation. 18. The computer program product of claim 17 , wherein determining that the first user is the topical authority includes: identifying the first user as one of a plurality of users associated with the identified topic in a database of the database system. | 0.632524 |
1. A computer-implemented method performed in a web page authoring system having a user input system and an editing screen display for displaying a representation of a tag associated with a display artifact represented on the editing screen display, said method comprising: receiving a user action input selecting a reference point on the editing screen display for a web page being authored; setting a reference area on the editing screen display enclosing the selected reference point; selecting the display artifact closest to the reference point as a reference display artifact from among display artifacts in the reference area; selecting a tag associated with the reference display artifact from among tags associated with the display artifacts in the reference area; and drawing a first rectangle on the editing screen display enclosing the selected display artifact and a second, larger rectangle enclosing said first rectangle, a space between said first and second rectangles representing the selected tag, wherein the selected tag, associated with the first rectangle and the selected display artifact, includes an open tag and a corresponding close tag. | 1. A computer-implemented method performed in a web page authoring system having a user input system and an editing screen display for displaying a representation of a tag associated with a display artifact represented on the editing screen display, said method comprising: receiving a user action input selecting a reference point on the editing screen display for a web page being authored; setting a reference area on the editing screen display enclosing the selected reference point; selecting the display artifact closest to the reference point as a reference display artifact from among display artifacts in the reference area; selecting a tag associated with the reference display artifact from among tags associated with the display artifacts in the reference area; and drawing a first rectangle on the editing screen display enclosing the selected display artifact and a second, larger rectangle enclosing said first rectangle, a space between said first and second rectangles representing the selected tag, wherein the selected tag, associated with the first rectangle and the selected display artifact, includes an open tag and a corresponding close tag. 4. The method of claim 1 , wherein the selected tag related to the reference display is artifact at least one of a sibling tag, a parent tag, and a child tag. | 0.549821 |
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. 9. The energy harvesting communication device of claim 1 , wherein said processor further comprises at least one of: at least a video communication apparatus; at least a SIM card processor; at least a communication controller; at least a CMOS multiple antennas on chip; at least a media device; at least an entertainment device; at least a memory device; at least a search engine module; at least a storage device; at least an intra-chip device; at least an IC card processor; at least a faster data transmission device operable at speed of at least 5 GHz frequency; at least a faster data transmission device operable at speed of at least 20 GHz frequency; at least a faster data transmission device operable at speed of at least 60 GHz frequency; at least a video processing device. | 0.705519 |
11. The computer-readable storage medium of claim 10 , wherein the computer-executable instructions are further operative to display the user interface object corresponding to the organizational electronic mail folder in a manner that differentiates the user interface object from other user interface objects corresponding to other types of mail folders. | 11. The computer-readable storage medium of claim 10 , wherein the computer-executable instructions are further operative to display the user interface object corresponding to the organizational electronic mail folder in a manner that differentiates the user interface object from other user interface objects corresponding to other types of mail folders. 12. The computer-readable storage medium of claim 11 , comprising further computer-executable instructions which, when executed by the computer, are operative to cause the computer to: receive a selection of a sub-folder of the organizational electronic mail folder; and in response to the selection of the sub-folder, to display the organizational policy statement. | 0.811007 |
19. An article of manufacture including a computer-readable storage medium, having stored thereon program instructions that, upon execution by one or more processors of a system, cause the system to perform operations comprising: training a neural network implemented by the system to map one or more training-time sequences of phonetic-context descriptors received by the neural network into training-time predicted feature vectors that correspond to acoustic properties of predefined speech waveforms, wherein the one or more training-time sequences of phonetic-context descriptors correspond to phonetic transcriptions of training-time text strings, and the training-time text strings correspond to written transcriptions of speech carried in the predefined speech waveforms; receiving, by a text analysis module implemented by the system, a run-time text string; processing the received run-time text string with the text analysis module to generate a run-time sequence of phonetic-context descriptors that corresponds to a phonetic transcription of the run-time text string, wherein each phonetic-context descriptor of the run-time sequence includes a respective label identifying a phonetic speech unit of a plurality of phonetic speech units, data indicating phonetic context of the identified phonetic speech unit, and data indicating time duration of the identified phonetic speech unit; processing the run-time sequence of the phonetic-context descriptors with the trained neural network in a corresponding sequence of neural network time steps to generate one or more run-time predicted feature vectors; and processing the one or more run-time predicted feature vectors with a signal generation module to produce and output a run-time speech waveform corresponding to a spoken rendering of the received run-time text string; wherein processing the received run-time text string with the text analysis module to generate the run-time sequence of phonetic-context descriptors comprises: generating a run-time transcription sequence of phonetic speech units that corresponds to the phonetic transcription of the run-time text string; and determining a respective number of consecutive phonetic-context descriptors to generate for each of the phonetic speech units of the run-time transcription sequence. | 19. An article of manufacture including a computer-readable storage medium, having stored thereon program instructions that, upon execution by one or more processors of a system, cause the system to perform operations comprising: training a neural network implemented by the system to map one or more training-time sequences of phonetic-context descriptors received by the neural network into training-time predicted feature vectors that correspond to acoustic properties of predefined speech waveforms, wherein the one or more training-time sequences of phonetic-context descriptors correspond to phonetic transcriptions of training-time text strings, and the training-time text strings correspond to written transcriptions of speech carried in the predefined speech waveforms; receiving, by a text analysis module implemented by the system, a run-time text string; processing the received run-time text string with the text analysis module to generate a run-time sequence of phonetic-context descriptors that corresponds to a phonetic transcription of the run-time text string, wherein each phonetic-context descriptor of the run-time sequence includes a respective label identifying a phonetic speech unit of a plurality of phonetic speech units, data indicating phonetic context of the identified phonetic speech unit, and data indicating time duration of the identified phonetic speech unit; processing the run-time sequence of the phonetic-context descriptors with the trained neural network in a corresponding sequence of neural network time steps to generate one or more run-time predicted feature vectors; and processing the one or more run-time predicted feature vectors with a signal generation module to produce and output a run-time speech waveform corresponding to a spoken rendering of the received run-time text string; wherein processing the received run-time text string with the text analysis module to generate the run-time sequence of phonetic-context descriptors comprises: generating a run-time transcription sequence of phonetic speech units that corresponds to the phonetic transcription of the run-time text string; and determining a respective number of consecutive phonetic-context descriptors to generate for each of the phonetic speech units of the run-time transcription sequence. 26. The article of manufacture of claim 19 , wherein each of the one or more run-time predicted feature vectors includes a set of acoustic metrics, and wherein the set of acoustic metrics is at least one of Mel Cepstral coefficients, Line Spectral Pairs, Linear Predictive coefficients, Mel-Generalized Cepstral Coefficients, fundamental frequency, aperiodic measures, log power spectrum, or phase, and wherein each of the one or more run-time predicted feature vectors further includes a set of first-order time derivatives of the set of acoustic metrics, and a set of second-order time derivatives of the set of acoustic metrics, the second-order time derivatives being time derivatives of the first-order time derivatives. | 0.608112 |
7. The device of claim 5 , further comprising a module configured to control the processor to select the at least one feature description from the group consisting of media, semantic and temporal features. | 7. The device of claim 5 , further comprising a module configured to control the processor to select the at least one feature description from the group consisting of media, semantic and temporal features. 9. The device of claim 7 , wherein the semantic features are further defined by at least one feature description selected from the group comprising keywords, who, what object, what action, why, when, where and text annotation. | 0.902659 |
7. The method of claim 1 , wherein determining a plurality of values further comprises: counting a number of occurrences of the query string associated with each of the keyword-linked pages to provide a first count for each keyword-linked page; counting a number of occurrences of the query string associated with each anchor-tagged page linked from each keyword-linked page to provide a second count; generating each of the plurality of values according to the counting by using the first count and the second count for each anchor-tagged page linked to one keyword-linked page. | 7. The method of claim 1 , wherein determining a plurality of values further comprises: counting a number of occurrences of the query string associated with each of the keyword-linked pages to provide a first count for each keyword-linked page; counting a number of occurrences of the query string associated with each anchor-tagged page linked from each keyword-linked page to provide a second count; generating each of the plurality of values according to the counting by using the first count and the second count for each anchor-tagged page linked to one keyword-linked page. 8. The method of claim 7 , wherein generating a plurality of values according to the counting further comprises summing the first count and the second count, multiplying one or more predetermined coefficients with at least one of the first count and the second count, and multiplying the first count with the second count. | 0.786867 |
1. A computer-implemented method comprising: receiving a test specification document file for a software product wherein the test specification document file includes mark-up language; calling for storage of the test specification document file in a test database; parsing the mark-up language; creating test information for manual test variations based at least in part on the parsing of the mark-up language; filtering the test information to produce a list of at least some of the manual test variations; outputting the list; receiving manual test result information based on execution of at least one of the manual test variations on the software product; and calling for storage of the manual test result information in the test database. | 1. A computer-implemented method comprising: receiving a test specification document file for a software product wherein the test specification document file includes mark-up language; calling for storage of the test specification document file in a test database; parsing the mark-up language; creating test information for manual test variations based at least in part on the parsing of the mark-up language; filtering the test information to produce a list of at least some of the manual test variations; outputting the list; receiving manual test result information based on execution of at least one of the manual test variations on the software product; and calling for storage of the manual test result information in the test database. 10. The method of claim 1 wherein the manual test variations comprise a manual test pass. | 0.659747 |
7. An apparatus for retrieving documents from a database, as in claim 6, wherein: said computer computes a score for each of said permutations of said translated terms against each document of said database having text in said second language wherein said score indicates a measure of relevance of each permutation to each document. | 7. An apparatus for retrieving documents from a database, as in claim 6, wherein: said computer computes a score for each of said permutations of said translated terms against each document of said database having text in said second language wherein said score indicates a measure of relevance of each permutation to each document. 9. An apparatus for retrieving documents from a database, as in claim 7, wherein: said computer sorts said scores of said permutations to identify the highest ranking permutation; and said computer retrieves a document associated with said identified highest ranking permutation. | 0.804661 |
14. A program product comprising a memory and a set of instructions stored in the memory, the instructions, when carried out by a processor, implement a method for grouping a plurality of instant messaging statements into a plurality of topic groups, the method comprising: the processor creating a plurality of topics, each topic comprising a topic name; the processor assigning a statement classification method to each of the plurality of instant messaging statements; the processor associating each of the instant messaging statements with one of the plurality of topics based on an assigned statement classification method; and the processor grouping together each of the plurality of instant messaging statements having a common associated topic into a corresponding topic group; wherein the topic name of each of the topics is negotiable, thereby allowing any participant to propose a change to the topic name; and wherein the change is subject to an approval by a group leader wherein the statement classification method is by a keyword search. | 14. A program product comprising a memory and a set of instructions stored in the memory, the instructions, when carried out by a processor, implement a method for grouping a plurality of instant messaging statements into a plurality of topic groups, the method comprising: the processor creating a plurality of topics, each topic comprising a topic name; the processor assigning a statement classification method to each of the plurality of instant messaging statements; the processor associating each of the instant messaging statements with one of the plurality of topics based on an assigned statement classification method; and the processor grouping together each of the plurality of instant messaging statements having a common associated topic into a corresponding topic group; wherein the topic name of each of the topics is negotiable, thereby allowing any participant to propose a change to the topic name; and wherein the change is subject to an approval by a group leader wherein the statement classification method is by a keyword search. 29. The program product of claim 14 wherein a chat participant can only save a chat transcript relating to a designated topic. | 0.672944 |
15. A method for leveraging external cloud services on an existing cloud platform to enable client applications to interact with shared content created and maintained via a cloud app on the cloud platform, the method including the following steps: (a) utilizing the cloud services to extract the shared content from the cloud platform; and (b) interpreting the extracted shared content and repurposing the extracted shared content to enable a client application to provide additional content-specific functionality with respect to the extracted shared content. | 15. A method for leveraging external cloud services on an existing cloud platform to enable client applications to interact with shared content created and maintained via a cloud app on the cloud platform, the method including the following steps: (a) utilizing the cloud services to extract the shared content from the cloud platform; and (b) interpreting the extracted shared content and repurposing the extracted shared content to enable a client application to provide additional content-specific functionality with respect to the extracted shared content. 18. The method of claim 15 , wherein the shared content includes data and metadata, and wherein the metadata is interpreted and the shared content is repurposed in accordance with that interpretation. | 0.57788 |
12. A computer program for collecting hypotheses of phrase pairs based on one or more seed pairs stored on a storage medium each consisting of first and second phrases representing a cause and a result, respectively, each of said phrase pairs consisting of two phrases assumed to represent causality, each of said first and second phrases including a combination of a noun and a predicate template, wherein the computer program is stored on a non-transitory computer readable medium and includes instructions configured to cause a processor to: determine a semantic relation pattern that matches a noun pair consisting of the nouns in said first and second phrases in each seed pair stored on the storage medium; and generate a new hypothesis by replacing a noun pair of a given seed pair of the one or more seed pairs with each of word pairs stored on the storage medium related to the semantic relation pattern determined to be matching said noun pair, wherein: semantic relation patterns are stored on the storage medium; each of the stored word pairs are related to any of semantic relation patterns stored on the storage medium; and each of the stored semantic relation patterns represents a semantic relation pattern between words; wherein the generation of the new hypothesis improves information extraction from electronically available documents. | 12. A computer program for collecting hypotheses of phrase pairs based on one or more seed pairs stored on a storage medium each consisting of first and second phrases representing a cause and a result, respectively, each of said phrase pairs consisting of two phrases assumed to represent causality, each of said first and second phrases including a combination of a noun and a predicate template, wherein the computer program is stored on a non-transitory computer readable medium and includes instructions configured to cause a processor to: determine a semantic relation pattern that matches a noun pair consisting of the nouns in said first and second phrases in each seed pair stored on the storage medium; and generate a new hypothesis by replacing a noun pair of a given seed pair of the one or more seed pairs with each of word pairs stored on the storage medium related to the semantic relation pattern determined to be matching said noun pair, wherein: semantic relation patterns are stored on the storage medium; each of the stored word pairs are related to any of semantic relation patterns stored on the storage medium; and each of the stored semantic relation patterns represents a semantic relation pattern between words; wherein the generation of the new hypothesis improves information extraction from electronically available documents. 13. The computer program of claim 12 , wherein the instructions are further configured to cause the processor to: for each of the first and second phrases for each of said one or more seed pairs, generate a new hypothesis by replacing the predicate template with another predicate template read from the storage medium expressing contradictory meanings to the predicate template. | 0.64519 |
11. The method of claim 9 , wherein the communication device is a first communication device, and wherein the location information based on proximity detection is based on a predetermined distance of a second, different communication device from the first communication device. | 11. The method of claim 9 , wherein the communication device is a first communication device, and wherein the location information based on proximity detection is based on a predetermined distance of a second, different communication device from the first communication device. 12. The method of claim 11 , further comprising: determining a relationship of the first communication device with the second communication device based on at least one of stored contact data associated with a user or social group data associated with the user. | 0.920775 |
6. A system comprising: an input that receives an utterance; a first module that: analyzes grammar to determine a perplexity and word length associated with said grammar; determines a category of said grammar based on said perplexity and word length; and determines a recognition parameter based on said category; and a second module, coupled to said first module and said input, that: applies a speech model in accordance with said recognition parameter in an attempt to recognize said utterance. | 6. A system comprising: an input that receives an utterance; a first module that: analyzes grammar to determine a perplexity and word length associated with said grammar; determines a category of said grammar based on said perplexity and word length; and determines a recognition parameter based on said category; and a second module, coupled to said first module and said input, that: applies a speech model in accordance with said recognition parameter in an attempt to recognize said utterance. 7. The system of claim 6 , wherein said recognition parameter is selected from the group consisting of a confidence level, a pruning value, a noise reduction, a word-boundary acoustic evaluation, a word-internal acoustic evaluation, a model selection, and a timeout value. | 0.658696 |
10. A computer system for processing query information, comprising: means for maintaining a database corresponding to a language specific model that maps non-Latin character strings to one or more corresponding Latin character strings using at least one of user survey data, custom data and third party data, the language specific model based, at least in part, on phonetic representations of respective non-Latin character strings, wherein the model includes, for each of a plurality of respective non-Latin character strings, a plurality of distinct Latin character strings, wherein at least one of the plurality of distinct Latin character strings is based on personal preferences of different users to the phonetic representations of the non-Latin character string; means for receiving, respectively, a first string of Latin characters from a first user and a second string of Latin characters from a second user, wherein there are one or more differences between the first and second strings of Latin characters, wherein the one or more differences occurs due to different preferences of the first user and the second user to the phonetic representations of the same non-Latin character string; means for obtaining from a plurality of previously submitted complete queries and the language specific model, respectively, a first set of predicted complete queries corresponding to the first string of Latin characters and a second set of predicted complete queries corresponding to the second string of Latin characters, wherein there are one or more identical queries in both the first and second sets, wherein at least one identical query of the one or more identical queries is obtained by respectively mapping the first and second strings of Latin characters having the one or more differences to the same non-Latin character string using the language specific model; and means for conveying at least a first subset of the first set to the first user and at least a second subset of the second set to the second user, wherein both the first subset and the second subset include a respective identical query. | 10. A computer system for processing query information, comprising: means for maintaining a database corresponding to a language specific model that maps non-Latin character strings to one or more corresponding Latin character strings using at least one of user survey data, custom data and third party data, the language specific model based, at least in part, on phonetic representations of respective non-Latin character strings, wherein the model includes, for each of a plurality of respective non-Latin character strings, a plurality of distinct Latin character strings, wherein at least one of the plurality of distinct Latin character strings is based on personal preferences of different users to the phonetic representations of the non-Latin character string; means for receiving, respectively, a first string of Latin characters from a first user and a second string of Latin characters from a second user, wherein there are one or more differences between the first and second strings of Latin characters, wherein the one or more differences occurs due to different preferences of the first user and the second user to the phonetic representations of the same non-Latin character string; means for obtaining from a plurality of previously submitted complete queries and the language specific model, respectively, a first set of predicted complete queries corresponding to the first string of Latin characters and a second set of predicted complete queries corresponding to the second string of Latin characters, wherein there are one or more identical queries in both the first and second sets, wherein at least one identical query of the one or more identical queries is obtained by respectively mapping the first and second strings of Latin characters having the one or more differences to the same non-Latin character string using the language specific model; and means for conveying at least a first subset of the first set to the first user and at least a second subset of the second set to the second user, wherein both the first subset and the second subset include a respective identical query. 13. The computer system of claim 10 , wherein the one or more differences include a difference between the respective ending characters of the first and second strings of Latin characters. | 0.53282 |
14. The method according to claim 13 , wherein calculating the degree of similarity comprises performing a logic AND operation on the phoneme code of the N phoneme sequences and the phoneme code of the connection word of the restricted connection word search network, and summing respective code values of the result of the AND operation to calculate the degree of similarity. | 14. The method according to claim 13 , wherein calculating the degree of similarity comprises performing a logic AND operation on the phoneme code of the N phoneme sequences and the phoneme code of the connection word of the restricted connection word search network, and summing respective code values of the result of the AND operation to calculate the degree of similarity. 15. The apparatus according to claim 14 , wherein the degree of similarity is the number of phonemes shared between the phoneme code of the N phoneme sequences and the phoneme code of the connection word of the restricted connection word search network. | 0.880403 |
15. An apparatus comprising: a computer; and a computer-readable medium connected to the computer, the computer-readable medium storing computer-executable modules including: a database-access module configured to access a database of business objects that include enterprise data, the business objects including data tables that relate semantic labels to the enterprise data; a rule-application module configured to apply one or more rules that use the semantic labels to select enterprise data corresponding to the semantic labels; a modeling module configured to use the selected enterprise data to determine modeling parameters that relate a semantic-label input set to a semantic-label output set, the semantic-label input set and the semantic-label output set each including at least one of the semantic labels; a simulation module configured to use the modeling parameters to generate a simulation table that predicts an operational range of at least one business object corresponding to at least one of the semantic labels; and a database-augmentation module configured to augment the at least one business object in the database by including the simulation table in the at least one business object. | 15. An apparatus comprising: a computer; and a computer-readable medium connected to the computer, the computer-readable medium storing computer-executable modules including: a database-access module configured to access a database of business objects that include enterprise data, the business objects including data tables that relate semantic labels to the enterprise data; a rule-application module configured to apply one or more rules that use the semantic labels to select enterprise data corresponding to the semantic labels; a modeling module configured to use the selected enterprise data to determine modeling parameters that relate a semantic-label input set to a semantic-label output set, the semantic-label input set and the semantic-label output set each including at least one of the semantic labels; a simulation module configured to use the modeling parameters to generate a simulation table that predicts an operational range of at least one business object corresponding to at least one of the semantic labels; and a database-augmentation module configured to augment the at least one business object in the database by including the simulation table in the at least one business object. 19. The apparatus of claim 15 , wherein the modeling parameters define a prediction rule that predicts enterprise data for the at least one business object over the operational range by relating a corresponding, semantic label to data fields of the at least one business object. | 0.590418 |
11. A computer-implemented method comprising: identifying a plurality of computing devices, each computing device of the plurality of computing devices having a software component comprising a first translator component for translating programs in a portable format to a machine-specific instruction set, and a first sandbox component for executing programs translated to the machine-specific instruction set on the computing device using software-based fault isolation; identifying one or more second computing devices, from among of the plurality of computing devices, that have a given hardware configuration; and transmitting a second translator component and a second sandbox component to each of the second computing devices wherein each of the second computing devices is configured to: (i) receive the second translator component and the second sandbox component, and (ii) configure the software component of the second computing device to use the second translator component instead of using the first translator component to translate programs in the portable format to a machine-specific instruction set of the second computing device and to use the second sandbox component instead of using the first sandbox component to execute programs translated to the machine-specific instruction set of the second computing device. | 11. A computer-implemented method comprising: identifying a plurality of computing devices, each computing device of the plurality of computing devices having a software component comprising a first translator component for translating programs in a portable format to a machine-specific instruction set, and a first sandbox component for executing programs translated to the machine-specific instruction set on the computing device using software-based fault isolation; identifying one or more second computing devices, from among of the plurality of computing devices, that have a given hardware configuration; and transmitting a second translator component and a second sandbox component to each of the second computing devices wherein each of the second computing devices is configured to: (i) receive the second translator component and the second sandbox component, and (ii) configure the software component of the second computing device to use the second translator component instead of using the first translator component to translate programs in the portable format to a machine-specific instruction set of the second computing device and to use the second sandbox component instead of using the first sandbox component to execute programs translated to the machine-specific instruction set of the second computing device. 13. The method of claim 11 wherein identifying the one or more second computing devices that have the given hardware configuration comprises selecting the second computing devices based on a model type of the second computing devices. | 0.810484 |
65. A system to assist an information security classification process of an organization for security classification and marking of an electronic document, said system comprising at least one computer system, where said at least one computer system comprising at least one electronic storage medium, where said at least one electronic storage medium comprising at least one software engine, where said at least one software engine comprising: a. establish an electronic document security regimen comprising at least one criterion of an information security classification process, b. display a user classification dialogue for at least one informational portion of an electronic document, where said user classification dialogue comprising a menu of choices, where said menu of choices comprising at least one element for selection, and where said at least one element is associated with said at least one criterion of said electronic document security regimen, c. retrieve said at least one element, where said at least one element is selected, d. establish a classification mark from said at least one criterion associated with the retrieved said at least one element, and e. insert said classification mark into said electronic document. | 65. A system to assist an information security classification process of an organization for security classification and marking of an electronic document, said system comprising at least one computer system, where said at least one computer system comprising at least one electronic storage medium, where said at least one electronic storage medium comprising at least one software engine, where said at least one software engine comprising: a. establish an electronic document security regimen comprising at least one criterion of an information security classification process, b. display a user classification dialogue for at least one informational portion of an electronic document, where said user classification dialogue comprising a menu of choices, where said menu of choices comprising at least one element for selection, and where said at least one element is associated with said at least one criterion of said electronic document security regimen, c. retrieve said at least one element, where said at least one element is selected, d. establish a classification mark from said at least one criterion associated with the retrieved said at least one element, and e. insert said classification mark into said electronic document. 84. The system of claim 65 , wherein said at least one element is pre-selected to represent a pre-existing said classification mark. | 0.616337 |
2. The method of claim 1 , further comprising: after copying the at least one of the plurality of marked words to the new region, replacing the at least one of the plurality of marked words in the first region with a forwarding pointer to the new region. | 2. The method of claim 1 , further comprising: after copying the at least one of the plurality of marked words to the new region, replacing the at least one of the plurality of marked words in the first region with a forwarding pointer to the new region. 3. The method of claim 2 , wherein the cross-region reference is adjusted based on the forwarding pointer. | 0.948885 |
7. A computer-implemented method for determining term importance in a text content for information discovery and presentation, comprising: receiving a text content; tokenizing the text content into tokens as instances of terms, each token or term comprising one or more words or phrases; identifying a term with multiple token instances in the text content; identifying a first token instance of the term, wherein the first token instance is or is contained in a grammatical subject of a sentence; assigning a first importance value to the first token instance for being or being contained in a grammatical subject of a sentence; identifying a second token instance of the term, wherein the second token instance is or is in a non-subject portion of a sentence; assigning a second importance value to the second token instance for not being or not being contained in a grammatical subject of a sentence, wherein the second importance value is different from the first importance value; determining an importance measure for the term based on the sum of the first importance value and the second importance value; performing an action associated with the term if the importance measure is above a threshold, wherein the action comprises at least outputting an element associated with the term, displaying an element associated with the term, or using an element associated with the term for a computer-assisted operation associated with the text content including ranking a search result, wherein the element is selected from the group of elements consisting of at least the term, the importance measure, and a sentence or paragraph containing the term. | 7. A computer-implemented method for determining term importance in a text content for information discovery and presentation, comprising: receiving a text content; tokenizing the text content into tokens as instances of terms, each token or term comprising one or more words or phrases; identifying a term with multiple token instances in the text content; identifying a first token instance of the term, wherein the first token instance is or is contained in a grammatical subject of a sentence; assigning a first importance value to the first token instance for being or being contained in a grammatical subject of a sentence; identifying a second token instance of the term, wherein the second token instance is or is in a non-subject portion of a sentence; assigning a second importance value to the second token instance for not being or not being contained in a grammatical subject of a sentence, wherein the second importance value is different from the first importance value; determining an importance measure for the term based on the sum of the first importance value and the second importance value; performing an action associated with the term if the importance measure is above a threshold, wherein the action comprises at least outputting an element associated with the term, displaying an element associated with the term, or using an element associated with the term for a computer-assisted operation associated with the text content including ranking a search result, wherein the element is selected from the group of elements consisting of at least the term, the importance measure, and a sentence or paragraph containing the term. 11. The method of claim 7 , when the text content is made searchable, or is associated with a search index, the method further comprising: receiving a search query comprising a keyword; matching the keyword with the first term; returning the text content as a search result or part of a search result; and ranking the search result based at least on the first term importance measure or the second term importance measure. | 0.647424 |
14. The system of claim 6 , wherein the modified acoustic feature vector comprises an extended vector including added elements representing for respective pre-trained acoustic models, a probability that the speaker of the frame is the speaker of the respective pre-trained acoustic model. | 14. The system of claim 6 , wherein the modified acoustic feature vector comprises an extended vector including added elements representing for respective pre-trained acoustic models, a probability that the speaker of the frame is the speaker of the respective pre-trained acoustic model. 15. The system of claim 14 , wherein each additional element in the extended vector of a frame comprises a log-likelihood ratio of the probability that the frame matches a respective pre-trained model in relation to a probability that the frame matches a background population model. | 0.826557 |
21. A non-transitory, computer-readable medium having a computer-executable component, the computer-executable component comprising: a user interface component which causes display of a graphical representation of associations between referents of interest and a plurality of stories, the graphical representation comprising a plurality of indicia, wherein each indicium of the plurality of indicia is associated with a different story of the plurality of stories, wherein the indicium for each story of the plurality of stories graphically indicates a strength of association between the story and one or more referents of interest, wherein the strength of association is determined based at least in part on a number of times that the story is associated with the one or more referents of interest. | 21. A non-transitory, computer-readable medium having a computer-executable component, the computer-executable component comprising: a user interface component which causes display of a graphical representation of associations between referents of interest and a plurality of stories, the graphical representation comprising a plurality of indicia, wherein each indicium of the plurality of indicia is associated with a different story of the plurality of stories, wherein the indicium for each story of the plurality of stories graphically indicates a strength of association between the story and one or more referents of interest, wherein the strength of association is determined based at least in part on a number of times that the story is associated with the one or more referents of interest. 27. The non-transitory, computer-readable medium of claim 21 , wherein the graphical representation comprises three dimensions. | 0.830579 |
12. A system for providing rewards based on interactions with annotations, the system comprising: a computer system comprising one or more physical processors programmed to execute one or more computer program instructions which, when executed, cause the one or more physical processors to: receive a first annotation provided by a first user during a presentation of a first content item, wherein the first annotation corresponds to a reference time at which a product or service appears in the first content item, and wherein the first annotation is provided by the first user via a user device different from the computer system; identify, in the first annotation, a reference referring to the product or service; modify the first annotation to include a mechanism that enables a transaction related to the product or service, wherein the first annotation is modified to include the mechanism based on the identification of the reference; associate the modified first annotation with a first user account of the first user; provide, based on the corresponding reference time, a presentation of the modified first annotation during one or more presentations of the first content item to other users such that the mechanism is available for use by the other users via the modified first annotation during the one or more presentations of the first content item; monitor, during the one or more presentations of the first content item, use of the mechanism by the other users via the modified first annotation; and determine a reward to be provided to the first user account based on the monitored use of the mechanism by the other users via the modified first annotation. | 12. A system for providing rewards based on interactions with annotations, the system comprising: a computer system comprising one or more physical processors programmed to execute one or more computer program instructions which, when executed, cause the one or more physical processors to: receive a first annotation provided by a first user during a presentation of a first content item, wherein the first annotation corresponds to a reference time at which a product or service appears in the first content item, and wherein the first annotation is provided by the first user via a user device different from the computer system; identify, in the first annotation, a reference referring to the product or service; modify the first annotation to include a mechanism that enables a transaction related to the product or service, wherein the first annotation is modified to include the mechanism based on the identification of the reference; associate the modified first annotation with a first user account of the first user; provide, based on the corresponding reference time, a presentation of the modified first annotation during one or more presentations of the first content item to other users such that the mechanism is available for use by the other users via the modified first annotation during the one or more presentations of the first content item; monitor, during the one or more presentations of the first content item, use of the mechanism by the other users via the modified first annotation; and determine a reward to be provided to the first user account based on the monitored use of the mechanism by the other users via the modified first annotation. 15. The system of claim 12 , wherein monitoring the use of the mechanism comprises identifying an execution of the transaction enabled via the mechanism in the modified first annotation, and wherein the reward is determined based on the execution of the transaction. | 0.624619 |
1. A method of constructing a probabilistic graphical model of a system from data that includes both normal and anomalous data, the method comprising: learning parameters of a structure for the probabilistic graphical model wherein the structure includes at least one latent variable on which other variables are conditional, and the latent variable having a plurality of components, the structure further including at least one subset variable, the at least one subset variable used to explicitly describe at least one expected mode, wherein the at least one latent variable is conditional on the at least one subset variable; iteratively associating one or more of the plurality of components of the latent variable with normal data; constructing a matrix of the associations; detecting abnormal components of the latent variable based on one of a low association with the normal data or the matrix of associations; and deleting the abnormal components of the latent variable from the probabilistic graphical mode; wherein the step of learning the parameters of the structure is performed by Expectation Maximization; wherein the step of iteratively associating one or more of the plurality of components is performed by calculating the similarity between the one or more components, and wherein the step of learning the parameters of the structure further evidence on the at least one subset variable, and querying the subset variables to retrieve at least one learning datum. | 1. A method of constructing a probabilistic graphical model of a system from data that includes both normal and anomalous data, the method comprising: learning parameters of a structure for the probabilistic graphical model wherein the structure includes at least one latent variable on which other variables are conditional, and the latent variable having a plurality of components, the structure further including at least one subset variable, the at least one subset variable used to explicitly describe at least one expected mode, wherein the at least one latent variable is conditional on the at least one subset variable; iteratively associating one or more of the plurality of components of the latent variable with normal data; constructing a matrix of the associations; detecting abnormal components of the latent variable based on one of a low association with the normal data or the matrix of associations; and deleting the abnormal components of the latent variable from the probabilistic graphical mode; wherein the step of learning the parameters of the structure is performed by Expectation Maximization; wherein the step of iteratively associating one or more of the plurality of components is performed by calculating the similarity between the one or more components, and wherein the step of learning the parameters of the structure further evidence on the at least one subset variable, and querying the subset variables to retrieve at least one learning datum. 10. The method of claim 1 , wherein the at least one subset variable represents an aircraft tail number. | 0.569087 |
7. A system to process listing data in a network-based publication system, the system comprising: one or more computer hardware processors configured to provide a user with a graphic user interface to enter a query comprising listing data in the network-based publication system, the listing data including at least one entered word operated on by a spellchecker engine having the at least one word as an input and a corrected spelling as an output; provide a rule to define certain types of listing data; identify listing data that meets the rule; based on the identified listing data, override the spellchecker engine output and produce a set of suggestions of preferred words irrespective of any spelling of the identified predefined listing data; store in a database a list of reference words that relate to listings provided by the network-based publication system and that are words that are frequently spelled incorrectly; based on at least one entered word, other than the identified listing data, being misspelled, query the database and identify a plurality of correctly spelled suggested words from the list of reference words that are frequently misspelled to replace the at least one entered misspelled word, the plurality of suggested words to be communicated to the user. | 7. A system to process listing data in a network-based publication system, the system comprising: one or more computer hardware processors configured to provide a user with a graphic user interface to enter a query comprising listing data in the network-based publication system, the listing data including at least one entered word operated on by a spellchecker engine having the at least one word as an input and a corrected spelling as an output; provide a rule to define certain types of listing data; identify listing data that meets the rule; based on the identified listing data, override the spellchecker engine output and produce a set of suggestions of preferred words irrespective of any spelling of the identified predefined listing data; store in a database a list of reference words that relate to listings provided by the network-based publication system and that are words that are frequently spelled incorrectly; based on at least one entered word, other than the identified listing data, being misspelled, query the database and identify a plurality of correctly spelled suggested words from the list of reference words that are frequently misspelled to replace the at least one entered misspelled word, the plurality of suggested words to be communicated to the user. 9. The system of claim 7 , further to make a determination if a frequency of the plurality of suggested words meet a threshold and the plurality of suggested words is to be presented to a user when the threshold is met. | 0.645161 |
11. An apparatus for dictionary matching, the apparatus comprising: a plurality of dictionary memory arrays loaded with a set of dictionary words; a plurality of status arrays, wherein each status array of the plurality of status arrays corresponds to a respective one of the plurality of dictionary memory arrays and wherein each entry of a given status array stores a status bit that indicates whether a corresponding entry of the corresponding dictionary memory array stores a valid dictionary word; hash logic configured to receive an input data word and generate a hash value based on the input data word; and a plurality of comparators, wherein each comparator within the plurality of comparators is configured to receive a dictionary word from a respective one of the plurality of dictionary memory arrays and a status bit from a respective one of the plurality of status arrays using the hash value as a read address and to determine whether the dictionary memory array stores a valid dictionary word that matches the input data word. | 11. An apparatus for dictionary matching, the apparatus comprising: a plurality of dictionary memory arrays loaded with a set of dictionary words; a plurality of status arrays, wherein each status array of the plurality of status arrays corresponds to a respective one of the plurality of dictionary memory arrays and wherein each entry of a given status array stores a status bit that indicates whether a corresponding entry of the corresponding dictionary memory array stores a valid dictionary word; hash logic configured to receive an input data word and generate a hash value based on the input data word; and a plurality of comparators, wherein each comparator within the plurality of comparators is configured to receive a dictionary word from a respective one of the plurality of dictionary memory arrays and a status bit from a respective one of the plurality of status arrays using the hash value as a read address and to determine whether the dictionary memory array stores a valid dictionary word that matches the input data word. 17. The apparatus of claim 11 , wherein the apparatus loads the plurality of dictionary memory arrays with the set of dictionary words and updating the plurality of status arrays, comprising: for a given input dictionary word, generating a corresponding hash value based on the input dictionary word, reading each status array at a target address based on the corresponding hash value to generate a read status, asserting a write enable signal to a target dictionary memory array having a largest size and a read status indicating that a valid dictionary word is not stored in the target dictionary memory array at the target address, and writing the given input dictionary word to the target dictionary memory array at the target address. | 0.538482 |
46. A computer-implemented method for resolving ambiguities in date values associated with an attribute of an entity, the method comprising: identifying a plurality of web documents associated with an attribute of an entity; for each web document in the plurality of web documents, obtaining, from the web document, one or more text strings associated with the attribute of the entity; identifying one or more date formats for at least one of the one or more text strings; and assigning confidence values to each of the one or more date formats for the at least one of the one or more text strings based on a number of unknown variables that remain when interpreting the at least one of the one or more text strings using each of the one or more date formats; determining date strings expressed in date formats with highest confidence values for the at least one of the one or more text strings; and merging subsets of the date strings to obtain a date value for the attribute. | 46. A computer-implemented method for resolving ambiguities in date values associated with an attribute of an entity, the method comprising: identifying a plurality of web documents associated with an attribute of an entity; for each web document in the plurality of web documents, obtaining, from the web document, one or more text strings associated with the attribute of the entity; identifying one or more date formats for at least one of the one or more text strings; and assigning confidence values to each of the one or more date formats for the at least one of the one or more text strings based on a number of unknown variables that remain when interpreting the at least one of the one or more text strings using each of the one or more date formats; determining date strings expressed in date formats with highest confidence values for the at least one of the one or more text strings; and merging subsets of the date strings to obtain a date value for the attribute. 48. The method of claim 46 , further comprising: applying a date format for the obtained date value to all text strings that conform to one or more date formats from at least one domain from which the obtained date value was obtained. | 0.748186 |
1. A computer-implemented method, comprising: presenting a wizard to a user to perform a step-by-step process, each step associated with a step type, the step type being one of confirmation, processing, optional input, or mandatory input, wherein the wizard is capable of presenting a user interface associated with each step in the step-by-step process; executing the wizard process as a batch process by a batch job manager based on a user's first request; and interrupting the batch process based on an associated step type of a current step, the interruption determined by a comparison of the associated step type of the current step to a user parameter, wherein interrupting the batch process comprises: presenting an augmented user interface associated with the current step incorporating at least one user interface element associated with the operations of the batch job manager configured to receive a user's second request; and resuming execution of the batch process based on the user's second request. | 1. A computer-implemented method, comprising: presenting a wizard to a user to perform a step-by-step process, each step associated with a step type, the step type being one of confirmation, processing, optional input, or mandatory input, wherein the wizard is capable of presenting a user interface associated with each step in the step-by-step process; executing the wizard process as a batch process by a batch job manager based on a user's first request; and interrupting the batch process based on an associated step type of a current step, the interruption determined by a comparison of the associated step type of the current step to a user parameter, wherein interrupting the batch process comprises: presenting an augmented user interface associated with the current step incorporating at least one user interface element associated with the operations of the batch job manager configured to receive a user's second request; and resuming execution of the batch process based on the user's second request. 4. The method of claim 1 , further comprising: receiving a prompt; and resuming execution of the batch process in response to the prompt. | 0.58107 |
39. The method of claim 38 , further comprising determining label weights for a portion of the nodes, the determination comprising, for each node of the portion, adding the node's label weight to a label weight of a neighboring node's label, for each neighboring node. | 39. The method of claim 38 , further comprising determining label weights for a portion of the nodes, the determination comprising, for each node of the portion, adding the node's label weight to a label weight of a neighboring node's label, for each neighboring node. 40. The method of claim 39 , wherein the label weight of the neighboring node's label is at least partially based on the relationship relating the node to the node's neighbors. | 0.851253 |
1. A method, comprising: creating a graph of nodes and node relationships, the graph comprising content nodes of content recommended by members of a social network, entity nodes of the recommending members, and links between the entity nodes according to social links between associated members in the social network, each content node being configured so that the content node (i) does not link to another content node and (ii) links to only a single entity node, the single entity node being the entity node of the recommending member who has recommended the content of the content node; converting each node to a feature set of auxiliary information; sampling some sets of the nodes, the nodes of the sampled sets being seed nodes, each feature set including (i) information about seed nodes closest to the node from which the feature set was converted and (ii) distances to those seed nodes, a distance between a pair of feature sets approximating a social distance between the nodes from which the feature sets were converted; indexing the node relationships for keyword searches that return recommended content of the content nodes; identifying a searching user as associated with the social network; and processing a query against the index using keywords. | 1. A method, comprising: creating a graph of nodes and node relationships, the graph comprising content nodes of content recommended by members of a social network, entity nodes of the recommending members, and links between the entity nodes according to social links between associated members in the social network, each content node being configured so that the content node (i) does not link to another content node and (ii) links to only a single entity node, the single entity node being the entity node of the recommending member who has recommended the content of the content node; converting each node to a feature set of auxiliary information; sampling some sets of the nodes, the nodes of the sampled sets being seed nodes, each feature set including (i) information about seed nodes closest to the node from which the feature set was converted and (ii) distances to those seed nodes, a distance between a pair of feature sets approximating a social distance between the nodes from which the feature sets were converted; indexing the node relationships for keyword searches that return recommended content of the content nodes; identifying a searching user as associated with the social network; and processing a query against the index using keywords. 7. The method of claim 1 , further comprising combining the query with a social circle query to find search results that include results from the social network. | 0.5 |
20. The apparatus according to claim 2 , wherein the apparatus further comprises means for extracting a set of age sensitive features from a facial image, wherein the set of age sensitive features is fed to auxiliary demographics class machines, wherein each of the auxiliary demographics class machines computes an auxiliary class likelihood output of the facial image belonging to the auxiliary demographics class and age outputs, and whereby the set of age sensitive features are computed by applying a set of high frequency filters that are designed to extract the positions and shapes of facial boundary, facial features, and to extract facial wrinkles. | 20. The apparatus according to claim 2 , wherein the apparatus further comprises means for extracting a set of age sensitive features from a facial image, wherein the set of age sensitive features is fed to auxiliary demographics class machines, wherein each of the auxiliary demographics class machines computes an auxiliary class likelihood output of the facial image belonging to the auxiliary demographics class and age outputs, and whereby the set of age sensitive features are computed by applying a set of high frequency filters that are designed to extract the positions and shapes of facial boundary, facial features, and to extract facial wrinkles. 21. The apparatus according to claim 20 , wherein the apparatus further comprises means for training a plurality of learning machines using the age sensitive features as training data to classify the age of the facial image, wherein a desired age vector and auxiliary class likelihood output is calculated for each training data, and wherein each training data corresponds to one of the auxiliary demographics classes. | 0.829327 |
7. A system comprising: a disambiguation computer configured to disambiguate a document feature from an electronic document by being further configured to extract the document feature from the electronic document, and link, on-the-fly, as data is requested by a user computer, the extracted document feature to a set of document features having a primary document feature and a secondary document feature stored in a knowledge database of document features of a plurality of electronic documents, the secondary document feature including a proximity cluster of co-occurring features in the plurality of electronic documents; and an in-memory database computer configured to add the disambiguated document feature to the knowledge database of co-occurring document features when the disambiguated document feature matches a document feature of interest in an alert database based at least in part on the linked set of document features including the proximity cluster, wherein the in-memory database computer comprises a main memory storing an in-memory database that comprises the knowledge database, wherein the in-memory database computer is further configured to generate an electronic user alert regarding the matching. | 7. A system comprising: a disambiguation computer configured to disambiguate a document feature from an electronic document by being further configured to extract the document feature from the electronic document, and link, on-the-fly, as data is requested by a user computer, the extracted document feature to a set of document features having a primary document feature and a secondary document feature stored in a knowledge database of document features of a plurality of electronic documents, the secondary document feature including a proximity cluster of co-occurring features in the plurality of electronic documents; and an in-memory database computer configured to add the disambiguated document feature to the knowledge database of co-occurring document features when the disambiguated document feature matches a document feature of interest in an alert database based at least in part on the linked set of document features including the proximity cluster, wherein the in-memory database computer comprises a main memory storing an in-memory database that comprises the knowledge database, wherein the in-memory database computer is further configured to generate an electronic user alert regarding the matching. 8. The system of claim 7 further comprising a scoring computer configured to assign to the disambiguated document feature a confidence score indicative of a level of confidence associated with a degree of disambiguation of the document feature, wherein the disambiguated document feature further matches the document feature of interest in the alert database based at least in part on the confidence score. | 0.734416 |
14. The method of claim 9 , wherein the second parser definitions include a token definition. | 14. The method of claim 9 , wherein the second parser definitions include a token definition. 15. The method of claim 14 , wherein the token identifies a predetermined service. | 0.946488 |
2. The method of claim 1 , comprising: parsing the input text to yield a segment collection comprising domain-relevant textual segments in relation to domain-relevance values, wherein the parsing comprises dividing the input text into textual segments; and removing, from the divided input text, content deemed non-relevant to a particular domain, wherein the removing yields the domain-relevant textual segments; and wherein the projecting and the automatically determining parts of speech are performed on the parsed input text. | 2. The method of claim 1 , comprising: parsing the input text to yield a segment collection comprising domain-relevant textual segments in relation to domain-relevance values, wherein the parsing comprises dividing the input text into textual segments; and removing, from the divided input text, content deemed non-relevant to a particular domain, wherein the removing yields the domain-relevant textual segments; and wherein the projecting and the automatically determining parts of speech are performed on the parsed input text. 3. The method of claim 2 , comprising, prior to the automatically determining parts of speech: measuring domain relevance of the domain-relevant textual segments to the particular domain, wherein the measuring domain relevance yields the domain-relevance values; and verifying a threshold domain relevance of the parsed input text as a precondition of executing the automatically determining parts of speech, wherein the verifying is based at least in part on the domain-relevance values. | 0.871019 |
1. An emoticon input method adapted for a mobile terminal, comprising the steps of: receiving a request of message writing; displaying a plurality of input menus including an emoticon input menu for inputting emoticons along with a message writing display; when the emoticon input menu is selected from the plurality of input menus, entering an emoticon input mode, the plurality of input menus comprises at least two or more input menus selected from a group of an English capital input menu, an English small input menu, a special character input menu, and the emoticon input menu; displaying a plurality of emoticon groups in the emoticon input mode, each of the plurality of emoticon groups including a plurality of emoticons; when an emoticon group is selected from among the plurality of emoticon groups, displaying a plurality of emoticons included in the selected emoticon group; when at least one emoticon is selected from among the plurality of emoticons included in the selected emoticon group, displaying as part of a message the at least one emoticon; receiving an identification of another mobile terminal to receive the message; and transmitting the message including the at least one emoticon to the another mobile terminal based on the identification of the another mobile terminal. | 1. An emoticon input method adapted for a mobile terminal, comprising the steps of: receiving a request of message writing; displaying a plurality of input menus including an emoticon input menu for inputting emoticons along with a message writing display; when the emoticon input menu is selected from the plurality of input menus, entering an emoticon input mode, the plurality of input menus comprises at least two or more input menus selected from a group of an English capital input menu, an English small input menu, a special character input menu, and the emoticon input menu; displaying a plurality of emoticon groups in the emoticon input mode, each of the plurality of emoticon groups including a plurality of emoticons; when an emoticon group is selected from among the plurality of emoticon groups, displaying a plurality of emoticons included in the selected emoticon group; when at least one emoticon is selected from among the plurality of emoticons included in the selected emoticon group, displaying as part of a message the at least one emoticon; receiving an identification of another mobile terminal to receive the message; and transmitting the message including the at least one emoticon to the another mobile terminal based on the identification of the another mobile terminal. 6. The method of claim 1 , wherein the plurality of emoticons are downloaded into the mobile terminal from a base station and stored in the mobile terminal. | 0.787263 |
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