patent_num
int64 3.93M
10.2M
| claim_num1
int64 1
519
| claim_num2
int64 2
520
| sentence1
stringlengths 40
15.9k
| sentence2
stringlengths 88
20k
| label
float64 0.5
1
|
|---|---|---|---|---|---|
8,869,113 | 21 | 23 | 21. A system comprising means for compiling a C++ program having one or more input variables to obtain bytecode of the C++ program; means for modifying a standard C++ library associated with the C++ program to create an optimized C++ library, the optimized C++ library used for symbolic execution and the standard C++ library used for concrete execution, wherein modifying the standard C++ library comprises rewriting one or more classes defined in the standard C++ library to result in fewer execution paths; means for compiling the optimized C++ library to obtain bytecode of the optimized C++ library; means for symbolically executing the bytecode of the C++ program and the bytecode of the optimized C++ library, comprising: means for assigning a symbolic input to each input variable of the C++ program; means for determining one or more execution paths in the C++ program; and for each execution path, means for constructing a symbolic expression that if satisfied, causes the C++ program to proceed down the execution path; means for generating one or more test cases for the C++ program by solving each of the symbolic expressions, the one or more test cases indicating values that satisfy a feasible execution path of the C++ program with respect to the symbolic input; and means for testing the C++ program by compiling the C++ program to obtain machine code and applying the test cases as input to the machine code. | 21. A system comprising means for compiling a C++ program having one or more input variables to obtain bytecode of the C++ program; means for modifying a standard C++ library associated with the C++ program to create an optimized C++ library, the optimized C++ library used for symbolic execution and the standard C++ library used for concrete execution, wherein modifying the standard C++ library comprises rewriting one or more classes defined in the standard C++ library to result in fewer execution paths; means for compiling the optimized C++ library to obtain bytecode of the optimized C++ library; means for symbolically executing the bytecode of the C++ program and the bytecode of the optimized C++ library, comprising: means for assigning a symbolic input to each input variable of the C++ program; means for determining one or more execution paths in the C++ program; and for each execution path, means for constructing a symbolic expression that if satisfied, causes the C++ program to proceed down the execution path; means for generating one or more test cases for the C++ program by solving each of the symbolic expressions, the one or more test cases indicating values that satisfy a feasible execution path of the C++ program with respect to the symbolic input; and means for testing the C++ program by compiling the C++ program to obtain machine code and applying the test cases as input to the machine code. 23. The system of claim 21 , wherein means for modifying the standard C++ library comprises means for rewriting one or more classes defined in the standard C++ library to result in fewer execution paths. | 0.816123 |
9,979,822 | 7 | 8 | 7. The method of claim 6 further including the steps of receiving developer input via the interface linking the instantiated function instances together to specify at least a portion of the complete IT application. | 7. The method of claim 6 further including the steps of receiving developer input via the interface linking the instantiated function instances together to specify at least a portion of the complete IT application. 8. The method of claim 7 further including the steps of compiling the linked function instances to generate scripted language code. | 0.953314 |
8,983,997 | 1 | 8 | 1. An information processing apparatus comprising: a setting unit that sets a search character string; a searching unit that searches information including the set search character string; and a determining unit that extracts a co-occurrence character string candidate group among all partial character strings appearing in a plurality of pieces of the information obtained as a search result, wherein the determining unit determines a co-occurrence character string from the co-occurrence character string candidate group, wherein the setting unit sets one or more contrast character strings to characterize the search character string, wherein the one or more contrast character strings is in contrast with the search character string, and wherein the determining unit determines the co-occurrence character string, on the basis of the comparison result of the appearance frequency of each co-occurrence character string candidate forming the co-occurrence character string candidate, group in the information including the search character string and the appearance frequency of each co-occurrence character string candidate in information including the contrast character string. | 1. An information processing apparatus comprising: a setting unit that sets a search character string; a searching unit that searches information including the set search character string; and a determining unit that extracts a co-occurrence character string candidate group among all partial character strings appearing in a plurality of pieces of the information obtained as a search result, wherein the determining unit determines a co-occurrence character string from the co-occurrence character string candidate group, wherein the setting unit sets one or more contrast character strings to characterize the search character string, wherein the one or more contrast character strings is in contrast with the search character string, and wherein the determining unit determines the co-occurrence character string, on the basis of the comparison result of the appearance frequency of each co-occurrence character string candidate forming the co-occurrence character string candidate, group in the information including the search character string and the appearance frequency of each co-occurrence character string candidate in information including the contrast character string. 8. The information processing apparatus according to claim 1 , wherein the at least one co-occurrence character string candidate group is other than partial strings appearing as only a part of other partial character strings. | 0.740185 |
7,533,102 | 4 | 8 | 4. A method as claimed in claim 3 wherein applying the predefined mapped relationship comprises: generating the respective schema element by creating a first object of a type determined by the predefined mapped relationship, the type of the object determined being a determined object type; specifying a first name for the first object; and setting all required attributes of the first object according to the determined object type. | 4. A method as claimed in claim 3 wherein applying the predefined mapped relationship comprises: generating the respective schema element by creating a first object of a type determined by the predefined mapped relationship, the type of the object determined being a determined object type; specifying a first name for the first object; and setting all required attributes of the first object according to the determined object type. 8. A method as claimed in claim 4 wherein examining comprises determining if the first node is an array and, if the first node is an array, then the step of applying the predefined mapping comprises: creating the first object, wherein the determined object type is a simple type object; setting the first name of the first object; setting a minimum number of fields in the array and a maximum number of fields in the array; setting a name of the fields in the array; and setting the type of the fields in the array. | 0.809118 |
8,725,752 | 1 | 5 | 1. A system for indexing an advertisement in order to match the advertisement to a webpage, the system comprising: a communications interface configured to receive click-through rate (CTR) data for an advertisement; a processor and memory communicatively coupled to the communications interface configured to: extract an advertisement feature from the advertisement and a webpage feature from the webpage that are relevant to each other, via a variable selection technique that includes at least one of: selection of the advertisement feature and the webpage feature using CTR data and views of the advertisement, or selection of the advertisement feature and the webpage feature using relevance scores of words of the advertisement that are independent of click feedback; calculate a coefficient representative of the relevancy between the advertisement feature and the webpage feature; compute a static score for the advertisement by using the CTR data and the coefficient as input to a logistic regression function, wherein the static score provides relevance of the advertisement feature with respect to the webpage feature, and wherein the logistic regression function uses a monotonically increasing linear function; generate a unique identification for the advertisement feature; and generate a unique advertisement identification for the advertisement according to the static score relative to other advertisements. | 1. A system for indexing an advertisement in order to match the advertisement to a webpage, the system comprising: a communications interface configured to receive click-through rate (CTR) data for an advertisement; a processor and memory communicatively coupled to the communications interface configured to: extract an advertisement feature from the advertisement and a webpage feature from the webpage that are relevant to each other, via a variable selection technique that includes at least one of: selection of the advertisement feature and the webpage feature using CTR data and views of the advertisement, or selection of the advertisement feature and the webpage feature using relevance scores of words of the advertisement that are independent of click feedback; calculate a coefficient representative of the relevancy between the advertisement feature and the webpage feature; compute a static score for the advertisement by using the CTR data and the coefficient as input to a logistic regression function, wherein the static score provides relevance of the advertisement feature with respect to the webpage feature, and wherein the logistic regression function uses a monotonically increasing linear function; generate a unique identification for the advertisement feature; and generate a unique advertisement identification for the advertisement according to the static score relative to other advertisements. 5. The system of claim 1 , wherein the monotonically increasing linear function is optimized by an iteratively-reweighted least squares function. | 0.571006 |
5,495,558 | 34 | 36 | 34. The method of claim 24, wherein said selected at least one inference engine calculates properties of inference engines by applying an operational scheme, which is stored in a data base for properties of inference engines to characteristic parameters of an inference engine and said knowledge data. | 34. The method of claim 24, wherein said selected at least one inference engine calculates properties of inference engines by applying an operational scheme, which is stored in a data base for properties of inference engines to characteristic parameters of an inference engine and said knowledge data. 36. The method of claim 34, further comprising the step of displaying said properties which have been calculated. | 0.955963 |
8,788,492 | 37 | 39 | 37. The method of claim 36 wherein identifying one or more hits further includes: extracting a search term from the query; and detecting, for each of the annotations in the search pool, whether the search term is present in the user-specific metadata, wherein the associated document is identified as a hit in the event that the search term is present in the user-specific metadata. | 37. The method of claim 36 wherein identifying one or more hits further includes: extracting a search term from the query; and detecting, for each of the annotations in the search pool, whether the search term is present in the user-specific metadata, wherein the associated document is identified as a hit in the event that the search term is present in the user-specific metadata. 39. The method of claim 37 wherein the user-specific metadata includes a plurality of fields and wherein the query specifies which of the fields are to be considered during the act of detecting. | 0.964456 |
8,656,266 | 23 | 27 | 23. A method performed by one or more devices, the method comprising: identifying, by the one or more devices, a plurality of comments; determining, by the one or more devices, that a first comment, of the plurality of comments, does not include a plurality of links pointing to a plurality of different documents; removing, by the one or more devices and based on the first comment not including the plurality of links pointing to the plurality of different documents, the first comment from the plurality of comments to form a group of comments; identifying, by the one or more devices, a second comment, of the group of comments, that includes a first link to a first document and a second link to a second document that is different than the first document; determining, by the one or more devices, that the second comment is more relevant to the first document than the second comment is to the second document; determining, by the one or more devices, to associate the second comment with the first document and to not associate the second comment with the second document based on determining that the second comment is more relevant to the first document than the second comment is to the second document; storing information that associates the group of comments with the first document; identifying one or more factors associated with one comment of the group of comments, the one or more factors including at least one of: a link-based score associated with the one comment of the group of comments, explicit user feedback associated with the one comment of the group of comments, a language used within the one comment of the group of comments, a ranking score associated with a document from which the one comment of the group of comments originated, a ranking score associated with an author corresponding to the one comment of the group of comments, implicit user feedback associated with the one comment of the group of comments, or information regarding an age of the one comment of the group of comments; assigning a score to the one comment of the group of comments based on the one or more factors; selecting the one comment of the group of comments based on the assigned score; and providing information regarding the one comment of the group of comments for presentation, on a display, in connection with presentation of the first document. | 23. A method performed by one or more devices, the method comprising: identifying, by the one or more devices, a plurality of comments; determining, by the one or more devices, that a first comment, of the plurality of comments, does not include a plurality of links pointing to a plurality of different documents; removing, by the one or more devices and based on the first comment not including the plurality of links pointing to the plurality of different documents, the first comment from the plurality of comments to form a group of comments; identifying, by the one or more devices, a second comment, of the group of comments, that includes a first link to a first document and a second link to a second document that is different than the first document; determining, by the one or more devices, that the second comment is more relevant to the first document than the second comment is to the second document; determining, by the one or more devices, to associate the second comment with the first document and to not associate the second comment with the second document based on determining that the second comment is more relevant to the first document than the second comment is to the second document; storing information that associates the group of comments with the first document; identifying one or more factors associated with one comment of the group of comments, the one or more factors including at least one of: a link-based score associated with the one comment of the group of comments, explicit user feedback associated with the one comment of the group of comments, a language used within the one comment of the group of comments, a ranking score associated with a document from which the one comment of the group of comments originated, a ranking score associated with an author corresponding to the one comment of the group of comments, implicit user feedback associated with the one comment of the group of comments, or information regarding an age of the one comment of the group of comments; assigning a score to the one comment of the group of comments based on the one or more factors; selecting the one comment of the group of comments based on the assigned score; and providing information regarding the one comment of the group of comments for presentation, on a display, in connection with presentation of the first document. 27. The method of claim 23 , where the one or more factors include the ranking score associated with the document from which one comment of the group of comments originated; and where assigning the score to the one comment of the group of comments includes assigning the score to the one comment of the group of comments based on the ranking score associated with the document from which the one comment of the group of the comments originated. | 0.743945 |
8,949,122 | 20 | 23 | 20. A system comprising: at least one processor; and at least one non-transitory storage medium having encoded thereon executable instructions that, when executed by the at least one processor, cause the at least one processor to carry out a method of evaluating a plurality of stored audio phrases and at least one finite state grammar, wherein the at least one finite state grammar defines at least a first plurality of text phrases and wherein the plurality of stored audio phrases correspond to a second plurality of text phrases, the method comprising: determining, for each one text phrase of the first plurality of text phrases and based at least in part on phrase characteristics associated with the plurality of stored audio phrases, whether there is an audio phrase of the plurality of stored audio phrases that corresponds to the one text phrase; and identifying a phrase coverage for the at least one finite state grammar based at least in part on whether the audio phrase corresponds to the text phrase, the phrase coverage indicating whether there are one or more text phrases of the first plurality of text phrases defined by the at least one finite state grammar to which none of the plurality of stored audio phrases corresponds. | 20. A system comprising: at least one processor; and at least one non-transitory storage medium having encoded thereon executable instructions that, when executed by the at least one processor, cause the at least one processor to carry out a method of evaluating a plurality of stored audio phrases and at least one finite state grammar, wherein the at least one finite state grammar defines at least a first plurality of text phrases and wherein the plurality of stored audio phrases correspond to a second plurality of text phrases, the method comprising: determining, for each one text phrase of the first plurality of text phrases and based at least in part on phrase characteristics associated with the plurality of stored audio phrases, whether there is an audio phrase of the plurality of stored audio phrases that corresponds to the one text phrase; and identifying a phrase coverage for the at least one finite state grammar based at least in part on whether the audio phrase corresponds to the text phrase, the phrase coverage indicating whether there are one or more text phrases of the first plurality of text phrases defined by the at least one finite state grammar to which none of the plurality of stored audio phrases corresponds. 23. The system of claim 20 , wherein the determining, based at least in part on phrase characteristics, comprises determining whether an audio phrase correspond to each one text phrase based at least in part on at least two of a gender of a speaker, an age of a speaker, a native language of a speaker, a region of childhood residence of the speaker, at least one environmental characteristic of the audio phrase, at least one audio capture characteristic of the audio phrase, and a signal to noise ratio (SNR) present in the audio phrase, and wherein the method further comprises specifying at least one constraint that limits the determining to a set of stored audio phrases having a value for at least one of the phrase characteristics matching a value defined in a constraint. | 0.50064 |
6,026,388 | 10 | 13 | 10. A method of operating a computerized information retrieval system where information is retrieved from a database containing documents in response to user queries, the method comprising: receiving a natural language query specifying information to be retrieved; processing the query to abstract the query to an alternative representation suitable for input to a database of documents, each document of which is abstracted to a corresponding alterative representation; displaying query information to the user indicating the result of said step of processing the query, the query information including a number of items characterizing the query including a subset of a finite set of subjects, the subset corresponding to subjects interpreted by the system to characterize the subject contents of the query; entering a mode that permits user modification of the items of query information; remaining in the mode pending user input that specifies exiting the mode, user input that specifies exiting the mode including a request to execute the query; while in the mode, receiving user modifications, if any, of the items of query information; and in response to a request to execute the query, executing the query, modified in accordance with any user modifications of the items of query information, against the database. | 10. A method of operating a computerized information retrieval system where information is retrieved from a database containing documents in response to user queries, the method comprising: receiving a natural language query specifying information to be retrieved; processing the query to abstract the query to an alternative representation suitable for input to a database of documents, each document of which is abstracted to a corresponding alterative representation; displaying query information to the user indicating the result of said step of processing the query, the query information including a number of items characterizing the query including a subset of a finite set of subjects, the subset corresponding to subjects interpreted by the system to characterize the subject contents of the query; entering a mode that permits user modification of the items of query information; remaining in the mode pending user input that specifies exiting the mode, user input that specifies exiting the mode including a request to execute the query; while in the mode, receiving user modifications, if any, of the items of query information; and in response to a request to execute the query, executing the query, modified in accordance with any user modifications of the items of query information, against the database. 13. The method of claim 10 wherein: the query includes a particular term; and the query information includes a plurality of variations representing an expansion of the particular term. | 0.738636 |
7,725,308 | 14 | 15 | 14. The method of claim 10 wherein if the developer decides that the selected object should be included in the new grammar, then the method further comprises: creating a bridging rule for each broad category of object phrases; creating an object name grammar rule for each created bridging rule; allowing the developer to select names for the included object; and adding entries in the new grammar for each selected name. | 14. The method of claim 10 wherein if the developer decides that the selected object should be included in the new grammar, then the method further comprises: creating a bridging rule for each broad category of object phrases; creating an object name grammar rule for each created bridging rule; allowing the developer to select names for the included object; and adding entries in the new grammar for each selected name. 15. The method of claim 14 further comprising: specializing object rules not requiring developer input; and specializing query rules requiring only the name of a domain object. | 0.893204 |
9,699,129 | 1 | 8 | 1. An electronic mail apparatus, comprising: a computing device capable of being connected to a network; and an email productivity module, executed by the computing device, and configured to interact with an existing email application executed by the computing device that sends and receives email messages over the network, wherein the email productivity module includes: a content analysis engine, executed by the computing device, configured to analyze a received email message to generate content information representative of a content of the received email message; a prioritization module, executed by the computing device, having at least one prioritization knowledge base implemented on the computing device, the prioritization module being configured to apply the content information to the at least one prioritization knowledge base to determine at least one priority score for the received email message that reflects a relative priority of the received email message as a legitimate email message and to assign at least one priority level to the received email message based on the priority score that reflects a range of priority scores; a message sorting module, executed by the computing device, having at least one sorting knowledge base implemented on the computing device, the message sorting module being configured to apply the content information to the at least one sorting knowledge base to determine a set of suggested folders for the received email message that represent one or more folders in which are stored other emails having similar content and in which a user would be most likely to store the received email message; and a junkmail module, executed by the computing device, having at least one junkmail knowledge base implemented on the computing device, the junkmail module being configured to apply the content information to the at least one junkmail knowledge base to determine a junkmail score for the received email message that represents a probability that the received email message is junkmail, and the junkmail module being configured to cause a user interface of the existing email application to modify a presentation of the received email message in accordance with the junkmail score; the email productivity module being configured to attach fields for the priority score, priority level, set of suggested folders, and junkmail score to the received email message for display by the existing email application; the email productivity module being configured to receive user feedback to the existing email application indicative of a user action taken with respect to the received email message, and to cause the computing device to adapt the at least one prioritization knowledge base, the at least one sorting database, or the at least one junkmail database, in accordance with the user feedback; wherein the at least one prioritization knowledge base is adapted by the computing device in accordance with explicit user feedback in an event that the user modifies the at least one priority level or the at least one priority score produced by the prioritization module and attached to the received email message for display; and wherein the at least one prioritization knowledge base is adapted by the computing device in accordance with implicit user feedback in an event that the user does not modify the at least one priority level or the at least one priority score produced by the prioritization module and attached to the received email message for display. | 1. An electronic mail apparatus, comprising: a computing device capable of being connected to a network; and an email productivity module, executed by the computing device, and configured to interact with an existing email application executed by the computing device that sends and receives email messages over the network, wherein the email productivity module includes: a content analysis engine, executed by the computing device, configured to analyze a received email message to generate content information representative of a content of the received email message; a prioritization module, executed by the computing device, having at least one prioritization knowledge base implemented on the computing device, the prioritization module being configured to apply the content information to the at least one prioritization knowledge base to determine at least one priority score for the received email message that reflects a relative priority of the received email message as a legitimate email message and to assign at least one priority level to the received email message based on the priority score that reflects a range of priority scores; a message sorting module, executed by the computing device, having at least one sorting knowledge base implemented on the computing device, the message sorting module being configured to apply the content information to the at least one sorting knowledge base to determine a set of suggested folders for the received email message that represent one or more folders in which are stored other emails having similar content and in which a user would be most likely to store the received email message; and a junkmail module, executed by the computing device, having at least one junkmail knowledge base implemented on the computing device, the junkmail module being configured to apply the content information to the at least one junkmail knowledge base to determine a junkmail score for the received email message that represents a probability that the received email message is junkmail, and the junkmail module being configured to cause a user interface of the existing email application to modify a presentation of the received email message in accordance with the junkmail score; the email productivity module being configured to attach fields for the priority score, priority level, set of suggested folders, and junkmail score to the received email message for display by the existing email application; the email productivity module being configured to receive user feedback to the existing email application indicative of a user action taken with respect to the received email message, and to cause the computing device to adapt the at least one prioritization knowledge base, the at least one sorting database, or the at least one junkmail database, in accordance with the user feedback; wherein the at least one prioritization knowledge base is adapted by the computing device in accordance with explicit user feedback in an event that the user modifies the at least one priority level or the at least one priority score produced by the prioritization module and attached to the received email message for display; and wherein the at least one prioritization knowledge base is adapted by the computing device in accordance with implicit user feedback in an event that the user does not modify the at least one priority level or the at least one priority score produced by the prioritization module and attached to the received email message for display. 8. The apparatus of claim 1 , wherein the email productivity module includes an intelligent search function that allows a user to select one or more messages and search stored messages in every folder to find messages with similar content. | 0.618211 |
9,130,651 | 1 | 60 | 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. 60. The energy harvesting communication device of claim 1 , wherein said communication apparatus further comprises an audio device being configured for at least audio and/or visual application operable for at least one of: inputting communications; outputting communications; wherein said at least one audio and/or visual application further comprises at least an audio and/or visual device comprising at least one of: a touch screen input and/or output device; at least a speaker device; at least a microphone device; at least a voice enabled communications device, a device for multimedia communication including Voice Over Internet Protocol “VOIP. | 0.817723 |
9,043,290 | 7 | 12 | 7. A system for rewriting a relational expression, the system comprising: one or more processors, one or more computer-readable memories, one or more computer-readable tangible storage devices, and program instructions stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, the program instructions comprising: program instructions to determine a first type of relational expression, wherein the first type of the relational expression includes: a signed two's complement byte-length, a floating-point type, a packed decimal format, and a zoned decimal format; program instructions to determine a first segment of bytes and a second segment of bytes, wherein the first segment of bytes comprises leading bytes and the second segment of bytes comprises a last byte containing sign information; program instructions to generate a first set of conjunctive terms, wherein the first set of conjunctive terms are compared to the first segment of bytes and the second segment of bytes; and program instructions to rewrite the first type of the relational expression to a second type of relational expression, based, at least in part, on the first set of conjunctive terms. | 7. A system for rewriting a relational expression, the system comprising: one or more processors, one or more computer-readable memories, one or more computer-readable tangible storage devices, and program instructions stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, the program instructions comprising: program instructions to determine a first type of relational expression, wherein the first type of the relational expression includes: a signed two's complement byte-length, a floating-point type, a packed decimal format, and a zoned decimal format; program instructions to determine a first segment of bytes and a second segment of bytes, wherein the first segment of bytes comprises leading bytes and the second segment of bytes comprises a last byte containing sign information; program instructions to generate a first set of conjunctive terms, wherein the first set of conjunctive terms are compared to the first segment of bytes and the second segment of bytes; and program instructions to rewrite the first type of the relational expression to a second type of relational expression, based, at least in part, on the first set of conjunctive terms. 12. The system of claim 7 , wherein the second type of relational expression comprises an unsigned binary relational operator. | 0.834646 |
7,711,550 | 1 | 3 | 1. A method of recognizing names from a text string entered according to one of a plurality of spoken languages for providing helpful actions in association with recognized names, the method being implemented at least in part by a computer and comprising: receiving, by the computer, a previously generated text string; passing the text string to a name recognizer application; determining whether a particular spoken language is associated with the text string; applying a set of name rules of the spoken language associated with the text string to a plurality of individual words comprising the text string, the set of name rules comprising grammatical rules and sentence structure rules in the spoken language; determining whether any of the plurality of individual words comprise a name according to the set of name rules of the spoken language associated with the text string; if any of the plurality of individual words comprise a name, generating a list of user actions that may be performed on the name, wherein generating the list of actions that may be performed on the name comprises, analyzing the language associated with the text string, and determining if the name exists in a user contacts database, associating the list of actions with the name, returning the name and the list of user actions associated with the name to a host application with which the text string was previously generated for providing the list of user actions associated with the name, and marking the name in the text string to indicate actions are available in association with the name; and providing to a user the list of user actions in association with the name. | 1. A method of recognizing names from a text string entered according to one of a plurality of spoken languages for providing helpful actions in association with recognized names, the method being implemented at least in part by a computer and comprising: receiving, by the computer, a previously generated text string; passing the text string to a name recognizer application; determining whether a particular spoken language is associated with the text string; applying a set of name rules of the spoken language associated with the text string to a plurality of individual words comprising the text string, the set of name rules comprising grammatical rules and sentence structure rules in the spoken language; determining whether any of the plurality of individual words comprise a name according to the set of name rules of the spoken language associated with the text string; if any of the plurality of individual words comprise a name, generating a list of user actions that may be performed on the name, wherein generating the list of actions that may be performed on the name comprises, analyzing the language associated with the text string, and determining if the name exists in a user contacts database, associating the list of actions with the name, returning the name and the list of user actions associated with the name to a host application with which the text string was previously generated for providing the list of user actions associated with the name, and marking the name in the text string to indicate actions are available in association with the name; and providing to a user the list of user actions in association with the name. 3. The method of claim 1 , after passing the text string to the name recognizer application, breaking the text string into a plurality of individual words. | 0.776012 |
7,624,007 | 1 | 6 | 1. A distributed method of recognizing and responding in real time to a user question posed within an application program executing on a client device, comprising: receiving query data generated by the client device over a network; considering a context experienced by a user within the application and loading one or both of appropriate grammars or dictionaries for the context; processing the query data at a server device to form a query text associated with the user question using the appropriate grammars and dictionaries; submitting the query text to a database query engine and a natural language engine; processing the query text using the natural language engine to identify any word phrases in the query text; retrieving a first set of question/answer pairs from a question/answer pair database using the database query engine; forming a combined query to a question/answer pair database using the database query engine, the combined query being based on the query text concatenated with the word phrases and retrieving a second set of question/answer pairs using the combined query; evaluating the first and second sets of question/answer pairs by comparing word phrases in the sets of question/answer pairs with the word phrases from the query text to identify at least one question/answer pair that best matches the user question; and providing an answer to the user question in real-time over a distributed query system, the answer being determined from the question/answer pair that best matches the user question. | 1. A distributed method of recognizing and responding in real time to a user question posed within an application program executing on a client device, comprising: receiving query data generated by the client device over a network; considering a context experienced by a user within the application and loading one or both of appropriate grammars or dictionaries for the context; processing the query data at a server device to form a query text associated with the user question using the appropriate grammars and dictionaries; submitting the query text to a database query engine and a natural language engine; processing the query text using the natural language engine to identify any word phrases in the query text; retrieving a first set of question/answer pairs from a question/answer pair database using the database query engine; forming a combined query to a question/answer pair database using the database query engine, the combined query being based on the query text concatenated with the word phrases and retrieving a second set of question/answer pairs using the combined query; evaluating the first and second sets of question/answer pairs by comparing word phrases in the sets of question/answer pairs with the word phrases from the query text to identify at least one question/answer pair that best matches the user question; and providing an answer to the user question in real-time over a distributed query system, the answer being determined from the question/answer pair that best matches the user question. 6. The method of claim 1 , further comprising considering the context experienced by the user in processing the query text with the natural language engine. | 0.75625 |
7,636,656 | 10 | 11 | 10. A system, comprising: one or more processors; a memory coupled to the processor and comprising a localization database comprising text strings and associated translations of the text strings in a different language, wherein the memory further comprises program instructions executable by the one or more processors to: extract localizable text strings from one or more localizable files associated with a product to be localized for the different language, wherein said extracting comprises masking each localizable file with a corresponding shade file, wherein each shade file comprises content of the corresponding localizable file with the localizable text strings removed, and wherein the localization mechanism is configured to operate on the localizable files independent of the particular file formats of the localizable files; and initiate an iteration of a localization process, wherein, in said localization process, the program instructions are further executable to: search the localization database for translations of the extracted localizable text strings; if a translation for a localizable text string is not found in the localization database, generate an entry in a translation kit for the localizable text string, wherein the translation kit is formatted in accordance with a canonical translation kit format, wherein the same canonical format is used for the translation kit regardless of the format of the localizable files, and wherein the translation kit is separate from the localizable files; and if a translation for a localizable text string is found in the localization database, record the translation for the localizable text string. | 10. A system, comprising: one or more processors; a memory coupled to the processor and comprising a localization database comprising text strings and associated translations of the text strings in a different language, wherein the memory further comprises program instructions executable by the one or more processors to: extract localizable text strings from one or more localizable files associated with a product to be localized for the different language, wherein said extracting comprises masking each localizable file with a corresponding shade file, wherein each shade file comprises content of the corresponding localizable file with the localizable text strings removed, and wherein the localization mechanism is configured to operate on the localizable files independent of the particular file formats of the localizable files; and initiate an iteration of a localization process, wherein, in said localization process, the program instructions are further executable to: search the localization database for translations of the extracted localizable text strings; if a translation for a localizable text string is not found in the localization database, generate an entry in a translation kit for the localizable text string, wherein the translation kit is formatted in accordance with a canonical translation kit format, wherein the same canonical format is used for the translation kit regardless of the format of the localizable files, and wherein the translation kit is separate from the localizable files; and if a translation for a localizable text string is found in the localization database, record the translation for the localizable text string. 11. The system as recited in claim 10 , wherein, to record the translation for the localizable text string, the program instructions are further executable to write the translation for the localizable text string into a localized version of the localizable file at a location from which the corresponding localizable string was extracted, such that the localized version matches an original file structure of the localizable file. | 0.851519 |
8,635,240 | 1 | 7 | 1. A user-interface method of incrementally providing fully qualified links to a set of relevant search engines implemented by a computer comprising at least one processor, the method comprising: identifying a set of search engines and associating each search engine of the set with at least one descriptive category to which the subject matter of the corresponding search engine relates; receiving a partial search query entered on a keypad by a user; after at least one keypress received from the user, inferring a set of potential full queries intended by the user, wherein the inferring the set of potential full queries includes determining suggested query refinements based at least in part on the partial search query; selecting a subset of the identified search engines that are relevant to at least one of the set of inferred full queries based on comparing the inferred full queries with the descriptive categories associated with the search engines; and for each of the selected search engines, providing a fully qualified link designed to directly launch a search for a relevant query using the search engine. | 1. A user-interface method of incrementally providing fully qualified links to a set of relevant search engines implemented by a computer comprising at least one processor, the method comprising: identifying a set of search engines and associating each search engine of the set with at least one descriptive category to which the subject matter of the corresponding search engine relates; receiving a partial search query entered on a keypad by a user; after at least one keypress received from the user, inferring a set of potential full queries intended by the user, wherein the inferring the set of potential full queries includes determining suggested query refinements based at least in part on the partial search query; selecting a subset of the identified search engines that are relevant to at least one of the set of inferred full queries based on comparing the inferred full queries with the descriptive categories associated with the search engines; and for each of the selected search engines, providing a fully qualified link designed to directly launch a search for a relevant query using the search engine. 7. The method of claim 1 further comprising learning user preferences by analyzing previous user input, and inferring the potential full queries according to said learned user preferences. | 0.763224 |
9,544,265 | 8 | 9 | 8. The method of claim 7 , further comprising executing on the processing unit the step of: pushing older messages out of the display window to make room for newly received or sent text messages. | 8. The method of claim 7 , further comprising executing on the processing unit the step of: pushing older messages out of the display window to make room for newly received or sent text messages. 9. The method of claim 8 , wherein the character combination text string input comprises an initial character combination text string and an ending character combination text string that bracket the outgoing message portion, and wherein the initial character combination text string is different from the ending character combination text string. | 0.947224 |
7,899,976 | 3 | 4 | 3. The integrated circuit chip according to claim 2 , wherein the programmable intelligent search memory further comprises a FSA extension architecture to support regular expressions that result in finite state automata with a number of symbols more than said fixed number of symbol memory circuits to store said symbols. | 3. The integrated circuit chip according to claim 2 , wherein the programmable intelligent search memory further comprises a FSA extension architecture to support regular expressions that result in finite state automata with a number of symbols more than said fixed number of symbol memory circuits to store said symbols. 4. The integrated circuit chip according to claim 3 , wherein the programmable intelligent search memory further comprises one or more PRISM memory clusters comprising said plurality of programmable search engines, wherein said plurality of programmable search engines are organized in an array of rows and columns such that each said plurality of programmable search engines is addressable using a row address and a column address. | 0.914726 |
8,352,389 | 1 | 9 | 1. A method for employing a multiple output relaxation (MOR) machine learning model to predict, using an input, multiple interdependent output components of a multiple output dependency (MOD) output decision, each output component having multiple possible values, the method comprising: training a classifier for each of multiple interdependent output components of an MOD output decision to predict the output component based on the input and based on all of the other output components; initializing each of the possible values for each of the output components to a predetermined output value; running relaxation iterations on each of the classifiers to update the output value of each possible value for each of the output components until a relaxation state reaches an equilibrium or a maximum number of relaxation iterations is reached; and retrieving an optimal output component from each of the classifiers. | 1. A method for employing a multiple output relaxation (MOR) machine learning model to predict, using an input, multiple interdependent output components of a multiple output dependency (MOD) output decision, each output component having multiple possible values, the method comprising: training a classifier for each of multiple interdependent output components of an MOD output decision to predict the output component based on the input and based on all of the other output components; initializing each of the possible values for each of the output components to a predetermined output value; running relaxation iterations on each of the classifiers to update the output value of each possible value for each of the output components until a relaxation state reaches an equilibrium or a maximum number of relaxation iterations is reached; and retrieving an optimal output component from each of the classifiers. 9. A non-transitory computer-readable medium storing a program that causes a processor to execute the method according to claim 1 . | 0.947092 |
9,087,519 | 22 | 26 | 22. A system for scoring speech, comprising: a processing system; and a memory wherein the processing system is configured to perform operations including: receiving a speech sample, wherein the speech sample is based upon speaking from a script; aligning the speech sample with the script; extracting an event recognition metric of the speech sample; detecting locations of prosodic events in the speech sample based on the event recognition metric; comparing the locations of the detected prosodic events with locations of model prosodic events, wherein the locations of model prosodic events identify expected locations of prosodic events of a fluent, native speaker speaking the script, and wherein the comparing comprises comparing a first data structure for the model prosodic events and a second data structure for the detected prosodic events, the first data structure and the second data structure including binary data per syllable representing whether or not a syllable exhibits a stress and whether or not the syllable exhibits a tone change, said comparing including comparing per syllable the binary data representing stress and the binary data representing tone change for the model prosodic events and the detected prosodic events; calculating a prosodic event metric based on the comparison; and scoring the speech sample using a scoring model based upon the prosodic event metric. | 22. A system for scoring speech, comprising: a processing system; and a memory wherein the processing system is configured to perform operations including: receiving a speech sample, wherein the speech sample is based upon speaking from a script; aligning the speech sample with the script; extracting an event recognition metric of the speech sample; detecting locations of prosodic events in the speech sample based on the event recognition metric; comparing the locations of the detected prosodic events with locations of model prosodic events, wherein the locations of model prosodic events identify expected locations of prosodic events of a fluent, native speaker speaking the script, and wherein the comparing comprises comparing a first data structure for the model prosodic events and a second data structure for the detected prosodic events, the first data structure and the second data structure including binary data per syllable representing whether or not a syllable exhibits a stress and whether or not the syllable exhibits a tone change, said comparing including comparing per syllable the binary data representing stress and the binary data representing tone change for the model prosodic events and the detected prosodic events; calculating a prosodic event metric based on the comparison; and scoring the speech sample using a scoring model based upon the prosodic event metric. 26. The system of claim 22 , wherein speech classification is used to detect the locations of the prosodic events in the speech sample. | 0.865805 |
9,202,172 | 1 | 5 | 1. An apparatus for processing data in a computer-aided logic system, comprising: at least one reasoning device having a reasoner configured to make inferences based on a semantic model and a model instance of the semantic model using data; at least one data source connected to said at least one reasoning device for providing data for processing by said reasoning device; at least one application configured to make a request to said reasoning device and to receive results of inferences from said reasoning device; said reasoning device and said data source interacting in such a way that said reasoning device receives associated event-based data from said data source for making a causal and/or temporal inference at a time triggered by a determination that an event has occurred in said data source, and wherein information about the event-based data from said at least one data source includes a temporal component and a causal component. | 1. An apparatus for processing data in a computer-aided logic system, comprising: at least one reasoning device having a reasoner configured to make inferences based on a semantic model and a model instance of the semantic model using data; at least one data source connected to said at least one reasoning device for providing data for processing by said reasoning device; at least one application configured to make a request to said reasoning device and to receive results of inferences from said reasoning device; said reasoning device and said data source interacting in such a way that said reasoning device receives associated event-based data from said data source for making a causal and/or temporal inference at a time triggered by a determination that an event has occurred in said data source, and wherein information about the event-based data from said at least one data source includes a temporal component and a causal component. 5. The apparatus according to claim 1 , wherein said reasoning device includes subscription means configured for appropriately selecting a respective said data source by way of a request from said application. | 0.722074 |
9,798,748 | 18 | 21 | 18. A computer-implemented method of constructing a query with which to retrieve information from a database, the method comprising: receiving one or more keywords input from a user; determining, by at least one processor of a computer system, a first dataset identified in a schema of the database based on the received one or more keywords and metadata associated with the first dataset; determining, by at least one processor of the computer system, a second dataset identified in the schema of the database based on input from the user and metadata associated with the second dataset; representing graphically, by a display of the computer system, the determined first dataset as a first icon and the determined second dataset as a second icon in a canvas presented to the user; receiving information that the user has graphically associated the first icon with the second icon on the canvas; in response to the user's graphical association of the first and second icons, generating a combination dataset of the first and second datasets; representing graphically the combination dataset as a third icon in the canvas and representing graphically in the canvas a relationship between the combination dataset and the first and second datasets; presenting a natural language query to the user, the natural language query including an intuitive description of a query based on the relationship between the combination dataset and the first and second datasets and an experience level of the user, the intuitive description being different for users with different experience levels; receiving a selection of the natural language query from the user; constructing, by at least one processor of the computer system in response to receiving the selection of the natural language query from the user, a machine-readable structured query based on the first dataset, the second dataset, the combination dataset and the relationship between the first dataset, the second dataset, and the combination dataset; and returning data from the database, the returned data corresponding to an execution of the machine-readable structured query against the database. | 18. A computer-implemented method of constructing a query with which to retrieve information from a database, the method comprising: receiving one or more keywords input from a user; determining, by at least one processor of a computer system, a first dataset identified in a schema of the database based on the received one or more keywords and metadata associated with the first dataset; determining, by at least one processor of the computer system, a second dataset identified in the schema of the database based on input from the user and metadata associated with the second dataset; representing graphically, by a display of the computer system, the determined first dataset as a first icon and the determined second dataset as a second icon in a canvas presented to the user; receiving information that the user has graphically associated the first icon with the second icon on the canvas; in response to the user's graphical association of the first and second icons, generating a combination dataset of the first and second datasets; representing graphically the combination dataset as a third icon in the canvas and representing graphically in the canvas a relationship between the combination dataset and the first and second datasets; presenting a natural language query to the user, the natural language query including an intuitive description of a query based on the relationship between the combination dataset and the first and second datasets and an experience level of the user, the intuitive description being different for users with different experience levels; receiving a selection of the natural language query from the user; constructing, by at least one processor of the computer system in response to receiving the selection of the natural language query from the user, a machine-readable structured query based on the first dataset, the second dataset, the combination dataset and the relationship between the first dataset, the second dataset, and the combination dataset; and returning data from the database, the returned data corresponding to an execution of the machine-readable structured query against the database. 21. The method of claim 18 , wherein determining a first dataset comprises: presenting to the user a plurality of potential first datasets identified in a schema of the database based on the input keywords, wherein the identified first datasets include data source metadata, field metadata, data value metadata, or data values that correspond to the one or more keywords; and receiving a selection by the user of the first dataset from the plurality of potential first datasets. | 0.507216 |
9,646,246 | 1 | 4 | 1. A method for associating an entity of a contact with a character string, wherein a database stores a plurality of contacts, and each contact has a defined set of entities, comprising: determining, for a first subgroup of the defined set of entities, using a processor, whether the character string comprises a structure associated with the first subgroup of the defined set of entities, prior to any probabilistic approximation, wherein the structure comprises at least one character other than alphanumeric characters; replacing all numerical digits in the character string with a corresponding digit placeholder to generate a blurred character string in response to a determination that the character string does not comprise the structure associated with the first subgroup; and determining, for a second subgroup of the defined set of entities, using a processor, a probabilistic approximation that the blurred character string is associated with at least one of the defined set of entities in the second subgroup by scoring the blurred character string for each of the defined set of entities associated with the blurred character string; and identifying the character string as one of the set of defined entities having a highest score that satisfies a predetermined score threshold. | 1. A method for associating an entity of a contact with a character string, wherein a database stores a plurality of contacts, and each contact has a defined set of entities, comprising: determining, for a first subgroup of the defined set of entities, using a processor, whether the character string comprises a structure associated with the first subgroup of the defined set of entities, prior to any probabilistic approximation, wherein the structure comprises at least one character other than alphanumeric characters; replacing all numerical digits in the character string with a corresponding digit placeholder to generate a blurred character string in response to a determination that the character string does not comprise the structure associated with the first subgroup; and determining, for a second subgroup of the defined set of entities, using a processor, a probabilistic approximation that the blurred character string is associated with at least one of the defined set of entities in the second subgroup by scoring the blurred character string for each of the defined set of entities associated with the blurred character string; and identifying the character string as one of the set of defined entities having a highest score that satisfies a predetermined score threshold. 4. The method of claim 1 , wherein the step of evaluating a probabilistic approximation further comprises calculating a posterior probability over a limited set of character string features. | 0.940957 |
8,296,279 | 10 | 12 | 10. A method, comprising: creating an index corresponding to a word occurring in content at one or more network locations, the index including: two or more substrings of the word; one or more inclusive strings associated with at least one of the two or more substrings of the word, each of the one or more inclusive strings comprising the corresponding substring and at least one more character included in the word; and one or more locations, wherein each of the two or more substrings correspond to at least one of the one or more locations, and the one or more locations identify content that includes at least one of the substring of the word; identifying a search query, the search query including at least one search term that matches the word; and using the index to identify one or more search results for the search query based on the one or more locations included in the index wherein the location is a network location of a web page in which the word occurs. | 10. A method, comprising: creating an index corresponding to a word occurring in content at one or more network locations, the index including: two or more substrings of the word; one or more inclusive strings associated with at least one of the two or more substrings of the word, each of the one or more inclusive strings comprising the corresponding substring and at least one more character included in the word; and one or more locations, wherein each of the two or more substrings correspond to at least one of the one or more locations, and the one or more locations identify content that includes at least one of the substring of the word; identifying a search query, the search query including at least one search term that matches the word; and using the index to identify one or more search results for the search query based on the one or more locations included in the index wherein the location is a network location of a web page in which the word occurs. 12. The method of claim 10 , wherein creating an index corresponding to a word comprises creating an index corresponding to a word occurring in a web page identified by a uniform-resource locator (URL). | 0.842924 |
9,015,146 | 1 | 4 | 1. A computer-implemented method for facilitating optimization of access times of database queries made from a database, the computer-implemented-method comprising: obtaining a first data frequency access measure which is indicative of a frequency with which data stored in the database is accessed by a first database query type of the database queries; obtaining a second data frequency access measure which is indicative of a frequency with which data stored in the database is accessed by a second database query type of the database queries that is different from the first database query type, wherein the first and second data frequency access measures are each determined based on views, rules, and intermediates products associated with the database queries; assigning at least one processing rule for processing database queries of the first database query type, based on the first data frequency access measure; assigning at least one other processing rule for processing database queries of the second database query type, based on the second data frequency access measure; and wherein the at least one and at least one other processing rules respectively assign different priorities to execution queries of the first and second database query types. | 1. A computer-implemented method for facilitating optimization of access times of database queries made from a database, the computer-implemented-method comprising: obtaining a first data frequency access measure which is indicative of a frequency with which data stored in the database is accessed by a first database query type of the database queries; obtaining a second data frequency access measure which is indicative of a frequency with which data stored in the database is accessed by a second database query type of the database queries that is different from the first database query type, wherein the first and second data frequency access measures are each determined based on views, rules, and intermediates products associated with the database queries; assigning at least one processing rule for processing database queries of the first database query type, based on the first data frequency access measure; assigning at least one other processing rule for processing database queries of the second database query type, based on the second data frequency access measure; and wherein the at least one and at least one other processing rules respectively assign different priorities to execution queries of the first and second database query types. 4. The method of claim 1 , further including: determining the first data frequency access measure by creating a plurality of views into data in each table in the database, each view being dependent on the frequency with which data is accessed. | 0.687661 |
9,215,510 | 14 | 15 | 14. The system of claim 11 , wherein the control circuitry is further configured to cross-reference the verbal input with an expected playback adjustment operation database to identify an expected playback adjustment operation associated with the verbal input. | 14. The system of claim 11 , wherein the control circuitry is further configured to cross-reference the verbal input with an expected playback adjustment operation database to identify an expected playback adjustment operation associated with the verbal input. 15. The system of claim 14 , wherein the combination is cross-referenced with the attribute database in response to determining the requested playback adjustment operation matches the expected playback adjustment operation. | 0.800537 |
7,840,073 | 1 | 2 | 1. A method of generating a pictographic character on a display of an electronic device comprising an input device, the method comprising: the electronic device generating on the display a pictographic character comprising a radical portion and at least one non-radical portion; designating at least one of the at least one non-radical portions as a selected portion; and the electronic device generating on the display a different pictographic character comprising the selected portion. | 1. A method of generating a pictographic character on a display of an electronic device comprising an input device, the method comprising: the electronic device generating on the display a pictographic character comprising a radical portion and at least one non-radical portion; designating at least one of the at least one non-radical portions as a selected portion; and the electronic device generating on the display a different pictographic character comprising the selected portion. 2. The method of claim 1 , wherein generating the different pictographic character comprising the selected portion comprises adding a radical to the selected portion of the pictographic character. | 0.707463 |
8,669,888 | 3 | 5 | 3. The Hangeul input keypad of claim 1 , including 4 or 5 consonant keys. | 3. The Hangeul input keypad of claim 1 , including 4 or 5 consonant keys. 5. The Hangeul input keypad of claim 3 , wherein each of the groups ( , ), ( , ), ( , , ), and ( , ) is assigned to a different one of the 4 consonant keys. | 0.97146 |
7,853,863 | 1 | 10 | 1. A method for expressing emotion comprising: accessing an input audio message for translation into a text format; and processing said input audio message to determine a portion of said input audio message having heightened emotional value, and wherein said processing is operable to create a textual equivalent of said input audio message as an animated text message, wherein said determined portion of said input audio message is visually emphasized in said animated text message. | 1. A method for expressing emotion comprising: accessing an input audio message for translation into a text format; and processing said input audio message to determine a portion of said input audio message having heightened emotional value, and wherein said processing is operable to create a textual equivalent of said input audio message as an animated text message, wherein said determined portion of said input audio message is visually emphasized in said animated text message. 10. The method as described in claim 1 , wherein said animated text message is operable to express varying levels of emphasis. | 0.884826 |
9,892,201 | 10 | 16 | 10. A method executable by computer hardware for digitally deriving a classification for a candidate document retrieved in response to a search query submitted to an online search engine, the method comprising: calculating a hub score for an adult hub, wherein the adult hub is connected to a plurality of adult documents; calculating a document score for the candidate document, the document score comprising a hub distance score measuring a hop distance between the candidate document and the adult hub, the hop distance corresponding to a total number of hops between the candidate document and the adult hub, and each hop corresponding to a direct connection between two Web documents; classifying the candidate document as adult based on inputs comprising the document score of the candidate document and the hub score; calculating at least one synthetic score for each of a plurality of document groups associated with a plurality of documents, each synthetic score comprising an aggregation of a plurality of document scores, the classifying the candidate document as adult being further based on inputs comprising the at least one synthetic score; and if the candidate document is classified as adult, removing the candidate document from responses to a search query provided to the search engine. | 10. A method executable by computer hardware for digitally deriving a classification for a candidate document retrieved in response to a search query submitted to an online search engine, the method comprising: calculating a hub score for an adult hub, wherein the adult hub is connected to a plurality of adult documents; calculating a document score for the candidate document, the document score comprising a hub distance score measuring a hop distance between the candidate document and the adult hub, the hop distance corresponding to a total number of hops between the candidate document and the adult hub, and each hop corresponding to a direct connection between two Web documents; classifying the candidate document as adult based on inputs comprising the document score of the candidate document and the hub score; calculating at least one synthetic score for each of a plurality of document groups associated with a plurality of documents, each synthetic score comprising an aggregation of a plurality of document scores, the classifying the candidate document as adult being further based on inputs comprising the at least one synthetic score; and if the candidate document is classified as adult, removing the candidate document from responses to a search query provided to the search engine. 16. The method of claim 10 , the classifying the candidate document as adult comprising: calculating classifier scores corresponding to the candidate document, a container to which the candidate document belongs, and a domain to which the candidate document belongs; aggregating the classifier scores; and processing the aggregated classifier scores and the hub distance score using an algorithm to derive a status of the candidate document. | 0.76911 |
8,458,596 | 17 | 22 | 17. A non-transitory computer-readable medium comprising instructions for execution by a computer, the instructions including a computer-implemented method for providing a mashup dashboard, the instructions for implementing: creating a mashup dashboard, including providing, via a display interface, a listing of pre-defined mashups and a canvas, the pre-defined mashups being stored in a repository, interacting with the user, via the display interface and a user input device interface, to define a visual configuration of the canvas and to drag and drop one of the pre-defined mashups from the listing onto the canvas, and storing, in the repository, the visual configuration of the canvas with the pre-defined mashup as a mashup dashboard, for later retrieval to recreate the visual configuration with the pre-defined mashup executing therein; and using the mashup dashboard, including retrieving the mashup dashboard from the repository; providing, via the display interface, a display of the retrieved mashup dashboard that recreates a visual configuration pre-defined in the stored mashup dashboard, the visual configuration including a pre-defined mashup executing therein to provide live data from the mashup, wherein the visual configuration includes first and second pre-defined mashups executing therein to provide the live data, the instructions for using the mashup dashboard include: providing the live data from the first pre-defined mashup to the second pre-defined mashup which maps the live data of the first pre-defined mashup into different live data and visuals of the second pre-defined mashup as both are executing in the visual configuration, the instructions for creating the mashup dashboard include: interacting with the user via the display interface and the user input device interface to specify how the second pre-defined mashup maps the live data from the first pre-defined mashup into the different live data and visuals of the second pre-defined mashup. | 17. A non-transitory computer-readable medium comprising instructions for execution by a computer, the instructions including a computer-implemented method for providing a mashup dashboard, the instructions for implementing: creating a mashup dashboard, including providing, via a display interface, a listing of pre-defined mashups and a canvas, the pre-defined mashups being stored in a repository, interacting with the user, via the display interface and a user input device interface, to define a visual configuration of the canvas and to drag and drop one of the pre-defined mashups from the listing onto the canvas, and storing, in the repository, the visual configuration of the canvas with the pre-defined mashup as a mashup dashboard, for later retrieval to recreate the visual configuration with the pre-defined mashup executing therein; and using the mashup dashboard, including retrieving the mashup dashboard from the repository; providing, via the display interface, a display of the retrieved mashup dashboard that recreates a visual configuration pre-defined in the stored mashup dashboard, the visual configuration including a pre-defined mashup executing therein to provide live data from the mashup, wherein the visual configuration includes first and second pre-defined mashups executing therein to provide the live data, the instructions for using the mashup dashboard include: providing the live data from the first pre-defined mashup to the second pre-defined mashup which maps the live data of the first pre-defined mashup into different live data and visuals of the second pre-defined mashup as both are executing in the visual configuration, the instructions for creating the mashup dashboard include: interacting with the user via the display interface and the user input device interface to specify how the second pre-defined mashup maps the live data from the first pre-defined mashup into the different live data and visuals of the second pre-defined mashup. 22. The computer-readable medium of claim 17 , further comprising saving a state of the mashup dashboard as a workspace app, and sharing the workspace app with other users of the dashboard by which the other users recreate a same visualized instance of the dashboard. | 0.559406 |
8,024,327 | 30 | 51 | 30. A system for information processing, the system comprising: at least one processor operatively connected to a memory adapted to execute system components, and wherein the system further comprises: an access component adapted to access a set of documents obtained from an information retrieval system, wherein the access component is further configured to establish, automatically, at least one identifying characteristic within the set of documents; an analysis component adapted to obtain a statistical distribution based on values associated with the set of documents, the set of documents having a given size; a measurement component adapted to compute value of a function that measures distinctiveness of the obtained statistical distribution relative to a baseline statistical distribution of values associated with a baseline set of documents; a normalization component adapted to normalize the value relative to a distribution of values of the function that measures distinctiveness over a space of document sets, wherein a respective value of the function that measures distinctiveness corresponds to a respective document set within the space of document sets, wherein each document set in the space has a size that is comparable to the given size, wherein the normalization component is further adapted to perform a computation on the value that accounts for the given size of the set of documents; and an output component adapted to generate a response derived from the normalized value. | 30. A system for information processing, the system comprising: at least one processor operatively connected to a memory adapted to execute system components, and wherein the system further comprises: an access component adapted to access a set of documents obtained from an information retrieval system, wherein the access component is further configured to establish, automatically, at least one identifying characteristic within the set of documents; an analysis component adapted to obtain a statistical distribution based on values associated with the set of documents, the set of documents having a given size; a measurement component adapted to compute value of a function that measures distinctiveness of the obtained statistical distribution relative to a baseline statistical distribution of values associated with a baseline set of documents; a normalization component adapted to normalize the value relative to a distribution of values of the function that measures distinctiveness over a space of document sets, wherein a respective value of the function that measures distinctiveness corresponds to a respective document set within the space of document sets, wherein each document set in the space has a size that is comparable to the given size, wherein the normalization component is further adapted to perform a computation on the value that accounts for the given size of the set of documents; and an output component adapted to generate a response derived from the normalized value. 51. The system according to claim 30 , wherein the set of documents comprises at least one document, wherein the at least one document further comprises a unit of storage of digital data. | 0.790359 |
8,812,321 | 1 | 13 | 1. A method comprising: recognizing, via a processor, received speech with a plurality of domain-specific speech recognizers without knowledge of a domain of the received speech, the plurality of domain-specific speech recognizers comprising two domain-specific speech recognizers from different domains and two domain-specific speech recognizers from a specific domain, wherein each domain-specific speech recognizer of the plurality of domain-specific speech recognizers recognizes the received speech, to yield respective speech recognition outputs; determining a speech recognition confidence score for each of the respective speech recognition outputs; selecting speech recognition candidates from segments of the respective speech recognition outputs based on the speech recognition confidence score for the respective speech recognition outputs; combining, via a machine-learning algorithm, the speech recognition candidates, to yield a combination of the speech recognition candidates; and generating text based on the combination. | 1. A method comprising: recognizing, via a processor, received speech with a plurality of domain-specific speech recognizers without knowledge of a domain of the received speech, the plurality of domain-specific speech recognizers comprising two domain-specific speech recognizers from different domains and two domain-specific speech recognizers from a specific domain, wherein each domain-specific speech recognizer of the plurality of domain-specific speech recognizers recognizes the received speech, to yield respective speech recognition outputs; determining a speech recognition confidence score for each of the respective speech recognition outputs; selecting speech recognition candidates from segments of the respective speech recognition outputs based on the speech recognition confidence score for the respective speech recognition outputs; combining, via a machine-learning algorithm, the speech recognition candidates, to yield a combination of the speech recognition candidates; and generating text based on the combination. 13. The method of claim 1 , further comprising: collecting statistics based on the speech recognition candidates; and training parameters associated with the domain-specific speech recognizers based on the statistics. | 0.86 |
8,019,595 | 5 | 6 | 5. Non-transitory computer storage that stores executable code that directs a computer system to perform a process that comprises: scanning a sentence to assess whether a writing problem exists in the sentence, said scanning comprising determining if at least one sign is present, the sign indicating a possible occurrence or absence of a writing problem, the sign comprising the word “it”, wherein determining if at least one sign is present comprises searching for one or more of the following signs: “it” as part of a contraction, a “to be” verb within five words of “it”, “that” “who” or “which” following the “to be” verb, “who” following the “to be” verb, “not until”, a verb immediately followed by “n't until”, “that” between “until” and the end of the sentence, “that” appearing between commas, “that” appearing immediately after “that”; identifying a past tense verb in the sentence within three words of the term “that”; and specifying an edit that changes the sentence in a way that addresses a writing problem identified from said scanning, the edit comprising an edit relating to converting the past tense verb to first person present tense and further relating to at least one of the following options: replacing “that” with “did” to create a first provisional sentence; deleting the word “not” and the word “that” and inserting “did not” in front of the present tense verb to create a second provisional sentence; and an edit relating to moving all the words that follow “that” to a position immediately before the word “until”. | 5. Non-transitory computer storage that stores executable code that directs a computer system to perform a process that comprises: scanning a sentence to assess whether a writing problem exists in the sentence, said scanning comprising determining if at least one sign is present, the sign indicating a possible occurrence or absence of a writing problem, the sign comprising the word “it”, wherein determining if at least one sign is present comprises searching for one or more of the following signs: “it” as part of a contraction, a “to be” verb within five words of “it”, “that” “who” or “which” following the “to be” verb, “who” following the “to be” verb, “not until”, a verb immediately followed by “n't until”, “that” between “until” and the end of the sentence, “that” appearing between commas, “that” appearing immediately after “that”; identifying a past tense verb in the sentence within three words of the term “that”; and specifying an edit that changes the sentence in a way that addresses a writing problem identified from said scanning, the edit comprising an edit relating to converting the past tense verb to first person present tense and further relating to at least one of the following options: replacing “that” with “did” to create a first provisional sentence; deleting the word “not” and the word “that” and inserting “did not” in front of the present tense verb to create a second provisional sentence; and an edit relating to moving all the words that follow “that” to a position immediately before the word “until”. 6. The non-transitory computer storage of claim 5 , wherein the executable code is additionally capable of directing the computer system to suggest the edit to a user. | 0.720736 |
8,645,141 | 6 | 8 | 6. A system comprising: a processor; a display coupled to said processor; an input device coupled to said processor; an audio output device coupled to said processor; memory coupled to said processor, wherein said memory comprises instructions that when executed cause said system to perform text to speech conversion, said method comprising: prior to a user selection to play an audible version of a portion of text, predictively identifying the portion of text for conversion to speech format, wherein said identifying comprises performing a prediction based on information associated with a user's prior reading of at least one prior-read book and based on the portion of text being newly released for access, the prior-read book being different from the portion of text being newly released for access; performing a text to speech conversion on said portion of text to produce converted speech; storing said converted speech into a memory device of said portable device; executing a reader application wherein a user request is received for narration of said portion of text; and during said executing, accessing said converted speech from said memory device and rendering said converted speech on said audio output device responsive to said user request. | 6. A system comprising: a processor; a display coupled to said processor; an input device coupled to said processor; an audio output device coupled to said processor; memory coupled to said processor, wherein said memory comprises instructions that when executed cause said system to perform text to speech conversion, said method comprising: prior to a user selection to play an audible version of a portion of text, predictively identifying the portion of text for conversion to speech format, wherein said identifying comprises performing a prediction based on information associated with a user's prior reading of at least one prior-read book and based on the portion of text being newly released for access, the prior-read book being different from the portion of text being newly released for access; performing a text to speech conversion on said portion of text to produce converted speech; storing said converted speech into a memory device of said portable device; executing a reader application wherein a user request is received for narration of said portion of text; and during said executing, accessing said converted speech from said memory device and rendering said converted speech on said audio output device responsive to said user request. 8. The system of claim 6 wherein said information comprises identifications of newly added books and wherein said portion of text is taken from said newly added books. | 0.5825 |
5,461,399 | 1 | 2 | 1. A method in a data processing system for enabling a visually impaired user to distinctly visualize individual displayed objects within multiple classes of objects displayed within a graphical user interface environment, said data processing system having a display pointing device associated with a moveable cursor element, a user input device, and an audio output device, said method comprising the steps of: associating an audio signal having at least two audible characteristics with each object within a class of objects displayed within said graphical user interface environment, wherein a first of said at least two audible characteristics is common among all objects within a class of objects and unique among all of said multiple classes of objects within said graphical user interface environment, and a second of said at least two audible characteristics is unique among all objects within a class of objects; and generating a composite audible signal which includes elements of each audio signal associated with each of said objects displayed within said graphical user interface environment, wherein a user may determine how many classes of objects are displayed, and how many objects are displayed within each of said multiple classes of objects within said graphical user interface environment. | 1. A method in a data processing system for enabling a visually impaired user to distinctly visualize individual displayed objects within multiple classes of objects displayed within a graphical user interface environment, said data processing system having a display pointing device associated with a moveable cursor element, a user input device, and an audio output device, said method comprising the steps of: associating an audio signal having at least two audible characteristics with each object within a class of objects displayed within said graphical user interface environment, wherein a first of said at least two audible characteristics is common among all objects within a class of objects and unique among all of said multiple classes of objects within said graphical user interface environment, and a second of said at least two audible characteristics is unique among all objects within a class of objects; and generating a composite audible signal which includes elements of each audio signal associated with each of said objects displayed within said graphical user interface environment, wherein a user may determine how many classes of objects are displayed, and how many objects are displayed within each of said multiple classes of objects within said graphical user interface environment. 2. A method according to claim 1 wherein said first of said at least two audible characteristics comprises a timbre, and said second of said at least two audible characteristics comprises a pitch. | 0.820183 |
9,177,530 | 19 | 21 | 19. A system for displaying an electronic document, the system comprising: a handheld device operated by a user and configured to render a current page of an electronic document on a screen of the handheld device; a display server configured to render an adjacent page of the electronic document on a display external to the handheld device, wherein the adjacent page is adjacent to the current page within the electronic document; and a reading device configured to receive the electronic document and provide the current page to the handheld device and the adjacent page to the display server. | 19. A system for displaying an electronic document, the system comprising: a handheld device operated by a user and configured to render a current page of an electronic document on a screen of the handheld device; a display server configured to render an adjacent page of the electronic document on a display external to the handheld device, wherein the adjacent page is adjacent to the current page within the electronic document; and a reading device configured to receive the electronic document and provide the current page to the handheld device and the adjacent page to the display server. 21. The system of claim 19 , wherein the reading device is the display server. | 0.821918 |
8,862,595 | 15 | 16 | 15. The computer storage medium of claim 13 , where the providing includes translating the determined search results into the source language. | 15. The computer storage medium of claim 13 , where the providing includes translating the determined search results into the source language. 16. The computer storage medium of claim 15 , further comprising instructions to perform operations comprising: selectively providing an original language search result for presentation corresponding to a provided translated search result, where the original language search result is provided for presentation below the translated search result, and where original language search results are provided independently according to user selection. | 0.833831 |
9,760,642 | 1 | 7 | 1. A computer system comprising a reduction server in a processor unit comprising: a context-entity factory configured to: build a data model defining an ontology of data objects that are context-aware; text mine activity patterns on a first body of data comprising open-source unstructured text; and constraint-based mine activity patterns on a second body of data drawn from multiple heterogeneous sources, such that the data model further defines metadata tags for the data objects, and the reduction server communicates with a storage device configured to store the data objects as stored data objects, the storage device further configured to store associated contexts for corresponding ones of the stored data objects; and a reduction component configured to: employ at least one information mashup application configured to access a spatial-temporal query engine to generate an output of contextual relationships of multiple spatial data and temporal data objects; capture a current context value of a first data object defined in the ontology of data objects; and compare the current context value of the first data object with stored values of the associated contexts, such that when the current context value does not match a particular stored value of a particular associated context in the associated contexts, the reduction component is further configured to remove a corresponding particular stored data object and the particular associated context from the stored data objects. | 1. A computer system comprising a reduction server in a processor unit comprising: a context-entity factory configured to: build a data model defining an ontology of data objects that are context-aware; text mine activity patterns on a first body of data comprising open-source unstructured text; and constraint-based mine activity patterns on a second body of data drawn from multiple heterogeneous sources, such that the data model further defines metadata tags for the data objects, and the reduction server communicates with a storage device configured to store the data objects as stored data objects, the storage device further configured to store associated contexts for corresponding ones of the stored data objects; and a reduction component configured to: employ at least one information mashup application configured to access a spatial-temporal query engine to generate an output of contextual relationships of multiple spatial data and temporal data objects; capture a current context value of a first data object defined in the ontology of data objects; and compare the current context value of the first data object with stored values of the associated contexts, such that when the current context value does not match a particular stored value of a particular associated context in the associated contexts, the reduction component is further configured to remove a corresponding particular stored data object and the particular associated context from the stored data objects. 7. The computer system of claim 1 , wherein the reduction component is further configured to employ at least one information mashup application to yield a reduced number of data objects relative to a beginning number of data objects, and wherein the computer system further comprises: a query component configured to query the reduced number of data objects. | 0.501393 |
4,433,373 | 1 | 3 | 1. In a programmable, numerically path controlled processing device of the type comprising a multiple axis controller for controlling the processing device along at least two axes; a display unit coupled to the controller; means, included in the controller, for displaying on the display unit a first set of dialog texts suitable for multiple axis path programming; and a keyboard input unit comprising input key means for the entry of digital programming data to the controller, the improvement comprising: means, included in the controller, for displaying on the display unit a second, abbreviated set of dialog texts, simpler than the first set of dialog texts, each of said second set of dialog texts suitable for single axis, axially parallel interval programming of paths parallel to a respective one of the at least two axes, but unsuitable for multiple axis path programming; and means for selectively activating a selected one of the means for displaying the first set of dialog texts and the means for displaying the second set of dialog texts. | 1. In a programmable, numerically path controlled processing device of the type comprising a multiple axis controller for controlling the processing device along at least two axes; a display unit coupled to the controller; means, included in the controller, for displaying on the display unit a first set of dialog texts suitable for multiple axis path programming; and a keyboard input unit comprising input key means for the entry of digital programming data to the controller, the improvement comprising: means, included in the controller, for displaying on the display unit a second, abbreviated set of dialog texts, simpler than the first set of dialog texts, each of said second set of dialog texts suitable for single axis, axially parallel interval programming of paths parallel to a respective one of the at least two axes, but unsuitable for multiple axis path programming; and means for selectively activating a selected one of the means for displaying the first set of dialog texts and the means for displaying the second set of dialog texts. 3. The invention of claim 1 further comprising means for providing a simplified tool radius correction suitable for tool radius correction in axially parallel interval programming. | 0.883571 |
9,489,350 | 13 | 15 | 13. A computer program product for comparing content overlap between a first electronic document and a second electronic document, the computer program product comprising a non-transitory computer readable medium storing computer readable program code, the computer readable program code comprising: a set of instructions for receiving a search request from a user for documents containing one or more keywords; a set of instructions for accessing an electronic database and presenting to the user a first list of one or more documents in the electronic database based on the one or more keywords, the first list of one or more documents including a first hyperlink for the first electronic document; a set of instructions for receiving a request for the first electronic document via the first hyperlink; a set of instructions for determining, in response to the request for the first electronic document, a second list of documents in the electronic database that are similar to the first electronic document, the second list of documents including the second electronic document, and the set of instructions for determining comprising: a set of instructions for parsing a text of each of the first and second documents into constituent units; a set of instructions for computing a digest of each of the first and second documents based on the constituent units; a set of instructions for comparing the computed digests; a set of instructions for computing a proportion of common contents between the first and second documents and a proportion of distinct contents between the first and second documents based on the comparison; and a set of instructions for determining a date associated with the first document and a date associated with the second document, and a set of instructions for determining a direction of borrowing based on the determined dates; and a set of instructions for displaying to the user the contents of the first electronic document and a hyperlink to the second electronic document and a graphic indicating the direction of borrowing between the first and second documents, wherein the indication of borrowing direction between the first document and the second document is displayed as an arrow oriented to point in the borrowing direction showing a computed direction of flow of the information from a donor document to a borrower document, and wherein the graphic comprises a measure of relationship overlap between the first document and at least one of the second document and a selected portion of the second document. | 13. A computer program product for comparing content overlap between a first electronic document and a second electronic document, the computer program product comprising a non-transitory computer readable medium storing computer readable program code, the computer readable program code comprising: a set of instructions for receiving a search request from a user for documents containing one or more keywords; a set of instructions for accessing an electronic database and presenting to the user a first list of one or more documents in the electronic database based on the one or more keywords, the first list of one or more documents including a first hyperlink for the first electronic document; a set of instructions for receiving a request for the first electronic document via the first hyperlink; a set of instructions for determining, in response to the request for the first electronic document, a second list of documents in the electronic database that are similar to the first electronic document, the second list of documents including the second electronic document, and the set of instructions for determining comprising: a set of instructions for parsing a text of each of the first and second documents into constituent units; a set of instructions for computing a digest of each of the first and second documents based on the constituent units; a set of instructions for comparing the computed digests; a set of instructions for computing a proportion of common contents between the first and second documents and a proportion of distinct contents between the first and second documents based on the comparison; and a set of instructions for determining a date associated with the first document and a date associated with the second document, and a set of instructions for determining a direction of borrowing based on the determined dates; and a set of instructions for displaying to the user the contents of the first electronic document and a hyperlink to the second electronic document and a graphic indicating the direction of borrowing between the first and second documents, wherein the indication of borrowing direction between the first document and the second document is displayed as an arrow oriented to point in the borrowing direction showing a computed direction of flow of the information from a donor document to a borrower document, and wherein the graphic comprises a measure of relationship overlap between the first document and at least one of the second document and a selected portion of the second document. 15. The computer program product of claim 13 , wherein the computer readable program code further comprises a set of instructions for creating a graphic to indicate the proportion of common contents, the proportion of distinct contents, a length of the first document, and a length of the second document. | 0.803226 |
9,141,355 | 6 | 14 | 6. In a computing environment, a method for processing input received from a user that includes different types, the method comprising: receiving generalized input from a user via a user interface, the generalized input including mixed types of input including a graphical type input, the generalized input including a first input having a first type and a second input having a second type different from the first type; parsing the generalized input directly to form a binary representation of the generalized input to identify at least one function and at least one object associated with the function, wherein the at least one object includes a symbol, displaying the generalized input in a graphical form on a display without converting any of the generalized input to another type of input; evaluating the generalized input by parsing the generalized input as received via the user interface, wherein different types of input included in the generalized input are evaluated without converting one type of the generalized input to another type of the generalized input, wherein the second input is evaluated in the context of the first input; generating output based on the evaluation of the parsed generalized input; and displaying the output to the user. | 6. In a computing environment, a method for processing input received from a user that includes different types, the method comprising: receiving generalized input from a user via a user interface, the generalized input including mixed types of input including a graphical type input, the generalized input including a first input having a first type and a second input having a second type different from the first type; parsing the generalized input directly to form a binary representation of the generalized input to identify at least one function and at least one object associated with the function, wherein the at least one object includes a symbol, displaying the generalized input in a graphical form on a display without converting any of the generalized input to another type of input; evaluating the generalized input by parsing the generalized input as received via the user interface, wherein different types of input included in the generalized input are evaluated without converting one type of the generalized input to another type of the generalized input, wherein the second input is evaluated in the context of the first input; generating output based on the evaluation of the parsed generalized input; and displaying the output to the user. 14. The method of claim 6 , wherein the output is identical to at least a portion of the generalized input when evaluated in context. | 0.767483 |
9,218,408 | 10 | 18 | 10. A system for creating a data mart in a business intelligence server environment on a computer including one or more microprocessors, said system comprising: a plurality of data sources that maintain data within an enterprise, said plurality of data sources including at least a relational database and a multidimensional database; a business intelligence server, executing on the computer, that provides a virtual logical semantic model, wherein the virtual logical semantic model is a presentation layer to a user and is logically mapped to a plurality of physical models, each said physical model representing entities in a said data source, wherein the business intelligence server receives a specification of a list of levels and a selection of a said data source for storing aggregated data by using the virtual logical semantic model, wherein the plurality of levels spans data from at least two of said plurality of data sources, wherein said levels are identified by analyzing runtimes of queries on the two or more said data sources, wherein at least one said query reduces runtimes thereof by aggregating the data at said levels; an aggregate matrix, created with the virtual semantic model, which includes the plurality of levels, wherein the aggregate matrix is operable to perform data aggregation only at said levels by creating for each said level, in the said data source, a single aggregate table that contains columns at the each said level and at higher levels in a dimension hierarchy, and creating for each fact table a single aggregate table that includes columns corresponding to primary keys at the each said level; wherein the business intelligence server generates a multidimensional cube that contains the aggregated data in the aggregate tables, and stores the multidimensional cube in the said data source. | 10. A system for creating a data mart in a business intelligence server environment on a computer including one or more microprocessors, said system comprising: a plurality of data sources that maintain data within an enterprise, said plurality of data sources including at least a relational database and a multidimensional database; a business intelligence server, executing on the computer, that provides a virtual logical semantic model, wherein the virtual logical semantic model is a presentation layer to a user and is logically mapped to a plurality of physical models, each said physical model representing entities in a said data source, wherein the business intelligence server receives a specification of a list of levels and a selection of a said data source for storing aggregated data by using the virtual logical semantic model, wherein the plurality of levels spans data from at least two of said plurality of data sources, wherein said levels are identified by analyzing runtimes of queries on the two or more said data sources, wherein at least one said query reduces runtimes thereof by aggregating the data at said levels; an aggregate matrix, created with the virtual semantic model, which includes the plurality of levels, wherein the aggregate matrix is operable to perform data aggregation only at said levels by creating for each said level, in the said data source, a single aggregate table that contains columns at the each said level and at higher levels in a dimension hierarchy, and creating for each fact table a single aggregate table that includes columns corresponding to primary keys at the each said level; wherein the business intelligence server generates a multidimensional cube that contains the aggregated data in the aggregate tables, and stores the multidimensional cube in the said data source. 18. The system of claim 10 , wherein the business intelligence server creates complex joins between the cube and the aggregate matrix within a physical metadata layer in the business intelligence server. | 0.502451 |
10,089,393 | 1 | 4 | 1. A method, comprising: determining, by one or more data processing apparatus and for a prefix that represents a portion of a search query, one or more completions that yield a completed search query when combined with the prefix, wherein the one or more completions includes a given completion that describes a question; receiving, through a search engine input field presented at a user device, user input including the prefix; identifying, by one or more data processing apparatus and based on the user input, an answer box for the one or more completions, wherein the answer box includes an answer to the question described by the given completion that is included in the one or more completions; and providing, by one or more data processing apparatus and prior to a completed search query being specified by the user input, instructions that cause the answer box to be presented in a display of the user device along with at least some of the one or more completions for which the answer box was identified and the answer to the question described by the given completion, wherein the answer box is a user interface element that presents the one or more completions and the answer to the question described by the given completion while a user enters text input through the search engine input field and before the user submits a search request for the user input. | 1. A method, comprising: determining, by one or more data processing apparatus and for a prefix that represents a portion of a search query, one or more completions that yield a completed search query when combined with the prefix, wherein the one or more completions includes a given completion that describes a question; receiving, through a search engine input field presented at a user device, user input including the prefix; identifying, by one or more data processing apparatus and based on the user input, an answer box for the one or more completions, wherein the answer box includes an answer to the question described by the given completion that is included in the one or more completions; and providing, by one or more data processing apparatus and prior to a completed search query being specified by the user input, instructions that cause the answer box to be presented in a display of the user device along with at least some of the one or more completions for which the answer box was identified and the answer to the question described by the given completion, wherein the answer box is a user interface element that presents the one or more completions and the answer to the question described by the given completion while a user enters text input through the search engine input field and before the user submits a search request for the user input. 4. The method of claim 1 , wherein determining one or more completions that yield a completed search query when combined with the prefix comprises determining a likelihood that a particular one of the one or more completions is being input based, at least in part, on the prefix. | 0.674065 |
8,589,373 | 1 | 5 | 1. A method for an improved News Meta-Search over a large number of Online news sources on the Internet or similar networks, comprising providing a meta-search system which includes at least one server, and displaying news items to a user through a browser on a computer, wherein the server performs, under software instruction from the meta-search system, at least one of the steps of: i. Switching between news items from the same cluster or sub-cluster which are displayed in a given position in an automatically generated newspaper page, wherein said switching is done automatically or with user intervention; and ii. Switching between news images from the same cluster or sub-cluster which are displayed in a given position in an automatically generated newspaper page, wherein said switching is done automatically or with user intervention, and wherein said images are at least one of still images and streaming data; wherein at least one of the following features exists: a. Recursive sub-clustering is performed and the recursive sub-clustering continues until there are sufficiently few items in the final sub-category or until the items are too different to group further; b. If the user searches for keywords in the News Meta Search, the results are displayed recursively in clusters and sub-cluster in a way similar to the automatically generated newspaper page; c. If the user searches for keywords in the News Meta Search, the results can have all the features that exist in the automatically generated newspaper page; d. The system enables the user to switch between a mode that displays also images and a mode without images; e. The same news item or same sub-cluster can belong to more than one cluster or sub-cluster, and thus it is shown and/or can be reached from all the sufficiently relevant clusters or sub-clusters to which it is related; f. The system enables the user to request to sort a list of related items by relevance and/or by time and date to create order between and/or within the sub-clusters, so that the system performs the sorting without interfering with the cluster structure itself; g. The system enables the user to request to sort the items by at least one of: 1. The country of the source, so that the system orders or clusters the news items in addition or instead also according to the country of the news source, 2. The level of reliability of the source, so that the system orders or clusters the news items in addition or instead also according to the reliability of the news source; h. The system enables the user to view a graphical or textual hierarchical representation which shows simultaneously the multi-level structure of clusters and sub-clusters, showing more than two levels of the hierarchy at the same time, or showing the structure down to the end-nodes; i. The Meta News system automatically chooses only images that are within a certain reasonable range of sizes; j. As additional new related news items come in, the headlines and/or the images can be automatically updated even if the user does not click on any refresh button; k. The user gets a different indication when the items or images themselves have changed or new items or images are brought in (compared to the normal swapping between items), and said indication is at least one of sound indication and visual indication of the item that has changed or the new item that has been inserted; l. The html protocol and/or the html command set is expanded to allow an image to be requested with a given size limit, so that if the original image is bigger it is either truncated automatically to fit in the allowed window, or is automatically downscaled in order to fit completely into the allowed space; m. The html protocol and/or the html command set is expanded to allow an image to be requested with a given size limit, so that if the original image is bigger it is truncated automatically to fit in the allowed window and for said truncation the improved html protocol allows the web programmer to specify for each image the x-y coordinates of its central point of interest, and/or various heuristics are used by the browser or by the server in order to find the central point of interest automatically; n. When switching images contain also streaming data, at least one of the following is done: 1. Automatic switching of images is disabled so that the user has to click on something in order to view related streaming data from a different source or other still images, and 2. Each streaming source remains in the position for a longer time than still images until switching to the next streaming source or to the next still image; o. The system determines which item to use as the main item of the general cluster by at least one of: 1. First picking the sub-cluster that has the largest number of items and/or the most recent cluster that is big enough relative to other sub-clusters, 2. Picking the item within the chosen first sub-cluster which has the highest average similarity to other items in that sub-cluster and/or belongs to the largest sub-cluster of that sub-cluster and/or is most relevant within the cluster or within the sub-cluster and/or is most recent within the cluster or within the sub-cluster; p. When requesting News alerts, instead of being able to request only by specific keywords, the system enables the user to also at least one of: 1. Mark a cluster or a specific sub-cluster, so that he/she is notified automatically on any new items that belong to that cluster or after sufficient changes have accumulated in the cluster, 2. Use semantic qualifiers, 3. Mark words in a way that indicates that synonyms should also be checked for these words, so that he/she will be notified also about items that contain synonyms of these marked words; and wherein at least one of the following features exists: q. In order to improve the clustering ability, the time the items were published is taken into account, with the assumption that the closer the time of publication between them, the higher the chance that two items are dealing with the same event; r. Temporal words or phrases used in the news item are used to decide when the event occurred, and this time is used to separate between news items that occurred before this time and items that occurred after this time and/or to help decide the similarity between items that might be referring to the same event; s. Temporal words or phrases used in the news item are used to decide when the event occurred, and in order to analyze the temporal phrases used in the item, the system is able to perform also at least some minimal type of semantic analysis and/or has at least knowledge of the relevant temporal nouns and relevant verbs; and t. When sorting automatically generated news clusters the number of items in each cluster is normalized by the time factor, since clusters that have exited for a longer time would normally have more items than a newer cluster even if the new cluster is more important. | 1. A method for an improved News Meta-Search over a large number of Online news sources on the Internet or similar networks, comprising providing a meta-search system which includes at least one server, and displaying news items to a user through a browser on a computer, wherein the server performs, under software instruction from the meta-search system, at least one of the steps of: i. Switching between news items from the same cluster or sub-cluster which are displayed in a given position in an automatically generated newspaper page, wherein said switching is done automatically or with user intervention; and ii. Switching between news images from the same cluster or sub-cluster which are displayed in a given position in an automatically generated newspaper page, wherein said switching is done automatically or with user intervention, and wherein said images are at least one of still images and streaming data; wherein at least one of the following features exists: a. Recursive sub-clustering is performed and the recursive sub-clustering continues until there are sufficiently few items in the final sub-category or until the items are too different to group further; b. If the user searches for keywords in the News Meta Search, the results are displayed recursively in clusters and sub-cluster in a way similar to the automatically generated newspaper page; c. If the user searches for keywords in the News Meta Search, the results can have all the features that exist in the automatically generated newspaper page; d. The system enables the user to switch between a mode that displays also images and a mode without images; e. The same news item or same sub-cluster can belong to more than one cluster or sub-cluster, and thus it is shown and/or can be reached from all the sufficiently relevant clusters or sub-clusters to which it is related; f. The system enables the user to request to sort a list of related items by relevance and/or by time and date to create order between and/or within the sub-clusters, so that the system performs the sorting without interfering with the cluster structure itself; g. The system enables the user to request to sort the items by at least one of: 1. The country of the source, so that the system orders or clusters the news items in addition or instead also according to the country of the news source, 2. The level of reliability of the source, so that the system orders or clusters the news items in addition or instead also according to the reliability of the news source; h. The system enables the user to view a graphical or textual hierarchical representation which shows simultaneously the multi-level structure of clusters and sub-clusters, showing more than two levels of the hierarchy at the same time, or showing the structure down to the end-nodes; i. The Meta News system automatically chooses only images that are within a certain reasonable range of sizes; j. As additional new related news items come in, the headlines and/or the images can be automatically updated even if the user does not click on any refresh button; k. The user gets a different indication when the items or images themselves have changed or new items or images are brought in (compared to the normal swapping between items), and said indication is at least one of sound indication and visual indication of the item that has changed or the new item that has been inserted; l. The html protocol and/or the html command set is expanded to allow an image to be requested with a given size limit, so that if the original image is bigger it is either truncated automatically to fit in the allowed window, or is automatically downscaled in order to fit completely into the allowed space; m. The html protocol and/or the html command set is expanded to allow an image to be requested with a given size limit, so that if the original image is bigger it is truncated automatically to fit in the allowed window and for said truncation the improved html protocol allows the web programmer to specify for each image the x-y coordinates of its central point of interest, and/or various heuristics are used by the browser or by the server in order to find the central point of interest automatically; n. When switching images contain also streaming data, at least one of the following is done: 1. Automatic switching of images is disabled so that the user has to click on something in order to view related streaming data from a different source or other still images, and 2. Each streaming source remains in the position for a longer time than still images until switching to the next streaming source or to the next still image; o. The system determines which item to use as the main item of the general cluster by at least one of: 1. First picking the sub-cluster that has the largest number of items and/or the most recent cluster that is big enough relative to other sub-clusters, 2. Picking the item within the chosen first sub-cluster which has the highest average similarity to other items in that sub-cluster and/or belongs to the largest sub-cluster of that sub-cluster and/or is most relevant within the cluster or within the sub-cluster and/or is most recent within the cluster or within the sub-cluster; p. When requesting News alerts, instead of being able to request only by specific keywords, the system enables the user to also at least one of: 1. Mark a cluster or a specific sub-cluster, so that he/she is notified automatically on any new items that belong to that cluster or after sufficient changes have accumulated in the cluster, 2. Use semantic qualifiers, 3. Mark words in a way that indicates that synonyms should also be checked for these words, so that he/she will be notified also about items that contain synonyms of these marked words; and wherein at least one of the following features exists: q. In order to improve the clustering ability, the time the items were published is taken into account, with the assumption that the closer the time of publication between them, the higher the chance that two items are dealing with the same event; r. Temporal words or phrases used in the news item are used to decide when the event occurred, and this time is used to separate between news items that occurred before this time and items that occurred after this time and/or to help decide the similarity between items that might be referring to the same event; s. Temporal words or phrases used in the news item are used to decide when the event occurred, and in order to analyze the temporal phrases used in the item, the system is able to perform also at least some minimal type of semantic analysis and/or has at least knowledge of the relevant temporal nouns and relevant verbs; and t. When sorting automatically generated news clusters the number of items in each cluster is normalized by the time factor, since clusters that have exited for a longer time would normally have more items than a newer cluster even if the new cluster is more important. 5. The method of claim 1 wherein the system has at least one of: a. A knowledge base of at least one of: country names, city names, and other geographical areas; b. A knowledge base of at least the most common or most important verbs that typically appear in headlines and/or in the first one or two sentences of news items and/or in entire news items; c. A knowledge base of verbs that uses semantic trees and/or semantic graphs and/or various rules, so that each verb can be characterized by scores on a number of relevant variables or dimensions; d. A database of synonyms for the comparisons of nouns and/or of verbs, so that the system can know if two words are different or similar even without “understanding” their meaning; e. A knowledge base of major known political names and organizations; f. The ability to take into account also similarity in words at least in the headlines, even if they are not exactly identical. | 0.782537 |
9,600,478 | 9 | 13 | 9. The display control apparatus according to claim 8 , wherein the display control unit is configured to display representative contents of each cluster before other contents of the corresponding cluster. | 9. The display control apparatus according to claim 8 , wherein the display control unit is configured to display representative contents of each cluster before other contents of the corresponding cluster. 13. The display control apparatus according to claim 9 , wherein the display control unit is configured to: insert the other contents of the corresponding cluster between the representative contents of each cluster, and display the other contents of the corresponding cluster. | 0.849837 |
9,398,460 | 39 | 40 | 39. A mobile phone-based method for providing security escorts to a requester for a location, time, and duration by a security escort provider, the method comprising: a. receiving request data from at least one requester's mobile phone for at least one engagement in at least one location; b. creating a record in a database for each requester request; c. collecting request factor data relevant to at least one engagement in at least one location; d. creating at least one record in the database for request factor data; e. requesting availability from at least one security escort for at least one engagement in at least one location based request factor data; f. calculating cost information for the engagement based on data from g. providing requester with confirmation of escort availability for engagement and other factors; h. request factors; i. receiving payment from requester for at least one engagement in at least one location; j. transmitting authentication and confirmation information to mobile phone of the requester and the security escort; k. rendezvousing requester at the location with the security escort; l. exchanging authentications to verify the identity of requester and escort; m. providing the security service as requested by the requester in at least one location; n. completing the security escort's engagement; o. notifying the security escort's provider of the engagement termination making security escort available for new engagement; p. paying security escort for at least one engagement in at least one location based on request factors; q. creating at least one record in the database for review data; whereby a requester can request tailored security escorts for an engagement in a location, date, and time based on request factors wherein the cost is determined by the applicable adjustment factors. | 39. A mobile phone-based method for providing security escorts to a requester for a location, time, and duration by a security escort provider, the method comprising: a. receiving request data from at least one requester's mobile phone for at least one engagement in at least one location; b. creating a record in a database for each requester request; c. collecting request factor data relevant to at least one engagement in at least one location; d. creating at least one record in the database for request factor data; e. requesting availability from at least one security escort for at least one engagement in at least one location based request factor data; f. calculating cost information for the engagement based on data from g. providing requester with confirmation of escort availability for engagement and other factors; h. request factors; i. receiving payment from requester for at least one engagement in at least one location; j. transmitting authentication and confirmation information to mobile phone of the requester and the security escort; k. rendezvousing requester at the location with the security escort; l. exchanging authentications to verify the identity of requester and escort; m. providing the security service as requested by the requester in at least one location; n. completing the security escort's engagement; o. notifying the security escort's provider of the engagement termination making security escort available for new engagement; p. paying security escort for at least one engagement in at least one location based on request factors; q. creating at least one record in the database for review data; whereby a requester can request tailored security escorts for an engagement in a location, date, and time based on request factors wherein the cost is determined by the applicable adjustment factors. 40. The system of claim 39 , where requester may make multiple requests differentiated by timing. | 0.940049 |
9,002,696 | 16 | 22 | 16. A computer-readable storage device having computer-readable program instructions stored on the computer-readable storage device, wherein the computer-readable program instructions are executed by a CPU to translate a natural-language text document, wherein the computer-readable program instructions comprise: computer-readable program instructions for receiving the natural-language text document for translation; computer-readable program instructions for dividing each of a plurality of sentences in the document into a plurality of portions based on a set of rules that specify how to divide up each of the plurality of sentences based on content of the plurality of sentences, and avoiding disclosure of any of the plurality of sentences in its entirety to a same human translator; computer-readable program instructions for translating a first portion of the portions of each of the plurality of sentences to form an initially translated first portion, using a translation engine; computer-readable program instructions for sending the portions of each of the plurality of sentences to a plurality of respective, human translators, for correction and translation, wherein none of the plurality of human translators is sent any of the plurality of sentences in its entirety for translation, wherein the computer-readable program instructions for sending the portions of each of the plurality of sentences to the plurality of respective, human translators, include computer-readable program instructions for sending the initially translated first portion along with the first portion; and computer-readable program instructions for combining the translations for the respective portions to form consolidated translations for each of the plurality of sentences in response to receiving translations from the plurality of human translators for respective portions of each of the plurality of sentences, and updating at least one model used by the translation engine based on corrections made by the human translators. | 16. A computer-readable storage device having computer-readable program instructions stored on the computer-readable storage device, wherein the computer-readable program instructions are executed by a CPU to translate a natural-language text document, wherein the computer-readable program instructions comprise: computer-readable program instructions for receiving the natural-language text document for translation; computer-readable program instructions for dividing each of a plurality of sentences in the document into a plurality of portions based on a set of rules that specify how to divide up each of the plurality of sentences based on content of the plurality of sentences, and avoiding disclosure of any of the plurality of sentences in its entirety to a same human translator; computer-readable program instructions for translating a first portion of the portions of each of the plurality of sentences to form an initially translated first portion, using a translation engine; computer-readable program instructions for sending the portions of each of the plurality of sentences to a plurality of respective, human translators, for correction and translation, wherein none of the plurality of human translators is sent any of the plurality of sentences in its entirety for translation, wherein the computer-readable program instructions for sending the portions of each of the plurality of sentences to the plurality of respective, human translators, include computer-readable program instructions for sending the initially translated first portion along with the first portion; and computer-readable program instructions for combining the translations for the respective portions to form consolidated translations for each of the plurality of sentences in response to receiving translations from the plurality of human translators for respective portions of each of the plurality of sentences, and updating at least one model used by the translation engine based on corrections made by the human translators. 22. The computer-readable storage device of claim 16 , wherein the natural-language text document is encrypted and comprises at least one of text, voice, an audio recording, a document, and video. | 0.821494 |
7,756,915 | 1 | 20 | 1. A digital music library builder comprising: a receiver to receive broadcast audio from a first broadcast station, and to receive a broadcast image from a second broadcast station; a song extractor, coupled to the receiver, to extract a song from the received broadcast audio, comprising an audio parser to mark the start and end of a song within the received broadcast audio; a meta-data generator, coupled to the receiver, to identify meta-data for the extracted song from the received broadcast image, comprising a luminance extractor to remove color burst noise from the received broadcast image; and a memory, coupled to the song extractor and the meta-data generator, wherein a memory manager automatically stores the extracted song in a digital music library in the memory and automatically associates the identified meta-data with the stored song, within the digital music library. | 1. A digital music library builder comprising: a receiver to receive broadcast audio from a first broadcast station, and to receive a broadcast image from a second broadcast station; a song extractor, coupled to the receiver, to extract a song from the received broadcast audio, comprising an audio parser to mark the start and end of a song within the received broadcast audio; a meta-data generator, coupled to the receiver, to identify meta-data for the extracted song from the received broadcast image, comprising a luminance extractor to remove color burst noise from the received broadcast image; and a memory, coupled to the song extractor and the meta-data generator, wherein a memory manager automatically stores the extracted song in a digital music library in the memory and automatically associates the identified meta-data with the stored song, within the digital music library. 20. The digital music library builder of claim 1 wherein the first and second broadcast stations are different broadcast stations. | 0.748062 |
8,706,651 | 13 | 15 | 13. The method of claim 11 , wherein: the first prediction is a prediction of a roadway traffic congestion condition and is also based at least on typical traffic congestion conditions for a current time of a day; the first prediction and the second prediction are different; and the indication represents that the event is atypical for the current time of the day. | 13. The method of claim 11 , wherein: the first prediction is a prediction of a roadway traffic congestion condition and is also based at least on typical traffic congestion conditions for a current time of a day; the first prediction and the second prediction are different; and the indication represents that the event is atypical for the current time of the day. 15. The method of claim 13 , wherein the second predictive model includes one or more statistical models that employ Bayesian networks, dynamic Bayesian networks, continuous time Bayesian networks, support vector machines, neural network models, Hidden Markov Models, Markov decision processes, and/or particle filtering. | 0.862938 |
9,703,830 | 1 | 5 | 1. A method of translating a Simple Protocol and RDF Query Language (SPARQL) query into a Structured Query Language (SQL) query, the method comprising: generating one or more graphs from the SPARQL query, wherein the one or more graphs comprise a plurality of nodes; assigning a priority to each of the plurality of nodes and generating a priority queue based on the assigned priority; selecting the node having a highest assigned priority from the priority queue; navigating the one or more graphs to traverse to one or more reached nodes of the plurality of nodes connected to the selected node, comprising: identifying data corresponding to the one or more reached nodes; for each reached node having a variable component, updating the priority of the reached node based on the identified data for the reached node; and updating an order of the plurality of nodes in the priority queue based on the updated priorities; generating an access plan element of the SQL query for the one or more reached nodes traversed and the selected node; repeating the selecting of the node having the highest assigned priority from the priority queue, the navigating of the one or more graphs to traverse to the one or more reached nodes, and the generating of the access plan element of the SQL query until the priority queue is empty; and generating an access plan for the SQL query comprising the access plan elements generated for the plurality of nodes. | 1. A method of translating a Simple Protocol and RDF Query Language (SPARQL) query into a Structured Query Language (SQL) query, the method comprising: generating one or more graphs from the SPARQL query, wherein the one or more graphs comprise a plurality of nodes; assigning a priority to each of the plurality of nodes and generating a priority queue based on the assigned priority; selecting the node having a highest assigned priority from the priority queue; navigating the one or more graphs to traverse to one or more reached nodes of the plurality of nodes connected to the selected node, comprising: identifying data corresponding to the one or more reached nodes; for each reached node having a variable component, updating the priority of the reached node based on the identified data for the reached node; and updating an order of the plurality of nodes in the priority queue based on the updated priorities; generating an access plan element of the SQL query for the one or more reached nodes traversed and the selected node; repeating the selecting of the node having the highest assigned priority from the priority queue, the navigating of the one or more graphs to traverse to the one or more reached nodes, and the generating of the access plan element of the SQL query until the priority queue is empty; and generating an access plan for the SQL query comprising the access plan elements generated for the plurality of nodes. 5. The method of claim 1 , wherein the assigning of the priority to each of the plurality of nodes comprises: determining a given node of the plurality of nodes has a constant component; determining statistics indicating a number of times the given node appears in a database; when the statistics return a low frequency for the given node, assigning the given node a high priority in comparison to nodes for which the statistics return a high frequency; and when the statistics return the high frequency for the given node, assigning the given node a low priority in comparison to nodes for which the statistics return the low frequency. | 0.804601 |
8,078,469 | 8 | 14 | 8. A method for providing a distributed voice interface comprising: receiving an audio input comprising results from preliminary signal processing, the preliminary signal processing comprising keyword detection on a speech input; storing an acoustic model of the audio input; performing speech recognition on the received audio input, based at least in part on a previously stored acoustic model in order to recognize a command; and transmitting data to a device over a network, responsive to the command, using communication channels comprising: a high bandwidth communication channel configured to transmit data supporting audio or video output at the device, and a low bandwidth communication channel configured to transmit data supporting control signals for operation of a primary functionality component of the device, wherein the data comprises audio data generated to be consistent with audio data generated by the device based on a type of the device. | 8. A method for providing a distributed voice interface comprising: receiving an audio input comprising results from preliminary signal processing, the preliminary signal processing comprising keyword detection on a speech input; storing an acoustic model of the audio input; performing speech recognition on the received audio input, based at least in part on a previously stored acoustic model in order to recognize a command; and transmitting data to a device over a network, responsive to the command, using communication channels comprising: a high bandwidth communication channel configured to transmit data supporting audio or video output at the device, and a low bandwidth communication channel configured to transmit data supporting control signals for operation of a primary functionality component of the device, wherein the data comprises audio data generated to be consistent with audio data generated by the device based on a type of the device. 14. The method of claim 8 , further comprising: updating or modifying the keyword detection based at least in part on words within the audio input; and updating the previously stored acoustic model based at least in part on the audio input. | 0.769231 |
9,069,733 | 12 | 13 | 12. The system of claim 10 , further comprising a third enterprise architecture diagram created in accordance with a third set of graphical guidelines and comprising a plurality of standardized graphical components to visually represent a third enterprise architecture, wherein the third enterprise diagram corresponds to the technology model level and the processes category of the framework, wherein upon selection of the first, second, or third units, displaying the first, second, or third enterprise architecture diagrams, respectively. | 12. The system of claim 10 , further comprising a third enterprise architecture diagram created in accordance with a third set of graphical guidelines and comprising a plurality of standardized graphical components to visually represent a third enterprise architecture, wherein the third enterprise diagram corresponds to the technology model level and the processes category of the framework, wherein upon selection of the first, second, or third units, displaying the first, second, or third enterprise architecture diagrams, respectively. 13. The system of claim 12 , further comprising a fourth enterprise architecture diagram created in accordance with a fourth set of graphical guidelines and comprising a plurality of standardized graphical components to visually represent an fourth enterprise architecture, wherein the fourth enterprise diagram corresponds to the technology model level and the location category of the framework, wherein upon selection of the first, second, third or fourth units, displaying the first, second, third, or fourth enterprise architecture diagrams, respectively. | 0.930017 |
8,380,503 | 1 | 2 | 1. A method embodied in a computer readable medium for generating challenge data to be used for accessing data and/or resources of an electronic computing system comprising: (a) automatically generating a candidate challenge sentence from a first set of words and phrases using a computing system; (b) automatically generating at least one first utterance from a first machine text to speech system of said candidate challenge sentence using the computing system, said at least one first utterance including first acoustical characteristics; (c) acquiring at least one second utterance of said candidate challenge sentence known to be from a human speaker using the computing system, said at least one second utterance including second acoustical characteristics; (d) automatically determining a difference in said first and second acoustical characteristics using the computing system to determine a challenge sentence acoustic score for said candidate challenge sentence; (e) automatically selecting said candidate challenge sentence as a suitable challenge item in an utterance-based challenge system and storing said at least one second utterance and said candidate challenge sentence in a challenge item database using the computer system when said candidate challenge sentence acoustic score exceeds a target threshold, indicating that said at least one first utterance from the first machine text to speech system is sufficiently different from said at least one second utterance from the human speaker for said candidate challenge sentence to be used to automatically distinguish between humans and machines attempting to access the electronic computing system. | 1. A method embodied in a computer readable medium for generating challenge data to be used for accessing data and/or resources of an electronic computing system comprising: (a) automatically generating a candidate challenge sentence from a first set of words and phrases using a computing system; (b) automatically generating at least one first utterance from a first machine text to speech system of said candidate challenge sentence using the computing system, said at least one first utterance including first acoustical characteristics; (c) acquiring at least one second utterance of said candidate challenge sentence known to be from a human speaker using the computing system, said at least one second utterance including second acoustical characteristics; (d) automatically determining a difference in said first and second acoustical characteristics using the computing system to determine a challenge sentence acoustic score for said candidate challenge sentence; (e) automatically selecting said candidate challenge sentence as a suitable challenge item in an utterance-based challenge system and storing said at least one second utterance and said candidate challenge sentence in a challenge item database using the computer system when said candidate challenge sentence acoustic score exceeds a target threshold, indicating that said at least one first utterance from the first machine text to speech system is sufficiently different from said at least one second utterance from the human speaker for said candidate challenge sentence to be used to automatically distinguish between humans and machines attempting to access the electronic computing system. 2. The method of claim 1 , wherein acoustical features of said first utterance and said second utterance are measured, and regions of greatest difference are identified to be used as discriminators. | 0.707965 |
8,631,025 | 8 | 11 | 8. The system of claim 7 , further comprising an image acquisition unit for acquisition of image data-objects. | 8. The system of claim 7 , further comprising an image acquisition unit for acquisition of image data-objects. 11. The system of claim 8 , wherein the image acquisition apparatus is a CT system, an X-ray system, an MRI system, a US system, a PET system, a SPECT system or an NM system. | 0.941884 |
8,949,231 | 1 | 8 | 1. A user-interface method of selecting and presenting a collection of content items in which the presentation is ordered at least in part based on analyzing activity associated with content items having descriptive terms that describe the content items and promoting the presentation ranking of content items associated with descriptive terms that have an increased level of current activity, the method comprising: providing access to a set of content items, each content item having at least one associated descriptive term to describe the content item; receiving input entered by users for identifying desired content items; in response to the input entered by the users, presenting corresponding subsets of content items to the users; receiving actions from the users selecting content items from the corresponding subsets; analyzing the selection actions received from the users to detect an increased level of current activity relative to a normal level of activity associated with the content items selected by the users; selecting and ordering a collection of content items from the provided set of content items based on promoting the ranking of content items associated with descriptive terms that are associated with content items that have the increased level of current activity relative to the normal activity level; and presenting the collection of content items to at least one user. | 1. A user-interface method of selecting and presenting a collection of content items in which the presentation is ordered at least in part based on analyzing activity associated with content items having descriptive terms that describe the content items and promoting the presentation ranking of content items associated with descriptive terms that have an increased level of current activity, the method comprising: providing access to a set of content items, each content item having at least one associated descriptive term to describe the content item; receiving input entered by users for identifying desired content items; in response to the input entered by the users, presenting corresponding subsets of content items to the users; receiving actions from the users selecting content items from the corresponding subsets; analyzing the selection actions received from the users to detect an increased level of current activity relative to a normal level of activity associated with the content items selected by the users; selecting and ordering a collection of content items from the provided set of content items based on promoting the ranking of content items associated with descriptive terms that are associated with content items that have the increased level of current activity relative to the normal activity level; and presenting the collection of content items to at least one user. 8. The method of claim 1 , wherein the input is entered by the user on a hand-held device. | 0.94382 |
10,049,127 | 13 | 19 | 13. A method, comprising: performing, by a computer: coordinating transaction-based access to a concurrently accessible object by concurrently executing transactions, wherein one or more methods for transaction-based access to the object are identified by a source-level programming language construct in an object-oriented programming language; wherein coordinating transaction-based access to the object comprises an atomic transaction of the concurrently executing transactions performing: determining whether the object is being accessed; and in response to determining that the object is not being accessed: modifying a working copy of the object; accessing one or more other objects; and committing the atomic transaction, wherein said committing is performed subsequent to said modifying and subsequent to the accessing the one or more other objects, wherein the working copy becomes the current shared object. | 13. A method, comprising: performing, by a computer: coordinating transaction-based access to a concurrently accessible object by concurrently executing transactions, wherein one or more methods for transaction-based access to the object are identified by a source-level programming language construct in an object-oriented programming language; wherein coordinating transaction-based access to the object comprises an atomic transaction of the concurrently executing transactions performing: determining whether the object is being accessed; and in response to determining that the object is not being accessed: modifying a working copy of the object; accessing one or more other objects; and committing the atomic transaction, wherein said committing is performed subsequent to said modifying and subsequent to the accessing the one or more other objects, wherein the working copy becomes the current shared object. 19. The method of claim 13 , wherein the programming language includes Java. | 0.971168 |
7,603,355 | 32 | 33 | 32. The computer program product of claim 21 , wherein evaluating the rule based on data describing past accesses of other ones of the plurality of document portions comprises evaluating the rule based on data describing past accesses of other ones of the plurality of document portions and further based on information regarding a user from whom the request to access the document portion was received. | 32. The computer program product of claim 21 , wherein evaluating the rule based on data describing past accesses of other ones of the plurality of document portions comprises evaluating the rule based on data describing past accesses of other ones of the plurality of document portions and further based on information regarding a user from whom the request to access the document portion was received. 33. The computer program product of claim 32 , wherein the user information comprises one of a group containing an indication of whether the user has logged in and an indication of the user's identity. | 0.85785 |
10,127,208 | 3 | 4 | 3. The non-transitory computer-readable recording medium according to claim 1 , wherein the dividing includes, when a data type of a child document item of a document item that corresponds to the first document item and that is in the second document is a string type and, when a content of the first document item includes a string that is identical with a specific string that is previously defined and that corresponds to a child document item, extracting the identical string from the content of the first document item and determining that the extracted string is a divided content. | 3. The non-transitory computer-readable recording medium according to claim 1 , wherein the dividing includes, when a data type of a child document item of a document item that corresponds to the first document item and that is in the second document is a string type and, when a content of the first document item includes a string that is identical with a specific string that is previously defined and that corresponds to a child document item, extracting the identical string from the content of the first document item and determining that the extracted string is a divided content. 4. The non-transitory computer-readable recording medium according to claim 3 , wherein the dividing includes, when a content of the first document item does not include a string that is identical with a specific string that is previously defined and that corresponds to a child document item and, when the content of the first document item include a delimiter character or a space character, determining that a string from a beginning of the content of the first document item to before the delimiter character or the space character is a divided content. | 0.845962 |
9,262,397 | 9 | 14 | 9. A computer-implemented error correction method, comprising acts of: receiving a sequence of multiple words intended to form a fluent language expression; detecting an erroneous subsequence of two or more words in the sequence of multiple words defined by a sliding window covering subsequences of two or more words of the sequence of multiple words; generating potential candidate strings of words related to the erroneous subsequence of words from a corpus of alternative arrangements of same or similar words, or subsequences of words in a same context, each of the candidate strings having a variable number of words compared a number of words of the erroneous subsequence; selecting candidate strings from one or more of the potential candidate strings for correction of dysfluency of the language expression by the erroneous subsequence of words and presenting potential corrections to a user; and utilizing a processor that executes instructions stored in memory to perform at least one of the acts of detecting, generating, or selecting. | 9. A computer-implemented error correction method, comprising acts of: receiving a sequence of multiple words intended to form a fluent language expression; detecting an erroneous subsequence of two or more words in the sequence of multiple words defined by a sliding window covering subsequences of two or more words of the sequence of multiple words; generating potential candidate strings of words related to the erroneous subsequence of words from a corpus of alternative arrangements of same or similar words, or subsequences of words in a same context, each of the candidate strings having a variable number of words compared a number of words of the erroneous subsequence; selecting candidate strings from one or more of the potential candidate strings for correction of dysfluency of the language expression by the erroneous subsequence of words and presenting potential corrections to a user; and utilizing a processor that executes instructions stored in memory to perform at least one of the acts of detecting, generating, or selecting. 14. The method of claim 9 , further comprising selecting and presenting only a top number of candidate strings based on a ranking component that ranks the candidate strings. | 0.844424 |
9,934,275 | 5 | 7 | 5. The method of claim 1 , wherein the generating a union query includes: determining a distinct set of tables from which the first and second queries select data from the database, the distinct set of tables including one or more table names of the set of common database tables; and placing each table name of the distinct set of tables in the union query. | 5. The method of claim 1 , wherein the generating a union query includes: determining a distinct set of tables from which the first and second queries select data from the database, the distinct set of tables including one or more table names of the set of common database tables; and placing each table name of the distinct set of tables in the union query. 7. The method of claim 5 , wherein the generating a union query includes: placing each condition of the distinct set of conditions in the union query. | 0.951675 |
7,529,737 | 32 | 33 | 32. A computer containing a processor configured to create models according to claim 28 , wherein the step of validating the models is performed iteratively. | 32. A computer containing a processor configured to create models according to claim 28 , wherein the step of validating the models is performed iteratively. 33. A computer containing a processor configured to create models according to claim 32 , wherein the step of validating the models and estimating their performance by applying them on the third subset is performed iteratively. | 0.922313 |
9,128,918 | 6 | 7 | 6. The method of claim 1 , wherein at least some of the translated components have been previously translated via machine translation with human post-editing. | 6. The method of claim 1 , wherein at least some of the translated components have been previously translated via machine translation with human post-editing. 7. The method of claim 6 , wherein the previous machine translation with human post-editing of the at least some of the translated components was triggered by a request from an online user for consuming the content in a second language. | 0.920752 |
9,280,597 | 18 | 20 | 18. A method, comprising: retrieving a plurality of citations composed by a plurality of subjects citing a plurality of objects that fit a searching query specified by a user; creating, with one or more processors, a list of the plurality of subjects from the user's perspective and calculating the influence scores of the plurality of subjects on the user by flattening a user's influence network of subjects up to a given number of degrees, levels, or depth, wherein the list of plurality of subjects from the user's perspective are subjects that are in the user's influence network of subjects and the user's influence network includes subjects that are connected to the user either directly or indirectly through other sources; ranking the plurality of objects of the plurality of citations from the user's perspective using a bias filter, wherein the bias filter includes a ranking function based on the influence scores of the list of plurality of subjects and an inverse number of links of those plurality of subjects from the user's perspective; and selecting objects from the plurality of objects as the search result for the user based on matching of the objects with the searching query as well as the influence scores of the subjects on the user. | 18. A method, comprising: retrieving a plurality of citations composed by a plurality of subjects citing a plurality of objects that fit a searching query specified by a user; creating, with one or more processors, a list of the plurality of subjects from the user's perspective and calculating the influence scores of the plurality of subjects on the user by flattening a user's influence network of subjects up to a given number of degrees, levels, or depth, wherein the list of plurality of subjects from the user's perspective are subjects that are in the user's influence network of subjects and the user's influence network includes subjects that are connected to the user either directly or indirectly through other sources; ranking the plurality of objects of the plurality of citations from the user's perspective using a bias filter, wherein the bias filter includes a ranking function based on the influence scores of the list of plurality of subjects and an inverse number of links of those plurality of subjects from the user's perspective; and selecting objects from the plurality of objects as the search result for the user based on matching of the objects with the searching query as well as the influence scores of the subjects on the user. 20. The method of claim 18 , further comprising: accepting and enforcing the searching query on citation searching, retrieving and ranking, each of which is either be explicitly described by a user or best guessed by the system based on internal statistical data. | 0.814789 |
8,301,578 | 1 | 11 | 1. A method of tagging signals of interest in time variant data, the method causing a computing device to perform steps comprising: classifying, via a processor, data from an input signal using a short-term classifier, wherein there are at least two classifications available comprising a first classification of the data as having no identified outputs and a second classification of the data as at least one potential signal of interest, wherein the short-term classifier also bypasses data that is known to be of no interest; collapsing via the processor the input data in the short-term classifier that is classified as having no identified outputs, thereby creating time-variant data; and tagging via the processor a known signal of interest in the time-variant data that was classified as having at least one potential signal of interest. | 1. A method of tagging signals of interest in time variant data, the method causing a computing device to perform steps comprising: classifying, via a processor, data from an input signal using a short-term classifier, wherein there are at least two classifications available comprising a first classification of the data as having no identified outputs and a second classification of the data as at least one potential signal of interest, wherein the short-term classifier also bypasses data that is known to be of no interest; collapsing via the processor the input data in the short-term classifier that is classified as having no identified outputs, thereby creating time-variant data; and tagging via the processor a known signal of interest in the time-variant data that was classified as having at least one potential signal of interest. 11. The signal tagging system of claim 1 , wherein the signal tagger tags the known signal of interest in one pass of the input signal without the need for pre-segmentation. | 0.752149 |
9,239,824 | 16 | 17 | 16. An apparatus, comprising: a keyboard, the keyboard including a plurality of selectable polysemous symbols; a memory configured to store an interactive dictionary database, the interactive dictionary database including a plurality of symbol sequences, each of the plurality of symbol sequences including at least one of the selectable polysemous symbols and each of the plurality of symbol sequences being stored in association with at least one word, sentence, phoneme, message, letter, number, morpheme, command and/or phrase; and an integrated input and display device configured to display at least portions of the interactive dictionary database to a user upon receipt of user input, including information useable to assign at least a subset of the plurality of symbol sequences at least one of an active and an inactive status, the interactive dictionary database further including a plurality of rationales, each respectively relating a respective one of the plurality of symbol sequences to a respective associated at least one of words, sentences, phonemes, messages, letters, numbers, morphemes, commands and phrases, wherein when an inactive status is assigned to one of the plurality of polysemous symbol sequences, a corresponding sequence of previously selectable symbols of the keyboard is rendered unselectable by the user. | 16. An apparatus, comprising: a keyboard, the keyboard including a plurality of selectable polysemous symbols; a memory configured to store an interactive dictionary database, the interactive dictionary database including a plurality of symbol sequences, each of the plurality of symbol sequences including at least one of the selectable polysemous symbols and each of the plurality of symbol sequences being stored in association with at least one word, sentence, phoneme, message, letter, number, morpheme, command and/or phrase; and an integrated input and display device configured to display at least portions of the interactive dictionary database to a user upon receipt of user input, including information useable to assign at least a subset of the plurality of symbol sequences at least one of an active and an inactive status, the interactive dictionary database further including a plurality of rationales, each respectively relating a respective one of the plurality of symbol sequences to a respective associated at least one of words, sentences, phonemes, messages, letters, numbers, morphemes, commands and phrases, wherein when an inactive status is assigned to one of the plurality of polysemous symbol sequences, a corresponding sequence of previously selectable symbols of the keyboard is rendered unselectable by the user. 17. The apparatus of claim 16 , wherein the information useable to assign at least a subset of the plurality of symbol sequences at least one of an active and an inactive status is stored in the memory, in association with at least a plurality of the symbol sequences, and wherein the integrated input and display device is configured to display the information to the user in a selectable manner. | 0.824647 |
7,516,126 | 1 | 4 | 1. A computer-implemented method utilizing a processor comprising: grouping single fields of a multiple-field source in a computer memory into a plurality of multiple-field keys (MFKs) of a search target, each MFK of the search target having single fields that correspond to single fields in one of a plurality of multiple-field vectors (MFVs) of entries in a data structure; utilizing the processor to generate a set of queries based, at least in part, on the MFKs, wherein each query includes one or more of the MFKs and wherein each query has a different MFK as a lead MFK; using a query to determine whether the non-wildcard values in the MFVs of an entry match the non-wildcard values in corresponding MFKs of the search target; and: if an entry has non-wildcard values in the MFVs that match the corresponding non-wildcard values in the MFKs, then performing an operation associated with the matching entry; or if no entry has non-wildcard values in the MFVs that match the corresponding non-wildcard values in the MFKs, then using the queries to determine whether the entry has non-wildcard values in a MFV that match the non-wildcard values in a corresponding lead MFK, and whether remaining MFVs of the entry match corresponding remaining MFKs based on matching the non-wildcard values and wildcard values. | 1. A computer-implemented method utilizing a processor comprising: grouping single fields of a multiple-field source in a computer memory into a plurality of multiple-field keys (MFKs) of a search target, each MFK of the search target having single fields that correspond to single fields in one of a plurality of multiple-field vectors (MFVs) of entries in a data structure; utilizing the processor to generate a set of queries based, at least in part, on the MFKs, wherein each query includes one or more of the MFKs and wherein each query has a different MFK as a lead MFK; using a query to determine whether the non-wildcard values in the MFVs of an entry match the non-wildcard values in corresponding MFKs of the search target; and: if an entry has non-wildcard values in the MFVs that match the corresponding non-wildcard values in the MFKs, then performing an operation associated with the matching entry; or if no entry has non-wildcard values in the MFVs that match the corresponding non-wildcard values in the MFKs, then using the queries to determine whether the entry has non-wildcard values in a MFV that match the non-wildcard values in a corresponding lead MFK, and whether remaining MFVs of the entry match corresponding remaining MFKs based on matching the non-wildcard values and wildcard values. 4. The method of claim 1 , wherein the non-wildcard values comprise a fixed value, a range of fixed values, or both. | 0.897163 |
9,953,087 | 13 | 14 | 13. The computing system of claim 12 , wherein the post comprises a link corresponding to a search result selected by the user. | 13. The computing system of claim 12 , wherein the post comprises a link corresponding to a search result selected by the user. 14. The computing system of claim 13 , wherein the user inputs, by one or more followers in the set of followers, indicate user actuation of the link corresponding to the search result. | 0.955763 |
9,990,568 | 11 | 12 | 11. The method of claim 1 , wherein the matrix of associations further comprises at least one continuous feature and at least one discrete feature. | 11. The method of claim 1 , wherein the matrix of associations further comprises at least one continuous feature and at least one discrete feature. 12. The method of claim 11 , wherein the at least one discrete feature is assumed to be conditionally independent when the value of the at least one latent variable is known. | 0.947998 |
8,527,523 | 19 | 54 | 19. The method according to claim 1 further comprising: classifying each document from among said N electronic documents as relevant or irrelevant to an issue; and generating a computer display of at least one user-selected document within said N electronic documents, wherein at least some words in said user-selected document are differentially presented depending on their contribution to said classifying of the document as relevant or irrelevant, wherein said words differentially presented are differentially colored and intensity of color is used to represent strength of said contribution for each word. | 19. The method according to claim 1 further comprising: classifying each document from among said N electronic documents as relevant or irrelevant to an issue; and generating a computer display of at least one user-selected document within said N electronic documents, wherein at least some words in said user-selected document are differentially presented depending on their contribution to said classifying of the document as relevant or irrelevant, wherein said words differentially presented are differentially colored and intensity of color is used to represent strength of said contribution for each word. 54. The method according to claim 19 wherein said cut-off point is selected from all ranks of documents in said control subset so as to maximize a quality criterion. | 0.969758 |
8,364,661 | 3 | 10 | 3. The non-transitory, computer readable media as recited in claim 1 , wherein the instructions use a catalog index to uncover one or more keywords within each discerned item entry. | 3. The non-transitory, computer readable media as recited in claim 1 , wherein the instructions use a catalog index to uncover one or more keywords within each discerned item entry. 10. The non-transitory, computer readable media as recited in claim 3 , wherein the instructions search the input customer master file for mark-up language tag transition indicators to discern each item entry within the input customer master file. | 0.91832 |
8,760,451 | 12 | 13 | 12. An image rendering engine, comprising; a processor; a memory coupled to the processor; a display device coupled to the processor; a text string lookup table stored in the memory that includes a set of glyphs and one or more sections of encoding data, wherein each glyph is stored as a field of pixels defining a displayable image associated with a text character, and wherein each section of encoding data defines a text string of two or more text characters to be rendered in an image, wherein each section of encoding data includes two or more sets of character encoding data with each set of character encoding data including first encoding data defining information about a position of a particular text character in the text string from which the center position of the particular text character can be determined and second encoding data defining a reference to one of the glyphs to define the identity of the particular text character in the text string; and a routine, stored in the memory, that executes on the processor to read the first and second encoding data of a particular set of character encoding data for a text character to determine a position of one or more pixels stored with a glyph associated with the text character within the text string to be rendered in an image. | 12. An image rendering engine, comprising; a processor; a memory coupled to the processor; a display device coupled to the processor; a text string lookup table stored in the memory that includes a set of glyphs and one or more sections of encoding data, wherein each glyph is stored as a field of pixels defining a displayable image associated with a text character, and wherein each section of encoding data defines a text string of two or more text characters to be rendered in an image, wherein each section of encoding data includes two or more sets of character encoding data with each set of character encoding data including first encoding data defining information about a position of a particular text character in the text string from which the center position of the particular text character can be determined and second encoding data defining a reference to one of the glyphs to define the identity of the particular text character in the text string; and a routine, stored in the memory, that executes on the processor to read the first and second encoding data of a particular set of character encoding data for a text character to determine a position of one or more pixels stored with a glyph associated with the text character within the text string to be rendered in an image. 13. The image rendering engine of claim 12 , wherein the routine determines a center of the text character of the glyph referenced by the second encoding data using the first encoding data associated with the particular set of character encoding data. | 0.891436 |
8,578,265 | 26 | 30 | 26. A non-transitory machine readable media storing instructions structured to cause an apparatus to: provide a web-based visual editor structured to facilitate generation of a markup language version of the dynamic document, the markup language version of the dynamic document including first data indicative of a dynamic field; convert the markup language version of the dynamic document to a stylesheet version of the dynamic document, the stylesheet version of the dynamic document including second data indicative of the dynamic field; and deploy the stylesheet version of the dynamic document via a network, wherein when the stylesheet version of the dynamic document is executed by a first user, the dynamic field is associated with a first instance of field data to generate a first output document, and when the stylesheet version of the dynamic document is executed by a second different user, the dynamic field is associated with a second different instance of field data to generate a second output document, wherein the first output document and the second output document are in at least one of a PDF form and an RTF form that is outputted to respective client devices of the first and second users, and wherein the markup language version of the dynamic document is displayed as an XHTML page within a web browser at a designer terminal that provides the web-based visual editor, the stylesheet version of the dynamic document is an XSL:FO file stored at an application server, and the first and second output documents are at least one of PDF and RTF files stored locally at respective client devices of the first and second users, the client devices being located remotely from the application server. | 26. A non-transitory machine readable media storing instructions structured to cause an apparatus to: provide a web-based visual editor structured to facilitate generation of a markup language version of the dynamic document, the markup language version of the dynamic document including first data indicative of a dynamic field; convert the markup language version of the dynamic document to a stylesheet version of the dynamic document, the stylesheet version of the dynamic document including second data indicative of the dynamic field; and deploy the stylesheet version of the dynamic document via a network, wherein when the stylesheet version of the dynamic document is executed by a first user, the dynamic field is associated with a first instance of field data to generate a first output document, and when the stylesheet version of the dynamic document is executed by a second different user, the dynamic field is associated with a second different instance of field data to generate a second output document, wherein the first output document and the second output document are in at least one of a PDF form and an RTF form that is outputted to respective client devices of the first and second users, and wherein the markup language version of the dynamic document is displayed as an XHTML page within a web browser at a designer terminal that provides the web-based visual editor, the stylesheet version of the dynamic document is an XSL:FO file stored at an application server, and the first and second output documents are at least one of PDF and RTF files stored locally at respective client devices of the first and second users, the client devices being located remotely from the application server. 30. The non-transitory machine readable media of claim 26 , wherein the dynamic field is associated with an XML schema element. | 0.884335 |
7,821,426 | 9 | 11 | 9. The computer-implemented method of claim 8 , wherein the reading of the compressed plurality of literal symbols occurs in a read order that is opposite from the reading of the encoded plurality of literal symbols. | 9. The computer-implemented method of claim 8 , wherein the reading of the compressed plurality of literal symbols occurs in a read order that is opposite from the reading of the encoded plurality of literal symbols. 11. The computer-implemented method of claim 9 , wherein the reading of the compressed plurality of literal symbols uses a file pointer that advances to the left of a ending of the second data block. | 0.854745 |
8,521,821 | 1 | 9 | 1. At a web browser in a computing system, a method of sending a secure email via an email server, the method comprising: receiving user input requesting a compose email page user interface for a web-based email system; requesting the compose email page user interface from a server for the web-based mail system; receiving web page code from the server for the compose email page user interface; parsing the web page code for the compose email page user interface to determine screen locations of one or more user input interface elements including at least an email text box user input interface element; rendering the compose email page user interface in the browser, the compose email page user interface configured to receive plain text user input from a user; overlaying one or more browser-based user interface elements implemented integral to the browser and separate from the web page code from the server onto the compose email page user interface, wherein one or more of the browser-based interface elements are displayed at one or more of the determined screen locations, including overlaying a browser-based text box user input interface element over the email text box user input interface element; receiving unencrypted plain text user input in the overlaid browser-based text box user input interface element, wherein the unencrypted plain text user input is not available to the email server ; encrypting the unencrypted plain text user input received in the overlaid browser-based text box user input interface element to encrypted text, wherein encrypting the plain text user input comprises: sending a request to a key server for a sender key, wherein the request includes an identification of an entity sending the secure email; receiving a sender key, the sender key being derived from a master secret key and the identification of the entity sending the secure email; generating a sender-recipient key using the sender key and an identification of a recipient of the secure email; deriving an encryption key using the sender-recipient key; and using the encryption key, encrypting the user input received in the overlaid browser-based text box user input interface element; transferring the encrypted text from the overlaid browser-based text box user input interface element into the email text box user input interface element overlaid by the browser-based text box user input interface element; sending the secure email comprising the transferred encrypted text to an intended recipient via an email server; and wherein the email server is unable to decrypt the encrypted text. | 1. At a web browser in a computing system, a method of sending a secure email via an email server, the method comprising: receiving user input requesting a compose email page user interface for a web-based email system; requesting the compose email page user interface from a server for the web-based mail system; receiving web page code from the server for the compose email page user interface; parsing the web page code for the compose email page user interface to determine screen locations of one or more user input interface elements including at least an email text box user input interface element; rendering the compose email page user interface in the browser, the compose email page user interface configured to receive plain text user input from a user; overlaying one or more browser-based user interface elements implemented integral to the browser and separate from the web page code from the server onto the compose email page user interface, wherein one or more of the browser-based interface elements are displayed at one or more of the determined screen locations, including overlaying a browser-based text box user input interface element over the email text box user input interface element; receiving unencrypted plain text user input in the overlaid browser-based text box user input interface element, wherein the unencrypted plain text user input is not available to the email server ; encrypting the unencrypted plain text user input received in the overlaid browser-based text box user input interface element to encrypted text, wherein encrypting the plain text user input comprises: sending a request to a key server for a sender key, wherein the request includes an identification of an entity sending the secure email; receiving a sender key, the sender key being derived from a master secret key and the identification of the entity sending the secure email; generating a sender-recipient key using the sender key and an identification of a recipient of the secure email; deriving an encryption key using the sender-recipient key; and using the encryption key, encrypting the user input received in the overlaid browser-based text box user input interface element; transferring the encrypted text from the overlaid browser-based text box user input interface element into the email text box user input interface element overlaid by the browser-based text box user input interface element; sending the secure email comprising the transferred encrypted text to an intended recipient via an email server; and wherein the email server is unable to decrypt the encrypted text. 9. The method of claim 1 , wherein overlaying one or more browser-based user interface elements implemented integral to the browser and separate from the web page code from the server onto the compose email page user interface, wherein one or more of the browser-based interface elements are displayed at one or more of the determined screen locations is performed in response to user input indicating a desire to send a secure email. | 0.636516 |
9,311,284 | 21 | 22 | 21. A computer program product stored on a non-transitory, computer readable medium and operable for execution by at least one computer processor of a mobile computing device, the computer program product comprising computer readable executable program code and at least one structured document, wherein the computer program instructions are executable by the at least one computer processor of a mobile computing device to perform a method for using a computer program product on the mobile computing device, the method comprising: executing, by the mobile computing device, a computer program product received from provisioning source and stored on the non-transitory computer medium of the mobile computing device, the computer program code including at least programming code and at least one structured document that together describe at least a portion of functionality provided by the computer program product; populating, by an abstraction layer executing on the mobile computing device, a Document Object Model (“DOM”) structure, the DOM structure at least in part representing the running state of the computer program product consistent with the portion of functionality provided by the computer program product described in the received at least one structured document and the received programming code; presenting, by the abstraction layer, a device-independent application user interface responsive to the DOM structure; receiving, by the computer program code, a user input from within the rendered device-independent application user interface; receiving, by the programming code referenced by the DOM structure, from the abstraction layer, the input event; reconfiguring, by the programming code referenced by the DOM structure, in response to the received input event, the DOM structure to update the running state of the computer program product based on a response by the computer program product to the input; and updating, by the abstraction layer, the device-independent application user interface, responsive to the reconfiguring of the DOM structure. | 21. A computer program product stored on a non-transitory, computer readable medium and operable for execution by at least one computer processor of a mobile computing device, the computer program product comprising computer readable executable program code and at least one structured document, wherein the computer program instructions are executable by the at least one computer processor of a mobile computing device to perform a method for using a computer program product on the mobile computing device, the method comprising: executing, by the mobile computing device, a computer program product received from provisioning source and stored on the non-transitory computer medium of the mobile computing device, the computer program code including at least programming code and at least one structured document that together describe at least a portion of functionality provided by the computer program product; populating, by an abstraction layer executing on the mobile computing device, a Document Object Model (“DOM”) structure, the DOM structure at least in part representing the running state of the computer program product consistent with the portion of functionality provided by the computer program product described in the received at least one structured document and the received programming code; presenting, by the abstraction layer, a device-independent application user interface responsive to the DOM structure; receiving, by the computer program code, a user input from within the rendered device-independent application user interface; receiving, by the programming code referenced by the DOM structure, from the abstraction layer, the input event; reconfiguring, by the programming code referenced by the DOM structure, in response to the received input event, the DOM structure to update the running state of the computer program product based on a response by the computer program product to the input; and updating, by the abstraction layer, the device-independent application user interface, responsive to the reconfiguring of the DOM structure. 22. The computer program product of claim 21 , wherein the at least one structured document comprises an extensible markup language (XML) structured document. | 0.678862 |
9,218,397 | 1 | 2 | 1. A computer-implemented method, comprising: obtaining, in a server device, a plurality of first search results responsive to a first search query of a user, the plurality of first search results being ranked in an order; identifying a second search query based on the second search query being previously submitted by the user and being related to the first search query; obtaining one or more second search results responsive to the second search query; identifying a particular search result of the second search results; determining that the particular search result is not within a threshold number of highest-ranked first search results of the first search results responsive to the first search query; in response to determining that the particular search result is not within the threshold number of the highest-ranked first search results of the first search results responsive to the first search query, modifying the first search results by providing the particular search result within the threshold number of highest-ranked first search results of the first search results responsive to the first search query; and providing the modified plurality of first search results in response to the first search query. | 1. A computer-implemented method, comprising: obtaining, in a server device, a plurality of first search results responsive to a first search query of a user, the plurality of first search results being ranked in an order; identifying a second search query based on the second search query being previously submitted by the user and being related to the first search query; obtaining one or more second search results responsive to the second search query; identifying a particular search result of the second search results; determining that the particular search result is not within a threshold number of highest-ranked first search results of the first search results responsive to the first search query; in response to determining that the particular search result is not within the threshold number of the highest-ranked first search results of the first search results responsive to the first search query, modifying the first search results by providing the particular search result within the threshold number of highest-ranked first search results of the first search results responsive to the first search query; and providing the modified plurality of first search results in response to the first search query. 2. The method of claim 1 , further comprising: determining the second search query is related to the first search query based on similarity between one or more terms of the first search query and one or more terms of the second search query. | 0.776852 |
5,379,366 | 18 | 19 | 18. The method for representing information in a computer system according to claim 17, further comprising the steps of: reading the relationships stored in a designated active concept record and identifying the attribute class concepts of the characterizations of said relationships; identifying relevant documents to said record by comparing said identified attribute class concepts to system concepts known by the system to be associated with the types of documents which the system can automatically derive; selecting from said identified relevant documents a specific document for display of said record; deriving said specific document; and displaying said specific document. | 18. The method for representing information in a computer system according to claim 17, further comprising the steps of: reading the relationships stored in a designated active concept record and identifying the attribute class concepts of the characterizations of said relationships; identifying relevant documents to said record by comparing said identified attribute class concepts to system concepts known by the system to be associated with the types of documents which the system can automatically derive; selecting from said identified relevant documents a specific document for display of said record; deriving said specific document; and displaying said specific document. 19. The method for representing information in a computer system according to claim 18, wherein the step of deriving a specific document includes the steps of: selecting a view, class, and type of display for said active concept record; automatically deriving the selected type of display by reading a subset of the records in said knowledge representation database relative to said active concept record, based on stored relationships therein, which subset defines the concepts constituting said selected type of display; assigning icons to said subset of the records according to said selected type of display; organizing and locating said icons in a display space of said computer system according to said selected class; and creating connection icons for interconnections between concept icons located in said display space according to said selected view. | 0.943614 |
6,151,021 | 29 | 48 | 29. A computer readable storage medium having program code stored thereon, wherein the program code is arranged so that, when the program code is executed by a computer, a note is displayed, the note has an options area, a notation area, and a grab area, and the notation area and the grab area are different areas of the note and so that, when the options area is activated, a list of options is displayed, wherein the options area contains a preformatted notes option. | 29. A computer readable storage medium having program code stored thereon, wherein the program code is arranged so that, when the program code is executed by a computer, a note is displayed, the note has an options area, a notation area, and a grab area, and the notation area and the grab area are different areas of the note and so that, when the options area is activated, a list of options is displayed, wherein the options area contains a preformatted notes option. 48. The computer readable storage medium of claim 29 wherein the options area contains a navigation option. | 0.841716 |
8,347,405 | 1 | 2 | 1. An apparatus for Asynchronous Java Script and XML (AJAX) form-based authentication using Java 2 Platform Enterprise Edition, the apparatus comprising: a server having a processor coupled to a memory, wherein the processor is programmed to perform authentication by executing computer code implementing: a redirection module configured to: detect whether an AJAX request received from an AJAX-enabled application on a client requires access to data marked as secure; and redirect the AJAX request to an authentication required servlet in response to detecting that the AJAX request requires access to data marked as secure; a response module configured to issue an AJAX response to the AJAX-enabled application on the client if the AJAX request is redirected to the authentication required servlet, the AJAX response, independently of a server-side security credential form, directing the AJAX-enabled application on the client to obtain user security credentials and to return the obtained security credentials to the server; an authentication module configured to authenticate the user security credentials using a web container authentication service, the user security credentials received by way of an AJAX form-based authentication request such that the authentication module simulates a conventional form submission without actually using a form on the server-side; and a processing module configured to process the AJAX request in response to a positive authentication of the user security credentials. | 1. An apparatus for Asynchronous Java Script and XML (AJAX) form-based authentication using Java 2 Platform Enterprise Edition, the apparatus comprising: a server having a processor coupled to a memory, wherein the processor is programmed to perform authentication by executing computer code implementing: a redirection module configured to: detect whether an AJAX request received from an AJAX-enabled application on a client requires access to data marked as secure; and redirect the AJAX request to an authentication required servlet in response to detecting that the AJAX request requires access to data marked as secure; a response module configured to issue an AJAX response to the AJAX-enabled application on the client if the AJAX request is redirected to the authentication required servlet, the AJAX response, independently of a server-side security credential form, directing the AJAX-enabled application on the client to obtain user security credentials and to return the obtained security credentials to the server; an authentication module configured to authenticate the user security credentials using a web container authentication service, the user security credentials received by way of an AJAX form-based authentication request such that the authentication module simulates a conventional form submission without actually using a form on the server-side; and a processing module configured to process the AJAX request in response to a positive authentication of the user security credentials. 2. The apparatus of claim 1 , wherein the processing module is further configured to pass the authentication result to an authentication failed servlet in response to a rejection of the user security credentials, the authentication failed servlet returning an AJAX response to the client comprising an authentication failure message, the client configured to indicate a security credential failure message. | 0.614068 |
9,195,386 | 1 | 4 | 1. A method for an electronic device comprising: detecting a first touch input representing a selection of text in a first selection mode, the text being displayed on a touch-sensitive display of the electronic device; determining whether the selected text meets or exceeds a predetermined size, wherein the predetermined size comprises at least one complete row of displayed text; and responsive to the determination that the selected text comprises at least one complete row, enabling a second selection mode and displaying a paragraph selection handle proximate to the selected text. | 1. A method for an electronic device comprising: detecting a first touch input representing a selection of text in a first selection mode, the text being displayed on a touch-sensitive display of the electronic device; determining whether the selected text meets or exceeds a predetermined size, wherein the predetermined size comprises at least one complete row of displayed text; and responsive to the determination that the selected text comprises at least one complete row, enabling a second selection mode and displaying a paragraph selection handle proximate to the selected text. 4. The method according to claim 1 , further comprising: detecting a gesture input to drag the selection handle in a direction on the display; and highlighting additional text based on the dragging of the selection handle. | 0.587361 |
9,269,057 | 9 | 11 | 9. The method of claim 8 , wherein removing one or more workers form the plurality of workers further comprises: removing a first number of workers associated with examples associated with the first class based on a number of examples associated with the first class being distributed; and removing a second number of workers associated with examples associated with the second class based on a number of examples associated with the second class being distributed. | 9. The method of claim 8 , wherein removing one or more workers form the plurality of workers further comprises: removing a first number of workers associated with examples associated with the first class based on a number of examples associated with the first class being distributed; and removing a second number of workers associated with examples associated with the second class based on a number of examples associated with the second class being distributed. 11. The method of claim 9 , wherein the second number is based upon the number of distributed examples associated with the second class. | 0.937729 |
9,330,311 | 5 | 6 | 5. A method comprising: receiving an image file representing an image comprising text; determining, by a processing device, a plurality of portions of the image respectively corresponding to a plurality of letters of the text; determining, for a first letter of the plurality of letters, a set of letter properties comprising at least one dependent letter property and at least one independent letter property, wherein each of the at least one dependent letter property of the first letter is dependent on another letter of the plurality of letters and each of the at least one independent letter property of the first letter is independent of all other letters of the plurality of letters; and classifying the first letter into one of a plurality of letterform classes based on the set of letter properties. | 5. A method comprising: receiving an image file representing an image comprising text; determining, by a processing device, a plurality of portions of the image respectively corresponding to a plurality of letters of the text; determining, for a first letter of the plurality of letters, a set of letter properties comprising at least one dependent letter property and at least one independent letter property, wherein each of the at least one dependent letter property of the first letter is dependent on another letter of the plurality of letters and each of the at least one independent letter property of the first letter is independent of all other letters of the plurality of letters; and classifying the first letter into one of a plurality of letterform classes based on the set of letter properties. 6. The method of claim 5 , wherein the at least one independent letter property comprises a rectangular bounding box and a slanted bounding box. | 0.898017 |
9,674,132 | 12 | 15 | 12. A computer system for managing message communications, comprising: a storage media configured to store message objects including emails, chats, SMS, and other type of messages and software modules; a user interface configured to display message contents, and information about message senders or recipients; and one or more processors configured to access a memory module and the storage media, coupled with the user interface, and further configured to invoke a software module on a server or client computing device to (a) receive a first message, wherein the first message is addressed to or received by multiple recipients, (b) register a user action to reply to the first message, (c) display an message composition or editing interface in response to the user action, (d) detect whether the user is replying only to the sender of the first message as a first operation mode, or to multiple recipients of the first message as a second operation mode, and (e) display a notification, wherein the notification indicates whether the user is replying in the first operation mode or in the second operation mode. | 12. A computer system for managing message communications, comprising: a storage media configured to store message objects including emails, chats, SMS, and other type of messages and software modules; a user interface configured to display message contents, and information about message senders or recipients; and one or more processors configured to access a memory module and the storage media, coupled with the user interface, and further configured to invoke a software module on a server or client computing device to (a) receive a first message, wherein the first message is addressed to or received by multiple recipients, (b) register a user action to reply to the first message, (c) display an message composition or editing interface in response to the user action, (d) detect whether the user is replying only to the sender of the first message as a first operation mode, or to multiple recipients of the first message as a second operation mode, and (e) display a notification, wherein the notification indicates whether the user is replying in the first operation mode or in the second operation mode. 15. The system of claim 12 , wherein the processor is further configured to: attach or allow to attach a notification to the message being composed if the user is replying only to the sender of the first message, wherein the notification indicates that the current reply is sent to the sender only, or the current reply is not sent to multiple recipients of the first message. | 0.759898 |
9,177,555 | 1 | 2 | 1. A method comprising: receiving, from a subscriber, a spoken message to a recipient; receiving, from the subscriber, spoken disambiguating information indicating how to deliver the spoken message to the recipient; converting, via a processor, the spoken message to text; determining a recipient address associated with the recipient based on the spoken disambiguating information; and communicating the text to the recipient address. | 1. A method comprising: receiving, from a subscriber, a spoken message to a recipient; receiving, from the subscriber, spoken disambiguating information indicating how to deliver the spoken message to the recipient; converting, via a processor, the spoken message to text; determining a recipient address associated with the recipient based on the spoken disambiguating information; and communicating the text to the recipient address. 2. The method of claim 1 , further comprising verifying a subscription status of the subscriber. | 0.901235 |
7,820,900 | 9 | 12 | 9. A sound recognition system, comprising: a sound input device; a processing device operatively connected to said sound input device; and a display operatively connected to said processing device; wherein: said processing device executes computer readable code to create a first visual representation of a first sound sensed by the sound input device for output on the display; wherein: said first visual representation is evaluated to determine whether a security breach has occurred; and wherein: said first visual representation is generated according to a method comprising the steps of: said first visual representation is generated according to a method comprising the steps of: (a) placing twelve labels in a pattern of a circle, said twelve labels corresponding to twelve respective frequencies, such that moving clockwise or counter-clockwise between adjacent ones of said labels represents a first frequency interval; (b) identifying an occurrence of a first frequency within the first sound; (c) identifying an occurrence of a second frequency within the first sound; (d) identifying a first point on the circle, said first point corresponding to the first frequency; (e) identifying a second point on the circle, said second point corresponding to the second frequency; (f) creating a first line connecting the first label and the second label, wherein: (1) the first line is a mixture of a first color and a second color if the first frequency and the second frequency are separated by more than the first frequency interval and less than a first multiple of the frequency interval; (2) the first line is a mixture of a second color and a third color if the first frequency and the second frequency are separated by more than the first multiple of the first frequency interval and less than a second multiple of the frequency interval; (3) the first line is a mixture of a third color and a fourth color if the first frequency and the second frequency are separated by more than the second multiple of the first frequency interval and less than a third multiple of the frequency interval; (4) the first line is a mixture of a fourth color and a fifth color if the first frequency and the second frequency are separated by more than the third multiple of the first frequency interval and less than a fourth multiple of the frequency interval; (5) the first line is a mixture of a fifth color and a sixth color if the first frequency and the second frequency are separated by more than the fourth multiple of the first frequency interval and less than a fifth multiple of the frequency interval. | 9. A sound recognition system, comprising: a sound input device; a processing device operatively connected to said sound input device; and a display operatively connected to said processing device; wherein: said processing device executes computer readable code to create a first visual representation of a first sound sensed by the sound input device for output on the display; wherein: said first visual representation is evaluated to determine whether a security breach has occurred; and wherein: said first visual representation is generated according to a method comprising the steps of: said first visual representation is generated according to a method comprising the steps of: (a) placing twelve labels in a pattern of a circle, said twelve labels corresponding to twelve respective frequencies, such that moving clockwise or counter-clockwise between adjacent ones of said labels represents a first frequency interval; (b) identifying an occurrence of a first frequency within the first sound; (c) identifying an occurrence of a second frequency within the first sound; (d) identifying a first point on the circle, said first point corresponding to the first frequency; (e) identifying a second point on the circle, said second point corresponding to the second frequency; (f) creating a first line connecting the first label and the second label, wherein: (1) the first line is a mixture of a first color and a second color if the first frequency and the second frequency are separated by more than the first frequency interval and less than a first multiple of the frequency interval; (2) the first line is a mixture of a second color and a third color if the first frequency and the second frequency are separated by more than the first multiple of the first frequency interval and less than a second multiple of the frequency interval; (3) the first line is a mixture of a third color and a fourth color if the first frequency and the second frequency are separated by more than the second multiple of the first frequency interval and less than a third multiple of the frequency interval; (4) the first line is a mixture of a fourth color and a fifth color if the first frequency and the second frequency are separated by more than the third multiple of the first frequency interval and less than a fourth multiple of the frequency interval; (5) the first line is a mixture of a fifth color and a sixth color if the first frequency and the second frequency are separated by more than the fourth multiple of the first frequency interval and less than a fifth multiple of the frequency interval. 12. The method of claim 9 , further comprising the steps of: (g) identifying an occurrence of a third frequency within said sound; (h) identifying a third label corresponding to the third frequency; (i) creating a second line connecting the second label and the third label; and (j) creating a third line connecting the third label and the first label. | 0.605381 |
7,529,756 | 1 | 6 | 1. A graphical user interface stored on a machine-readable medium for facilitating human interaction with a database of legal documents, the interface comprising: a first interface screen including: a first data window for displaying one or more portions of a first legal document containing one or more citations to other legal documents; and a first control interface adjacent the data window, the first control interface having first user-selectable means for indicating before selection whether the first legal document includes at least one portion having compromised legal authority and for invoking after selection display of a second interface screen, wherein the second interface screen comprises: a second data window for displaying one or more citations to other legal documents that reference the first legal document or other legal documents that the first legal document is otherwise related to; and a second control interface adjacent the second data window, the second control interface having second user-selectable means for affecting the number or type of citations displayed in the second data window; and third user-selectable means for invoking display of a third interface screen, wherein the third interface screen comprises: a third data window for displaying in a first mode one or more headnotes associated with the first legal document and for displaying in a second mode one or more subject-matter classifications associated with the first legal document; and a third control interface adjacent the third data window the third control interface including: fourth user-selectable means for switching the third data window between the first and second modes; fifth user-selectable means for selecting one or more headnotes; and sixth user-selectable means for selecting one or more legal subject-matter classifications; and seventh user-selectable means for re-invoking display of the second control screen, with the second display window responsive to the fifth or sixth user-selectable means to limit display of citations based on the selected headnotes or the selected subject-matter classifications. | 1. A graphical user interface stored on a machine-readable medium for facilitating human interaction with a database of legal documents, the interface comprising: a first interface screen including: a first data window for displaying one or more portions of a first legal document containing one or more citations to other legal documents; and a first control interface adjacent the data window, the first control interface having first user-selectable means for indicating before selection whether the first legal document includes at least one portion having compromised legal authority and for invoking after selection display of a second interface screen, wherein the second interface screen comprises: a second data window for displaying one or more citations to other legal documents that reference the first legal document or other legal documents that the first legal document is otherwise related to; and a second control interface adjacent the second data window, the second control interface having second user-selectable means for affecting the number or type of citations displayed in the second data window; and third user-selectable means for invoking display of a third interface screen, wherein the third interface screen comprises: a third data window for displaying in a first mode one or more headnotes associated with the first legal document and for displaying in a second mode one or more subject-matter classifications associated with the first legal document; and a third control interface adjacent the third data window the third control interface including: fourth user-selectable means for switching the third data window between the first and second modes; fifth user-selectable means for selecting one or more headnotes; and sixth user-selectable means for selecting one or more legal subject-matter classifications; and seventh user-selectable means for re-invoking display of the second control screen, with the second display window responsive to the fifth or sixth user-selectable means to limit display of citations based on the selected headnotes or the selected subject-matter classifications. 6. The graphical user interface of claim 1 , wherein at least one displayed citation is displayed in association with a depth-of-treatment indicator that indicates how significant the first legal document is to the legal document identified by the one displayed citation. | 0.555738 |
10,095,740 | 1 | 5 | 1. A method, in a data processing system comprising a processor and a memory having instructions which, when executed by the processor, cause the processor to implement an ingestion engine for ingesting natural language textual content, the method comprising: initiating, by the ingestion engine, ingestion of natural language textual content; identifying, by the ingestion engine, an embedded structured data portion within the natural language textual content; generating, by the ingestion engine, a signature of the structured data portion, wherein the signature comprises one or more metadata elements describing the configuration or content of the structured data portion; identifying, by the ingestion engine, references to the structured data portion in natural language text portions of the natural language textual content; evaluating, by the ingestion engine, the references based on the signature of the structured data portion; generating, by the ingestion engine, an ingestion prioritization plan for ingesting a set of facts associated with a set of elements of the structured data portion based on results of the evaluation; and applying, by the ingestion engine, the ingestion prioritization plan to generate the set of facts and store the set of facts in an ingested representation of the natural language textual content. | 1. A method, in a data processing system comprising a processor and a memory having instructions which, when executed by the processor, cause the processor to implement an ingestion engine for ingesting natural language textual content, the method comprising: initiating, by the ingestion engine, ingestion of natural language textual content; identifying, by the ingestion engine, an embedded structured data portion within the natural language textual content; generating, by the ingestion engine, a signature of the structured data portion, wherein the signature comprises one or more metadata elements describing the configuration or content of the structured data portion; identifying, by the ingestion engine, references to the structured data portion in natural language text portions of the natural language textual content; evaluating, by the ingestion engine, the references based on the signature of the structured data portion; generating, by the ingestion engine, an ingestion prioritization plan for ingesting a set of facts associated with a set of elements of the structured data portion based on results of the evaluation; and applying, by the ingestion engine, the ingestion prioritization plan to generate the set of facts and store the set of facts in an ingested representation of the natural language textual content. 5. The method of claim 1 , wherein evaluating the references based on the signature of the structured data portion comprises: calculating a priority score associated with metadata elements in the signature of the structured data portion based on identification of references to the metadata elements in the signature. | 0.654684 |
10,147,424 | 1 | 7 | 1. A computer-implemented method for selecting a response to an audio stream query, the method comprising: receiving, over a network, a self-support query including spoken content from a user recorded by a remote mobile device; determining a set of paralinguistic features from the spoken content; estimating an emotional state of the user based on the set of paralinguistic features; identifying text strings representing subject matter based on the spoken content in the audio stream query; determining two or more query responses corresponding to the text strings representing the subject matter; selecting, from a query response database, one of the query responses to present to the user based, at least in part, on the emotional state of the user and an uplift model used to select query responses for users with the emotional state; receiving, over the network from the remote mobile device, a user reaction to the query response; determining a favorability metric associated with the user reaction; updating the uplift model based on the attribute of the user, the user reaction and the favorability metric; and based on updating the uplift model, transmitting an additional query response to the remote mobile device, wherein the additional query response is selected based on the uplift model for users with the emotional state of the user. | 1. A computer-implemented method for selecting a response to an audio stream query, the method comprising: receiving, over a network, a self-support query including spoken content from a user recorded by a remote mobile device; determining a set of paralinguistic features from the spoken content; estimating an emotional state of the user based on the set of paralinguistic features; identifying text strings representing subject matter based on the spoken content in the audio stream query; determining two or more query responses corresponding to the text strings representing the subject matter; selecting, from a query response database, one of the query responses to present to the user based, at least in part, on the emotional state of the user and an uplift model used to select query responses for users with the emotional state; receiving, over the network from the remote mobile device, a user reaction to the query response; determining a favorability metric associated with the user reaction; updating the uplift model based on the attribute of the user, the user reaction and the favorability metric; and based on updating the uplift model, transmitting an additional query response to the remote mobile device, wherein the additional query response is selected based on the uplift model for users with the emotional state of the user. 7. The method of claim 1 , wherein identifying subject matter corresponding to the spoken content in the audio stream query comprises comparing the spoken content to types of subject matter in a database. | 0.776805 |
8,494,981 | 15 | 16 | 15. A non-transitory tangible computer readable medium having instructions thereon for implementing a method for controlling a virtual character in a virtual space comprising: defining a plurality of rules in a rules-based system, each of said rules defining a condition that determines a consequent behavior of a virtual agent when the rule is triggered by the condition being satisfied; upon triggering of multiple rules at the same time, combining all of the behaviors of the multiple rules whose conditions were satisfied into a resultant behavior for the virtual agent rather than selecting one of the consequent behaviors, so that the resultant behavior comprises a new combined operation for execution within the virtual space where each of the consequent behaviors partly contributes to the new combined operation; comparing the resultant behavior with a desired behavior; and providing feedback to each of the multiple rules based on a proportional amount of their corresponding contribution to the resultant behavior as compared to the desired behavior. | 15. A non-transitory tangible computer readable medium having instructions thereon for implementing a method for controlling a virtual character in a virtual space comprising: defining a plurality of rules in a rules-based system, each of said rules defining a condition that determines a consequent behavior of a virtual agent when the rule is triggered by the condition being satisfied; upon triggering of multiple rules at the same time, combining all of the behaviors of the multiple rules whose conditions were satisfied into a resultant behavior for the virtual agent rather than selecting one of the consequent behaviors, so that the resultant behavior comprises a new combined operation for execution within the virtual space where each of the consequent behaviors partly contributes to the new combined operation; comparing the resultant behavior with a desired behavior; and providing feedback to each of the multiple rules based on a proportional amount of their corresponding contribution to the resultant behavior as compared to the desired behavior. 16. The non-transitory tangible computer readable medium of claim 15 wherein the consequent behavior is a movement in virtual space having a speed and direction defined by a two-dimensional or three-dimensional speed vector, wherein the consequent behaviors are combined by a vector sum of the two-dimensional or three-dimensional speed vectors. | 0.501445 |
8,024,415 | 7 | 10 | 7. The system of claim 1 , wherein the classifier is provided with at least one of explicit and implicit training. | 7. The system of claim 1 , wherein the classifier is provided with at least one of explicit and implicit training. 10. The system of claim 7 , wherein the explicit training comprises defining one or more training sets including one or more words respectively, the one or more training sets having a predetermined importance. | 0.827842 |
7,680,667 | 1 | 3 | 1. An interactive robot capable of speech recognition, comprising: a sound-source-direction estimating unit that estimates a direction of a sound source for target voices which are required to undergo speech recognition; a moving unit that moves the interactive robot in the sound-source direction; a target-voice acquiring unit that acquires the target voices at a position after moving; a target-voice holding unit that holds voice patterns of the target voices, the target voices including misrecognition-notification voices signifying that speech recognition by the speech recognizing unit is erroneous; a speech recognizing unit that performs speech recognition of the target voices by pattern matching of the voice patterns of the target voices, which are held in the target-voice holding unit, with the target voices acquired by the target-voice acquiring unit; a recognition-accuracy evaluating unit that calculates, as an accuracy of recognition results, an agreement accuracy between the acquired target voices and the voice patterns of the target voices held in the target-voice holding unit; wherein the moving unit moves the interactive robot itself in the direction of the sound source when the recognition accuracy for results of speech recognition of the target voices is smaller than a predetermined recognition-accuracy threshold and when the misrecognition-notification voices held in the target-voice holding unit are recognized. | 1. An interactive robot capable of speech recognition, comprising: a sound-source-direction estimating unit that estimates a direction of a sound source for target voices which are required to undergo speech recognition; a moving unit that moves the interactive robot in the sound-source direction; a target-voice acquiring unit that acquires the target voices at a position after moving; a target-voice holding unit that holds voice patterns of the target voices, the target voices including misrecognition-notification voices signifying that speech recognition by the speech recognizing unit is erroneous; a speech recognizing unit that performs speech recognition of the target voices by pattern matching of the voice patterns of the target voices, which are held in the target-voice holding unit, with the target voices acquired by the target-voice acquiring unit; a recognition-accuracy evaluating unit that calculates, as an accuracy of recognition results, an agreement accuracy between the acquired target voices and the voice patterns of the target voices held in the target-voice holding unit; wherein the moving unit moves the interactive robot itself in the direction of the sound source when the recognition accuracy for results of speech recognition of the target voices is smaller than a predetermined recognition-accuracy threshold and when the misrecognition-notification voices held in the target-voice holding unit are recognized. 3. The interactive robot according to claim 1 , further comprising: a signal-to-noise ratio calculating unit that calculates a signal-to-noise ratio of the target voices; and a signal-to-noise-ratio evaluating unit that compares the calculated signal-to-noise ratio and a predetermined threshold for the signal-to-noise ratio, wherein the moving unit moves the interactive robot itself in the direction of the sound source when the signal-to-noise ratio is smaller than the threshold for the signal-to-noise ratio. | 0.643551 |
7,536,295 | 13 | 14 | 13. The machine translation system of claim 12 , wherein the processing component further comprises: instructions for generating at least one target hypothesis, each of said target hypotheses comprising text fragments selected from the second language; and instructions for evaluating the hypothesis with a translation scoring function. | 13. The machine translation system of claim 12 , wherein the processing component further comprises: instructions for generating at least one target hypothesis, each of said target hypotheses comprising text fragments selected from the second language; and instructions for evaluating the hypothesis with a translation scoring function. 14. The machine translation system of claim 13 , wherein the first feature function counts gaps in the target text of the hypothesis and corresponding source text. | 0.933032 |
9,152,948 | 17 | 20 | 17. A system for providing a structured topic drift for a displayed set of user comments on an article, the system comprising: one or more electronic devices; a communication interface in electronic communication with the one or more electronic devices; a memory that stores instructions; and a processor responsive to the instructions to determine an ordered sequence of topical recommendations based on one or more properties of the displayed set of user comments and user characteristics using a sequential recommendation model; sample one or more user comments for each of the topical recommendations to produce a set of one or more user comments for each of the topical recommendations; append the one or more user comments for each of the topical recommendations to the displayed set of user comments; and update the sequential recommendation model based on a user response to the one or more user comments for each of the topical recommendations. | 17. A system for providing a structured topic drift for a displayed set of user comments on an article, the system comprising: one or more electronic devices; a communication interface in electronic communication with the one or more electronic devices; a memory that stores instructions; and a processor responsive to the instructions to determine an ordered sequence of topical recommendations based on one or more properties of the displayed set of user comments and user characteristics using a sequential recommendation model; sample one or more user comments for each of the topical recommendations to produce a set of one or more user comments for each of the topical recommendations; append the one or more user comments for each of the topical recommendations to the displayed set of user comments; and update the sequential recommendation model based on a user response to the one or more user comments for each of the topical recommendations. 20. The system as claimed in claim 17 , wherein the processor is further responsive to instructions to determine one or more features associated with the structured topic drift using a prediction function in the sequential recommendation model; determine, using the sequential recommendation model, an initial internal state based on the one or more features, wherein the initial internal state is used to determine the ordered sequence of topical recommendations. | 0.80154 |
8,793,593 | 19 | 24 | 19. A method comprising: storing at a social networking system a social graph comprising a plurality of graph objects interconnected by graph actions, the graph actions having graph action types defined by entities external to, and independent from, the social networking system, where each of the graph actions represent a relationship between two or more graph objects and each of the graph action types define the relationship between the two or more graph objects; providing a music listening interface for display to a second user, the music listening interface including a link associated with a graph action being performed by a first user upon a graph object on an external system; receiving from the second user a selection of the link associated with the graph action being performed by the first user upon the graph object on the external system; responsive to the selection of the link, sending a request to the external system for the second user to perform the graph action being performed by the first user upon the graph object on the external system; and enabling a collaborative music listening interaction with the external system, the collaborative music listening interaction including the first user and the second user synchronously performing the graph action on the graph object; and updating the social graph based on the graph action performed, where the graph action is of a graph action type that was defined by one of the entities external to the social networking system. | 19. A method comprising: storing at a social networking system a social graph comprising a plurality of graph objects interconnected by graph actions, the graph actions having graph action types defined by entities external to, and independent from, the social networking system, where each of the graph actions represent a relationship between two or more graph objects and each of the graph action types define the relationship between the two or more graph objects; providing a music listening interface for display to a second user, the music listening interface including a link associated with a graph action being performed by a first user upon a graph object on an external system; receiving from the second user a selection of the link associated with the graph action being performed by the first user upon the graph object on the external system; responsive to the selection of the link, sending a request to the external system for the second user to perform the graph action being performed by the first user upon the graph object on the external system; and enabling a collaborative music listening interaction with the external system, the collaborative music listening interaction including the first user and the second user synchronously performing the graph action on the graph object; and updating the social graph based on the graph action performed, where the graph action is of a graph action type that was defined by one of the entities external to the social networking system. 24. The method of claim 19 , wherein providing the music listening interface further comprises: providing a link associated with the first user, the link associated with the first user providing a pop up window including information about the graph action being performed by the first user on the external system as the second user generates a user input over the link associated with the first user. | 0.859944 |
9,547,678 | 1 | 14 | 1. An activity recognition system comprising: an activity database configured to store similarity scoring techniques for known activity graphs, each of the similarity scoring techniques being associated with activity ingestion metadata; and an activity recognition device coupled with the activity database and configured to: generate a plurality of temporal features from a digital representation of an observed activity using a feature detection algorithm; establish an observed activity graph comprising one or more clusters of temporal features generated from the digital representation, wherein each one of the one or more clusters of temporal features defines a node of the observed activity graph; select at least one contextually relevant scoring technique from the similarity scoring techniques for known activity graphs, the at least one contextually relevant scoring technique being associated with activity ingestion metadata that satisfies device context criteria defined based on device contextual attributes of the digital representation; and calculate a similarity activity score for the observed activity graph as a function of the at least one contextually relevant scoring technique, the similarity activity score being relative to at least one known activity graph. | 1. An activity recognition system comprising: an activity database configured to store similarity scoring techniques for known activity graphs, each of the similarity scoring techniques being associated with activity ingestion metadata; and an activity recognition device coupled with the activity database and configured to: generate a plurality of temporal features from a digital representation of an observed activity using a feature detection algorithm; establish an observed activity graph comprising one or more clusters of temporal features generated from the digital representation, wherein each one of the one or more clusters of temporal features defines a node of the observed activity graph; select at least one contextually relevant scoring technique from the similarity scoring techniques for known activity graphs, the at least one contextually relevant scoring technique being associated with activity ingestion metadata that satisfies device context criteria defined based on device contextual attributes of the digital representation; and calculate a similarity activity score for the observed activity graph as a function of the at least one contextually relevant scoring technique, the similarity activity score being relative to at least one known activity graph. 14. The system of claim 1 , wherein the known activity graphs comprise activity graph primitives. | 0.925841 |
8,676,800 | 2 | 3 | 2. The method defined by claim 1 including a prestep of preprocessing the plurality of data items to extract one or more derived attributes from the plurality of data items thereby reducing data complexity. | 2. The method defined by claim 1 including a prestep of preprocessing the plurality of data items to extract one or more derived attributes from the plurality of data items thereby reducing data complexity. 3. The method defined by claim 2 wherein the preprocessing of data occurs in iterations such that one or more derived attributes are extracted from derived attributes constructed in earlier iterations. | 0.948724 |
9,031,980 | 13 | 16 | 13. The method of claim 9 , further comprising: analyzing the second database to find a third query in the query list; and reporting the third query to the user, wherein the reporting is based upon the analyzing of the second database to find the third query. | 13. The method of claim 9 , further comprising: analyzing the second database to find a third query in the query list; and reporting the third query to the user, wherein the reporting is based upon the analyzing of the second database to find the third query. 16. The method of claim 13 , wherein the second query locks a portion of the first database and the third query is a victim of the second query. | 0.915986 |
Subsets and Splits
No saved queries yet
Save your SQL queries to embed, download, and access them later. Queries will appear here once saved.