sentence1
stringlengths 40
15.9k
| sentence2
stringlengths 88
20k
| label
float64 0.5
0.99
|
|---|---|---|
10. The circuit of claim 9 , wherein the first predistorter model comprises a set of polynomial basis functions. | 10. The circuit of claim 9 , wherein the first predistorter model comprises a set of polynomial basis functions. 11. The circuit of claim 10 , wherein the set of polynomial basis functions is a set of orthogonal basis functions. | 0.923761 |
20. One or more storage devices containing program instructions that are executable by a processor, the one or more storage devices comprising: one or more instructions to receive a search query; one or more instructions to identify links to a plurality of documents related to the search query, each of the documents having an associated relevance score; one or more instructions to rank the identified links, where the ranking is based, at least in part, on parameters other than the relevance scores; one or more instructions to identify that the ranked identified links include a link to a particular one of the plurality of documents when: a click through rate associated with the particular one of the plurality of documents is greater, by at least a threshold amount, than click through rates associated with all other documents in the plurality of documents, and the relevance score associated with the particular one of the plurality of documents is higher, by at least a threshold amount, than the relevance scores associated with all other documents in the plurality of documents; one or more instructions to associate a graphic rendering with the identified link to the particular one of the plurality of documents, when the ranked identified links include the link to the particular one of the plurality of documents; and one or more instructions to provide the ranked identified links for display, where the associated graphic rendering is provided visually together with the link to the particular one of the plurality of documents. | 20. One or more storage devices containing program instructions that are executable by a processor, the one or more storage devices comprising: one or more instructions to receive a search query; one or more instructions to identify links to a plurality of documents related to the search query, each of the documents having an associated relevance score; one or more instructions to rank the identified links, where the ranking is based, at least in part, on parameters other than the relevance scores; one or more instructions to identify that the ranked identified links include a link to a particular one of the plurality of documents when: a click through rate associated with the particular one of the plurality of documents is greater, by at least a threshold amount, than click through rates associated with all other documents in the plurality of documents, and the relevance score associated with the particular one of the plurality of documents is higher, by at least a threshold amount, than the relevance scores associated with all other documents in the plurality of documents; one or more instructions to associate a graphic rendering with the identified link to the particular one of the plurality of documents, when the ranked identified links include the link to the particular one of the plurality of documents; and one or more instructions to provide the ranked identified links for display, where the associated graphic rendering is provided visually together with the link to the particular one of the plurality of documents. 23. The one or more storage devices of claim 20 , where the one or more instructions to identify that the ranked identified links include a link to a particular one of the plurality of documents when, additionally, the link to the particular one of the plurality of documents is ranked first in the ranked identified links. | 0.542903 |
30. The system of claim 26 , wherein the feature availability computing module obtains data related to the number of headnote sentences and non headnotes for a specific feature value of each of the predetermined features. | 30. The system of claim 26 , wherein the feature availability computing module obtains data related to the number of headnote sentences and non headnotes for a specific feature value of each of the predetermined features. 31. The system of claim 30 , wherein the feature graph generating module computes probability value for a specific feature value of each of the predetermined features using the obtained data. | 0.938462 |
2. The computer-implemented method of claim 1 , wherein the dictionary and the associated references for the one document are created by concatenating the one or more of the plurality of hyperlinks of the one document together and identifying unique portions of the concatenated hyperlinks with a single-pass through the concatenated hyperlinks. | 2. The computer-implemented method of claim 1 , wherein the dictionary and the associated references for the one document are created by concatenating the one or more of the plurality of hyperlinks of the one document together and identifying unique portions of the concatenated hyperlinks with a single-pass through the concatenated hyperlinks. 3. The computer-implemented method of claim 2 , wherein the dictionary and associated references are created using at least two, and fewer than all, of the plurality of hyperlinks of the one document concatenated together. | 0.875137 |
1. At least one computer-storage device storing computer-executable instructions for performing a method for providing alternative market search results, the method comprising: receiving a user search query in a first market; identifying search results relevant to the user search query by applying a first search algorithm associated with the first market that identifies relevant search results for the first market in a first language; determining a user intent to receive search results for the user search query for a second market; and providing a first search results page including: a) a first plurality of the search results determined to be relevant to the user search query for the first market, the plurality of search results being in the first language, b) a search results page headings in the first language, and c) a search results toggle that includes a user-selectable option to present alternative search results for the second market; upon selection by the user to present alternative search results for the second market, determining alternative search results for the second market in a second language by applying a second search algorithm associated with the second market that identifies relevant search results for the second market in the second language, wherein the second market associated with the second language is different from the first market associated with the first language; in a second search results page, retaining the headings in the first language and replacing the first plurality of search results with a second plurality of search results, wherein the second plurality of search results are the alternative search results identified for the second market in the second language, the second plurality of search results retrieved by using the second search algorithm associated with the second market; presenting the second search results page with the second plurality of search results to the user. | 1. At least one computer-storage device storing computer-executable instructions for performing a method for providing alternative market search results, the method comprising: receiving a user search query in a first market; identifying search results relevant to the user search query by applying a first search algorithm associated with the first market that identifies relevant search results for the first market in a first language; determining a user intent to receive search results for the user search query for a second market; and providing a first search results page including: a) a first plurality of the search results determined to be relevant to the user search query for the first market, the plurality of search results being in the first language, b) a search results page headings in the first language, and c) a search results toggle that includes a user-selectable option to present alternative search results for the second market; upon selection by the user to present alternative search results for the second market, determining alternative search results for the second market in a second language by applying a second search algorithm associated with the second market that identifies relevant search results for the second market in the second language, wherein the second market associated with the second language is different from the first market associated with the first language; in a second search results page, retaining the headings in the first language and replacing the first plurality of search results with a second plurality of search results, wherein the second plurality of search results are the alternative search results identified for the second market in the second language, the second plurality of search results retrieved by using the second search algorithm associated with the second market; presenting the second search results page with the second plurality of search results to the user. 5. The device of claim 1 , wherein the second language is English. | 0.552039 |
1. A device implementable in a web site design program, said device comprising: a component based version comparer to compare at least two versions of a website, said at least two versions having components in a set of hierarchies, wherein said components are at least one of a visual component, a container and a non-visual site element, and to generate a difference tree representing the differences in said components between said at least two versions of the same website, wherein said version comparer preprocesses said components in each single version of said at least two versions of said website to determine at least one of internal geometric, semantic, content and attribute relationships before comparing said components and said relationships between said at least two versions of said website using at least one of semantic, geometrical, content and attribute analysis; and wherein said hierarchies and said difference tree are trees and wherein said trees comprise nodes representing said components, said components having attributes; and wherein said component based version comparer comprises: a structural version comparer to compare nodes of said at least two versions of said website through comparison of their geometrical, content and semantic relationships; an order based version comparer to compare said nodes of said at least two versions of said website based on the order of said nodes and to pre-match said nodes according to an internal said website design system identifier; a semantic matching comparer to perform semantic classification on said nodes of said at least two versions of said website and match them according to their semantic classes and geometrical parameters; a comparison selector and coordinator to provide selection and coordination between said structural version comparer, said order based version comparer and said semantic matching comparer based on at least one of the structure and attributes of said components; a difference tree generator to generate said difference tree based on a combination of the results of said structural version comparer, said order based version comparer and said semantic matching comparer; a version merger to create an integrated version of said two versions of said website based on said difference tree; and a processor and a memory unit, said processor to activate said component based version comparer and said version merger. | 1. A device implementable in a web site design program, said device comprising: a component based version comparer to compare at least two versions of a website, said at least two versions having components in a set of hierarchies, wherein said components are at least one of a visual component, a container and a non-visual site element, and to generate a difference tree representing the differences in said components between said at least two versions of the same website, wherein said version comparer preprocesses said components in each single version of said at least two versions of said website to determine at least one of internal geometric, semantic, content and attribute relationships before comparing said components and said relationships between said at least two versions of said website using at least one of semantic, geometrical, content and attribute analysis; and wherein said hierarchies and said difference tree are trees and wherein said trees comprise nodes representing said components, said components having attributes; and wherein said component based version comparer comprises: a structural version comparer to compare nodes of said at least two versions of said website through comparison of their geometrical, content and semantic relationships; an order based version comparer to compare said nodes of said at least two versions of said website based on the order of said nodes and to pre-match said nodes according to an internal said website design system identifier; a semantic matching comparer to perform semantic classification on said nodes of said at least two versions of said website and match them according to their semantic classes and geometrical parameters; a comparison selector and coordinator to provide selection and coordination between said structural version comparer, said order based version comparer and said semantic matching comparer based on at least one of the structure and attributes of said components; a difference tree generator to generate said difference tree based on a combination of the results of said structural version comparer, said order based version comparer and said semantic matching comparer; a version merger to create an integrated version of said two versions of said website based on said difference tree; and a processor and a memory unit, said processor to activate said component based version comparer and said version merger. 16. The device of claim 1 wherein said geometrical relationship is at least one of overlap, intersection, proximity, relative position and relative size. | 0.579091 |
6. The method according to claim 4 , wherein the document outputting unit comprises a document outputting functional module, and step C comprises: step C1, submitting, by the system scheduling unit, the print documents that have been processed by the document processing unit to the document outputting functional module, and step C2, saving, by the document outputting functional module, the print documents that have been well processed to a specified storage location or submitting the same to a related external system. | 6. The method according to claim 4 , wherein the document outputting unit comprises a document outputting functional module, and step C comprises: step C1, submitting, by the system scheduling unit, the print documents that have been processed by the document processing unit to the document outputting functional module, and step C2, saving, by the document outputting functional module, the print documents that have been well processed to a specified storage location or submitting the same to a related external system. 7. The method according to claim 6 , wherein the contents of the print documents that have not yet been printed are checked by the document checking functional module comprise one or more of the following: document type checking, document size checking, color mode checking, image resolution checking, and typeface checking; and wherein the processing performed by the document processing functional module comprises one or more of the following: document type conversion, document size adjustment, color mode conversion, image resolution adjustment, and typeface processing. | 0.847653 |
10. A computer readable storage medium containing a program which, when executed, performs an operation for filtering search results returned for a search query based upon a word usage sense, wherein the search results include one or more documents, the operation comprising: identifying at least a first search term included in the search query; determining a plurality of word usage senses associated with the first search term; selecting a first word usage sense from the plurality of word usage senses associated with the first search term for use in filtering the search results; filtering the search results to include only documents in which the first search term is used in a word usage sense matching the selected first word usage sense, wherein at least one document in which the first search term is used in a different word usage sense is filtered out of the search results; and returning the set of filtered search results as the results for the search query. | 10. A computer readable storage medium containing a program which, when executed, performs an operation for filtering search results returned for a search query based upon a word usage sense, wherein the search results include one or more documents, the operation comprising: identifying at least a first search term included in the search query; determining a plurality of word usage senses associated with the first search term; selecting a first word usage sense from the plurality of word usage senses associated with the first search term for use in filtering the search results; filtering the search results to include only documents in which the first search term is used in a word usage sense matching the selected first word usage sense, wherein at least one document in which the first search term is used in a different word usage sense is filtered out of the search results; and returning the set of filtered search results as the results for the search query. 11. The computer readable storage medium of claim 10 , wherein selecting the first word usage sense from the plurality of word usage senses associated with the first search term, comprises: for each of the plurality of word usage senses: determining a plurality of lexical component scores by applying a plurality of lexical analysis techniques using a respective word usage sense and a context window of words surrounding the first search term, applying a weighting factor to each lexical component score, and adding the lexical component scores to determine a total score for a respective word usage sense; and selecting the word usage sense with a highest total score as the first word usage sense. | 0.509794 |
8. A method for applying a model for an interactive voice response system comprising: a) receiving a training data set at a first computing unit; b) splitting the training data sets along examples at the first computing device; c) splitting the split training data sets from a) along classes at the first computing device; d) separating the split training data sets from c) as a training set S into S subsets of equal size at the first computing device; e) distributing the S subsets in d) across a plurality of S processors, wherein one subset is distributed to one processor, each of the S processors being located within a different computing unit; f) for each of the plurality of S processors, determining all the classifiers of the distributed subset; g) merging results of the processing into a model at a second computing unit; h) outputting the model to cache operatively connected to the second computing unit; and i) applying the model to an interactive voice response system. | 8. A method for applying a model for an interactive voice response system comprising: a) receiving a training data set at a first computing unit; b) splitting the training data sets along examples at the first computing device; c) splitting the split training data sets from a) along classes at the first computing device; d) separating the split training data sets from c) as a training set S into S subsets of equal size at the first computing device; e) distributing the S subsets in d) across a plurality of S processors, wherein one subset is distributed to one processor, each of the S processors being located within a different computing unit; f) for each of the plurality of S processors, determining all the classifiers of the distributed subset; g) merging results of the processing into a model at a second computing unit; h) outputting the model to cache operatively connected to the second computing unit; and i) applying the model to an interactive voice response system. 9. The method of claim 8 , wherein the method further comprises determining if at least two training data in the training data set are identical, and merging identical data. | 0.534862 |
12. A computer-implemented method of reducing latency in the display of transcribed data generated by automatic speech recognition (ASR) process, the method comprising: transcribing via a processor a segment of speech data using a plurality of normalized ASR passes, said plurality of normalized ASR passes having varying levels of accuracy and speed, wherein a second normalized ASR pass estimates a gender and a vocal tract of a speaker based on audio and a first transcription data obtained prior to the transcribing using the plurality of normalized ASR passes; incrementally updating a display of transcribed text as more accurate text is generated by one of said plurality of normalized ASR passes; displaying an indicator that communicates a relative accuracy of words in said displayed text; and displaying with transcription data an indication of how many additional transcription passes are forthcoming that will update the transcription data. | 12. A computer-implemented method of reducing latency in the display of transcribed data generated by automatic speech recognition (ASR) process, the method comprising: transcribing via a processor a segment of speech data using a plurality of normalized ASR passes, said plurality of normalized ASR passes having varying levels of accuracy and speed, wherein a second normalized ASR pass estimates a gender and a vocal tract of a speaker based on audio and a first transcription data obtained prior to the transcribing using the plurality of normalized ASR passes; incrementally updating a display of transcribed text as more accurate text is generated by one of said plurality of normalized ASR passes; displaying an indicator that communicates a relative accuracy of words in said displayed text; and displaying with transcription data an indication of how many additional transcription passes are forthcoming that will update the transcription data. 15. The method of claim 12 , wherein said updating comprises updating an entire set of displayed text. | 0.667966 |
1. A method for automatically identifying voice tags on an electronic device configured to execute at least a voice interface program and a non-voice interface application program, the method comprising: receiving, through the voice interface program, a voice input command that includes a command element and a content element; identifying from the voice input command the command element; storing the command element in a buffer; ending the voice interface program without performing the voice input command; receiving, through the non-voice interface application program, a user input which identifies input command data for executing an application program command; and upon successful execution of the application program command: determining that the non-voice interface application program is associated with the command element which was buffered in the buffer, and identifying audio of at least the content element or the entire voice input command as a voice tag associated with the input command data identified by the user input. | 1. A method for automatically identifying voice tags on an electronic device configured to execute at least a voice interface program and a non-voice interface application program, the method comprising: receiving, through the voice interface program, a voice input command that includes a command element and a content element; identifying from the voice input command the command element; storing the command element in a buffer; ending the voice interface program without performing the voice input command; receiving, through the non-voice interface application program, a user input which identifies input command data for executing an application program command; and upon successful execution of the application program command: determining that the non-voice interface application program is associated with the command element which was buffered in the buffer, and identifying audio of at least the content element or the entire voice input command as a voice tag associated with the input command data identified by the user input. 10. The method as claimed in claim 1 , further comprising, after receiving the voice input command, storing the audio of the content element in a memory buffer. | 0.789267 |
14. One or more non-transitory computer-readable media comprising computer executable instructions that, when executed, cause at least one processor to perform actions comprising: obtaining a training corpus comprising speech data items, wherein each speech data item is labelled with a diagnosis value; obtaining speech recognition results for each speech data item using automatic speech recognition, wherein the speech recognition results for a speech data item comprise a transcription of the speech data item; computing a plurality of acoustic features for each speech data item in the training corpus, wherein the plurality of acoustic features is computed from the speech data item and wherein computation of the plurality of acoustic features does not use the speech recognition results of the speech data item; computing a plurality of language features for each speech data item in the training corpus by processing the speech recognition results; computing a feature selection score for each feature of the plurality of acoustic features and each feature of the plurality of language features, wherein: the feature selection score for a feature indicates a usefulness of the feature for detecting a medical condition, and the feature selection score is computed using, for each speech data item, a value of the feature and the diagnosis value corresponding to the speech data item; selecting a plurality of features from the plurality of acoustic features and the plurality of language features using the feature selection scores; training a mathematical model for detecting the medical condition using the selected plurality of features for each speech data item of the training corpus; deploying a computer program product or computer service for detecting the medical condition using the mathematical model; presenting, by the computer program product or computer service, a prompt to a person; receiving, by the computer program product or computer service, a speech data item corresponding to speech of a person in response to the prompt; computing a medical diagnosis score by processing the received speech data item using the mathematical model; and displaying, by the computer program product or computer service, one or more of the medical diagnosis score or a medical diagnosis based on the medical diagnosis score. | 14. One or more non-transitory computer-readable media comprising computer executable instructions that, when executed, cause at least one processor to perform actions comprising: obtaining a training corpus comprising speech data items, wherein each speech data item is labelled with a diagnosis value; obtaining speech recognition results for each speech data item using automatic speech recognition, wherein the speech recognition results for a speech data item comprise a transcription of the speech data item; computing a plurality of acoustic features for each speech data item in the training corpus, wherein the plurality of acoustic features is computed from the speech data item and wherein computation of the plurality of acoustic features does not use the speech recognition results of the speech data item; computing a plurality of language features for each speech data item in the training corpus by processing the speech recognition results; computing a feature selection score for each feature of the plurality of acoustic features and each feature of the plurality of language features, wherein: the feature selection score for a feature indicates a usefulness of the feature for detecting a medical condition, and the feature selection score is computed using, for each speech data item, a value of the feature and the diagnosis value corresponding to the speech data item; selecting a plurality of features from the plurality of acoustic features and the plurality of language features using the feature selection scores; training a mathematical model for detecting the medical condition using the selected plurality of features for each speech data item of the training corpus; deploying a computer program product or computer service for detecting the medical condition using the mathematical model; presenting, by the computer program product or computer service, a prompt to a person; receiving, by the computer program product or computer service, a speech data item corresponding to speech of a person in response to the prompt; computing a medical diagnosis score by processing the received speech data item using the mathematical model; and displaying, by the computer program product or computer service, one or more of the medical diagnosis score or a medical diagnosis based on the medical diagnosis score. 17. The one or more non-transitory computer-readable media of claim 14 , wherein the actions comprise: computing a stability determination for each feature of the plurality of acoustic features and the plurality of language features; and selecting the plurality of features using the stability determinations. | 0.606338 |
18. A system comprising: one or more computers and one or more storage devices storing instructions that are operable, when executed by one or more computers, cause the one or more computers to perform operations comprising: accessing a first resource belonging to a particular domain; selecting an anchor in the first resource linking to a second resource belonging to the particular domain to which the first resource belongs; identifying particular text content in the first resource that is subordinate to and proximate to the anchor; determining, by one or more computers, whether the second resource includes the particular text content that is subordinate to and proximate to the anchor in the first resource linking to the second resource belonging to the particular domain; in response to determining that the second resource includes the particular text content that is subordinate to and proximate to the anchor in the first resource linking to the second resource belonging to the particular domain, generating a domain template for the particular domain to which the first resource and the second resource belong and that specifies, a location of the particular text content in the second resource; determining one or more resources belonging to the particular domain that have a structure matching the domain template; determining, for each respective resource belonging to the particular domain having a structure matching the domain template, respective text content that is subordinate to the anchor for the respective resource; determining that a particular one of the respective resources is responsive to a search query; and in response to determining that the particular one of the respective resources is responsive to a search query, providing the respective text content that is subordinate to the anchor for the respective resource in response to the search query in a form of a snippet for the particular one of the respective resources in a search results page. | 18. A system comprising: one or more computers and one or more storage devices storing instructions that are operable, when executed by one or more computers, cause the one or more computers to perform operations comprising: accessing a first resource belonging to a particular domain; selecting an anchor in the first resource linking to a second resource belonging to the particular domain to which the first resource belongs; identifying particular text content in the first resource that is subordinate to and proximate to the anchor; determining, by one or more computers, whether the second resource includes the particular text content that is subordinate to and proximate to the anchor in the first resource linking to the second resource belonging to the particular domain; in response to determining that the second resource includes the particular text content that is subordinate to and proximate to the anchor in the first resource linking to the second resource belonging to the particular domain, generating a domain template for the particular domain to which the first resource and the second resource belong and that specifies, a location of the particular text content in the second resource; determining one or more resources belonging to the particular domain that have a structure matching the domain template; determining, for each respective resource belonging to the particular domain having a structure matching the domain template, respective text content that is subordinate to the anchor for the respective resource; determining that a particular one of the respective resources is responsive to a search query; and in response to determining that the particular one of the respective resources is responsive to a search query, providing the respective text content that is subordinate to the anchor for the respective resource in response to the search query in a form of a snippet for the particular one of the respective resources in a search results page. 19. The system of claim 18 , wherein selecting an anchor in the first resource comprises identifying a source code pattern that includes a repeat of HTML elements in source code of the first resource. | 0.602912 |
1. An apparatus operating in a hardware and software environment for generating a visual display on a display screen, the visual display having a plurality of windows displayed on a desktop background, each of the plurality of windows being assigned to, and displaying screen information generated by, one of a plurality of application programs, the apparatus comprising: (a) a processor; (b) a storage attached to and under the control of the processor, the storage having a screen buffer for holding screen information; (c) means, coupled to the display screen, for visually displaying screen information held in the screen buffer on the display screen; (d) view object class information stored in the storage, the view object class information including a data structure for holding screen information for one of the plurality of windows, methods for storing screen information in the data structure and an object constructor method containing a virtual initialization method; (e) means for constructing a view system object in the storage for each of the plurality of application programs, each view system object including: a view hierarchy structure having a plurality of levels for holding at least one view object; and means for transferring screen information stored in view objects held in the view hierarchy structure to the screen buffer so that the screen information is displayed on the display screen; and (f) means for instantiating a view object from the view object class information by executing the object constructor method and, in turn, invoking the virtual initialization method of the view object to initialize the view object by inserting the view object into a view hierarchy structure of one view system object. | 1. An apparatus operating in a hardware and software environment for generating a visual display on a display screen, the visual display having a plurality of windows displayed on a desktop background, each of the plurality of windows being assigned to, and displaying screen information generated by, one of a plurality of application programs, the apparatus comprising: (a) a processor; (b) a storage attached to and under the control of the processor, the storage having a screen buffer for holding screen information; (c) means, coupled to the display screen, for visually displaying screen information held in the screen buffer on the display screen; (d) view object class information stored in the storage, the view object class information including a data structure for holding screen information for one of the plurality of windows, methods for storing screen information in the data structure and an object constructor method containing a virtual initialization method; (e) means for constructing a view system object in the storage for each of the plurality of application programs, each view system object including: a view hierarchy structure having a plurality of levels for holding at least one view object; and means for transferring screen information stored in view objects held in the view hierarchy structure to the screen buffer so that the screen information is displayed on the display screen; and (f) means for instantiating a view object from the view object class information by executing the object constructor method and, in turn, invoking the virtual initialization method of the view object to initialize the view object by inserting the view object into a view hierarchy structure of one view system object. 4. The apparatus as recited in claim 1, wherein the virtual initialization method comprises a method for inserting the view object into the view hierarchy structure of the one view system object at a level determined by the hardware and software environment. | 0.558566 |
15. A system for organizing information comprising: a data source storing data including organizational terms; a network connected to said data source; a portal connected to said network for retrieving the data from said data source and for categorizing the retrieved data, wherein said categorizing is based on said organizational terms. | 15. A system for organizing information comprising: a data source storing data including organizational terms; a network connected to said data source; a portal connected to said network for retrieving the data from said data source and for categorizing the retrieved data, wherein said categorizing is based on said organizational terms. 28. The system according to claim 15, wherein the organizational terms include at least one descriptor. | 0.655172 |
13. One or more non-transitory storage media storing instructions which, when executed by one or more computing devices, cause performance of: extracting first meta-attributes based on a first data set of entries and first attributes of said first data set of entries; extracting second meta-attributes based on a second data set of entries and a second attributes of said first data set of entries; generating a first projection of the first data set of entries onto said first meta-attributes; generating a second projection of the second data set of entries onto said second meta-attributes; based on said first projection, said second projection, and data representing a relationship between said first data set of entries and said second data set of entries, generating data representing a relationship between said first meta-attributes and said second meta-attributes; and generating data representing a relationship between a third data set of entries and a fourth data set of entries, wherein generating data representing a relationship between a third data set of entries and a fourth data set of entries is based on: a third projection of said third data set of entries onto the first meta-attributes, a fourth projection of said fourth data set of entries onto the second meta-attributes, and said data representing said relationship between said first meta-attributes and second meta-attributes. | 13. One or more non-transitory storage media storing instructions which, when executed by one or more computing devices, cause performance of: extracting first meta-attributes based on a first data set of entries and first attributes of said first data set of entries; extracting second meta-attributes based on a second data set of entries and a second attributes of said first data set of entries; generating a first projection of the first data set of entries onto said first meta-attributes; generating a second projection of the second data set of entries onto said second meta-attributes; based on said first projection, said second projection, and data representing a relationship between said first data set of entries and said second data set of entries, generating data representing a relationship between said first meta-attributes and said second meta-attributes; and generating data representing a relationship between a third data set of entries and a fourth data set of entries, wherein generating data representing a relationship between a third data set of entries and a fourth data set of entries is based on: a third projection of said third data set of entries onto the first meta-attributes, a fourth projection of said fourth data set of entries onto the second meta-attributes, and said data representing said relationship between said first meta-attributes and second meta-attributes. 16. The one or more non-transitory storage media of claim 13 , wherein at least one of generating a first projection and one of generating a second projection is performed using Principal Components Analysis, Independent Components Analysis, Matrix Decompositions, Vector Quantization, Non-Negative Matrix Factorization, or k-means clustering, self-organizing maps clustering, or other clustering methods that provide a soft-clustering or probabilistic output. | 0.555128 |
1. A method for identifying patterns by means of a pattern registration means and a data processing means, wherein each pattern comprises at least one unknown stroke generated by relative movement between a pattern-forming means and a pattern-accommodating means of said pattern registration means, said pattern registration means being operative to generate first signal information represented by first signals, said first signal information being representative of stroke information about said unknown stroke, said data processing means being provided with prestored second signal information represented by second signals, said second signal information including templates corresponding to template strokes, said data processing means being operative to generate third signals representing third signal information in response to said first signals and said second signals, said third signal information comprising identity labels for use in developing coded information which identifies said patterns, said method comprising: defining templates from said second signal information wherein at least one of said templates is a confusion group template, each said confusion group template being derived from information about at least two of said template strokes; generating distance metric values representative of closeness of stroke shape between said first signal information and said second signal information for at least each one of said confusion group templates; and determining from said distance metric values which of said confusion group templates or which of said stroke templates yields the least of said distance metric values to obtain an identity label for said unknown stroke by ignoring decision criteria for distinguishing between selected template strokes whenever said selected template strokes are included in a common one of said confusion group templates. | 1. A method for identifying patterns by means of a pattern registration means and a data processing means, wherein each pattern comprises at least one unknown stroke generated by relative movement between a pattern-forming means and a pattern-accommodating means of said pattern registration means, said pattern registration means being operative to generate first signal information represented by first signals, said first signal information being representative of stroke information about said unknown stroke, said data processing means being provided with prestored second signal information represented by second signals, said second signal information including templates corresponding to template strokes, said data processing means being operative to generate third signals representing third signal information in response to said first signals and said second signals, said third signal information comprising identity labels for use in developing coded information which identifies said patterns, said method comprising: defining templates from said second signal information wherein at least one of said templates is a confusion group template, each said confusion group template being derived from information about at least two of said template strokes; generating distance metric values representative of closeness of stroke shape between said first signal information and said second signal information for at least each one of said confusion group templates; and determining from said distance metric values which of said confusion group templates or which of said stroke templates yields the least of said distance metric values to obtain an identity label for said unknown stroke by ignoring decision criteria for distinguishing between selected template strokes whenever said selected template strokes are included in a common one of said confusion group templates. 6. The method according to claim 1 further including the step of assigning a confusion group label as said identity label for said unknown stroke. | 0.630312 |
13. A method of automatically sorting disaster and/or accident related news stories by their temporal characteristics using a computing system comprising: a) identifying a first news vent involving a disaster and/or accident related event; wherein said first news event is associated by the computing system with a plurality of corresponding event status states defined for a progress template for such first news event; wherein said event status states are associated by the computing system with content for the first news event which is distinctive to different temporal periods within said progress template; b) analyzing a first electronic document describing said first event with the computing system to identify first content snippets determinative of a first status state of said first news event relative to said event status states defined for said progress template; c) analyzing a second electronic document with second content snippets describing a second status state for said first news event with the computing system; and d) determining which of said first and second electronic documents contains content describing a more current status state of said first event by comparing said first status state to said second status state and generating an output with the computing system indicating which of said electronic documents describes the more current status state; wherein changes in corresponding content snippets relating to one of least property damage, loss of lives, injuries survivors and/or an absolute time of such first event are tracked between documents and used by the computing system to derive a relative temporal relationship between said first electronic document and second electronic document. | 13. A method of automatically sorting disaster and/or accident related news stories by their temporal characteristics using a computing system comprising: a) identifying a first news vent involving a disaster and/or accident related event; wherein said first news event is associated by the computing system with a plurality of corresponding event status states defined for a progress template for such first news event; wherein said event status states are associated by the computing system with content for the first news event which is distinctive to different temporal periods within said progress template; b) analyzing a first electronic document describing said first event with the computing system to identify first content snippets determinative of a first status state of said first news event relative to said event status states defined for said progress template; c) analyzing a second electronic document with second content snippets describing a second status state for said first news event with the computing system; and d) determining which of said first and second electronic documents contains content describing a more current status state of said first event by comparing said first status state to said second status state and generating an output with the computing system indicating which of said electronic documents describes the more current status state; wherein changes in corresponding content snippets relating to one of least property damage, loss of lives, injuries survivors and/or an absolute time of such first event are tracked between documents and used by the computing system to derive a relative temporal relationship between said first electronic document and second electronic document. 21. The method of claim 13 wherein subject/predicate pairs are tracked in said content snippets and weighted by the computing system in accordance with their temporal significance to determine said temporal related value. | 0.538231 |
4. A data retrieving method of retrieving data using a computer for satisfying a user request from data stored in a computer file, comprising the steps of: providing a definition table, and quantitatively defining in said table fuzzy terms designated by a user to each item to be retrieved in a form of percentage rates, setting a retrieving condition range for each of said terms and a distribution curve having a function associated therewith and representing a satisfaction data distribution within said retrieving condition range for each of said terms in said definition table; in response to an entry of a fuzzy term by a user for an item to be retrieved, analyzing a retrieving condition equation including said fuzzy term entered by a user while referring to said definition table, and converting said retrieving condition equation into a value-based retrieving condition equation using said definition table; retrieving data from said computer file in accordance with said value-based retrieving condition equation; calculating a satisfaction degree for each retrieved data from said retrieving step using a corresponding said distribution curve, and outputting a calculated said satisfaction degree; and narrowing said retrieved data from said retrieving step to obtain narrowed data representing a sub-set of said retrieved data, said narrowing step performing said narrowing using a same said value-based retrieving condition equation upon said retrieved data. | 4. A data retrieving method of retrieving data using a computer for satisfying a user request from data stored in a computer file, comprising the steps of: providing a definition table, and quantitatively defining in said table fuzzy terms designated by a user to each item to be retrieved in a form of percentage rates, setting a retrieving condition range for each of said terms and a distribution curve having a function associated therewith and representing a satisfaction data distribution within said retrieving condition range for each of said terms in said definition table; in response to an entry of a fuzzy term by a user for an item to be retrieved, analyzing a retrieving condition equation including said fuzzy term entered by a user while referring to said definition table, and converting said retrieving condition equation into a value-based retrieving condition equation using said definition table; retrieving data from said computer file in accordance with said value-based retrieving condition equation; calculating a satisfaction degree for each retrieved data from said retrieving step using a corresponding said distribution curve, and outputting a calculated said satisfaction degree; and narrowing said retrieved data from said retrieving step to obtain narrowed data representing a sub-set of said retrieved data, said narrowing step performing said narrowing using a same said value-based retrieving condition equation upon said retrieved data. 9. A data retrieving method according to claim 4, wherein said satisfaction degree for each of a plurality of items is checked to narrow a range of said retrieved data satisfying the retrieving condition. | 0.896569 |
1. A voice application creation and deployment system comprising: a voice application sewer to create and serve voice applications to clients over a communication network; at least one voice portal node coupled to the communication network, the portal node to facilitate client interaction with the voice applications; and an inference engine executable from the voice application server, wherein the inference engine is activated at one or more predetermined points of an ongoing voice interaction, wherein the inference engine is configured to determine whether an inference of client need can be performed, this determination being based on analysis of real-time client data related to the interaction during a pre-determined point in an active call flow of the served voice application and further based on analysis of historical data associated with client interaction, the inference engine further configured to determine which inference dialog is executed and inserted into the call flow if an inference is appropriate. | 1. A voice application creation and deployment system comprising: a voice application sewer to create and serve voice applications to clients over a communication network; at least one voice portal node coupled to the communication network, the portal node to facilitate client interaction with the voice applications; and an inference engine executable from the voice application server, wherein the inference engine is activated at one or more predetermined points of an ongoing voice interaction, wherein the inference engine is configured to determine whether an inference of client need can be performed, this determination being based on analysis of real-time client data related to the interaction during a pre-determined point in an active call flow of the served voice application and further based on analysis of historical data associated with client interaction, the inference engine further configured to determine which inference dialog is executed and inserted into the call flow if an inference is appropriate. 11. The system of claim 1 wherein the related data includes at least one of caller line identification, caller number identification, and caller history data. | 0.753106 |
15. A method of allowing a user to control a mobile communication facility compromising: providing an input facility of a mobile communication facility, the input facility allowing a user to begin to record speech on the mobile communication facility; upon user interaction with the input facility, recording speech presented by a user using a mobile communication facility resident capture facility, wherein the speech includes a command and a subject; transmitting speech and information currently displayed in the mobile communication facility from the mobile communication facility resident capture facility, wherein the speech presented by the user includes the command and the subject; transmitting contextual information not provided in the speech, wherein the contextual information includes usage history of the mobile communication facility, information from a user's favorites list, information about the user's address book or contact list, email content, or information currently displayed in by the mobile communication facility; receiving generated results utilizing a remote speech recognition facility using the at least one language model based at least in part on content of the recorded speech and the contextual information relating to the recording; receiving from the remote speech recognition facility a determination of at least one application to invoke on the mobile communication facility to perform an operation on the mobile communication facility based on the contextual information, the command, and the subject of the speech, wherein the operation includes an action defined by the command using parameters based on the subject; and automatically performing the action on the mobile communication facility using the determined at least one application. | 15. A method of allowing a user to control a mobile communication facility compromising: providing an input facility of a mobile communication facility, the input facility allowing a user to begin to record speech on the mobile communication facility; upon user interaction with the input facility, recording speech presented by a user using a mobile communication facility resident capture facility, wherein the speech includes a command and a subject; transmitting speech and information currently displayed in the mobile communication facility from the mobile communication facility resident capture facility, wherein the speech presented by the user includes the command and the subject; transmitting contextual information not provided in the speech, wherein the contextual information includes usage history of the mobile communication facility, information from a user's favorites list, information about the user's address book or contact list, email content, or information currently displayed in by the mobile communication facility; receiving generated results utilizing a remote speech recognition facility using the at least one language model based at least in part on content of the recorded speech and the contextual information relating to the recording; receiving from the remote speech recognition facility a determination of at least one application to invoke on the mobile communication facility to perform an operation on the mobile communication facility based on the contextual information, the command, and the subject of the speech, wherein the operation includes an action defined by the command using parameters based on the subject; and automatically performing the action on the mobile communication facility using the determined at least one application. 21. The method of claim 15 wherein the at least one of the plurality of functions of the mobile communication facility includes a navigation function including a playback mode. | 0.564725 |
1. A computer-implemented method for processing input text, the method comprising acts of: locating, within the input text, at least one portion of text corresponding to at least one section heading of a plurality of section headings associated with a report template; causing a display device to visually display at least one indicator for the at least one section heading to indicate that the at least one portion of text corresponding to the at least one section heading has been located in the input text; and using a computer to automatically generate a structured report according to the report template, the structured report having a plurality of sections, the plurality of sections comprising at least one section corresponding to the at least one section heading, the at least one section being populated with the at least one portion of text corresponding to the at least one section heading, wherein the act of causing the display device to visually display at least one indicator comprises causing the display device to display an indicator separate from the structured report. | 1. A computer-implemented method for processing input text, the method comprising acts of: locating, within the input text, at least one portion of text corresponding to at least one section heading of a plurality of section headings associated with a report template; causing a display device to visually display at least one indicator for the at least one section heading to indicate that the at least one portion of text corresponding to the at least one section heading has been located in the input text; and using a computer to automatically generate a structured report according to the report template, the structured report having a plurality of sections, the plurality of sections comprising at least one section corresponding to the at least one section heading, the at least one section being populated with the at least one portion of text corresponding to the at least one section heading, wherein the act of causing the display device to visually display at least one indicator comprises causing the display device to display an indicator separate from the structured report. 8. The computer-implemented method of claim 1 , wherein the act of causing the display device to visually display at least one indicator is performed prior to generating the structured report. | 0.730539 |
13. A system comprising: an image capture device to obtain an image including original text that stores the original text in memory; a text detection module to generate process capable text corresponding to the original text; and an output module to output an enhanced image including the image with the original text replaced with a text image of the process capable text, the text image being at least one of a larger font than the original text, output in a higher contrast ratio than the original text, or output in a text balloon overlaid over the image. | 13. A system comprising: an image capture device to obtain an image including original text that stores the original text in memory; a text detection module to generate process capable text corresponding to the original text; and an output module to output an enhanced image including the image with the original text replaced with a text image of the process capable text, the text image being at least one of a larger font than the original text, output in a higher contrast ratio than the original text, or output in a text balloon overlaid over the image. 18. The system as described in claim 13 , wherein the text image is a bitmap. | 0.652941 |
5. The method of claim 1 , further comprising grouping calls having matching call paths. | 5. The method of claim 1 , further comprising grouping calls having matching call paths. 6. The method of claim 5 , wherein indicating at least one call path further comprises indicating a group of calls according to a measure of the number of occurrences of the selected type of event within the call paths of the group of calls. | 0.889093 |
9. The system as set forth in claim 6 , wherein a majority of the set of competing adaptable predictive models are compared over a first time interval of current sensory data having a length, and only the matches within that majority are compared over a second time interval of current sensory data within the first time interval having a length that is shorter than the length of the first time interval. | 9. The system as set forth in claim 6 , wherein a majority of the set of competing adaptable predictive models are compared over a first time interval of current sensory data having a length, and only the matches within that majority are compared over a second time interval of current sensory data within the first time interval having a length that is shorter than the length of the first time interval. 10. The system as set forth in claim 9 , wherein the set of competing adaptable predictive models is compared over a cascade of time intervals of current sensory data having progressively shorter time intervals, wherein a number of the set of competing adaptable predictive models compared is progressively reduced. | 0.833631 |
1. A method of configuring a general purpose computer comprising: deriving a meta-model, the meta-model being independent of a particular software application, the derivation comprising identifying a subset of common structures and functions from a plurality of enterprise resource planning applications; deriving a plurality of software models from a specific enterprise resource planning application by executing at least one query on a repository associated with the specific enterprise resource planning application, wherein each of the plurality of software models is compliant with the meta-model by sharing the subset of common structures and functions; and deriving a customer specific software application from the specific enterprise resource planning application and the plurality of software models to enable interacting with the specific enterprise resource planning application using the plurality of software models. | 1. A method of configuring a general purpose computer comprising: deriving a meta-model, the meta-model being independent of a particular software application, the derivation comprising identifying a subset of common structures and functions from a plurality of enterprise resource planning applications; deriving a plurality of software models from a specific enterprise resource planning application by executing at least one query on a repository associated with the specific enterprise resource planning application, wherein each of the plurality of software models is compliant with the meta-model by sharing the subset of common structures and functions; and deriving a customer specific software application from the specific enterprise resource planning application and the plurality of software models to enable interacting with the specific enterprise resource planning application using the plurality of software models. 5. The method of claim 1 , wherein at least one of the plurality of enterprise resource planning applications comprises at least one module selected from a group consisting of: a manufacturing module, a supply chain management module, a financial module, a projects module, a human resource module, a customer relationship management module, and a data warehouse module. | 0.561785 |
1. A computer-implemented method comprising: analyzing a set of target part names into a head noun and any modifiers; identifying an expression from a set of desired maintenance expressions within a data record; identifying, with a processor, a candidate part name string including identifying a head noun that was identified during analysis of the set of target part names and that is within a window that is positioned within the data record based upon the expression; and separately matching the candidate part name string to respective ones of a plurality of target part names with each of a plurality of string matching techniques. | 1. A computer-implemented method comprising: analyzing a set of target part names into a head noun and any modifiers; identifying an expression from a set of desired maintenance expressions within a data record; identifying, with a processor, a candidate part name string including identifying a head noun that was identified during analysis of the set of target part names and that is within a window that is positioned within the data record based upon the expression; and separately matching the candidate part name string to respective ones of a plurality of target part names with each of a plurality of string matching techniques. 2. A method according to claim 1 wherein identifying the candidate part name string further comprises identifying a modifier. | 0.7086 |
11. An apparatus comprising: at least one processor; and a memory in communication with the at least one processor, the memory including non-transitory computer-readable code which, when executed, cause the at least one processor to at least: apply a saliency analysis and segmentation of selected regions in a selected video frame to determine segmented likely logo regions; process the segmented likely logo regions with feature matching using correlation to generate a first match, neural network classification using a convolutional neural network to generate a second match, and text recognition using character segmentation and string matching to generate a third match; and decide a most likely logo match by combining results from the first match, the second match, and the third match. | 11. An apparatus comprising: at least one processor; and a memory in communication with the at least one processor, the memory including non-transitory computer-readable code which, when executed, cause the at least one processor to at least: apply a saliency analysis and segmentation of selected regions in a selected video frame to determine segmented likely logo regions; process the segmented likely logo regions with feature matching using correlation to generate a first match, neural network classification using a convolutional neural network to generate a second match, and text recognition using character segmentation and string matching to generate a third match; and decide a most likely logo match by combining results from the first match, the second match, and the third match. 12. The apparatus of claim 11 , wherein the saliency analysis comprises: applying a discrete cosine transform (OCT) on the segmented likely logo regions of an image in a selected video frame to determine spectral saliency of each segmented likely logo region. | 0.57375 |
13. A computer implemented method comprising: receiving by a search engine, operating on a computing device, from a content searching or consuming application, a search expression having a first and a second proximally associated atomic sub-expression, the search engine and the content searching or consuming application being operated on one or more different or same computing devices; receiving content nominally associated with the search expression, or access information of the content, by the search engine; generating, by the search engine, one or more scores for one or more structures of the content indicative of relative relevance of the content or one or more portions of the content to the search expression, wherein the generating of a score for a structure is based at least in part on a distance function and a scoring function, wherein the structure have sub-structures structurally describing at least a portion of the content, and having content nodes and/or text strings, wherein the sub-structures are hierarchically organized with the one or more portions of the content in a sub-structure at a level respectively assigned one or more positions according to a geometry established for that level, wherein the distance function measures distances between sub-structures within the structure, and the scoring function is positionally sensitive, yielding different scores for different occurrence positions of either or both of the proximally associated first and second atomic sub-expressions in the sub-structures; and conditionally providing or not providing the content or one or more portions of the content, or access information of the content or one or more portions of the content, to the content searching or consuming application, by the search engine, based at least in part on the generated one or more scores; wherein the generating of a score for a structure further includes at each level, linearly iterating over one or more portions of the content at the level to capture potential of a portion to influence other portions of the level, and influence received by a portion from the other portions of the level. | 13. A computer implemented method comprising: receiving by a search engine, operating on a computing device, from a content searching or consuming application, a search expression having a first and a second proximally associated atomic sub-expression, the search engine and the content searching or consuming application being operated on one or more different or same computing devices; receiving content nominally associated with the search expression, or access information of the content, by the search engine; generating, by the search engine, one or more scores for one or more structures of the content indicative of relative relevance of the content or one or more portions of the content to the search expression, wherein the generating of a score for a structure is based at least in part on a distance function and a scoring function, wherein the structure have sub-structures structurally describing at least a portion of the content, and having content nodes and/or text strings, wherein the sub-structures are hierarchically organized with the one or more portions of the content in a sub-structure at a level respectively assigned one or more positions according to a geometry established for that level, wherein the distance function measures distances between sub-structures within the structure, and the scoring function is positionally sensitive, yielding different scores for different occurrence positions of either or both of the proximally associated first and second atomic sub-expressions in the sub-structures; and conditionally providing or not providing the content or one or more portions of the content, or access information of the content or one or more portions of the content, to the content searching or consuming application, by the search engine, based at least in part on the generated one or more scores; wherein the generating of a score for a structure further includes at each level, linearly iterating over one or more portions of the content at the level to capture potential of a portion to influence other portions of the level, and influence received by a portion from the other portions of the level. 15. The method of claim 13 , wherein the first and second atomic sub-expressions are proximally associated explicitly by a proximity operator. | 0.632586 |
1. A method for creating a dialog system, the method comprising: providing a framework for creating a multi-modal dialog application configurable to perform pipeline operations on dialog during a runtime mode in a server; including runtime media contained within a Runtime Application Package (RAP) and files of properties associated with the runtime media in the framework, the properties including runtime and non-runtime properties for the runtime media, the RAP supporting the multi-modal dialog application created; enabling customization of the RAP in the server accessible by a client via a computer network by enabling modification of the runtime media and the runtime and non-runtime properties of the runtime media via the computer network; and enabling activation of the RAP customized to specialize support of the multi-modal dialog application created. | 1. A method for creating a dialog system, the method comprising: providing a framework for creating a multi-modal dialog application configurable to perform pipeline operations on dialog during a runtime mode in a server; including runtime media contained within a Runtime Application Package (RAP) and files of properties associated with the runtime media in the framework, the properties including runtime and non-runtime properties for the runtime media, the RAP supporting the multi-modal dialog application created; enabling customization of the RAP in the server accessible by a client via a computer network by enabling modification of the runtime media and the runtime and non-runtime properties of the runtime media via the computer network; and enabling activation of the RAP customized to specialize support of the multi-modal dialog application created. 9. The method of claim 1 further comprising: enabling an activated RAP to be later reverted via the non-runtime properties to another version of the RAP while the multi-modal dialog application created is in service. | 0.638211 |
16. A computer program product comprising a computer readable storage medium comprising computer-readable code, the computer-readable code causing a computing system, in response to executing the computer-readable code, to perform the following: running an environment for designing operation of circuitry, the running the environment comprising performing at least the following for providing simulations and evaluations of one or more user-defined modules of circuitry comprising one or more pipeline stages in a pipeline: automatically generating a model of the pipeline by using a pipeline block diagram, where the model is generated in a high-level modeling language able to perform simulations of circuitry with the pipeline; automatically generating an interface between the one or more user-defined modules and the generated model of the pipeline, the interface comprising access to the pipeline, wherein the pipeline access allows the one or more user-defined modules to interact indirectly; performing evaluation of the one or more user-defined modules using the automatically generated model of the pipeline and the automatically generated interface; and directly connecting the user-defined modules to ports allowing the one or more user-defined modules to interact directly to replace the pipeline access between the one or more user-defined modules and the generated model of the pipeline. | 16. A computer program product comprising a computer readable storage medium comprising computer-readable code, the computer-readable code causing a computing system, in response to executing the computer-readable code, to perform the following: running an environment for designing operation of circuitry, the running the environment comprising performing at least the following for providing simulations and evaluations of one or more user-defined modules of circuitry comprising one or more pipeline stages in a pipeline: automatically generating a model of the pipeline by using a pipeline block diagram, where the model is generated in a high-level modeling language able to perform simulations of circuitry with the pipeline; automatically generating an interface between the one or more user-defined modules and the generated model of the pipeline, the interface comprising access to the pipeline, wherein the pipeline access allows the one or more user-defined modules to interact indirectly; performing evaluation of the one or more user-defined modules using the automatically generated model of the pipeline and the automatically generated interface; and directly connecting the user-defined modules to ports allowing the one or more user-defined modules to interact directly to replace the pipeline access between the one or more user-defined modules and the generated model of the pipeline. 17. The computer program product of claim 16 , wherein the automatically generating the model and the automatically generating the interface are for a simulation flow supported by the environment, and wherein in response to a request to create synthesized versions of the one or more user-defined modules the environment performs a synthesis flow wherein: automatically generating an interface further comprises synthesizing the interface at least by converting the set of access methods to the pipeline to a set of ports in a hardware description language; and performing simulations further comprises performing simulations on the one or more user-defined modules with workloads using the automatically generated model of the pipeline and the automatically generated model of the interface to determine one or more design evaluation metrics of the one or more user-defined modules. | 0.5 |
1. A recording medium storing a data structure, the data structure comprising: at least one text subtitle stream, each text subtitle stream including a style segment defining at least one region style and a plurality of presentation segments, each presentation segment containing at least one region of text and the region of text defined by one of the at least one region style, wherein the style segment includes palette information, and each presentation segment further contains a palette update flag which indicates whether to use the palette information defined in the style segment or to use new palette information defined in an associated presentation segment. | 1. A recording medium storing a data structure, the data structure comprising: at least one text subtitle stream, each text subtitle stream including a style segment defining at least one region style and a plurality of presentation segments, each presentation segment containing at least one region of text and the region of text defined by one of the at least one region style, wherein the style segment includes palette information, and each presentation segment further contains a palette update flag which indicates whether to use the palette information defined in the style segment or to use new palette information defined in an associated presentation segment. 5. The recording medium of claim 1 , wherein when the palette update flag indicates the use of the new palette information, a presentation time of the associated presentation segment is greater than or equal to a time required for reproducing at least two video frames. | 0.76523 |
4. One or more computer-storage media having computer-executable instructions embodied thereon that, when executed, perform a method for automatically organizing search results for a plurality for search queries according to task groups, the method comprising: aggregating a gallery of entities into a query class, wherein the gallery of entities corresponds to queries that share a common categorization; assigning a dictionary to the query class, wherein the dictionary comprises a list of terms that are drawn from one or more sources; identifying the task groups from the list of terms within the dictionary by utilizing a process comprising: (a) analyzing patterns of user search behavior, based on historical user click-through data, to select one or more terms from the list of terms that reflect popular user search intents; (b) ranking the one or more terms based on predetermined parameters to produce an ordering; and (c) based on the ordering, declaring a set of the one or more terms that are highest ranked in the task groups; and storing on the one or more computer-readable media the task groups in association with the query class; receiving a user-issued query comprised of search terms that map to an entity associated with the dictionary; incident to receiving the user-issued query, selecting the dictionary from a plurality of dictionaries and recognizing the task groups associated with the dictionary; gathering search results that are responsive to the query in conjunction with each of the task groups, respectively; and instructing a presentation device to render on the UT display the search results proximate to each of the task groups with which each of the search results corresponds, respectively. | 4. One or more computer-storage media having computer-executable instructions embodied thereon that, when executed, perform a method for automatically organizing search results for a plurality for search queries according to task groups, the method comprising: aggregating a gallery of entities into a query class, wherein the gallery of entities corresponds to queries that share a common categorization; assigning a dictionary to the query class, wherein the dictionary comprises a list of terms that are drawn from one or more sources; identifying the task groups from the list of terms within the dictionary by utilizing a process comprising: (a) analyzing patterns of user search behavior, based on historical user click-through data, to select one or more terms from the list of terms that reflect popular user search intents; (b) ranking the one or more terms based on predetermined parameters to produce an ordering; and (c) based on the ordering, declaring a set of the one or more terms that are highest ranked in the task groups; and storing on the one or more computer-readable media the task groups in association with the query class; receiving a user-issued query comprised of search terms that map to an entity associated with the dictionary; incident to receiving the user-issued query, selecting the dictionary from a plurality of dictionaries and recognizing the task groups associated with the dictionary; gathering search results that are responsive to the query in conjunction with each of the task groups, respectively; and instructing a presentation device to render on the UT display the search results proximate to each of the task groups with which each of the search results corresponds, respectively. 13. The one or more computer-storage media of claim 4 , wherein, precedent to assigning the dictionary to the query class, the method further comprises generating the dictionary by extracting the list of terms from at least one of structured data feeds or a source external to a search engine. | 0.600455 |
27. The computer readable medium according to claim 26 , wherein in the document call request accepting step, together with the document ID, a request of a method that designates information to be returned to the client apparatus is accepted, and wherein in the returning step, when the connection to the desired node specified by the document ID has been made in the connections making step, the information designated by the method is returned to the client apparatus making the document call request. | 27. The computer readable medium according to claim 26 , wherein in the document call request accepting step, together with the document ID, a request of a method that designates information to be returned to the client apparatus is accepted, and wherein in the returning step, when the connection to the desired node specified by the document ID has been made in the connections making step, the information designated by the method is returned to the client apparatus making the document call request. 29. The computer readable medium according to claim 27 , wherein in the document call request accepting step, as the request of the method, a request for a content element of the desired node specified by the document ID is accepted, and wherein in the returning step, when the request for the content element of the desired node specified by the document ID has been accepted in the document call request accepting step, the content element of the desired node specified by the document ID [is obtained and] is returned to the client apparatus making the document call request. | 0.867566 |
14. A computer accessible memory medium that stores program instructions for training a parametric universal nonlinear dynamic approximator of a nonlinear process, wherein the program instructions are executable by a processor to perform: identifying process inputs and outputs (I/O); determining an order for a parameterized dynamic model comprised in the parametric universal nonlinear dynamic approximator, wherein the order specifies the number of parameters for the parameterized dynamic model, and wherein the parameters of the parameterized dynamic model are not inputs or outputs of the nonlinear process; determining a structure for a nonlinear approximator comprised in the parametric universal nonlinear dynamic approximator for modeling dependencies of the parameters of the parameterized dynamic model upon operating conditions of the nonlinear process; collecting data for the identified process I/O; determining constraints on behavior of the parametric universal nonlinear dynamic approximator from prior knowledge, including one or more constraints for the nonlinear approximator for modeling dependencies of the one or more parameters of the parameterized dynamic model; formulating an optimization problem for training the nonlinear approximator; executing an optimization algorithm to train the nonlinear approximator subject to the determined constrains by solving the optimization problem, thereby determining the dependencies of the parameters of the parameterized dynamic model upon operating conditions of the process, wherein outputs of the nonlinear approximator are not outputs of the nonlinear process; verifying compliance of the parametric universal nonlinear dynamic approximator with the specified constraints; and storing the trained nonlinear approximator and the parameterized dynamic model, wherein the stored nonlinear approximator and the parameterized dynamic model compose a trained parametric universal nonlinear dynamic approximator; wherein the trained parametric universal nonlinear dynamic approximator is usable to optimize and control the nonlinear process. | 14. A computer accessible memory medium that stores program instructions for training a parametric universal nonlinear dynamic approximator of a nonlinear process, wherein the program instructions are executable by a processor to perform: identifying process inputs and outputs (I/O); determining an order for a parameterized dynamic model comprised in the parametric universal nonlinear dynamic approximator, wherein the order specifies the number of parameters for the parameterized dynamic model, and wherein the parameters of the parameterized dynamic model are not inputs or outputs of the nonlinear process; determining a structure for a nonlinear approximator comprised in the parametric universal nonlinear dynamic approximator for modeling dependencies of the parameters of the parameterized dynamic model upon operating conditions of the nonlinear process; collecting data for the identified process I/O; determining constraints on behavior of the parametric universal nonlinear dynamic approximator from prior knowledge, including one or more constraints for the nonlinear approximator for modeling dependencies of the one or more parameters of the parameterized dynamic model; formulating an optimization problem for training the nonlinear approximator; executing an optimization algorithm to train the nonlinear approximator subject to the determined constrains by solving the optimization problem, thereby determining the dependencies of the parameters of the parameterized dynamic model upon operating conditions of the process, wherein outputs of the nonlinear approximator are not outputs of the nonlinear process; verifying compliance of the parametric universal nonlinear dynamic approximator with the specified constraints; and storing the trained nonlinear approximator and the parameterized dynamic model, wherein the stored nonlinear approximator and the parameterized dynamic model compose a trained parametric universal nonlinear dynamic approximator; wherein the trained parametric universal nonlinear dynamic approximator is usable to optimize and control the nonlinear process. 19. The memory medium of claim 14 , wherein the program instructions are further executable to perform: coupling the parametric universal nonlinear dynamic approximator to the nonlinear process or a representation of the nonlinear process; and performing said collecting data, said determining constraints, said formulating an optimization problem, said executing an optimization algorithm, said verifying compliance, and said storing the trained nonlinear approximator and the parameterized dynamic model, in real time in an iterative manner to adaptively train the parametric universal nonlinear dynamic approximator. | 0.5 |
1. A thermostat for communicating with a remote maintenance server, said thermostat being configured to: receive and send network data from and to the remote maintenance server; receive and send remote controller data from and to a remote controller; receive and send appliance data from and to at least one appliance; and generate a request for appliance data from the at least one appliance to receive appliance data from the at least one appliance in response to the request for appliance data, wherein the at least one appliance corresponds to at least one of a heating, ventilation and air conditioning (HVAC) system, a domestic heating device, an air conditioning unit, a ventilation unit, or combinations thereof wherein the thermostat is further configured to store the appliance data over time and to predict an appliance error by comparing the stored appliance data over time with reference appliance data. | 1. A thermostat for communicating with a remote maintenance server, said thermostat being configured to: receive and send network data from and to the remote maintenance server; receive and send remote controller data from and to a remote controller; receive and send appliance data from and to at least one appliance; and generate a request for appliance data from the at least one appliance to receive appliance data from the at least one appliance in response to the request for appliance data, wherein the at least one appliance corresponds to at least one of a heating, ventilation and air conditioning (HVAC) system, a domestic heating device, an air conditioning unit, a ventilation unit, or combinations thereof wherein the thermostat is further configured to store the appliance data over time and to predict an appliance error by comparing the stored appliance data over time with reference appliance data. 25. The thermostat of claim 1 , wherein the thermostat is further configured to receive network data provided by a maintenance interface service for receiving and displaying network data from and to a maintenance person. | 0.618132 |
9. The method in accordance with claim 8 , at least one of the first set of query results comprising a table, and the second set of query results comprising a modified table. | 9. The method in accordance with claim 8 , at least one of the first set of query results comprising a table, and the second set of query results comprising a modified table. 12. The method in accordance with claim 9 , a modification causing the table to be modified to the modified table comprising: applying one or more filters to the table to form the modified table. | 0.965782 |
14. A method for managing communications across a plurality of identities, the method comprising: receiving, from a first user, a request to create a first account; using a processor to create, in response to one or more indications from the first user, a first profile and a second profile associated with the first account, wherein the first profile comprises a temporary profile that expires after a first length of time; receiving, from the first user, a plurality of messages, wherein the plurality of messages include a first message from the first user to a second user using the first profile, and a second message from the first user to a third user using the second profile; transmitting the plurality of messages from the first user, including by transmitting the first message to the second user using the first profile and the second message to the third user using the second profile; archiving the plurality of messages; determining that the first profile has expired after the first length of time and suspending the expired first profile for a second length of time before the expired first profile can be used by one of the second user, the third user, and a fourth user. | 14. A method for managing communications across a plurality of identities, the method comprising: receiving, from a first user, a request to create a first account; using a processor to create, in response to one or more indications from the first user, a first profile and a second profile associated with the first account, wherein the first profile comprises a temporary profile that expires after a first length of time; receiving, from the first user, a plurality of messages, wherein the plurality of messages include a first message from the first user to a second user using the first profile, and a second message from the first user to a third user using the second profile; transmitting the plurality of messages from the first user, including by transmitting the first message to the second user using the first profile and the second message to the third user using the second profile; archiving the plurality of messages; determining that the first profile has expired after the first length of time and suspending the expired first profile for a second length of time before the expired first profile can be used by one of the second user, the third user, and a fourth user. 25. The method of claim 14 , further comprising responding to a request from the first user to retrieve one or more archived messages. | 0.592568 |
7. A multi-language communication method for making an announcement, under centralized control, concurrently in at least one of a plurality of selectable languages to a plurality of persons, each person having a respective electronically identifiable physical location relative to other of said plurality of persons in a common venue, comprising: providing to each of said persons in said common venue electronic access to a plurality of language options from said centralized control; receiving under said centralized control from each of one or more of said persons in said common venue an electronic indication of a respective choice of language chosen by said respective person from said language options; electronically making said announcement in the form of a public announcement over a public address system in said common venue in a principal language which is a default language of the common venue; and electronically making said announcement available under said centralized control to each person in said common venue who has indicated a language choice in the form of a personal announcement over a respective personal address system in said respective language choice at said respective electronically identifiable physical location in said common venue; whereby a respective person who has chosen a language can access said personal announcement in their respective language choice by means of their respective personal address system at a respective electronically identifiable physical location at least one announcement being on the basis of a real time translation into said respective language of choice. | 7. A multi-language communication method for making an announcement, under centralized control, concurrently in at least one of a plurality of selectable languages to a plurality of persons, each person having a respective electronically identifiable physical location relative to other of said plurality of persons in a common venue, comprising: providing to each of said persons in said common venue electronic access to a plurality of language options from said centralized control; receiving under said centralized control from each of one or more of said persons in said common venue an electronic indication of a respective choice of language chosen by said respective person from said language options; electronically making said announcement in the form of a public announcement over a public address system in said common venue in a principal language which is a default language of the common venue; and electronically making said announcement available under said centralized control to each person in said common venue who has indicated a language choice in the form of a personal announcement over a respective personal address system in said respective language choice at said respective electronically identifiable physical location in said common venue; whereby a respective person who has chosen a language can access said personal announcement in their respective language choice by means of their respective personal address system at a respective electronically identifiable physical location at least one announcement being on the basis of a real time translation into said respective language of choice. 13. A method as claimed in claim 7 , wherein said announcement is a text announcement and said method includes translating said announcement by real-time computer translation into the respective language choice of a respective person to form said personal announcement, and making said personal announcement accessible by means of a display allocated to said respective person, whereby said respective person can read said personal announcement on said display. | 0.525146 |
3. The method of claim 2 wherein a first level classification pane is generated for each associated keyword. | 3. The method of claim 2 wherein a first level classification pane is generated for each associated keyword. 4. The method of claim 3 wherein the keyword is provided by a user. | 0.980187 |
1. A system, comprising: a set of one or more interfaces configured to receive, from a device operated by a user, input provided by the user comprising: a user identifier; and a credential comprising a plurality of separately parseable words; a set of one or more processors configured to: parse the credential into a set of constituent words; perform one or more of the following checks on the set of constituent words: that each of the constituent words in the set is present in a dictionary; that none of the constituent words in the set is a proper noun; that none of the constituent words in the set is present in a blacklist; that the credential includes at least a threshold number of constituent words; that each individual word in the set is of at least a first threshold length; that the set of constituent words are collectively of at least a second threshold length; that the set of constituent words have at least a threshold entropy; and that a measure of strength determined for the set of constituent words meets a minimum threshold; in response to determining that the set of constituent words satisfy the one or more checks, generate at least one of: a normalized credential at least in part by normalizing one or more of the set of constituent words, wherein normalizing comprises mapping the one or more constituent words to one or more equivalence classes, and wherein equivalence classes are defined such that deviations from constituent words will also be considered acceptable in the event that the deviations are provided by the user in a subsequent authentication process; and a set of acceptable variants of the normalized credential that will also be considered acceptable in the event that an acceptable variant in the set of acceptable variants is provided by the user in a subsequent authentication process, wherein generating the set of acceptable variants comprises determining a plurality of different combinations of subsets of the constituent words of the normalized credential; and store, in a credential set associated with the user identifier, a set of representations corresponding to at least some of the normalized credential and the set acceptable variants as stored enrolled credentials; and a memory coupled to the set of one or more processors and configured to provide the set of one or more processors with instructions. | 1. A system, comprising: a set of one or more interfaces configured to receive, from a device operated by a user, input provided by the user comprising: a user identifier; and a credential comprising a plurality of separately parseable words; a set of one or more processors configured to: parse the credential into a set of constituent words; perform one or more of the following checks on the set of constituent words: that each of the constituent words in the set is present in a dictionary; that none of the constituent words in the set is a proper noun; that none of the constituent words in the set is present in a blacklist; that the credential includes at least a threshold number of constituent words; that each individual word in the set is of at least a first threshold length; that the set of constituent words are collectively of at least a second threshold length; that the set of constituent words have at least a threshold entropy; and that a measure of strength determined for the set of constituent words meets a minimum threshold; in response to determining that the set of constituent words satisfy the one or more checks, generate at least one of: a normalized credential at least in part by normalizing one or more of the set of constituent words, wherein normalizing comprises mapping the one or more constituent words to one or more equivalence classes, and wherein equivalence classes are defined such that deviations from constituent words will also be considered acceptable in the event that the deviations are provided by the user in a subsequent authentication process; and a set of acceptable variants of the normalized credential that will also be considered acceptable in the event that an acceptable variant in the set of acceptable variants is provided by the user in a subsequent authentication process, wherein generating the set of acceptable variants comprises determining a plurality of different combinations of subsets of the constituent words of the normalized credential; and store, in a credential set associated with the user identifier, a set of representations corresponding to at least some of the normalized credential and the set acceptable variants as stored enrolled credentials; and a memory coupled to the set of one or more processors and configured to provide the set of one or more processors with instructions. 5. The system of claim 1 , wherein a deviation comprises a deviation from a particular form of a constituent word, including a tense, conjugation, or part of speech. | 0.576392 |
27. A computer-implemented method, comprising: at a computer system including one or more processors and memory storing one or more programs including a control application and a second application, the one or more processors executing the one or more programs to perform the operations of: retaining contextual information for a second application; receiving a notification from the second application that the retained contextual information is outdated; receiving, by the control application, an indication that a text manipulation event has occurred based on a keyboard input that modifies text in a user interface of the second application, wherein the keyboard input is generated based on input with a keyboard that includes keys with corresponding hit zones; sending, by the control application, a query to the second application to obtain updated contextual information established by the second application prior to the event, wherein the updated contextual information is based on internal state information for the second application that is not directly accessible by the control application, and the updated contextual information provides context to the text manipulation event that occurred at the location in the user interface of the second application; receiving the updated contextual information from the second application; and adjusting a size of the hit zone of one or more keys on the keyboard based on the updated contextual information providing context to the text manipulation event. | 27. A computer-implemented method, comprising: at a computer system including one or more processors and memory storing one or more programs including a control application and a second application, the one or more processors executing the one or more programs to perform the operations of: retaining contextual information for a second application; receiving a notification from the second application that the retained contextual information is outdated; receiving, by the control application, an indication that a text manipulation event has occurred based on a keyboard input that modifies text in a user interface of the second application, wherein the keyboard input is generated based on input with a keyboard that includes keys with corresponding hit zones; sending, by the control application, a query to the second application to obtain updated contextual information established by the second application prior to the event, wherein the updated contextual information is based on internal state information for the second application that is not directly accessible by the control application, and the updated contextual information provides context to the text manipulation event that occurred at the location in the user interface of the second application; receiving the updated contextual information from the second application; and adjusting a size of the hit zone of one or more keys on the keyboard based on the updated contextual information providing context to the text manipulation event. 41. The method of claim 27 , further comprising receiving, from the second application, notification at the control application that a selection of text in the second application has changed. | 0.574779 |
4. The apparatus of claim 1 , wherein the tag-type selection input includes a link tag option for defining a relationship between at least two entities. | 4. The apparatus of claim 1 , wherein the tag-type selection input includes a link tag option for defining a relationship between at least two entities. 5. The apparatus of claim 4 , wherein an entity of the at least two entities is an object or a property. | 0.948359 |
1. A document processor comprising: image information input means for inputting an electronic document described by a page description language and having a black-and-white image to be processed, the electronic document containing at least one control word that describes a black-and-white mark of the image; mark detecting means for detecting the at least one control word from the input electronic document; image portion designating means for designating a portion of the image based on the at least one detected control word; changing method determining means for determining a manner in which a visual characteristic of the designated portion of the image is to be altered; and image information generating means for generating a changed version of the electronic document by inserting at least one additional control word into the electronic document, wherein the visual characteristic of the designated portion of the image in the changed version of the electronic document is altered in accordance with the changing method determined by said changing method determining means. | 1. A document processor comprising: image information input means for inputting an electronic document described by a page description language and having a black-and-white image to be processed, the electronic document containing at least one control word that describes a black-and-white mark of the image; mark detecting means for detecting the at least one control word from the input electronic document; image portion designating means for designating a portion of the image based on the at least one detected control word; changing method determining means for determining a manner in which a visual characteristic of the designated portion of the image is to be altered; and image information generating means for generating a changed version of the electronic document by inserting at least one additional control word into the electronic document, wherein the visual characteristic of the designated portion of the image in the changed version of the electronic document is altered in accordance with the changing method determined by said changing method determining means. 2. A document processor according to claim 1, wherein said image information generating means also removes said detected at least one control word from said changed version of the electronic document. | 0.620108 |
1. A text-to-speech system comprising a processing circuitry coupled to a memory, the processing circuit being configured to: receive an input text which contains a peculiar expression representing an expression not used in normal expressions; identify a position of the peculiar expression in the input text based on a normalization rule in which the peculiar expression, a normal expression for expressing the peculiar expression in a normal form, a non-linguistic expression style of the peculiar expression representing a manner in which the peculiar expression is read aloud, and a first cost are associated with one another, so as to generate one or more normalized texts; calculate one or more combinations of one or more positions to which one or more normalization rules are to be applied; calculate a total of the first cost or first costs in the case of applying the normalization rules for each combination of the combinations; normalize the input text based on the normalization rules by using the combinations for which the total is smaller than a first threshold value; perform language processing with respect to each of the normalized texts, and select a single normalized text based on result of the language processing; generate a series of phonetic parameters representing phonetic expression of the single normalized text; modify a phonetic parameter in the normalized text corresponding to the peculiar expression in the input text based on a phonetic parameter modification method according to the normalization rule of the peculiar expression; and output a phonetic sound which is synthesized using the series of phonetic parameters including the modified phonetic parameter. | 1. A text-to-speech system comprising a processing circuitry coupled to a memory, the processing circuit being configured to: receive an input text which contains a peculiar expression representing an expression not used in normal expressions; identify a position of the peculiar expression in the input text based on a normalization rule in which the peculiar expression, a normal expression for expressing the peculiar expression in a normal form, a non-linguistic expression style of the peculiar expression representing a manner in which the peculiar expression is read aloud, and a first cost are associated with one another, so as to generate one or more normalized texts; calculate one or more combinations of one or more positions to which one or more normalization rules are to be applied; calculate a total of the first cost or first costs in the case of applying the normalization rules for each combination of the combinations; normalize the input text based on the normalization rules by using the combinations for which the total is smaller than a first threshold value; perform language processing with respect to each of the normalized texts, and select a single normalized text based on result of the language processing; generate a series of phonetic parameters representing phonetic expression of the single normalized text; modify a phonetic parameter in the normalized text corresponding to the peculiar expression in the input text based on a phonetic parameter modification method according to the normalization rule of the peculiar expression; and output a phonetic sound which is synthesized using the series of phonetic parameters including the modified phonetic parameter. 5. The system according to claim 1 , wherein the processing circuitry modifies the phonetic parameter so as to change length of each sound included in the phonetic sound output by the processing circuitry. | 0.740554 |
39. In a computer network comprising a host computer system and a plurality of computers associated with a plurality of participants having access to the host system over the network, a method for having at least some of the plurality of participants author and submit segment candidates to create a collaborative work over the computer network comprising the steps of providing segment instructions to the plurality of participants for authoring the segment candidates, receiving segment candidates prepared by at least some of the plurality of participants based on the segment instructions, receiving identifying information for each of the plurality of participants submitting a segment candidate, storing the segment candidates and identifying information in a database, distributing at least a subset of the submitted segment candidates to a voting audience over the computer network, receiving in stages from at least some of the voting audience votes for a favored segment candidate, selecting a winning segment candidate from the submitted segment candidates for inclusion in the collaborative work based on the votes, and repeating the steps of presenting segment instructions, submitting segment candidates, voting on the submitted segment candidates, and selecting a winning segment candidate to complete the collaborative work wherein each winning segment builds upon the previous segment to sequentially create the collaborative work, wherein a promo, which is only authored by the author of the submitted segment, and which constitutes a subset of the content of the submitted segment, is submitted with each submitted segment candidate, said promo being indicative of the content of the submitted segment candidate, wherein said promo is designed to generate interest amongst members of the voting audience to view the submitted segment in full, wherein said promo comprises an image or graphic, and a title, summary and excerpt, and wherein participation in said voting audience is open to the general public. | 39. In a computer network comprising a host computer system and a plurality of computers associated with a plurality of participants having access to the host system over the network, a method for having at least some of the plurality of participants author and submit segment candidates to create a collaborative work over the computer network comprising the steps of providing segment instructions to the plurality of participants for authoring the segment candidates, receiving segment candidates prepared by at least some of the plurality of participants based on the segment instructions, receiving identifying information for each of the plurality of participants submitting a segment candidate, storing the segment candidates and identifying information in a database, distributing at least a subset of the submitted segment candidates to a voting audience over the computer network, receiving in stages from at least some of the voting audience votes for a favored segment candidate, selecting a winning segment candidate from the submitted segment candidates for inclusion in the collaborative work based on the votes, and repeating the steps of presenting segment instructions, submitting segment candidates, voting on the submitted segment candidates, and selecting a winning segment candidate to complete the collaborative work wherein each winning segment builds upon the previous segment to sequentially create the collaborative work, wherein a promo, which is only authored by the author of the submitted segment, and which constitutes a subset of the content of the submitted segment, is submitted with each submitted segment candidate, said promo being indicative of the content of the submitted segment candidate, wherein said promo is designed to generate interest amongst members of the voting audience to view the submitted segment in full, wherein said promo comprises an image or graphic, and a title, summary and excerpt, and wherein participation in said voting audience is open to the general public. 40. The method according to claim 39 , further comprising the step of rendering an interface on the computers of the participants to allow the participants to at least one of submit segments and vote upon submitted segments. | 0.508091 |
1. A method for interacting with a user using an automated dialog system, comprising: generating and storing via a processor communicative goals based on a single communication received from the user, the communicative goals being related to all information needed from the user; generating a plurality of sentence plans based on the communicative goals and on a dialog history database comprising previously gathered dialogs and a present dialog to yield a plurality of generated sentence plans, wherein each sentence plan of the plurality of generated sentence plans comprises an unordered set of elementary speech acts encoding the communicative goals, each speech act assigned a canonical lexico-structural representation, and wherein each sentence plan of the plurality of sentence plans is a viable and potentially usable prompt in response to the single communication received from the user; ranking, independent of the user, the plurality of generated sentence plans to yield ranked sentence plans; and outputting at least one of the ranked sentence plans to yield an output sentence plan, wherein each needed communicative goal of the communicative goals are addressed by the output sentence plan. | 1. A method for interacting with a user using an automated dialog system, comprising: generating and storing via a processor communicative goals based on a single communication received from the user, the communicative goals being related to all information needed from the user; generating a plurality of sentence plans based on the communicative goals and on a dialog history database comprising previously gathered dialogs and a present dialog to yield a plurality of generated sentence plans, wherein each sentence plan of the plurality of generated sentence plans comprises an unordered set of elementary speech acts encoding the communicative goals, each speech act assigned a canonical lexico-structural representation, and wherein each sentence plan of the plurality of sentence plans is a viable and potentially usable prompt in response to the single communication received from the user; ranking, independent of the user, the plurality of generated sentence plans to yield ranked sentence plans; and outputting at least one of the ranked sentence plans to yield an output sentence plan, wherein each needed communicative goal of the communicative goals are addressed by the output sentence plan. 9. The method of claim 1 , wherein the communicative goals comprise confirming information previously obtained from the user. | 0.609677 |
1. A computer-implemented system for designing a configurable processor, the system comprising: hardware generation means for, based on a user-defined specification, generating a description of a hardware implementation of the processor; software generation means for, based on the user-defined specification, generating software development tools specific to the hardware implementation; and document generation means for generating documentation of an instruction set of the processor whose hardware implementation description and software development tools are generated by the hardware generation means and software means, respectively, based on the user-defined specification. | 1. A computer-implemented system for designing a configurable processor, the system comprising: hardware generation means for, based on a user-defined specification, generating a description of a hardware implementation of the processor; software generation means for, based on the user-defined specification, generating software development tools specific to the hardware implementation; and document generation means for generating documentation of an instruction set of the processor whose hardware implementation description and software development tools are generated by the hardware generation means and software means, respectively, based on the user-defined specification. 3. The system of claim 1 , wherein: the user-defined specification contains reference semantics of an instruction defined therein and a user-defined specification of at least one of a synopsis and a text description for the user-defined instruction; and the document generation means includes means for using the at least one of the synopsis and the text description to generate documentation of the processor instruction set. | 0.509927 |
2. The method as claimed in claim 1 , wherein determining the POS weightage comprises: assigning, by the issue identification system, a POS tag to each of one or more words in the one or more first sub-sequence patterns of the n-grams, to form a combination of the POS tags for each of the one or more first sub-sequence patterns; and assigning, by the issue identification system, a predefined weightage for the combination of the POS tags for each of the one or more first sub-sequence patterns. | 2. The method as claimed in claim 1 , wherein determining the POS weightage comprises: assigning, by the issue identification system, a POS tag to each of one or more words in the one or more first sub-sequence patterns of the n-grams, to form a combination of the POS tags for each of the one or more first sub-sequence patterns; and assigning, by the issue identification system, a predefined weightage for the combination of the POS tags for each of the one or more first sub-sequence patterns. 3. The method as claimed in claim 2 , wherein the predefined weightage is assigned based on a predefined priority associated with each of the one or more combinations of the POS tags. | 0.961905 |
7. A computer-implemented method for changing the display of one or more navigation controls on a user interface of an electronic document editor, comprising the steps of: changing a display image of the one or more navigation controls on the user interface in response to receiving a search term into a search term location of an electronic document editor, wherein changing the display image of the one or more navigation controls on the user interface comprises changing the color of the background of the display image of one or more search controls; assigning a second function to the one or more navigation controls while simultaneously discontinuing a first function of the one or more navigation controls, wherein the second function comprises navigating between successive hits resulting from a search executed on the received search term, wherein the second function comprises causing the user interface to display at least one of a preceding and a succeeding page of content in an electronic document; changing a display image of the one or more navigation controls on the user interface in response to conducting a search of the search term with the electronic document editor, wherein the display image of the one or more navigation controls is displayed on the user interface adjacent to the display image of one or more search controls; and changing the depiction of at least one icon associated with the one or more navigation controls by replacing a first depiction associated with a search result to a second depiction indicating that the one or more navigation controls currently support the second function, the second depiction corresponding to a function for performing, in the electronic document the search. | 7. A computer-implemented method for changing the display of one or more navigation controls on a user interface of an electronic document editor, comprising the steps of: changing a display image of the one or more navigation controls on the user interface in response to receiving a search term into a search term location of an electronic document editor, wherein changing the display image of the one or more navigation controls on the user interface comprises changing the color of the background of the display image of one or more search controls; assigning a second function to the one or more navigation controls while simultaneously discontinuing a first function of the one or more navigation controls, wherein the second function comprises navigating between successive hits resulting from a search executed on the received search term, wherein the second function comprises causing the user interface to display at least one of a preceding and a succeeding page of content in an electronic document; changing a display image of the one or more navigation controls on the user interface in response to conducting a search of the search term with the electronic document editor, wherein the display image of the one or more navigation controls is displayed on the user interface adjacent to the display image of one or more search controls; and changing the depiction of at least one icon associated with the one or more navigation controls by replacing a first depiction associated with a search result to a second depiction indicating that the one or more navigation controls currently support the second function, the second depiction corresponding to a function for performing, in the electronic document the search. 10. The method of claim 7 comprising the additional step of changing a display image of one or more additional controls on the user interface in response to changing the display of the one or more navigation controls, wherein the one or more additional controls are located adjacent to the one or more navigation controls. | 0.515922 |
17. A method according to claim 12 further comprising evaluating a plurality of read documents to determine whether surroundings in the plurality of read documents are constant with regard to at least one field in the stored template document, wherein this evaluation is considered in mapping a field of the template document to a region of a read document. | 17. A method according to claim 12 further comprising evaluating a plurality of read documents to determine whether surroundings in the plurality of read documents are constant with regard to at least one field in the stored template document, wherein this evaluation is considered in mapping a field of the template document to a region of a read document. 18. A method according to claim 17 wherein associating the stored template document with the read document includes executing a statistical evaluation associating a familiarity value with the at least one field in the stored template document, the familiarity value describing how well data of the read document corresponding to the at least one field could be read. | 0.859352 |
33. The computer-readable storage medium of claim 28 , wherein the binding specification further specifies that the data value be updated when the user interface property undergoes a UI change. | 33. The computer-readable storage medium of claim 28 , wherein the binding specification further specifies that the data value be updated when the user interface property undergoes a UI change. 34. The computer-readable storage medium of claim 33 , wherein the data value is updated asynchronously almost immediately after the UI change. | 0.934834 |
1. A method implemented by a data processing apparatus, the method comprising: receiving, by the data processing apparatus, a question from an asker in which the question is associated with one or more topics; selecting, by the data processing apparatus, a plurality of candidate answerers based at least partly on each candidate answerer's respective social relationship to the asker within a computer-implemented social network; determining, by the data processing apparatus, a respective wait time for each candidate answerer in the plurality of candidate answerers, where the respective wait time is based on one or more of a respective communication channel used by the candidate answerer and a historical responsiveness of the candidate answerer for the respective communication channel, wherein the respective communication channel comprising one of an instant message, an electronic mail, a blog post, and a short message service message; selecting, by the data processing apparatus, a first candidate answerer based on a ranking of the plurality of candidate answerers; sending, by the data processing apparatus, the question to the first candidate answerer of the plurality of candidate answerers through the respective communication channel of the first candidate answerer; determining, by the data processing apparatus, that the respective wait time of the first candidate answerer for a first answer from the first candidate answerer has expired without receiving the first answer, and in response: selecting a second candidate answerer based on the ranking of the plurality of candidate answerers, and sending the question to the second candidate answerer of the plurality of candidate answerers through the respective communication channel of the second candidate answerer; receiving, by the data processing apparatus, a second answer to the question from the second candidate answerer; and sending, by the data processing apparatus, the second answer to the asker and information that identifies the second answerer. | 1. A method implemented by a data processing apparatus, the method comprising: receiving, by the data processing apparatus, a question from an asker in which the question is associated with one or more topics; selecting, by the data processing apparatus, a plurality of candidate answerers based at least partly on each candidate answerer's respective social relationship to the asker within a computer-implemented social network; determining, by the data processing apparatus, a respective wait time for each candidate answerer in the plurality of candidate answerers, where the respective wait time is based on one or more of a respective communication channel used by the candidate answerer and a historical responsiveness of the candidate answerer for the respective communication channel, wherein the respective communication channel comprising one of an instant message, an electronic mail, a blog post, and a short message service message; selecting, by the data processing apparatus, a first candidate answerer based on a ranking of the plurality of candidate answerers; sending, by the data processing apparatus, the question to the first candidate answerer of the plurality of candidate answerers through the respective communication channel of the first candidate answerer; determining, by the data processing apparatus, that the respective wait time of the first candidate answerer for a first answer from the first candidate answerer has expired without receiving the first answer, and in response: selecting a second candidate answerer based on the ranking of the plurality of candidate answerers, and sending the question to the second candidate answerer of the plurality of candidate answerers through the respective communication channel of the second candidate answerer; receiving, by the data processing apparatus, a second answer to the question from the second candidate answerer; and sending, by the data processing apparatus, the second answer to the asker and information that identifies the second answerer. 4. The method of claim 1 , where sending the second answer to the asker further comprises: sending the second answer to the asker through a first communication channel; determining that the asker does not respond to the second answer within a predetermined amount of time; and after determining that the asker does not respond to the second answer, sending the second answer to the asker through a second communication channel. | 0.544579 |
11. A computing system comprising one or more processors and a non-transitory memory having a set of instructions stored thereon that, when executed by the one or more processors, causes the computing system to perform operations comprising: receiving, at a viewing application executing in a foreground at the computing device, a touch input from a user, the touch input comprising: (i) a first portion indicating a selection of a single selected word in a document in a source language, the document being displayed in the viewing application, wherein the viewing application is not configured for language translation; and (ii) a second portion following the first portion indicating a trigger command for obtaining a translation of the selected word from the source language to the target language; and in response to receiving the touch input: obtaining, by an operating system executing at the computing device, contextual information from at least a portion of a full screen capture of the document, wherein the full screen capture includes an entire viewable area of the computing device, wherein the portion of the full screen capture is associated with the selected word, and wherein the contextual information is indicative of a context of the selected word as it is used in the document; extracting contextual features of the selected word using the contextual information, each contextual feature being a machine-learned feature indicative of a use of the selected word, wherein the contextual features include both (i) one or more first words from at least the portion of the full screen capture and (ii) an image from at least the portion of the full screen capture, wherein the image does not include the one or more first words and the selected word; providing, from the operating system and to a different translation application, the selected word and its contextual information, wherein receipt of the selected word and its contextual information causes the translation application to obtain and output potential translated words to the operating system, wherein the translation application (i) is distinct from the viewing application, (ii) is launched by the operating system in a background at the computing device or is already executing in the background at the computing device, and (iii) is configured to obtaining the potential translated words using the selected word and its extracted contextual features; providing, from the operating system and to the viewing application, the potential translated words, each potential translated word being a potential translation of the selected word to a different target language that is preferred by the user; and displaying, by the viewing application, the potential translated words. | 11. A computing system comprising one or more processors and a non-transitory memory having a set of instructions stored thereon that, when executed by the one or more processors, causes the computing system to perform operations comprising: receiving, at a viewing application executing in a foreground at the computing device, a touch input from a user, the touch input comprising: (i) a first portion indicating a selection of a single selected word in a document in a source language, the document being displayed in the viewing application, wherein the viewing application is not configured for language translation; and (ii) a second portion following the first portion indicating a trigger command for obtaining a translation of the selected word from the source language to the target language; and in response to receiving the touch input: obtaining, by an operating system executing at the computing device, contextual information from at least a portion of a full screen capture of the document, wherein the full screen capture includes an entire viewable area of the computing device, wherein the portion of the full screen capture is associated with the selected word, and wherein the contextual information is indicative of a context of the selected word as it is used in the document; extracting contextual features of the selected word using the contextual information, each contextual feature being a machine-learned feature indicative of a use of the selected word, wherein the contextual features include both (i) one or more first words from at least the portion of the full screen capture and (ii) an image from at least the portion of the full screen capture, wherein the image does not include the one or more first words and the selected word; providing, from the operating system and to a different translation application, the selected word and its contextual information, wherein receipt of the selected word and its contextual information causes the translation application to obtain and output potential translated words to the operating system, wherein the translation application (i) is distinct from the viewing application, (ii) is launched by the operating system in a background at the computing device or is already executing in the background at the computing device, and (iii) is configured to obtaining the potential translated words using the selected word and its extracted contextual features; providing, from the operating system and to the viewing application, the potential translated words, each potential translated word being a potential translation of the selected word to a different target language that is preferred by the user; and displaying, by the viewing application, the potential translated words. 15. The computing system of claim 11 , wherein the second portion of the touch input is a slide input in a specific direction. | 0.538191 |
7. The automated shopping system of claim 6 , wherein the system sends an alarm indicating that a predetermined time period has lapsed without requisite action. | 7. The automated shopping system of claim 6 , wherein the system sends an alarm indicating that a predetermined time period has lapsed without requisite action. 8. The automated shopping system of claim 7 , wherein the alarm is sent to at least one individual recipient selected from the group consisting of the user, the provider, a third party, and an operator of the system, the alarm is classified as either a warning alarm or an urgent alarm, and the alarm is sent to the at least one individual recipient based on whether the respective at least one individual recipient has access to warning alarms or to urgent alarms. | 0.911743 |
3. The system of claim 1 , wherein the deep neural network is a deep neural network comprising a convolutional layer, one or more long-short term memory (LSTM) layers, and multiple hidden layers. | 3. The system of claim 1 , wherein the deep neural network is a deep neural network comprising a convolutional layer, one or more long-short term memory (LSTM) layers, and multiple hidden layers. 5. The system of claim 3 , wherein the deep neural network is configured such that output of convolutional layer is input to at least one of the one or more LSTM layers, and output of the one or more LSTM layers is input to at least one of the multiple hidden layers. | 0.897002 |
28. A non-transitory computer readable storage medium storing software that, upon execution by a processor, detects malware within a Portable Document Format (PDF) document, the non-transitory computer readable storage medium comprising: a parser that, when executed by the processor, examines one or more portions of the PDF document to determine if one or more suspicious characteristics indicative of malicious network content are included in the one or more examined portions of the PDF document, wherein the one or more examined portions of the PDF document comprise less than an entirety of the PDF document, and one or more virtual machines to receive the PDF document in response to the one or more examined portions of the PDF document being determined to include one or more suspicious characteristics indicative of malicious network content, the one or more virtual machines to process at least the one or more examined portions of the PDF document so as to determine whether the PDF document includes malicious network content. | 28. A non-transitory computer readable storage medium storing software that, upon execution by a processor, detects malware within a Portable Document Format (PDF) document, the non-transitory computer readable storage medium comprising: a parser that, when executed by the processor, examines one or more portions of the PDF document to determine if one or more suspicious characteristics indicative of malicious network content are included in the one or more examined portions of the PDF document, wherein the one or more examined portions of the PDF document comprise less than an entirety of the PDF document, and one or more virtual machines to receive the PDF document in response to the one or more examined portions of the PDF document being determined to include one or more suspicious characteristics indicative of malicious network content, the one or more virtual machines to process at least the one or more examined portions of the PDF document so as to determine whether the PDF document includes malicious network content. 39. The non-transitory computer readable storage medium of claim 28 , wherein the one or more examined portions of the PDF document comprises a body section and a header section of the PDF document. | 0.630634 |
17. The non-transitory computer-readable medium of claim 13 , wherein said outputted modified set of records comprise a concise and complete temporal history of all data records such that a history of said entity is retrievable via a standard XML manipulation language. | 17. The non-transitory computer-readable medium of claim 13 , wherein said outputted modified set of records comprise a concise and complete temporal history of all data records such that a history of said entity is retrievable via a standard XML manipulation language. 18. The non-transitory computer-readable medium of claim 17 , wherein said standard XML manipulation language is XPath. | 0.917523 |
1. A non-transitory computer-readable storage medium storing computer-executable instructions that, in response to execution, cause a device comprising a processor to perform operations, comprising: text mining metadata of a word combination that is at least one of a noun-verb combination or a verb-noun combination and that is associated with a video sample for the word combination; storing in the memory the at least one of the noun-verb combination or the verb-noun combination a video category label among a set of video category labels; and filtering the set of video category labels containing the at least one of the noun-verb combination or the verb-noun combination stored in the memory based upon a lexical hierarchy. | 1. A non-transitory computer-readable storage medium storing computer-executable instructions that, in response to execution, cause a device comprising a processor to perform operations, comprising: text mining metadata of a word combination that is at least one of a noun-verb combination or a verb-noun combination and that is associated with a video sample for the word combination; storing in the memory the at least one of the noun-verb combination or the verb-noun combination a video category label among a set of video category labels; and filtering the set of video category labels containing the at least one of the noun-verb combination or the verb-noun combination stored in the memory based upon a lexical hierarchy. 3. The non-transitory computer-readable storage medium of claim 1 , wherein the lexical hierarchy constrains a noun of the at least one of the noun-verb combination or the verb-noun combination to be within a hierarchy of physical entity. | 0.537554 |
7. A system comprising: one or more server devices to: receive a search query; obtain, for the search query, articles and respective scores; identify, using one or more processors, for an article, a source with which the score is associated; determine, using one or more processors, a score for the source, the score being based on polling one or more users to request the one or more users to provide a metric that represents an evaluation of a source and based on a length of time between an occurrence of an event and publication, by the source, of another article associated with the event; and adjust, using one or more processors, the score of the article based on the score for the source. | 7. A system comprising: one or more server devices to: receive a search query; obtain, for the search query, articles and respective scores; identify, using one or more processors, for an article, a source with which the score is associated; determine, using one or more processors, a score for the source, the score being based on polling one or more users to request the one or more users to provide a metric that represents an evaluation of a source and based on a length of time between an occurrence of an event and publication, by the source, of another article associated with the event; and adjust, using one or more processors, the score of the article based on the score for the source. 9. The system of claim 7 , where, when adjusting the score of the article, at least one of the one or more server devices is further to: determine, using the determined score for the source, a new score for the article associated with the source; and adjust the score of the article based on the determined new score. | 0.746686 |
17. The method of claim 16 , further comprising declaring a total point winner from the two or more users, said total point winner having the highest score based upon an addition of the total point winner's color fortune point score and path point score. | 17. The method of claim 16 , further comprising declaring a total point winner from the two or more users, said total point winner having the highest score based upon an addition of the total point winner's color fortune point score and path point score. 18. The method of claim 17 , further comprising declaring a color fortune point score winner from the two or more users, said color fortune point score winner having the highest color fortune point score. | 0.948995 |
11. A non-transitory computer-readable storage medium storing executable computer program instructions for enabling content discovery on a client device, the instructions performing steps comprising: providing, on the client device, a user interface (UI), the UI comprising: a concept bar presenting a user of the client device with a plurality of user-interactive concept tabs, the concept tabs associated with concepts currently relevant to a collaborative communication session involving the user and at least a second user using a second client device, each concept identified based on audio data corresponding to the collaborative communication session, wherein the concept tabs are arranged in an order indicating a relative importance of the concepts associated with the concept tabs to the user; and a content window separate from the concept bar and presenting the user of the client device with content relevant to the collaborative communication session selected responsive to the concept tabs presented by the concept bar, wherein the content presented by the content window is modified responsive to the user curating the content in the content window by interacting with the concept tabs, and wherein the presented content is selected from a set of content candidates associated with concept tabs presented by the concept bar such that a subset of highest ranked content candidates are selected for presentation. | 11. A non-transitory computer-readable storage medium storing executable computer program instructions for enabling content discovery on a client device, the instructions performing steps comprising: providing, on the client device, a user interface (UI), the UI comprising: a concept bar presenting a user of the client device with a plurality of user-interactive concept tabs, the concept tabs associated with concepts currently relevant to a collaborative communication session involving the user and at least a second user using a second client device, each concept identified based on audio data corresponding to the collaborative communication session, wherein the concept tabs are arranged in an order indicating a relative importance of the concepts associated with the concept tabs to the user; and a content window separate from the concept bar and presenting the user of the client device with content relevant to the collaborative communication session selected responsive to the concept tabs presented by the concept bar, wherein the content presented by the content window is modified responsive to the user curating the content in the content window by interacting with the concept tabs, and wherein the presented content is selected from a set of content candidates associated with concept tabs presented by the concept bar such that a subset of highest ranked content candidates are selected for presentation. 14. The computer-readable storage medium of claim 11 , wherein the provided UI further comprises: a user-selectable delete button for deleting a concept tab presented in the concept bar responsive to selection of the button by the user, wherein the content presented in the content window is adjusted responsive to the deleted concept tab. | 0.529081 |
1. A computer-implemented method comprising steps of: receiving a search query that includes a first spelling of a term; generating a second spelling of the term; accessing a first set of items that are associated with the first spelling of the term; accessing a second set of items that are associated with the second spelling of the term; performing a comparison between the first set to the second set at least in part by determining a degree to which items in the first set overlap with items in the second set; determining how to respond to the search query based, at least in part, on the comparison; determining a relative ranking of the items in the first set of items, indicating how strongly a particular item in the first set is associated with a user-provided spelling of the term as compared to the remainder of the items in the first set; determining a relative ranking of the items in the second set of items, indicating how strongly a particular item in the second set is associated with an alternative spelling of the term as compared to the remainder of the items in the second set; identifying a plurality of overlap items that are included in both the first set of items and the second set of items; increasing a degree to which the items in the first set correlate to items in the second set based on a determination that a first item in the plurality of overlap items has a relative ranking above a first threshold; and decreasing the degree to which the items in the first set correlate to items in the second set based on a determination that a second item in the plurality of overlap items has a relative ranking below a second threshold; wherein the steps are performed by one or more computing devices. | 1. A computer-implemented method comprising steps of: receiving a search query that includes a first spelling of a term; generating a second spelling of the term; accessing a first set of items that are associated with the first spelling of the term; accessing a second set of items that are associated with the second spelling of the term; performing a comparison between the first set to the second set at least in part by determining a degree to which items in the first set overlap with items in the second set; determining how to respond to the search query based, at least in part, on the comparison; determining a relative ranking of the items in the first set of items, indicating how strongly a particular item in the first set is associated with a user-provided spelling of the term as compared to the remainder of the items in the first set; determining a relative ranking of the items in the second set of items, indicating how strongly a particular item in the second set is associated with an alternative spelling of the term as compared to the remainder of the items in the second set; identifying a plurality of overlap items that are included in both the first set of items and the second set of items; increasing a degree to which the items in the first set correlate to items in the second set based on a determination that a first item in the plurality of overlap items has a relative ranking above a first threshold; and decreasing the degree to which the items in the first set correlate to items in the second set based on a determination that a second item in the plurality of overlap items has a relative ranking below a second threshold; wherein the steps are performed by one or more computing devices. 5. A method as recited in claim 1 , wherein determining how to respond includes determining that a response to the search query is to include first search results that are relevant to a search query that includes the second spelling of the term, but omits search results that are derived directly from the first spelling of the term. | 0.581452 |
11. A computer program product comprising: a computer readable non-transitory storage medium having computer readable program code embodied in the non-transitory storage medium that when executed by a processor of a computer system causes the computer system to perform operations comprising: generating a list of unique terms, each comprising prefix data and associated property data, contained in a defined web ontology language; receiving a resource descriptive framework (RDF) statement about a web resource; generating a list of unique terms, each comprising prefix data and associated property data, contained in the RDF statement; identifying a first problem term within the list of unique terms contained in the RDF statement that is not present among the list of unique terms contained in the defined web ontology language, the first problem term comprising an error in the RDF statement; generating a list of candidate terms contained in the defined web ontology that satisfy a threshold similarity to the first problem term; selecting a candidate term from among the list of candidate terms having a data type for the property data that matches a data type for the property data of the first problem term; and substituting the candidate term for each occurrence of the first problem term contained in the RDF statement. | 11. A computer program product comprising: a computer readable non-transitory storage medium having computer readable program code embodied in the non-transitory storage medium that when executed by a processor of a computer system causes the computer system to perform operations comprising: generating a list of unique terms, each comprising prefix data and associated property data, contained in a defined web ontology language; receiving a resource descriptive framework (RDF) statement about a web resource; generating a list of unique terms, each comprising prefix data and associated property data, contained in the RDF statement; identifying a first problem term within the list of unique terms contained in the RDF statement that is not present among the list of unique terms contained in the defined web ontology language, the first problem term comprising an error in the RDF statement; generating a list of candidate terms contained in the defined web ontology that satisfy a threshold similarity to the first problem term; selecting a candidate term from among the list of candidate terms having a data type for the property data that matches a data type for the property data of the first problem term; and substituting the candidate term for each occurrence of the first problem term contained in the RDF statement. 15. The computer program product of claim 11 , wherein receiving the RDF statement about the web resource, comprises: receiving from a networked computer a request message containing a uniform resource identifier (URI) of a web document; reading the RDF statement from the web document in memory; and performing the substituting the candidate term for each occurrence of the first problem term contained in the RDF statement; and the operations further comprise communicating the RDF statement following the substituting to the network computer as part of a response RDF message to the request message. | 0.551197 |
1. A post office for receiving and redistributing e-mail messages on a computer network, the post office comprising: a receipt mechanism that receives an e-mail message from a sender, the e-mail message having at least one specified recipient; a database of business rules, each business rule specifying an action for controlling the delivery of an e-mail message as a function of an attribute of the e-mail message; a rule engine coupled to receive an e-mail message from the receipt mechanism and coupled to the database to selectively apply the business rules to the e-mail message to determine from selected ones of the business rules a set of actions to be applied to the e-mail message; and a distribution mechanism coupled to receive the set of actions from the rule engine and apply at least one action thereof to the e-mail message to control delivery of the e-mail message and which in response to the rule engine applying an action of deferring delivery of the e-mail message, the distribution engine automatically combines the e-mail message with a new distribution list specifying at least one destination post office for receiving the e-mail message for review by an administrator associated with the destination post office, and a rule history specifying the business rules that were determined to be applicable to the e-mail message by at least one rule engine, and automatically delivers the e-mail message to a first destination post office on the distribution list instead of a specified recipient of the e-mail message. | 1. A post office for receiving and redistributing e-mail messages on a computer network, the post office comprising: a receipt mechanism that receives an e-mail message from a sender, the e-mail message having at least one specified recipient; a database of business rules, each business rule specifying an action for controlling the delivery of an e-mail message as a function of an attribute of the e-mail message; a rule engine coupled to receive an e-mail message from the receipt mechanism and coupled to the database to selectively apply the business rules to the e-mail message to determine from selected ones of the business rules a set of actions to be applied to the e-mail message; and a distribution mechanism coupled to receive the set of actions from the rule engine and apply at least one action thereof to the e-mail message to control delivery of the e-mail message and which in response to the rule engine applying an action of deferring delivery of the e-mail message, the distribution engine automatically combines the e-mail message with a new distribution list specifying at least one destination post office for receiving the e-mail message for review by an administrator associated with the destination post office, and a rule history specifying the business rules that were determined to be applicable to the e-mail message by at least one rule engine, and automatically delivers the e-mail message to a first destination post office on the distribution list instead of a specified recipient of the e-mail message. 7. The post office of claim 1, further comprising: a primary message store, coupled to the receipt engine, for receiving and non-persistently storing e-mail messages; and a secondary message store, coupled to the distribution engine, for receiving therefrom, and persistently storing an e-mail message in response to the rule engine specifying the action that the e-mail message be reviewed by an administrator recipient prior to delivery to a specified recipient. | 0.515715 |
10. The method according to claim 9 , wherein identifying the synonyms comprises: using the at least one association graph, calculating respective strengths of association of each of the identified synonyms with the plurality of keywords of the search query other than the one of the keywords of the search query corresponding to the identified synonym; and responsively to the calculated strengths of association, selecting as the suggested replacement keywords a portion of the identified synonyms including one or more of the identified synonyms. | 10. The method according to claim 9 , wherein identifying the synonyms comprises: using the at least one association graph, calculating respective strengths of association of each of the identified synonyms with the plurality of keywords of the search query other than the one of the keywords of the search query corresponding to the identified synonym; and responsively to the calculated strengths of association, selecting as the suggested replacement keywords a portion of the identified synonyms including one or more of the identified synonyms. 11. The method according to claim 10 , wherein calculating the respective strengths of association comprises calculating a strength of association of at least two of the identified synonyms with the plurality of keywords of the search query other than the at least two of the keywords of the search query respectively synonymous with the identified synonyms. | 0.757528 |
20. The system of claim 17 , wherein the object interacts with the body of text on the display. | 20. The system of claim 17 , wherein the object interacts with the body of text on the display. 21. The system of claim 20 , wherein the object moves from word to word in the body of text on the display. | 0.957198 |
65. A method performed by a multi-lingual information retrieval system for searching a set of documents in a target language when search terms in a source language different from the target language are supplied, said method comprising: translating, by the multi-lingual information retrieval system, a search query in the source language into a plurality of search queries in the target language; searching, by the multi-lingual information retrieval system, a target language document set in the target language using each of the plurality of target language search queries to return a plurality of target language documents; translating, by the multi-lingual information retrieval system, the plurality of target language documents into corresponding translated documents in the source language, searching, by the multi-lingual information retrieval system, a source language document set in the source language using each of the plurality of synonyms of the source language search terms saved in a synonym database, to return a plurality of source language documents translating, by the multi-lingual information retrieval system, the plurality of the source language documents into corresponding translated documents in the target language; translating, by the multi-lingual information retrieval system, a source language term to a plurality of target language translation options; translating, by the multi-lingual information retrieval system, the plurality of target language translation options to respective source language translation results; and storing, by the multi-lingual information retrieval system, a collection of the source language translation results in the synonym database as synonyms for the source language term. | 65. A method performed by a multi-lingual information retrieval system for searching a set of documents in a target language when search terms in a source language different from the target language are supplied, said method comprising: translating, by the multi-lingual information retrieval system, a search query in the source language into a plurality of search queries in the target language; searching, by the multi-lingual information retrieval system, a target language document set in the target language using each of the plurality of target language search queries to return a plurality of target language documents; translating, by the multi-lingual information retrieval system, the plurality of target language documents into corresponding translated documents in the source language, searching, by the multi-lingual information retrieval system, a source language document set in the source language using each of the plurality of synonyms of the source language search terms saved in a synonym database, to return a plurality of source language documents translating, by the multi-lingual information retrieval system, the plurality of the source language documents into corresponding translated documents in the target language; translating, by the multi-lingual information retrieval system, a source language term to a plurality of target language translation options; translating, by the multi-lingual information retrieval system, the plurality of target language translation options to respective source language translation results; and storing, by the multi-lingual information retrieval system, a collection of the source language translation results in the synonym database as synonyms for the source language term. 68. The method of claim 65 , further comprising: when the user enters a query in the source language, displaying synonyms for one or more terms in the query. | 0.591686 |
14. The system of claim 10 , wherein the user specific style specifies a cell property for each cell and further comprising overriding a defined value for the cell property with a defined value for at least one of the storyboard properties when the defined value for at least one of the storyboard properties conflicts with the defined value for the cell property. | 14. The system of claim 10 , wherein the user specific style specifies a cell property for each cell and further comprising overriding a defined value for the cell property with a defined value for at least one of the storyboard properties when the defined value for at least one of the storyboard properties conflicts with the defined value for the cell property. 15. The system of claim 14 , further comprising, the determining of a user-specific editing style comprising determining at least the following cell properties for each cell: a start transition effect; an end transition effect; a priority property for determining, when said end transition effect of the each cell overlaps with a start transition effect of a next cell of the first storyboard, which transition effect is used; and whether the user can override said end transition effect; and when the cell properties permit the user to override the end transition effect, receiving from the user changes to the end transition effect and applying the changes to the end transition effect. | 0.90017 |
17. A system for converting digital source content into a structured document, the system comprising: an interface for receiving digital source content, the digital source content comprising source data elements where each source data element includes one or more attributes; a processor; and a memory for storing executable instructions that comprise: a parsing module that determines the one or more attributes for each of the source data elements; an assignment module that: compares an attribute and value for the source data elements to expected values for an identifier and tags each of the source data elements with the identifier based upon their one or more attributes, the identifier defining a function for a particular source data element with a structured document; determines, for data elements of the digital source content, a semantic naming convention, a structure, a granularity, an order, and a styling by comparing the data elements of the digital source content to classified data elements of previously generated structured documents; identifies data elements of the digital source content that match classified data elements of previously analyzed structured documents; and assigns any of the semantic naming convention, the structure, the granularity, the order, and the styling of the classified data elements of previously generated structured documents to the matching data elements; and a document generator module that generates the structured document from the tagged source data elements. | 17. A system for converting digital source content into a structured document, the system comprising: an interface for receiving digital source content, the digital source content comprising source data elements where each source data element includes one or more attributes; a processor; and a memory for storing executable instructions that comprise: a parsing module that determines the one or more attributes for each of the source data elements; an assignment module that: compares an attribute and value for the source data elements to expected values for an identifier and tags each of the source data elements with the identifier based upon their one or more attributes, the identifier defining a function for a particular source data element with a structured document; determines, for data elements of the digital source content, a semantic naming convention, a structure, a granularity, an order, and a styling by comparing the data elements of the digital source content to classified data elements of previously generated structured documents; identifies data elements of the digital source content that match classified data elements of previously analyzed structured documents; and assigns any of the semantic naming convention, the structure, the granularity, the order, and the styling of the classified data elements of previously generated structured documents to the matching data elements; and a document generator module that generates the structured document from the tagged source data elements. 25. The system according to claim 17 , wherein the document generator module is further configured to generate an electronic publication from the structured document, the electronic publication being configured for use with an electronic document reader. | 0.573337 |
1. A method for a multimedia seek sequence using a synchronization index and a mobile computing device comprising the steps: providing, to a mobile computing device, information for displaying on the mobile computing device text from a synchronization index, wherein said synchronization index comprises an electronic transcript that indicates text corresponding to audio from the multimedia and respective times within multimedia corresponding to when a word or range of words is audible in the multimedia; wherein said mobile computing device comprises a viewing screen and a touch-sensitive input interface; displaying, after said providing step, at least a portion of said text from a synchronization index on said viewing screen, wherein said text is displayed other than as a web page; receiving, from the mobile computing device, information indicating a user's selected mobile computing device touch-sensitive input interface gesture performed on a portion of said viewing screen corresponding to a displayed word, or a range of words, from said synchronization index, wherein said gesture is recognized by said touch-sensitive input interface on the mobile computing device; performing a timecode lookup, using the synchronization index, and in response to the gesture performed to select a word or range of words, said timecode lookup functioning to associate a time, t1, within multimedia to the selected word or range of words; and delivering multimedia beginning at time t1, or providing instructions for the delivery of multimedia beginning at time t1, to a receiving device to play said multimedia, wherein said multimedia corresponds to the word or range of words selected by the gesture. | 1. A method for a multimedia seek sequence using a synchronization index and a mobile computing device comprising the steps: providing, to a mobile computing device, information for displaying on the mobile computing device text from a synchronization index, wherein said synchronization index comprises an electronic transcript that indicates text corresponding to audio from the multimedia and respective times within multimedia corresponding to when a word or range of words is audible in the multimedia; wherein said mobile computing device comprises a viewing screen and a touch-sensitive input interface; displaying, after said providing step, at least a portion of said text from a synchronization index on said viewing screen, wherein said text is displayed other than as a web page; receiving, from the mobile computing device, information indicating a user's selected mobile computing device touch-sensitive input interface gesture performed on a portion of said viewing screen corresponding to a displayed word, or a range of words, from said synchronization index, wherein said gesture is recognized by said touch-sensitive input interface on the mobile computing device; performing a timecode lookup, using the synchronization index, and in response to the gesture performed to select a word or range of words, said timecode lookup functioning to associate a time, t1, within multimedia to the selected word or range of words; and delivering multimedia beginning at time t1, or providing instructions for the delivery of multimedia beginning at time t1, to a receiving device to play said multimedia, wherein said multimedia corresponds to the word or range of words selected by the gesture. 2. The method of claim 1 , further comprising seeking on said mobile computing device a multimedia file corresponding to said synchronization index, and if found, accessing multimedia at time t1. | 0.603039 |
1. A computer-implemented method comprising: generating, by a computer system, a first user interface including a plurality of graph type subsets and, for each graph type subset, a task attribute indicating a task the graph type subset is suited for; receiving, by the computer system from the user, a selection of a graph type subset in the plurality of graph type subsets; and generating, by the computer system, a second user interface in response to the selection, the second user interface including an indication of at least one graph type in the selected graph type subset, an indication of at least one attribute, and an indication of whether the at least one graph type is appropriate in view of the at least one attribute, thereby providing guidance to the user in selecting an appropriate graph type, wherein the second user interface is organized as a table, the indication of the at least one graph type being presented along a first axis of the table, the indication of the at least one attribute being presented along a second axis of the table, and the indication of whether the at least one graph type is appropriate in view of the at least one attribute being presented at an intersection point between the first and second axes in the table. | 1. A computer-implemented method comprising: generating, by a computer system, a first user interface including a plurality of graph type subsets and, for each graph type subset, a task attribute indicating a task the graph type subset is suited for; receiving, by the computer system from the user, a selection of a graph type subset in the plurality of graph type subsets; and generating, by the computer system, a second user interface in response to the selection, the second user interface including an indication of at least one graph type in the selected graph type subset, an indication of at least one attribute, and an indication of whether the at least one graph type is appropriate in view of the at least one attribute, thereby providing guidance to the user in selecting an appropriate graph type, wherein the second user interface is organized as a table, the indication of the at least one graph type being presented along a first axis of the table, the indication of the at least one attribute being presented along a second axis of the table, and the indication of whether the at least one graph type is appropriate in view of the at least one attribute being presented at an intersection point between the first and second axes in the table. 7. The method of claim 1 further comprising: receiving a selection of a graph type from the user; and updating the second user interface to include information about the selected graph type. | 0.573037 |
16. An apparatus comprising: a non-transitory, machine-readable medium; a processor coupled to the non-transitory, machine-readable medium, the non-transitory, computer-readable storage medium comprising code executable by the processor for implementing a method comprising: accessing a business process platform that includes a business process definition and a provider semantic configuration, the business process definition modeling a business process as a workflow comprising a plurality of dependent tasks, wherein the business process definition identifies a user interface definition, a business object definition, and business object data; generating a group semantic configuration that extends the provider semantic configuration; applying the group semantic configuration to one or more of the user interface definition, the business object definition, and the business object data; and customizing one of the plurality of dependent tasks of the workflow defined in the business process definition based on the group semantic configuration, the customization altering a meaning of at least one element of the customized dependent task, wherein the meaning of the customized dependent task comprises task functionality and behavior. | 16. An apparatus comprising: a non-transitory, machine-readable medium; a processor coupled to the non-transitory, machine-readable medium, the non-transitory, computer-readable storage medium comprising code executable by the processor for implementing a method comprising: accessing a business process platform that includes a business process definition and a provider semantic configuration, the business process definition modeling a business process as a workflow comprising a plurality of dependent tasks, wherein the business process definition identifies a user interface definition, a business object definition, and business object data; generating a group semantic configuration that extends the provider semantic configuration; applying the group semantic configuration to one or more of the user interface definition, the business object definition, and the business object data; and customizing one of the plurality of dependent tasks of the workflow defined in the business process definition based on the group semantic configuration, the customization altering a meaning of at least one element of the customized dependent task, wherein the meaning of the customized dependent task comprises task functionality and behavior. 19. The apparatus of claim 16 , wherein the business process definition includes a task descriptor that identifies the user interface definition, the business object definition, and the business object data. | 0.685096 |
14. A multimedia device comprising: a user profile agent to receive a first video stream of a first television program obtained by way of the multimedia device, to determine from the first video stream, information comprising a plurality of keywords associated with user viewing habits, and to generate a user profile based on the information comprising the plurality of keywords; a first memory in communication with the user profile agent, the first memory to store the user profile comprising the plurality of keywords; a keyword detection agent, in communication with the first memory, to search, subsequently to the storing of the user profile comprising the plurality of keywords, text associated with a second video stream of a second television program output from the multimedia device for one of a word or phrase of the plurality of keywords of the user profile; a second memory in communication with the keyword detection agent, the second memory to store the word or phrase of the plurality of keywords detected in the text associated with the second video stream as a second keyword separately from the second video stream and separately from the first memory; and an information search agent, in communication with the memory, to connect to an information source associated with the second keyword detected by the keyword detection agent, and to provide additional information associated with the second keyword for output. | 14. A multimedia device comprising: a user profile agent to receive a first video stream of a first television program obtained by way of the multimedia device, to determine from the first video stream, information comprising a plurality of keywords associated with user viewing habits, and to generate a user profile based on the information comprising the plurality of keywords; a first memory in communication with the user profile agent, the first memory to store the user profile comprising the plurality of keywords; a keyword detection agent, in communication with the first memory, to search, subsequently to the storing of the user profile comprising the plurality of keywords, text associated with a second video stream of a second television program output from the multimedia device for one of a word or phrase of the plurality of keywords of the user profile; a second memory in communication with the keyword detection agent, the second memory to store the word or phrase of the plurality of keywords detected in the text associated with the second video stream as a second keyword separately from the second video stream and separately from the first memory; and an information search agent, in communication with the memory, to connect to an information source associated with the second keyword detected by the keyword detection agent, and to provide additional information associated with the second keyword for output. 18. The multimedia device of claim 14 wherein the multimedia device is selected from a group consisting of a set-top box device, a computer, a mobile multimedia device, and a smart cellular telephone. | 0.56601 |
15. One or more non-transitory computer readable media comprising executable code that, when executed, cause one or more computing devices to perform a process comprising: obtaining audio data regarding an utterance; determining one or more articulatory features associated with a portion of the audio data; identifying a subset of a plurality of acoustic model components based at least on the one or more articulatory features; computing a score, using the subset, for a feature vector for the portion of audio data; and generating automatic speech recognition results based at least on the score computed for the feature vector, wherein the automatic speech recognition results comprise one or more transcriptions corresponding to the utterance. | 15. One or more non-transitory computer readable media comprising executable code that, when executed, cause one or more computing devices to perform a process comprising: obtaining audio data regarding an utterance; determining one or more articulatory features associated with a portion of the audio data; identifying a subset of a plurality of acoustic model components based at least on the one or more articulatory features; computing a score, using the subset, for a feature vector for the portion of audio data; and generating automatic speech recognition results based at least on the score computed for the feature vector, wherein the automatic speech recognition results comprise one or more transcriptions corresponding to the utterance. 16. The one or more non-transitory computer readable media of claim 15 , wherein at least one of the one or more articulatory features indicates one or more of whether a sound is a consonant or vowel, is voiced, is a fricative, is bilabial, or is labiodental. | 0.746206 |
1. A system for determining recommendation data, comprising: a processor configured to: extract a first set of keywords from a set of user action logs that occurred prior to a predetermined time point and determine a weight value for at least one of the first set of keywords; extract a second set of keywords from a set of user action logs that occurred subsequent to the predetermined time point and determine a weight value for at least one of the second set of keywords; merge at least a portion of the first set of keywords and at least a portion of the second set of keywords to obtain a third set of keywords and determine a weight value for at least one of the third set of keywords; match the third set of keywords to a database of data that can potentially be recommended to a user; and in the event that a piece of data is determined to match at least one keyword from the third set of keywords, determine that the piece of data is to be recommended to the user; and a memory coupled to the processor and configured to provide the processor with instructions. | 1. A system for determining recommendation data, comprising: a processor configured to: extract a first set of keywords from a set of user action logs that occurred prior to a predetermined time point and determine a weight value for at least one of the first set of keywords; extract a second set of keywords from a set of user action logs that occurred subsequent to the predetermined time point and determine a weight value for at least one of the second set of keywords; merge at least a portion of the first set of keywords and at least a portion of the second set of keywords to obtain a third set of keywords and determine a weight value for at least one of the third set of keywords; match the third set of keywords to a database of data that can potentially be recommended to a user; and in the event that a piece of data is determined to match at least one keyword from the third set of keywords, determine that the piece of data is to be recommended to the user; and a memory coupled to the processor and configured to provide the processor with instructions. 10. The system of claim 1 , wherein to match the third set of keywords to the piece of data to potentially recommend includes determining whether a keyword associated with the piece of data matches any keyword from the third set of keywords. | 0.749328 |
5. The method of claim 1 , wherein determining the context of the GCA comprises: identifying a permission associated with the query. | 5. The method of claim 1 , wherein determining the context of the GCA comprises: identifying a permission associated with the query. 6. The method of claim 5 , wherein identifying the permission associated with the query further comprises: receiving a user identifier with the query; and determining a permission associated with the user identifier. | 0.947151 |
24. A digital image processing method comprising the steps of: executing a pre-scan of a document, on which document the user has marked a plurality of document blocks, and creating pre-scan image data from which pre-scan image data the plurality of document blocks that is marked by the user are detected; extracting the plurality of document blocks that are digital image data representing a portion of the scanned document, the scanned document having document images and a background, the plurality of document blocks includes document image data and background image data, the document image data represents some of the document images on the scanned document, wherein all the document image data in the extracted plurality of document blocks represents fewer document images than are present in the scanned document; generating character code data for character image data within the plurality of document blocks; using an electronic circuit to reconstruct the plurality of document blocks into a single document block in a specific shape based on the extracted plurality of document blocks; and using an electronic circuit to lay out the generated character code data within the reconstructed document block to create a layout image; wherein extraction means extracts a plurality of document blocks, and reconstruction means arranges the plurality of extracted document blocks into a single block reconstructed to the specific shape. | 24. A digital image processing method comprising the steps of: executing a pre-scan of a document, on which document the user has marked a plurality of document blocks, and creating pre-scan image data from which pre-scan image data the plurality of document blocks that is marked by the user are detected; extracting the plurality of document blocks that are digital image data representing a portion of the scanned document, the scanned document having document images and a background, the plurality of document blocks includes document image data and background image data, the document image data represents some of the document images on the scanned document, wherein all the document image data in the extracted plurality of document blocks represents fewer document images than are present in the scanned document; generating character code data for character image data within the plurality of document blocks; using an electronic circuit to reconstruct the plurality of document blocks into a single document block in a specific shape based on the extracted plurality of document blocks; and using an electronic circuit to lay out the generated character code data within the reconstructed document block to create a layout image; wherein extraction means extracts a plurality of document blocks, and reconstruction means arranges the plurality of extracted document blocks into a single block reconstructed to the specific shape. 28. A digital image processing method as claimed in claim 24 , wherein an area of the reconstructed document block is the same as a total area of the extracted document blocks. | 0.563589 |
19. A method for a website design program, said method comprising: comparing at least two versions of a website, said at least two versions having components in a set of hierarchies, wherein said components are at least one of a visual component, a container and a non-visual site element; generating a difference tree representing the differences in said components between said at least two versions of the same website; preprocessing said components in each single version of said at least two versions of said website to determine at least one of internal geometric, semantic, content and attribute relationships; wherein said hierarchies and said difference tree are trees and wherein said trees comprise nodes representing said components, said components having attributes; and wherein said comparing at least two versions of a website, generating, preprocessing, comparing said components and said relationships and creating comprises: comparing said nodes through comparison of their geometrical, content and semantic relationships; comparing said nodes based on the order of said nodes and pre-matching said nodes according to an internal said website design system identifier; performing semantic classification on said nodes and matching them according to their semantic classes and geometrical parameters; providing selection and coordinating between said comparing said nodes through comparison of their geometrical, content and semantic relationships, said comparing said nodes based on the order of said nodes and pre-matching and said performing semantic classification based on at least one of the structure and attributes of said components; generating said difference tree based on a combination of the results of said comparing said nodes through comparison of their geometrical, content and semantic relationships, said comparing said nodes based on the order of said nodes and pre-matching and said performing semantic classification and matching them according to their semantic classes and geometrical parameters; comparing said components and said relationships between said at least two versions of said website using at least one of semantic, geometrical, content and attribute analysis; and creating an integrated version of said two versions of said website based on said difference tree. | 19. A method for a website design program, said method comprising: comparing at least two versions of a website, said at least two versions having components in a set of hierarchies, wherein said components are at least one of a visual component, a container and a non-visual site element; generating a difference tree representing the differences in said components between said at least two versions of the same website; preprocessing said components in each single version of said at least two versions of said website to determine at least one of internal geometric, semantic, content and attribute relationships; wherein said hierarchies and said difference tree are trees and wherein said trees comprise nodes representing said components, said components having attributes; and wherein said comparing at least two versions of a website, generating, preprocessing, comparing said components and said relationships and creating comprises: comparing said nodes through comparison of their geometrical, content and semantic relationships; comparing said nodes based on the order of said nodes and pre-matching said nodes according to an internal said website design system identifier; performing semantic classification on said nodes and matching them according to their semantic classes and geometrical parameters; providing selection and coordinating between said comparing said nodes through comparison of their geometrical, content and semantic relationships, said comparing said nodes based on the order of said nodes and pre-matching and said performing semantic classification based on at least one of the structure and attributes of said components; generating said difference tree based on a combination of the results of said comparing said nodes through comparison of their geometrical, content and semantic relationships, said comparing said nodes based on the order of said nodes and pre-matching and said performing semantic classification and matching them according to their semantic classes and geometrical parameters; comparing said components and said relationships between said at least two versions of said website using at least one of semantic, geometrical, content and attribute analysis; and creating an integrated version of said two versions of said website based on said difference tree. 33. The method of claim 19 and wherein said performing semantic classification comprises: classifying said components into a semantic classification; and creating a match between elements from two matched components based on said semantic classification. | 0.579262 |
51. The method of claim 33 , wherein the first data comprises first text. | 51. The method of claim 33 , wherein the first data comprises first text. 53. The method of claim 51 , wherein the document further includes second text not included in the first coding. | 0.966726 |
3. The system for recognizing speech according to claim 2 , wherein the plurality of microphones form a plurality of audio channels, and the speech recognition processing unit is configured to process speech input acquired by the plurality of microphones for each of the audio channels, and is further configured to, for the character string from each of the audio channels, impart identification information for identifying a speaker associated with the channel. | 3. The system for recognizing speech according to claim 2 , wherein the plurality of microphones form a plurality of audio channels, and the speech recognition processing unit is configured to process speech input acquired by the plurality of microphones for each of the audio channels, and is further configured to, for the character string from each of the audio channels, impart identification information for identifying a speaker associated with the channel. 4. The system for recognizing speech according to claim 3 , wherein the output control unit is configured to retrieve, from the text, the character string of one of the speakers specified by the identification information, and to reproduce the speech segment corresponding to the retrieved character string. | 0.883045 |
11. A knowledge sharing system, comprising: a video management unit adapted to register a video selected by an augmented object creating tool, the video including an object that moves along a path of movement from a first position in a first frame of the video to a second position in a second frame of the video, wherein the second position is distinct from the first position; an augmented object management unit adapted to: generate, in response to a selection by a user of the object, an augmented object instruction, the augmented object instruction comprising a designation of the object and a request for an augmented object associated with the object; identify the selected object by machine object recognition and dynamically retrieve information about the object from a semantic web; create augmented object information for the selected object based on the augmented object instruction and the retrieved information from the semantic web, the retrieved information from the semantic web to be displayed with the augmented object; associate the augmented object with the path of movement of the object from the first position in the first frame of the video to the second position in the second frame of the video, wherein the augmented object tracks with the object displayed in the video; and register the augmented object information created for the object displayed in the video by the augmented object creating tool; and a video replaying unit adapted to: apply the augmented object information to the video when the video is selected and replay the video including the information retrieved from the semantic web, the replayed video displaying the retrieved information for the object being relocated along the path of movement of the object from the first position in the first frame to the second position in the second frame, wherein a web service is provided to exchange information with the augmented object creating tool and to search and watch the video, wherein the user shares the video through the web service, and wherein the augmented object information for the video is adapted to permit user interaction with the augmented object in an environment of the video, the interaction with the augmented object triggering further interaction with the augmented object in the environment of the video. | 11. A knowledge sharing system, comprising: a video management unit adapted to register a video selected by an augmented object creating tool, the video including an object that moves along a path of movement from a first position in a first frame of the video to a second position in a second frame of the video, wherein the second position is distinct from the first position; an augmented object management unit adapted to: generate, in response to a selection by a user of the object, an augmented object instruction, the augmented object instruction comprising a designation of the object and a request for an augmented object associated with the object; identify the selected object by machine object recognition and dynamically retrieve information about the object from a semantic web; create augmented object information for the selected object based on the augmented object instruction and the retrieved information from the semantic web, the retrieved information from the semantic web to be displayed with the augmented object; associate the augmented object with the path of movement of the object from the first position in the first frame of the video to the second position in the second frame of the video, wherein the augmented object tracks with the object displayed in the video; and register the augmented object information created for the object displayed in the video by the augmented object creating tool; and a video replaying unit adapted to: apply the augmented object information to the video when the video is selected and replay the video including the information retrieved from the semantic web, the replayed video displaying the retrieved information for the object being relocated along the path of movement of the object from the first position in the first frame to the second position in the second frame, wherein a web service is provided to exchange information with the augmented object creating tool and to search and watch the video, wherein the user shares the video through the web service, and wherein the augmented object information for the video is adapted to permit user interaction with the augmented object in an environment of the video, the interaction with the augmented object triggering further interaction with the augmented object in the environment of the video. 12. The knowledge sharing system of claim 11 , wherein the video management unit is adapted to convert a format of the video to a video format supported by a user terminal and register the converted video. | 0.805478 |
13. The apparatus of claim 11 wherein the processor is further configured to receive a signal from the user selecting an operational state before receiving the segment of speech. | 13. The apparatus of claim 11 wherein the processor is further configured to receive a signal from the user selecting an operational state before receiving the segment of speech. 14. The apparatus of claim 13 wherein the operational state is selected from the group consisting of an annotate state, a narrate state, a commentary state, an analyze state and a review/edit state. | 0.824786 |
28. An apparatus having a central processing unit (CPU) and a memory coupled to said CPU, said apparatus comprising: an initialization mechanism configured to generate a plurality of candidate phrases responsive to a first open-site network search for a category term; an external scoring mechanism configured to determine an external score responsive to a second open-site network search for at least one of said plurality of candidate phrases; a targeted-site determination mechanism configured to determine at least one targeted-site expected to be associated with each of said plurality of candidate phrases; an internal scoring mechanism configured to determine an internal score for said at least one of said plurality of candidate phrases responsive to at least one targeted-site network search of said at least one targeted-site for said category term, wherein said targeted-site determination mechanism includes a filter mechanism configured to: construct a site query for each one of said plurality of candidate phrases responsive to the one of said plurality of candidate phrases and receiving at least one site query result responsive to the site query; discard each site query result for which the one of said plurality of candidate phrases is not contained in at least one of a site address and a site name of the site query result; extract at least one probable web host name from the remaining of the at least one site query result; construct a second mode query responsive to said category term and said at least one probable web host and submit at least one targeted-site network search using said second mode query; receive at least one third search result responsive to said at least one targeted-site network search using said second mode query; repeat said constructing a site query, said discarding, said extracting at least one probable web host name, said constructing a second mode query, and said receiving at least one third search result for each remaining of said plurality of candidate phrases; and determine said internal score responsive to said at least one third search result; a final scoring mechanism configured to determine a final score for said at least one of said plurality of candidate phrases responsive to said internal score and said external score; and a presentation mechanism configured to present said at least one of said plurality of candidate phrases. | 28. An apparatus having a central processing unit (CPU) and a memory coupled to said CPU, said apparatus comprising: an initialization mechanism configured to generate a plurality of candidate phrases responsive to a first open-site network search for a category term; an external scoring mechanism configured to determine an external score responsive to a second open-site network search for at least one of said plurality of candidate phrases; a targeted-site determination mechanism configured to determine at least one targeted-site expected to be associated with each of said plurality of candidate phrases; an internal scoring mechanism configured to determine an internal score for said at least one of said plurality of candidate phrases responsive to at least one targeted-site network search of said at least one targeted-site for said category term, wherein said targeted-site determination mechanism includes a filter mechanism configured to: construct a site query for each one of said plurality of candidate phrases responsive to the one of said plurality of candidate phrases and receiving at least one site query result responsive to the site query; discard each site query result for which the one of said plurality of candidate phrases is not contained in at least one of a site address and a site name of the site query result; extract at least one probable web host name from the remaining of the at least one site query result; construct a second mode query responsive to said category term and said at least one probable web host and submit at least one targeted-site network search using said second mode query; receive at least one third search result responsive to said at least one targeted-site network search using said second mode query; repeat said constructing a site query, said discarding, said extracting at least one probable web host name, said constructing a second mode query, and said receiving at least one third search result for each remaining of said plurality of candidate phrases; and determine said internal score responsive to said at least one third search result; a final scoring mechanism configured to determine a final score for said at least one of said plurality of candidate phrases responsive to said internal score and said external score; and a presentation mechanism configured to present said at least one of said plurality of candidate phrases. 29. The apparatus of claim 28 , wherein said first open-site network search is also responsive to a search type selection related to said category term. | 0.786928 |
18. The method as recited in claim 17 , wherein said simultaneous sparse approximation is of a greedy adaptive decomposition (GAD) type, said candidate spectral components being established within the general dictionary, said candidate spectral components each being defined either as a continuous function or as a discrete vector. | 18. The method as recited in claim 17 , wherein said simultaneous sparse approximation is of a greedy adaptive decomposition (GAD) type, said candidate spectral components being established within the general dictionary, said candidate spectral components each being defined either as a continuous function or as a discrete vector. 24. The method as recited in claim 18 , wherein said selective matching includes: a matching pursuits decomposition to generate a linear combination of said core spectral signatures for an individual image data vector, and an adjustment of coefficients in said linear combination for statistical optimization thereof. | 0.822569 |
15. A system, comprising: a processor; and a memory hosting an application, which, when executed on the processor, performs an operation for encrypting a first application data file, the operation comprising: determining a file format of the first application data file, encrypting the first application data file, selecting a second application data file template having a file format matching the file format of the first application data file, wherein a placeholder image is embedded in the second application data file template, storing the first application data file as encrypted content in an image file container, wherein storing the first application data file as the encrypted content in the image file container comprises: generating the image file container having a first image format; and embedding the encrypted content, as image data, in the image file container; replacing the placeholder image in the second application data file template with the image file container storing the first application data file as encrypted content, embedding, in the second application data file template, textual instructions for accessing the encrypted content, and generating a second application data file from the second application data file template, wherein the textual instructions are presented to users when accessing the second application data file. | 15. A system, comprising: a processor; and a memory hosting an application, which, when executed on the processor, performs an operation for encrypting a first application data file, the operation comprising: determining a file format of the first application data file, encrypting the first application data file, selecting a second application data file template having a file format matching the file format of the first application data file, wherein a placeholder image is embedded in the second application data file template, storing the first application data file as encrypted content in an image file container, wherein storing the first application data file as the encrypted content in the image file container comprises: generating the image file container having a first image format; and embedding the encrypted content, as image data, in the image file container; replacing the placeholder image in the second application data file template with the image file container storing the first application data file as encrypted content, embedding, in the second application data file template, textual instructions for accessing the encrypted content, and generating a second application data file from the second application data file template, wherein the textual instructions are presented to users when accessing the second application data file. 19. The system of claim 15 , wherein the first application data file is encrypted and stored in response to determining that the first application data file is to be published to a hosted storage service. | 0.664823 |
16. Non-transitory computer-readable storage comprising executable code that, when executed, causes one or more computing devices to perform a process comprising: obtaining from a client device: audio input, wherein less than all of the audio input comprises audio data likely corresponding to a keyword; contextual information associated with the audio input; and information indicating a portion of audio input, of a plurality of portions of the audio input, that likely corresponds to the keyword; obtaining acoustic information and environmental information from the portion of the audio input; determining that audio data corresponding to the keyword is present in the audio input using a detection model configured to generate a detection score using the audio input, the contextual information, the environmental information, and the acoustic information, wherein a detection score satisfying a detection threshold indicates audio data corresponding to the keyword is present in the audio input; and performing an action corresponding to a request in the audio input. | 16. Non-transitory computer-readable storage comprising executable code that, when executed, causes one or more computing devices to perform a process comprising: obtaining from a client device: audio input, wherein less than all of the audio input comprises audio data likely corresponding to a keyword; contextual information associated with the audio input; and information indicating a portion of audio input, of a plurality of portions of the audio input, that likely corresponds to the keyword; obtaining acoustic information and environmental information from the portion of the audio input; determining that audio data corresponding to the keyword is present in the audio input using a detection model configured to generate a detection score using the audio input, the contextual information, the environmental information, and the acoustic information, wherein a detection score satisfying a detection threshold indicates audio data corresponding to the keyword is present in the audio input; and performing an action corresponding to a request in the audio input. 21. The non-transitory computer-readable storage of claim 16 , wherein the contextual information reflects at least one of a time at which the audio input was generated, a geographic location of an input device, or a physical orientation of the input device with respect to a user. | 0.760671 |
1. A method for sequence analysis comprising: storing at least one query sequence and at least one subject sequence each as relations in a relational database; carrying out a comparison of the at least one query sequence and the at least one subject sequence, each stored as relations in the relational database, as one or more Structured Query Language (SQL) queries formulated to include at least one join operation, wherein at least one SQL query is formulated with a controls table that specifies parameters of the comparison; and storing a result of the comparison as a result relation in the relational database, wherein a number of tuples in the result relation is larger than a multiplicative product of a number of tuples in the at least one subject sequence times a number of tuples in the at least one query sequence, to accommodate multiple points of alignment between each combination of the at least one query sequence and the least one subject sequence that are compared. | 1. A method for sequence analysis comprising: storing at least one query sequence and at least one subject sequence each as relations in a relational database; carrying out a comparison of the at least one query sequence and the at least one subject sequence, each stored as relations in the relational database, as one or more Structured Query Language (SQL) queries formulated to include at least one join operation, wherein at least one SQL query is formulated with a controls table that specifies parameters of the comparison; and storing a result of the comparison as a result relation in the relational database, wherein a number of tuples in the result relation is larger than a multiplicative product of a number of tuples in the at least one subject sequence times a number of tuples in the at least one query sequence, to accommodate multiple points of alignment between each combination of the at least one query sequence and the least one subject sequence that are compared. 11. A method as in claim 1 wherein neither the subject sequence nor the query sequence are stored as a static materialized database definition. | 0.552931 |
9. The method claimed in claim 1, further comprising the step of: eliminating said generated data items in accordance with a predetermined condition. | 9. The method claimed in claim 1, further comprising the step of: eliminating said generated data items in accordance with a predetermined condition. 11. The method claimed in claim 9, wherein said step of eliminating said generated data items in accordance with a predetermined condition further comprises the step of: eliminating said generated data items which are no longer disposed in said navigational vicinity of said selected thought on said display. | 0.871469 |
20. An electronic device that automatically obtains relevant search results from a search engine for a user, though a keyboard is not used to manually input search terms, wherein the electronic device includes: executable code operable to facilitate communication between a electronic device, which is a movie player or a music player, with one or more other devices in a local home network; executable code operable to obtain a media name from one of the devices in the local home network that helps identify a particular song, music group, album or movie that has been played on the electronic device wherein the media name is at least one selected from the group consisting of a movie title, a song title, a music album name and a music group name; executable code operable to perform two linked searches, a first search and a linked second search, to obtain additional information for the user that relates to media played on the electronic device, wherein the two linked searches do not involve search terms that are directly inputted by the user; executable code operable to automatically perform the first search of the Internet using one or more search terms that include at least a part of the media name; executable code operable to identify a plurality of web pages using the first search; executable code operable to receive web page text contained in the plurality of web pages identified in the first search; executable code operable to automatically analyze the web page text to determine that some of the web page text provides additional contextual information relating to the media name; executable code operable to automatically select at least some of the web page text to use as one or more search terms in the second search; executable code operable to automatically perform the second search on an external network using the selected web page text as one or more search terms in the second search; executable code operable to receive a search result in response to the second search; and executable code operable to display information to the user based on the search result from the second search. | 20. An electronic device that automatically obtains relevant search results from a search engine for a user, though a keyboard is not used to manually input search terms, wherein the electronic device includes: executable code operable to facilitate communication between a electronic device, which is a movie player or a music player, with one or more other devices in a local home network; executable code operable to obtain a media name from one of the devices in the local home network that helps identify a particular song, music group, album or movie that has been played on the electronic device wherein the media name is at least one selected from the group consisting of a movie title, a song title, a music album name and a music group name; executable code operable to perform two linked searches, a first search and a linked second search, to obtain additional information for the user that relates to media played on the electronic device, wherein the two linked searches do not involve search terms that are directly inputted by the user; executable code operable to automatically perform the first search of the Internet using one or more search terms that include at least a part of the media name; executable code operable to identify a plurality of web pages using the first search; executable code operable to receive web page text contained in the plurality of web pages identified in the first search; executable code operable to automatically analyze the web page text to determine that some of the web page text provides additional contextual information relating to the media name; executable code operable to automatically select at least some of the web page text to use as one or more search terms in the second search; executable code operable to automatically perform the second search on an external network using the selected web page text as one or more search terms in the second search; executable code operable to receive a search result in response to the second search; and executable code operable to display information to the user based on the search result from the second search. 21. An electronic device as recited in claim 20 further includes: executable code operable to obtain information from a second electronic device in the local home network wherein the one or more search terms used in the first search are based on the media name and the information obtained from the second electronic device. | 0.519363 |
1. A computer-implemented method comprising: enabling a user to adjust configuration settings for a transformation of primitives of a Semantic Web ontology language into primitives of a software modeling language the primitives of the Semantic Web ontology language being part of an ontology; storing the adjusted configuration settings on a storage device; performing, by a machine, the transformation of primitives of the Semantic Web ontology language into primitives of the software modeling language using the adjusted configuration settings stored on the storage device, the performing of the transformation comprising: creating a metamodel; adding an instance of a metamodel class for a top-level class to the metamodel, the top-level class characterized by having no superclass and being a common superclass for all classes of the ontology; for each top class of a class hierarchy of the ontology, adding a corresponding instance of the metamodel class to the metamodel, each top class characterized by having no superclass; associating the top-level class with the instances of the metamodel class corresponding to each top class of the class hierarchy; and for each top class of the class hierarchy of the ontology, adding an annotation comprising a corresponding internationalized resource identifier (IRI) for the top class to the instance of the metamodel class for the top class, adding a corresponding instance of the metamodel class for each subclass of the top class to the metamodel, and associating the top class with the instances of the metamodel class corresponding to each subclass of the top class; and enabling a selection of the adjusted configuration settings stored on the storage device for use in a subsequent transformation of primitives of the Semantic Web ontology language into primitives of the software modeling language. | 1. A computer-implemented method comprising: enabling a user to adjust configuration settings for a transformation of primitives of a Semantic Web ontology language into primitives of a software modeling language the primitives of the Semantic Web ontology language being part of an ontology; storing the adjusted configuration settings on a storage device; performing, by a machine, the transformation of primitives of the Semantic Web ontology language into primitives of the software modeling language using the adjusted configuration settings stored on the storage device, the performing of the transformation comprising: creating a metamodel; adding an instance of a metamodel class for a top-level class to the metamodel, the top-level class characterized by having no superclass and being a common superclass for all classes of the ontology; for each top class of a class hierarchy of the ontology, adding a corresponding instance of the metamodel class to the metamodel, each top class characterized by having no superclass; associating the top-level class with the instances of the metamodel class corresponding to each top class of the class hierarchy; and for each top class of the class hierarchy of the ontology, adding an annotation comprising a corresponding internationalized resource identifier (IRI) for the top class to the instance of the metamodel class for the top class, adding a corresponding instance of the metamodel class for each subclass of the top class to the metamodel, and associating the top class with the instances of the metamodel class corresponding to each subclass of the top class; and enabling a selection of the adjusted configuration settings stored on the storage device for use in a subsequent transformation of primitives of the Semantic Web ontology language into primitives of the software modeling language. 7. The method of claim 1 , further comprising enabling the user or another user to adjust the adjusted configuration settings for use in the subsequent transformation of primitives of the Semantic Web ontology language into primitives of the software modeling language. | 0.707158 |
11. The method of claim 1 , wherein accepting the new vocabulary item includes accepting a term that is present in a result set of an automatic discovery action. | 11. The method of claim 1 , wherein accepting the new vocabulary item includes accepting a term that is present in a result set of an automatic discovery action. 12. The method of claim 11 , wherein the automatic discovery action comprises a web crawler action. | 0.942997 |
1. A method in a computer system for calculating importance of a document, the method comprising: providing user, query, and document triplets indicating that the user submitted the query and that the user selected the document from a result of the query; receiving an input user, an input query, and an input document as an input triplet, the input query having been submitted by the input user and the input document being a document of a search result for the input query; and determining a probability that the user will find the input document important by performing a smoothing of the provided triplets to account for triplets not provided and calculating the probability based on the smoothing wherein the determined probability is based at least in part on the provided triplets for users other than the input user and wherein the probability is the probability of the input document given the input user and the input query when the corresponding user, query, and document triplet is provided and is the probability of the input document given the input query otherwise and wherein a back-off factor is applied to the probability. | 1. A method in a computer system for calculating importance of a document, the method comprising: providing user, query, and document triplets indicating that the user submitted the query and that the user selected the document from a result of the query; receiving an input user, an input query, and an input document as an input triplet, the input query having been submitted by the input user and the input document being a document of a search result for the input query; and determining a probability that the user will find the input document important by performing a smoothing of the provided triplets to account for triplets not provided and calculating the probability based on the smoothing wherein the determined probability is based at least in part on the provided triplets for users other than the input user and wherein the probability is the probability of the input document given the input user and the input query when the corresponding user, query, and document triplet is provided and is the probability of the input document given the input query otherwise and wherein a back-off factor is applied to the probability. 3. The method of claim 1 wherein the probability is based on probabilities of clusters identified based on relationships between users, queries, and documents. | 0.888579 |
1. A driving maneuver assisting apparatus comprising: a learning section configured to learn a driving-behavior pattern of a driver for a predetermined duration; a non-steady-state degree calculating section configured to calculate a non-steady-state degree by comparing a current driving-behavior pattern with the driving-behavior pattern learned by the learning section, wherein the non-steady-state degree represents how different the current driving-behavior pattern is from the driving-behavior pattern learned by the learning section; a learning level calculating section configured to calculate a learning level of the learning section; and a notifying section configured to notify the driver of maneuver assisting information for inducing the driving-behavior pattern learned by the learning section in accordance with the learning level calculated by the learning level calculating section, when the non-steady-state degree calculated by the non-steady-state degree calculating section exceeds a threshold value, wherein the notifying section is configured to provide contents of the maneuver assisting information in more detail as the learning level calculated by the learning level calculating section becomes higher, and wherein the learning level calculating section is configured to calculate the learning level of the learning section in accordance with a number of data points already acquired as the driving-behavior pattern of the driver by the learning section. | 1. A driving maneuver assisting apparatus comprising: a learning section configured to learn a driving-behavior pattern of a driver for a predetermined duration; a non-steady-state degree calculating section configured to calculate a non-steady-state degree by comparing a current driving-behavior pattern with the driving-behavior pattern learned by the learning section, wherein the non-steady-state degree represents how different the current driving-behavior pattern is from the driving-behavior pattern learned by the learning section; a learning level calculating section configured to calculate a learning level of the learning section; and a notifying section configured to notify the driver of maneuver assisting information for inducing the driving-behavior pattern learned by the learning section in accordance with the learning level calculated by the learning level calculating section, when the non-steady-state degree calculated by the non-steady-state degree calculating section exceeds a threshold value, wherein the notifying section is configured to provide contents of the maneuver assisting information in more detail as the learning level calculated by the learning level calculating section becomes higher, and wherein the learning level calculating section is configured to calculate the learning level of the learning section in accordance with a number of data points already acquired as the driving-behavior pattern of the driver by the learning section. 9. The driving maneuver assisting apparatus as claimed in claim 1 , wherein the driving maneuver assisting apparatus further comprises: a judging section configured to detect a current running environment around a vehicle and to judge whether or not the detected current running environment differs from a predetermined standard environment; and a third varying section configured to vary at least one of the threshold value and the non-steady-state degree so as to make it difficult for the non-steady-state degree to exceed the threshold value, when the judging section determines that the current running environment differs from the predetermined standard environment. | 0.5 |
8. The personal emotion-based cognitive assistant system of claim 3 , wherein the system is a headset worn by a user providing sensory cognitive memory when the user observes the synchronized visual and audio information and providing the instinct emotional signals for the system when the user observes a display of the output mechanism. | 8. The personal emotion-based cognitive assistant system of claim 3 , wherein the system is a headset worn by a user providing sensory cognitive memory when the user observes the synchronized visual and audio information and providing the instinct emotional signals for the system when the user observes a display of the output mechanism. 18. The personal emotion-based cognitive assistant of claim 8 , further comprising: a display which displays visual and audio data, wherein the processor is further configured to identify personal meaning of said displayed visual and audio data and in response to the identified personal meaning, to retrieve correlated cognitive information from the memory, wherein the display is further configured to further display the retrieved correlated cognitive information, and wherein the processor is further configured to gather, verify, and process the displayed output cognitive information, and in response to the cognitive information being verified, controlling the memory to store the results in one of the plurality of distinct memory areas. | 0.865198 |
41. The system of claim 35 , wherein the operations further comprise: determining a query value Q for the query, wherein the query value is based on the QtoA ratio; determining a resource value D for the resource, the resource value being based on a function of an age of the resource, F(age); and wherein the boosting function is a boosting function of the query value Q and the resource value D. | 41. The system of claim 35 , wherein the operations further comprise: determining a query value Q for the query, wherein the query value is based on the QtoA ratio; determining a resource value D for the resource, the resource value being based on a function of an age of the resource, F(age); and wherein the boosting function is a boosting function of the query value Q and the resource value D. 43. The system of claim 41 , wherein the function of an age of the resource, F(age), is a monotonically decreasing function of an age of the resource. | 0.928404 |
15. A system, comprising: one or more processors; and memory storing one or more applications, which, when executed on the one or more processors perform an operation for selecting a response to an audio stream query, the operation 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. | 15. A system, comprising: one or more processors; and memory storing one or more applications, which, when executed on the one or more processors perform an operation for selecting a response to an audio stream query, the operation 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. 19. The system of claim 15 , wherein estimating the attribute of the user based on the set of paralinguistic features comprises comparing the paralinguistic features to attributes in the speech database. | 0.538874 |
2. The method of claim 1 , wherein the embedded image is conveyed formatted in accordance with Graphic Interchange Format (GIF), Joint Photographic Experts Group (JPEG) or Portable Network Graphics (PNG). | 2. The method of claim 1 , wherein the embedded image is conveyed formatted in accordance with Graphic Interchange Format (GIF), Joint Photographic Experts Group (JPEG) or Portable Network Graphics (PNG). 5. The method of claim 2 , further comprising identifying existence of one or more abnormal factors associated with the embedded image. | 0.960997 |
13. The system of claim 12 wherein in generating the modified data packet with the data in the packet buffer, the control module further: determines whether the given script entry is the last script entry in the packet editing script; and in response to determining that the given script entry is not the last script entry in the packet editing script, repeating the retrieving, the determining whether the given script entry is a first script entry for the modified data packet, the reserving, the copying the data in the data block at a block location and with a block length identified in the given script entry into the packet buffer, the determining whether the given script entry is a last script entry for the modified data packet, the performing, and the generating the modified data packet with the data in the packet buffer for a next given script entry in the packet editing script. | 13. The system of claim 12 wherein in generating the modified data packet with the data in the packet buffer, the control module further: determines whether the given script entry is the last script entry in the packet editing script; and in response to determining that the given script entry is not the last script entry in the packet editing script, repeating the retrieving, the determining whether the given script entry is a first script entry for the modified data packet, the reserving, the copying the data in the data block at a block location and with a block length identified in the given script entry into the packet buffer, the determining whether the given script entry is a last script entry for the modified data packet, the performing, and the generating the modified data packet with the data in the packet buffer for a next given script entry in the packet editing script. 14. The system of claim 13 wherein the determining whether the given script entry is the last script entry in the packet editing script, the control module: determines whether an end of table (EOT) indicator in the given script entry indicates that the given script entry is the last script entry in the packet editing script. | 0.778781 |
2. The computer-implemented method of claim 1 , further comprising modifying a security context associated with a second element in response to navigating a markup page associated with the first element. | 2. The computer-implemented method of claim 1 , further comprising modifying a security context associated with a second element in response to navigating a markup page associated with the first element. 3. The computer-implemented method of claim 2 , wherein the markup page is navigated from a first domain to a second domain. | 0.934031 |
Subsets and Splits