patent_num
int64 3.93M
10.2M
| claim_num1
int64 1
519
| claim_num2
int64 2
520
| sentence1
stringlengths 40
15.9k
| sentence2
stringlengths 88
20k
| label
float64 0.5
0.99
|
|---|---|---|---|---|---|
8,898,557 | 8 | 9 | 8. The computer-implemented method of claim 4 , further comprising receiving an input from the user at the handheld mobile computing device after generation of the annotated version of the rendering, the input indicating one or more devices to receive the annotated version of the rendering. | 8. The computer-implemented method of claim 4 , further comprising receiving an input from the user at the handheld mobile computing device after generation of the annotated version of the rendering, the input indicating one or more devices to receive the annotated version of the rendering. 9. The computer-implemented method of claim 8 , further comprising transmitting, from the handheld mobile computing device, the annotated version of the rendering to a paper printer in response to the input. | 0.5 |
8,781,840 | 15 | 20 | 15. At least one computer-readable storage device having encoded thereon instructions that, when executed by at least one processor of a device, perform a method comprising acts of: sending from the device, via at least one communication medium, a request to obtain information; receiving at the device, via the at least one communication medium, a response to the request to obtain information, the response comprising one or more search results and a voice grammar dynamically generated based on the one or more search results; presenting via the device at least some of the one or more search results to a user of the device; and using the voice grammar dynamically generated based on the one or more search results to process user speech spoken by the user subsequent to the at least some of the one or more search results being presented to the user. | 15. At least one computer-readable storage device having encoded thereon instructions that, when executed by at least one processor of a device, perform a method comprising acts of: sending from the device, via at least one communication medium, a request to obtain information; receiving at the device, via the at least one communication medium, a response to the request to obtain information, the response comprising one or more search results and a voice grammar dynamically generated based on the one or more search results; presenting via the device at least some of the one or more search results to a user of the device; and using the voice grammar dynamically generated based on the one or more search results to process user speech spoken by the user subsequent to the at least some of the one or more search results being presented to the user. 20. The at least one computer-readable storage device of claim 15 , wherein the request to obtain information is a subsequent request and the voice grammar dynamically generated based on the one or more search results is a subsequent voice grammar, and wherein the method further comprises acts of: sending from the device an initial request via the at least one communication medium; receiving at the device, via the at least one communication medium, an initial response to the initial request, the initial response comprising an initial voice grammar; and using the initial voice grammar to process user speech spoken by the user. | 0.583553 |
9,601,111 | 1 | 2 | 1. A method of adapting a speech system, comprising: processing a spoken command using a first speech model of a first model type to obtain a first result; processing the spoken command using a second speech model of a second model type to obtain a second result; evaluating a first frequency of an association of the first result and the first speech model; evaluating a second frequency of an association of the second result and the second speech model; and selectively updating at least one of the first speech model and the second speech model, wherein the selectively is based on the evaluation of the first frequency and the evaluation of the second frequency. | 1. A method of adapting a speech system, comprising: processing a spoken command using a first speech model of a first model type to obtain a first result; processing the spoken command using a second speech model of a second model type to obtain a second result; evaluating a first frequency of an association of the first result and the first speech model; evaluating a second frequency of an association of the second result and the second speech model; and selectively updating at least one of the first speech model and the second speech model, wherein the selectively is based on the evaluation of the first frequency and the evaluation of the second frequency. 2. The method of claim 1 further comprising processing the first result and the second result using a third speech model of a third model type to obtain a third result. | 0.72093 |
7,865,871 | 1 | 2 | 1. A method of automatically generating code to be deployed in an application server, comprising the steps of: receiving an archive file to be deployed, wherein the archive file includes at least one input class; introspecting an input class included in the archive file, wherein introspecting the input class included in the archive file includes automatically generating information relating to the input class by extracting information identifying methods included in the input class; and for each method, extracting information relating to parameters of the method including at least a name and a type of each parameter; automatically generating a markup language description of the input class based on the extracted information identifying methods included in the input class; and for each method, the extracted information relating to parameters of the method including at least a name and a type of each parameter; creating an event handler that leverages multiple templates for a method node found in the markup language description; registering the event handler; parsing the markup language description and invoking the registered event handler; and automatically generating output code using the invoked event handler in parallel. | 1. A method of automatically generating code to be deployed in an application server, comprising the steps of: receiving an archive file to be deployed, wherein the archive file includes at least one input class; introspecting an input class included in the archive file, wherein introspecting the input class included in the archive file includes automatically generating information relating to the input class by extracting information identifying methods included in the input class; and for each method, extracting information relating to parameters of the method including at least a name and a type of each parameter; automatically generating a markup language description of the input class based on the extracted information identifying methods included in the input class; and for each method, the extracted information relating to parameters of the method including at least a name and a type of each parameter; creating an event handler that leverages multiple templates for a method node found in the markup language description; registering the event handler; parsing the markup language description and invoking the registered event handler; and automatically generating output code using the invoked event handler in parallel. 2. The method of claim 1 , wherein the step of automatically generating a markup language description of the input class comprises the step of: automatically generating an Extensible Markup Language description of the input class based on the extracted information identifying methods included in the input class; and for each method, the extracted information relating to parameters of the method including at least a name and a type of each parameter. | 0.5 |
7,895,573 | 1 | 6 | 1. Container management and protection logic encoded in one or more tangible media for managing a system of containers accessible to a computer system by using an inventory of a plurality of protected containers in the system of containers, the plurality of protected containers being accessible to the computer system from at least one of a locally-accessible storage device, a remotely-accessible file storage system, or a storage repository, wherein each of the protected containers is executable in at least one of a plurality of execution environments characterizing the computer system, the container management and protection logic including code for execution and when executed by one or more processors is operable to perform operations, comprising: generating the inventory of the plurality of protected containers, the inventory including a plurality of identifiers corresponding respectively to each of the plurality of protected containers, wherein each identifier includes information specific to accessing or locating the corresponding protected container, information uniquely representing the corresponding protected container, or a combination thereof, wherein the inventory is maintained by the container management and protection logic including an interception module, the inventory for use by the interception module; dynamically intercepting, by the interception module, an operation request on the computer system for a targeted container, the operation request selected from a group consisting of a user-initiated request and a software process initiated request; identifying the targeted container of the intercepted operation request; analyzing the inventory of the plurality of protected containers to determine if an identifier corresponding to one of the plurality of protected containers matches that of the targeted container; allowing the operation request if the operation request is a change request and if it is determined that none of the identifiers corresponding to the plurality of protected containers matches that of the targeted container; and evaluating, if the operation request is allowed, whether an operation resulting from the operation request creates a new container that is executable in at least one of the plurality of execution environments characterizing the computer system, wherein if the new container is created then a new identifier corresponding to the new container is added to the inventory if the operation is authorized. | 1. Container management and protection logic encoded in one or more tangible media for managing a system of containers accessible to a computer system by using an inventory of a plurality of protected containers in the system of containers, the plurality of protected containers being accessible to the computer system from at least one of a locally-accessible storage device, a remotely-accessible file storage system, or a storage repository, wherein each of the protected containers is executable in at least one of a plurality of execution environments characterizing the computer system, the container management and protection logic including code for execution and when executed by one or more processors is operable to perform operations, comprising: generating the inventory of the plurality of protected containers, the inventory including a plurality of identifiers corresponding respectively to each of the plurality of protected containers, wherein each identifier includes information specific to accessing or locating the corresponding protected container, information uniquely representing the corresponding protected container, or a combination thereof, wherein the inventory is maintained by the container management and protection logic including an interception module, the inventory for use by the interception module; dynamically intercepting, by the interception module, an operation request on the computer system for a targeted container, the operation request selected from a group consisting of a user-initiated request and a software process initiated request; identifying the targeted container of the intercepted operation request; analyzing the inventory of the plurality of protected containers to determine if an identifier corresponding to one of the plurality of protected containers matches that of the targeted container; allowing the operation request if the operation request is a change request and if it is determined that none of the identifiers corresponding to the plurality of protected containers matches that of the targeted container; and evaluating, if the operation request is allowed, whether an operation resulting from the operation request creates a new container that is executable in at least one of the plurality of execution environments characterizing the computer system, wherein if the new container is created then a new identifier corresponding to the new container is added to the inventory if the operation is authorized. 6. The container management and protection logic of claim 1 , wherein the software process initiated request includes an automatic software updater. | 0.831435 |
8,285,654 | 23 | 39 | 23. A method of operating a computerized system capable of providing a personalized performance of a story having a predefined timeline stored in a memory of a computer, the method comprising: (a) receiving one or more inputs from one or more users; (b) using the computer for analyzing at least said received inputs in order to recognize one or more components comprised in said inputs thus giving rise to actual input components; (c) using the computer for matching said actual input components to a set of predefined input components; (d) accommodating in the memory of the computer one or more event detail records comprising at least data related to matching between actual and predefined input components; (e) using the computer for processing said accommodated event detail records (f) using the computer for modifying the story timeline in accordance with results of said processing; and (g) using the computer for generating the performance in accordance with the modified story timeline. | 23. A method of operating a computerized system capable of providing a personalized performance of a story having a predefined timeline stored in a memory of a computer, the method comprising: (a) receiving one or more inputs from one or more users; (b) using the computer for analyzing at least said received inputs in order to recognize one or more components comprised in said inputs thus giving rise to actual input components; (c) using the computer for matching said actual input components to a set of predefined input components; (d) accommodating in the memory of the computer one or more event detail records comprising at least data related to matching between actual and predefined input components; (e) using the computer for processing said accommodated event detail records (f) using the computer for modifying the story timeline in accordance with results of said processing; and (g) using the computer for generating the performance in accordance with the modified story timeline. 39. The method of claim 23 further comprising recording data related, at least, to user inputs in connection with corresponding context, and analyzing said data in order to provide one or more indicators of efficiency of the persuasion during the performance. | 0.820139 |
9,244,982 | 3 | 6 | 3. The method of claim 1 , wherein performing the static analysis further comprises: analyzing use of one or more database tables by the extracted one or more query expressions; and generating an error or warning based on detecting the collision. | 3. The method of claim 1 , wherein performing the static analysis further comprises: analyzing use of one or more database tables by the extracted one or more query expressions; and generating an error or warning based on detecting the collision. 6. The method of claim 3 , further comprising receiving one or more user defined validation criteria and wherein generating an error or warning is further based on applying the one or more user defined validation criteria. | 0.5 |
7,490,092 | 36 | 50 | 36. A method of indexing and searching timed media files, as recited in claim 35 , wherein said processing of language that is spoken within the timed media file includes analyzing the logical structure of the language. | 36. A method of indexing and searching timed media files, as recited in claim 35 , wherein said processing of language that is spoken within the timed media file includes analyzing the logical structure of the language. 50. A method of indexing and searching timed media files, as recited in claim 36 , wherein said analysis of the logical structure of the language includes identifying indications of explicit mention of topics discussed within the media. | 0.625397 |
8,289,338 | 1 | 13 | 1. A method of generating at least one font file customized to a specific multimedia file that includes textual elements, the method comprising: receiving a multimedia file including audio data, video data, and a track containing subtitle textual elements and a corresponding original font file by a processor; identifying a plurality of time segments within the multimedia file including audio data, video data, and associated textual elements using the processor; generating a unique character set for each time segment including each of the characters in the textual elements associated with the time segment; generating at least one modified font file for each time segment including fewer characters than the original font file, and all of the characters in the unique character set associated with the time segment, by the processor, wherein each modified font file is specifically matched to the textual elements associated with an identified time segment; marking each modified font file to signify a time period during the playback of audio data and video data in which the modified font file is dynamically accessible within the memory of a playback device for rendering associated textual elements; and incorporating the modified font files into the multimedia file. | 1. A method of generating at least one font file customized to a specific multimedia file that includes textual elements, the method comprising: receiving a multimedia file including audio data, video data, and a track containing subtitle textual elements and a corresponding original font file by a processor; identifying a plurality of time segments within the multimedia file including audio data, video data, and associated textual elements using the processor; generating a unique character set for each time segment including each of the characters in the textual elements associated with the time segment; generating at least one modified font file for each time segment including fewer characters than the original font file, and all of the characters in the unique character set associated with the time segment, by the processor, wherein each modified font file is specifically matched to the textual elements associated with an identified time segment; marking each modified font file to signify a time period during the playback of audio data and video data in which the modified font file is dynamically accessible within the memory of a playback device for rendering associated textual elements; and incorporating the modified font files into the multimedia file. 13. The method of claim 1 wherein the plurality of time segments collectively corresponds to an overall timeline of a video presentation. | 0.76936 |
7,574,362 | 14 | 24 | 14. A method for automatically planning a sentence in a task classification system, comprising: recognizing symbols in a user's single input communication; determining whether the user's input communication can be understood, wherein if the user's communication can be understood, understanding data is generated; generating a plurality of communicative goals based on the recognized symbols and understanding data, the generated plurality of communicative goals being related to information needed to be obtained from the user; in response to information from the user's single input communication: generating a plurality of sentence plans based on the plurality of generated communicative goals, each sentence plan in the plurality of sentence plans being a realization comprising elementary speech acts each corresponding to a respective communicative goal and combined into at least one complete sentence that accomplishes the plurality of communicative goals, and wherein each sentence plan of the plurality of sentence plans is a viable and potentially usable prompt in response to the user's single input communication; independent of the user, ranking the generated sentence plans; selecting the highest ranked sentence plan; realizing the selected sentence plan; and outputting the realized sentence plan to the user as a response to the user's single input communication such that a dialog turn occurs starting with the user's single input communication and ending with the outputted sentence plan. | 14. A method for automatically planning a sentence in a task classification system, comprising: recognizing symbols in a user's single input communication; determining whether the user's input communication can be understood, wherein if the user's communication can be understood, understanding data is generated; generating a plurality of communicative goals based on the recognized symbols and understanding data, the generated plurality of communicative goals being related to information needed to be obtained from the user; in response to information from the user's single input communication: generating a plurality of sentence plans based on the plurality of generated communicative goals, each sentence plan in the plurality of sentence plans being a realization comprising elementary speech acts each corresponding to a respective communicative goal and combined into at least one complete sentence that accomplishes the plurality of communicative goals, and wherein each sentence plan of the plurality of sentence plans is a viable and potentially usable prompt in response to the user's single input communication; independent of the user, ranking the generated sentence plans; selecting the highest ranked sentence plan; realizing the selected sentence plan; and outputting the realized sentence plan to the user as a response to the user's single input communication such that a dialog turn occurs starting with the user's single input communication and ending with the outputted sentence plan. 24. The method of claim 14 , further comprising: converting the realized sentence plan from text to speech. | 0.834877 |
10,055,401 | 14 | 18 | 14. A method for dynamically evaluating an electronic communication comprising: identifying an idiom in an electronic communication; conducting a primary evaluation of the identified idiom; assigning a confidence level to the identified idiom in response to the primary evaluation; identifying an explanation of the idiom; and selectively updating a corpus based on the assigned confidence level, including extracting and transforming the explanation and the idiom into an entry in the corpus including creating a primary association between the explanation and the idiom. | 14. A method for dynamically evaluating an electronic communication comprising: identifying an idiom in an electronic communication; conducting a primary evaluation of the identified idiom; assigning a confidence level to the identified idiom in response to the primary evaluation; identifying an explanation of the idiom; and selectively updating a corpus based on the assigned confidence level, including extracting and transforming the explanation and the idiom into an entry in the corpus including creating a primary association between the explanation and the idiom. 18. The method of claim 14 , wherein the assigned confidence level is a second confidence level, and further comprising: activating an application, the application: conveying the explanation and the idiom, including the assigned second level of confidence; and receiving a secondary association in response to the conveyance wherein the selective update is based on the secondary association. | 0.5625 |
5,499,108 | 32 | 36 | 32. A document-driven system comprising a document scanner, said scanner, in response to placement of a document by a user, scanning the document and generating image data representing the image of the document, wherein said placement alone is sufficient to initiate said scanning and generating, and a computer, said computer communicating with said document scanner, said computer displaying, in response to said placement, a plurality of user-selectable options for processing said image data. | 32. A document-driven system comprising a document scanner, said scanner, in response to placement of a document by a user, scanning the document and generating image data representing the image of the document, wherein said placement alone is sufficient to initiate said scanning and generating, and a computer, said computer communicating with said document scanner, said computer displaying, in response to said placement, a plurality of user-selectable options for processing said image data. 36. A system according to claim 32 wherein said computer displays a visual representation of said image data generated in response to said placement, establishes which option has been selected by the user, and processes said image data in accordance with the option selected by the user. | 0.5 |
8,185,427 | 2 | 11 | 2. The method of claim 1 , wherein a task suggestion is represented using a language structure organized as a set of terms to describe user tasks as abstractions of the obtained device function descriptions and task descriptions. | 2. The method of claim 1 , wherein a task suggestion is represented using a language structure organized as a set of terms to describe user tasks as abstractions of the obtained device function descriptions and task descriptions. 11. The method of claim 2 , wherein the task suggestions mask device functions from the user. | 0.663043 |
8,275,618 | 15 | 21 | 15. A mobile user device comprising: a user verification interface including: presenting means for presenting with the mobile device for a speech input containing a plurality of spoken words, a word display representing one or more most likely recognition hypotheses corresponding to a current one of the spoken words; recognition verification process means for performing a recognition verification process wherein recognition of each spoken word is verified by a user input action. the verification process including either: receiving from the user a key input verifying one of the displayed recognition hypotheses as correct, or receiving from the user: a first key input representative of one or more associated letters which limits the recognition hypotheses presented in the recognized word display to a limited set of one or more recognition hypotheses starting with the one or more letters associated with the key input; ii. a second key input verifying one of the recognition hypotheses presented in the recognized word display as a corrected speech recognition result; and repeating means for repeating the recognition verification process means for a next word in the speech input until all the spoken words have been processed. | 15. A mobile user device comprising: a user verification interface including: presenting means for presenting with the mobile device for a speech input containing a plurality of spoken words, a word display representing one or more most likely recognition hypotheses corresponding to a current one of the spoken words; recognition verification process means for performing a recognition verification process wherein recognition of each spoken word is verified by a user input action. the verification process including either: receiving from the user a key input verifying one of the displayed recognition hypotheses as correct, or receiving from the user: a first key input representative of one or more associated letters which limits the recognition hypotheses presented in the recognized word display to a limited set of one or more recognition hypotheses starting with the one or more letters associated with the key input; ii. a second key input verifying one of the recognition hypotheses presented in the recognized word display as a corrected speech recognition result; and repeating means for repeating the recognition verification process means for a next word in the speech input until all the spoken words have been processed. 21. The device according to claim 15 , wherein the recognition hypotheses are derived via a phone to letter algorithm. | 0.601351 |
8,914,398 | 9 | 13 | 9. A system, comprising: at least one processor; and a memory comprising program instructions, wherein the program instructions are executable by the at least one processor to: receive text input, the text input including content associated with an input source; provide the text input to a keyword suggestion tool, wherein the keyword suggestion tool generates one or more keywords based on the text input; apply a text reduction function to the text input to generate a reduced text that is a subset of the text input, wherein the text reduction function is based on a term importance score of terms in the text input; provide the reduced text to the keyword suggestion tool, wherein the keyword suggestion tool generates one or more keywords based on the reduced text, the one or more keywords generated based on the reduced text generated independently from the one or more keywords generated based on the text input; and generate a keyword set output from a combination of the one or more keywords based on the text input and the one or more keywords based on the reduced text. | 9. A system, comprising: at least one processor; and a memory comprising program instructions, wherein the program instructions are executable by the at least one processor to: receive text input, the text input including content associated with an input source; provide the text input to a keyword suggestion tool, wherein the keyword suggestion tool generates one or more keywords based on the text input; apply a text reduction function to the text input to generate a reduced text that is a subset of the text input, wherein the text reduction function is based on a term importance score of terms in the text input; provide the reduced text to the keyword suggestion tool, wherein the keyword suggestion tool generates one or more keywords based on the reduced text, the one or more keywords generated based on the reduced text generated independently from the one or more keywords generated based on the text input; and generate a keyword set output from a combination of the one or more keywords based on the text input and the one or more keywords based on the reduced text. 13. The system of claim 9 , wherein the program instructions to receive the text input are further executable by the at least one processor to: receive, periodically or aperiodically, the text input from a source feed. | 0.716883 |
8,953,844 | 1 | 5 | 1. In a system including a computing environment coupled to a capture device for capturing image data from a field of view of the capture device, the image data representing a position of a user, a method of estimating user body position comprising: (a) receiving image data from the field of view; (b) applying one or more computer models for generating body part proposals from the image data, at least one computer model accounting for missing joint information by using a position of the missing joint identified in a past frame as a basis for the position of the missing joint in the current frame; and (c) analyzing the one or more computer models produced in said step (b) by one or more methodologies to choose at least one computer model of the one or more computer models estimated to provide the best body part proposal. | 1. In a system including a computing environment coupled to a capture device for capturing image data from a field of view of the capture device, the image data representing a position of a user, a method of estimating user body position comprising: (a) receiving image data from the field of view; (b) applying one or more computer models for generating body part proposals from the image data, at least one computer model accounting for missing joint information by using a position of the missing joint identified in a past frame as a basis for the position of the missing joint in the current frame; and (c) analyzing the one or more computer models produced in said step (b) by one or more methodologies to choose at least one computer model of the one or more computer models estimated to provide the best body part proposal. 5. The method of claim 1 , said step (b) of applying one or more computer models comprising the step of applying one or more computer models based on the image data from the field of view captured in a prior frame. | 0.746445 |
9,002,935 | 11 | 17 | 11. One or more non-transitory computer-readable media having recorded thereon instructions, that when executed by one or more computer processors, perform operations comprising: receiving an identification of a first composite document, wherein: the first composite document comprises a spreadsheet workbook stored as a data structure on the server system, and the first composite document contains a plurality of distinct sub-documents, wherein one or more of the sub-documents comprises a worksheet of the spreadsheet workbook; receiving at the server system an indication of user intent to copy one of the sub-documents to a second composite document, the indication resulting from a user selection of a name of the one of the sub-documents for copying to the second composite document, wherein the second composite document comprises a spreadsheet workbook stored as a data structure on the server system; identifying one or more composite documents stored on the server system to which a user associated with the remote computing device has access; receiving an indication of a user selection of the second composite document from among the one or more composite documents; and causing the indicated one of the sub-documents to be copied from the first composite document to the second composite document. | 11. One or more non-transitory computer-readable media having recorded thereon instructions, that when executed by one or more computer processors, perform operations comprising: receiving an identification of a first composite document, wherein: the first composite document comprises a spreadsheet workbook stored as a data structure on the server system, and the first composite document contains a plurality of distinct sub-documents, wherein one or more of the sub-documents comprises a worksheet of the spreadsheet workbook; receiving at the server system an indication of user intent to copy one of the sub-documents to a second composite document, the indication resulting from a user selection of a name of the one of the sub-documents for copying to the second composite document, wherein the second composite document comprises a spreadsheet workbook stored as a data structure on the server system; identifying one or more composite documents stored on the server system to which a user associated with the remote computing device has access; receiving an indication of a user selection of the second composite document from among the one or more composite documents; and causing the indicated one of the sub-documents to be copied from the first composite document to the second composite document. 17. The non-transitory recordable media of claim 11 , wherein the operations further comprise transforming references in the indicated one of the sub-documents to other sub-documents in the first composite document, so as to aim the references to sub-documents in the second composite document. | 0.613158 |
9,275,112 | 14 | 15 | 14. The computing device of claim 10 , wherein the application is further configured to: enable another application to apply the filter query to one or more views in order to obtain the filtered view result. | 14. The computing device of claim 10 , wherein the application is further configured to: enable another application to apply the filter query to one or more views in order to obtain the filtered view result. 15. The computing device of claim 14 , wherein the application is further configured to: apply the filter query for other views that are associated with the original view through at least one of a direct relationship and an indirect relationship recursively. | 0.5 |
5,463,713 | 1 | 2 | 1. An apparatus for synthesizing speech from text, comprising: a language processing section determining an accent environment of each mora of each phrase of the text, said accent environment including a height of an accent of each mora; a basic accent pattern table in which a basic accent pattern has been classified according to an accent environment of the mora, the basic accent pattern including pitch data which has been edited from real voice data according to the accent environment; a basic accent pattern processing section selecting the basic accent pattern of each mora from said basic accent pattern table according to the accent environment and processing the basic accent pattern in a pitch according to the accent environment; a correcting section receiving the basic access pattern in the pitch in said basic accent pattern processing section and correcting the pitch according to the number of moras in each phrase and the position of the moras in the phrase so as to correct the data in the corrected accent component; a phrase pattern processing section determining a phrase component according to the number of moras in each phrase of the accent environment; and a speech synthesizing section synthesizing speech according to an accent control pattern of the text which is obtained by adding the basic accent pattern and the basic phrase pattern. | 1. An apparatus for synthesizing speech from text, comprising: a language processing section determining an accent environment of each mora of each phrase of the text, said accent environment including a height of an accent of each mora; a basic accent pattern table in which a basic accent pattern has been classified according to an accent environment of the mora, the basic accent pattern including pitch data which has been edited from real voice data according to the accent environment; a basic accent pattern processing section selecting the basic accent pattern of each mora from said basic accent pattern table according to the accent environment and processing the basic accent pattern in a pitch according to the accent environment; a correcting section receiving the basic access pattern in the pitch in said basic accent pattern processing section and correcting the pitch according to the number of moras in each phrase and the position of the moras in the phrase so as to correct the data in the corrected accent component; a phrase pattern processing section determining a phrase component according to the number of moras in each phrase of the accent environment; and a speech synthesizing section synthesizing speech according to an accent control pattern of the text which is obtained by adding the basic accent pattern and the basic phrase pattern. 2. An apparatus for synthesizing speech from text as claimed in claim 1, wherein said basic accent pattern table is classified in accordance with an accent environment and a position of an accent boundary. | 0.514218 |
8,972,861 | 1 | 3 | 1. An interactive, electronic method of authoring annotated traversals through visual data, the method comprising: displaying the visual data; interactively defining a traversal of the displayed visual data by positioning a resizable overlay window relative to the displayed visual data, wherein said resizable overlay window is resizable while the visual data is being displayed, said traversal comprising a subset of motion video that specifies a time-based sequence of frames of said motion video, each of said frames comprising the visual data delineated by the overlay window, wherein the displaying said visual data comprises displaying the visual data in a cylindrical layout, and wherein said positioning of the overlay window is defined by a field of view of a virtual camera located centrally to said cylindrical layout; annotating the traversal; and storing a persistent record of the annotated traversal. | 1. An interactive, electronic method of authoring annotated traversals through visual data, the method comprising: displaying the visual data; interactively defining a traversal of the displayed visual data by positioning a resizable overlay window relative to the displayed visual data, wherein said resizable overlay window is resizable while the visual data is being displayed, said traversal comprising a subset of motion video that specifies a time-based sequence of frames of said motion video, each of said frames comprising the visual data delineated by the overlay window, wherein the displaying said visual data comprises displaying the visual data in a cylindrical layout, and wherein said positioning of the overlay window is defined by a field of view of a virtual camera located centrally to said cylindrical layout; annotating the traversal; and storing a persistent record of the annotated traversal. 3. The method of claim 1 , wherein the defining the traversal further comprises panning the visual data by positioning the overlay window relative to the displayed visual data, and interactively zooming by resizing the overlay window. | 0.61 |
9,275,156 | 18 | 19 | 18. A computer system for identifying trending topics on social networking sites, the system comprising a processor and a memory, wherein the processor executes instructions stored in the memory as part of or in conjunction with additional components to identify trending topics on social networking services, the additional components comprising: a social communication retrieval component to obtain social communications from one or more social networking sites; a link extraction component configured to extract a plurality of links to content from the social communications, each of the plurality of links corresponding to a distinct item of content; a news evaluation component configure to filter the plurality of links to content according to whether or not the linked content can be categorized as news, retaining those links to content that can be categorized as news; and a topic descriptor generator that, for each link to content that can be categorized as news, generates a topic descriptor for each of the items of content and stores the generated topic descriptor with the corresponding link in a trending topic data store as a trending topic. | 18. A computer system for identifying trending topics on social networking sites, the system comprising a processor and a memory, wherein the processor executes instructions stored in the memory as part of or in conjunction with additional components to identify trending topics on social networking services, the additional components comprising: a social communication retrieval component to obtain social communications from one or more social networking sites; a link extraction component configured to extract a plurality of links to content from the social communications, each of the plurality of links corresponding to a distinct item of content; a news evaluation component configure to filter the plurality of links to content according to whether or not the linked content can be categorized as news, retaining those links to content that can be categorized as news; and a topic descriptor generator that, for each link to content that can be categorized as news, generates a topic descriptor for each of the items of content and stores the generated topic descriptor with the corresponding link in a trending topic data store as a trending topic. 19. The computer system of claim 18 , wherein for each link to content that can be categorized as news, the topic descriptor generator is configured to: determine a first set of topic descriptors by: extracting key terms and phrases from linked content; and generating one or more potential topic descriptors from the extracted key terms and phrases; determine a second set of topic descriptors by: comparing a link with one or more search logs obtained from at least one search engine; identifying search queries from the search logs that resulted in search results that included the link; and including the identified search queries as potential topic descriptors in the set of potential topic descriptors; combine the first and second set of topic descriptors; score each topic descriptor of the combined set of topic descriptors; and select the optimal scoring topic descriptor as the generated topic descriptor for the link. | 0.5 |
8,352,418 | 4 | 6 | 4. The method of claim 1 , further comprising setting a second lock on the first unit of data when the first unit of data is edited, the second lock preventing the first unit of data from being edited by anyone other than the first user. | 4. The method of claim 1 , further comprising setting a second lock on the first unit of data when the first unit of data is edited, the second lock preventing the first unit of data from being edited by anyone other than the first user. 6. The method of claim 4 , wherein the first user is an owner of the second lock. | 0.716783 |
8,750,463 | 1 | 10 | 1. A voice messaging system for converting an audio voice message from a caller into text, the voice messaging system comprising: a plurality of conversion resources for converting the audio voice message into the text for an intended recipient, the plurality of conversion resources comprising: at least one automatic speech recognition (ASR) system to automatically recognize at least some of the audio voice message and generate a plurality of candidate word or phrase sequences; and a computer implemented boundary selection sub-system adapted to process the audio voice message to determine a type of at least one portion of the audio voice message as being a greeting portion, a message body portion and/or a tail portion of the audio voice message received from the caller and to select, based on a selected optimal conversion strategy, one or more different pieces of ASR for recognizing the at least one portion based on the type determined. | 1. A voice messaging system for converting an audio voice message from a caller into text, the voice messaging system comprising: a plurality of conversion resources for converting the audio voice message into the text for an intended recipient, the plurality of conversion resources comprising: at least one automatic speech recognition (ASR) system to automatically recognize at least some of the audio voice message and generate a plurality of candidate word or phrase sequences; and a computer implemented boundary selection sub-system adapted to process the audio voice message to determine a type of at least one portion of the audio voice message as being a greeting portion, a message body portion and/or a tail portion of the audio voice message received from the caller and to select, based on a selected optimal conversion strategy, one or more different pieces of ASR for recognizing the at least one portion based on the type determined. 10. The system of claim 1 in which the audio voice message is intended for an instant messaging service and the audio voice message is converted to text and sent to the instant messaging service for display on a screen. | 0.681686 |
8,180,751 | 16 | 20 | 16. A computer system, comprising: a memory storing an algorithm; and a processor to execute the algorithm to: crawl a computer network to identify documents that name individuals; use articles in an encyclopedia to generate summaries of the documents; build profiles of the individuals with the summaries; and search the profiles to provide responses to queries. | 16. A computer system, comprising: a memory storing an algorithm; and a processor to execute the algorithm to: crawl a computer network to identify documents that name individuals; use articles in an encyclopedia to generate summaries of the documents; build profiles of the individuals with the summaries; and search the profiles to provide responses to queries. 20. The computer system of claim 16 further comprising, an index engine to index the articles in the encyclopedia, recognize spurious articles, and remove articles that are similar to terms in segments of the documents. | 0.585227 |
7,620,648 | 1 | 5 | 1. A method for exchanging information between entities on a network comprising: installing an annotation management system on the network; identifying a plurality of annotatable heterogeneous data objects, each manipulated by a corresponding one of a plurality of applications on the network, wherein each of the plurality of applications specifies an indexing mechanism for indexing data objects associated with a respective application, and wherein the indexing mechanism for each of the plurality of applications is different from one another; and providing a set of one or more configuration tools configured to: allow a user to define an annotation structure containing one or more annotation fields for annotations created for a respective application, and wherein one or more of the annotation fields are used to store metadata included in a given annotation and wherein one or more of the annotation fields store metadata used to index an annotation according to the indexing mechanism and mapping function associated with the respective application; associate the annotation structure with at least one of the plurality of applications; allow a user to define roles configured to determine the type of information captured or viewed in an annotation created for a given data object of a given application; and associate annotation structures defined by the user with combinations of the user defined roles and annotatable data objects, whereby a subsequent request to annotate a given annotatable data objects results in a selection of one or more of the associated annotation structures based on a match between a role of a user making the subsequent request and the role associated with the one or more of the associated annotation structures. | 1. A method for exchanging information between entities on a network comprising: installing an annotation management system on the network; identifying a plurality of annotatable heterogeneous data objects, each manipulated by a corresponding one of a plurality of applications on the network, wherein each of the plurality of applications specifies an indexing mechanism for indexing data objects associated with a respective application, and wherein the indexing mechanism for each of the plurality of applications is different from one another; and providing a set of one or more configuration tools configured to: allow a user to define an annotation structure containing one or more annotation fields for annotations created for a respective application, and wherein one or more of the annotation fields are used to store metadata included in a given annotation and wherein one or more of the annotation fields store metadata used to index an annotation according to the indexing mechanism and mapping function associated with the respective application; associate the annotation structure with at least one of the plurality of applications; allow a user to define roles configured to determine the type of information captured or viewed in an annotation created for a given data object of a given application; and associate annotation structures defined by the user with combinations of the user defined roles and annotatable data objects, whereby a subsequent request to annotate a given annotatable data objects results in a selection of one or more of the associated annotation structures based on a match between a role of a user making the subsequent request and the role associated with the one or more of the associated annotation structures. 5. The method of claim 1 , wherein the configuration tools: allow a user to specify one or more annotation field groups; and allow annotation field groups to be added to annotation structures. | 0.586207 |
8,688,727 | 11 | 12 | 11. The method of claim 1 , further comprising: determining that the search query is parent-like; and selecting only candidate refinement queries that are parent-like as being refinement queries for the search query. | 11. The method of claim 1 , further comprising: determining that the search query is parent-like; and selecting only candidate refinement queries that are parent-like as being refinement queries for the search query. 12. The method of claim 11 , where determining that a particular query is parent-like includes: generating a modified query that semantically represents a grouping, where the grouping is related to a lexical item represented by the particular query; and determining that the particular query is parent-like when the modified query has a frequency of being submitted beyond a threshold value. | 0.5 |
8,457,610 | 7 | 8 | 7. The method of claim 6 , further comprising generating a blogging tour map based on the GPS coordinates inserted into a plurality of draft blog entries, the blogging tour map comprising a plurality of nodes, each node representing a blog entry, and connected by paths to indicate an order of blog entries. | 7. The method of claim 6 , further comprising generating a blogging tour map based on the GPS coordinates inserted into a plurality of draft blog entries, the blogging tour map comprising a plurality of nodes, each node representing a blog entry, and connected by paths to indicate an order of blog entries. 8. The method of claim 7 , further comprising providing selectable nodes in the blogging tour map, each selectable node linked to a corresponding draft blog entry and adapted to display data relating to the corresponding draft blog entry. | 0.5 |
7,926,112 | 11 | 13 | 11. A system, comprising: a computer readable storage medium storing program instructions for protecting a computing device from potentially harmful code in a document; a processor in communication with the computer readable storage medium to acquire and execute the program instructions, wherein the processor executes the program instructions to: receive a data structure representation of the document; add dynamically one or more definitions of potentially harmful active content to an editable configuration file, each definition identifying potentially harmful active content and specifying an action to be performed on that potentially harmful active content if that potentially harmful active content is found in the document; parse the editable configuration file to generate a data structure representation of the one or more definitions in the editable configuration file; compare the data structure representation of the document with the data structure representation of the one or more definitions of potentially harmful active content to identify potentially harmful active content within the document; and modify the document to render harmless any identified potentially harmful active content before presenting the document to the computing device. | 11. A system, comprising: a computer readable storage medium storing program instructions for protecting a computing device from potentially harmful code in a document; a processor in communication with the computer readable storage medium to acquire and execute the program instructions, wherein the processor executes the program instructions to: receive a data structure representation of the document; add dynamically one or more definitions of potentially harmful active content to an editable configuration file, each definition identifying potentially harmful active content and specifying an action to be performed on that potentially harmful active content if that potentially harmful active content is found in the document; parse the editable configuration file to generate a data structure representation of the one or more definitions in the editable configuration file; compare the data structure representation of the document with the data structure representation of the one or more definitions of potentially harmful active content to identify potentially harmful active content within the document; and modify the document to render harmless any identified potentially harmful active content before presenting the document to the computing device. 13. The system of claim 11 , wherein the processor further executes the program instructions to transmit the modified document to the computing device over a network after the potentially harmful active content is rendered harmless. | 0.61204 |
9,965,540 | 6 | 8 | 6. A computer-implemented method of facilitating the association of semantic labels with content, the method being implemented in a computer system comprising one or more processors configured to execute computer modules, the method comprising: obtaining a matched set of documents, wherein the matched set of documents includes a structured document and a unstructured document having related content; identifying numeric instances present in the structured document and the unstructured document such that a first set of numeric instances present in the structured document are identified and a second set of numeric instances present in the unstructured document are identified, wherein the individual numeric instances represent numbers; correlating numeric instances in the first set of numeric instances and the second set of numeric instances that express matching numbers such that, responsive to the first set of numeric instances including a first numeric instance expressing the first number and the second set of numeric instances including a second numeric instance expressing the first number, the first numeric instance and the second numeric instance are correlated based on the common expression of the first number; determining structured contextual information for the first numeric instance responsive to correlation of the first numeric instance with the second numeric instance, such structured contextual information labeling the first numeric instance and/or content associated with the first numeric instance in the first structured document, such structured contextual information including one or more of a semantic label, a dimension, or an attribute of the first numeric instance and/or the content associated with the first numeric instance; determining unstructured contextual information for the second numeric instance responsive to correlation of the first numeric instance with the second numeric instance, the unstructured contextual information including the content appearing with the second numeric instance in the first unstructured document; analyzing associated structured contextual information for the first numeric instance and content appearing with the second numeric instance to determine one or more trends in the associated contextual information; facilitating user entry of content into a second unstructured document being authored by a user through a graphical user interface presented to the user subsequent to correlation of the numeric instances in the first structured document and the first unstructured document; and determining and presenting to the user, through the graphical user interface concurrent with user entry of content, suggested semantic labels for content being entered to the second unstructured document by the user based on the trends in the associated contextual information, such presentation being performed during the user entry of the content into the second unstructured document through the graphical user interface. | 6. A computer-implemented method of facilitating the association of semantic labels with content, the method being implemented in a computer system comprising one or more processors configured to execute computer modules, the method comprising: obtaining a matched set of documents, wherein the matched set of documents includes a structured document and a unstructured document having related content; identifying numeric instances present in the structured document and the unstructured document such that a first set of numeric instances present in the structured document are identified and a second set of numeric instances present in the unstructured document are identified, wherein the individual numeric instances represent numbers; correlating numeric instances in the first set of numeric instances and the second set of numeric instances that express matching numbers such that, responsive to the first set of numeric instances including a first numeric instance expressing the first number and the second set of numeric instances including a second numeric instance expressing the first number, the first numeric instance and the second numeric instance are correlated based on the common expression of the first number; determining structured contextual information for the first numeric instance responsive to correlation of the first numeric instance with the second numeric instance, such structured contextual information labeling the first numeric instance and/or content associated with the first numeric instance in the first structured document, such structured contextual information including one or more of a semantic label, a dimension, or an attribute of the first numeric instance and/or the content associated with the first numeric instance; determining unstructured contextual information for the second numeric instance responsive to correlation of the first numeric instance with the second numeric instance, the unstructured contextual information including the content appearing with the second numeric instance in the first unstructured document; analyzing associated structured contextual information for the first numeric instance and content appearing with the second numeric instance to determine one or more trends in the associated contextual information; facilitating user entry of content into a second unstructured document being authored by a user through a graphical user interface presented to the user subsequent to correlation of the numeric instances in the first structured document and the first unstructured document; and determining and presenting to the user, through the graphical user interface concurrent with user entry of content, suggested semantic labels for content being entered to the second unstructured document by the user based on the trends in the associated contextual information, such presentation being performed during the user entry of the content into the second unstructured document through the graphical user interface. 8. The method of claim 6 , further comprising: associating content appearing with the second numeric instance in the first unstructured document with the structured contextual information for the first numeric instance in the first structured document; and storing the associations to non-transient electronic storage, wherein associating the structured contextual information for the first numeric instance with the content appearing with the second numeric instance includes associating textual content appearing with the second numeric instance with the information labeling the first numeric instance. | 0.5 |
9,477,749 | 11 | 14 | 11. The method of claim 8 , further comprising: associating the observation selected by the user with an unstructured text document of the unstructured data, wherein the features extracted from the unstructured data comprise features extracted from the unstructured text document; and selecting the features extracted from the unstructured text document associated with the observation selected by the user as candidate causal factors. | 11. The method of claim 8 , further comprising: associating the observation selected by the user with an unstructured text document of the unstructured data, wherein the features extracted from the unstructured data comprise features extracted from the unstructured text document; and selecting the features extracted from the unstructured text document associated with the observation selected by the user as candidate causal factors. 14. The method of claim 11 , further comprising: selecting category topics from unstructured text documents associated with the observation as candidate causal factors. | 0.5 |
8,340,291 | 1 | 6 | 1. A method for automatic verification of free formatted variable text size page producing page certification of previous dynamic protection obtained by non experts in an office environment including a plurality of workers, printers, and materials, of full integrity against falsifications, content changes, unauthorized viewing, and distinguishing original from copy, of free formatted descriptive multi-page documents printed in regular paper, page by page and that set of pages verified are part of a single version of document, comprising: receiving, at a remote expertise center, from a plurality of different digitally certified users (multi issuer), encrypted content to be included in a printed document, wherein the encrypted content is independent of predetermined formats of pages in the document; selecting and processing, at the remote expertise center, a customized plurality of security features to be included on the printed document page the customized plurality of security features comprising a subset of available security features that are selected at least in part based on a selected printer model of the digitally certified user that is to be used to print the printed document; encoding and encrypting content text of the encrypted content as part of a security bar to be included on the printed document page; generating the customized plurality of security features including at least one remote graphic security feature and at least one electronic security feature, integrated to work as complementary and non-overlapping protection barriers, to be included on the printed document page, at least one of the security features representing the full content text that may include variable size text per page and at least one of the security features determined independently of the content text, wherein the security features enable the distinguishing of the original document printed page from copy of the document printed page, thereby providing document protection to different ages and technologies of copy equipment and scanning equipment, and the one or more security features usable to generate different alerts when the document page is a copy and not an original, independently of copier equipment used to copy documents; generating, at the remote expertise center, digital signature for the document page to be printed at the location of the certified user; transmitting, from the remote expertise center, a print command directly to the issuer selected printer model, using printer driver instructions of the selected specific printer model, assigned according to particular location of the digitally certified user, the print command bypassing an operational system of the digitally certified user, and the print command including the digital signature, content, and the plurality of security features tuned individually based on the selected printer in accordance with printer model specifications; and verifying the digital signature of the printed document page before or just after printing of the printed document page to detect and indicate at least one of any improper alteration or improper interception. | 1. A method for automatic verification of free formatted variable text size page producing page certification of previous dynamic protection obtained by non experts in an office environment including a plurality of workers, printers, and materials, of full integrity against falsifications, content changes, unauthorized viewing, and distinguishing original from copy, of free formatted descriptive multi-page documents printed in regular paper, page by page and that set of pages verified are part of a single version of document, comprising: receiving, at a remote expertise center, from a plurality of different digitally certified users (multi issuer), encrypted content to be included in a printed document, wherein the encrypted content is independent of predetermined formats of pages in the document; selecting and processing, at the remote expertise center, a customized plurality of security features to be included on the printed document page the customized plurality of security features comprising a subset of available security features that are selected at least in part based on a selected printer model of the digitally certified user that is to be used to print the printed document; encoding and encrypting content text of the encrypted content as part of a security bar to be included on the printed document page; generating the customized plurality of security features including at least one remote graphic security feature and at least one electronic security feature, integrated to work as complementary and non-overlapping protection barriers, to be included on the printed document page, at least one of the security features representing the full content text that may include variable size text per page and at least one of the security features determined independently of the content text, wherein the security features enable the distinguishing of the original document printed page from copy of the document printed page, thereby providing document protection to different ages and technologies of copy equipment and scanning equipment, and the one or more security features usable to generate different alerts when the document page is a copy and not an original, independently of copier equipment used to copy documents; generating, at the remote expertise center, digital signature for the document page to be printed at the location of the certified user; transmitting, from the remote expertise center, a print command directly to the issuer selected printer model, using printer driver instructions of the selected specific printer model, assigned according to particular location of the digitally certified user, the print command bypassing an operational system of the digitally certified user, and the print command including the digital signature, content, and the plurality of security features tuned individually based on the selected printer in accordance with printer model specifications; and verifying the digital signature of the printed document page before or just after printing of the printed document page to detect and indicate at least one of any improper alteration or improper interception. 6. The method of claim 1 , wherein said transmitting comprises: determining the selected printer model that is to be used to print the document at the digitally certified user location; verifying which certified printer model is assigned to the user and configured to receive the print command directly from the remote expertise center, selecting to apply a set of instructions for the specific printer model, the print command bypassing the user operational system to avoid interceptions and undue alterations before effective printing; selecting at least one of the customized plurality of security features from a plurality of patterns based on the printer model; formatting the content and plurality of security features based on the printer model; and transmitting the content and security features, along with printer driver commands from the remote expertise center directly to the assigned printer. | 0.680311 |
7,555,713 | 1 | 6 | 1. A system having a CPU and a demonstrating device, a plurality of document types, a plurality of structure templates for modeling a plurality of structures, a plurality of extracting procedures, a plurality of modifying procedures, and a plurality of presenting formats, for helping a reader to read a document efficiently by extracting a plurality of contents from said document, generating a plurality of revised contents by modifying said plurality of contents, and presenting said plurality of revised contents on said demonstrating device with a particular presenting format selected from said plurality of presenting formats, wherein each structure template has a plurality of sub-structure templates and corresponds to a particular document type, wherein each document type corresponds to a particular class of documents categorized according to a plurality of requirements of a plurality of readers, wherein each sub-structure template marks a corresponding content, said system comprising: means for identifying a document type of said document from said plurality of document types by using at least one method selected from a group comprising source identification, author identification, title identification, topic identification, vocabulary identification, 4WH identification and author specification; means for determining a particular structure template from said plurality of structure templates according to said document type; means for building a structure with a plurality of sub-structures by instancing said particular structure template; means for extracting said plurality of contents from said document according to said plurality of extracting procedures, wherein said plurality of extracting procedures extract information according to a plurality of preferences of said reader; means for generating a plurality of revised contents by applying said plurality of modifying procedures on said plurality of contents, wherein said plurality of modifying procedures amend information according to said plurality of preferences of said reader; means for filling said plurality of sub-structures by said plurality of revised contents; means for organizing said structure into a structured document; and means for presenting said structure document through said demonstrating device according to said particular presenting format, whereby said structured document is significantly different from said document with information modified according to said plurality of preferences of said reader; and whereby said system extracts said plurality of contents from said document by running said plurality of extracting procedures on said CPU, organizes said plurality of contents in said structure, modifying said plurality of contents by said plurality of modifying procedures, and presents said plurality of revised contents on said demonstrating device according to said particular presenting format. | 1. A system having a CPU and a demonstrating device, a plurality of document types, a plurality of structure templates for modeling a plurality of structures, a plurality of extracting procedures, a plurality of modifying procedures, and a plurality of presenting formats, for helping a reader to read a document efficiently by extracting a plurality of contents from said document, generating a plurality of revised contents by modifying said plurality of contents, and presenting said plurality of revised contents on said demonstrating device with a particular presenting format selected from said plurality of presenting formats, wherein each structure template has a plurality of sub-structure templates and corresponds to a particular document type, wherein each document type corresponds to a particular class of documents categorized according to a plurality of requirements of a plurality of readers, wherein each sub-structure template marks a corresponding content, said system comprising: means for identifying a document type of said document from said plurality of document types by using at least one method selected from a group comprising source identification, author identification, title identification, topic identification, vocabulary identification, 4WH identification and author specification; means for determining a particular structure template from said plurality of structure templates according to said document type; means for building a structure with a plurality of sub-structures by instancing said particular structure template; means for extracting said plurality of contents from said document according to said plurality of extracting procedures, wherein said plurality of extracting procedures extract information according to a plurality of preferences of said reader; means for generating a plurality of revised contents by applying said plurality of modifying procedures on said plurality of contents, wherein said plurality of modifying procedures amend information according to said plurality of preferences of said reader; means for filling said plurality of sub-structures by said plurality of revised contents; means for organizing said structure into a structured document; and means for presenting said structure document through said demonstrating device according to said particular presenting format, whereby said structured document is significantly different from said document with information modified according to said plurality of preferences of said reader; and whereby said system extracts said plurality of contents from said document by running said plurality of extracting procedures on said CPU, organizes said plurality of contents in said structure, modifying said plurality of contents by said plurality of modifying procedures, and presents said plurality of revised contents on said demonstrating device according to said particular presenting format. 6. The system in claim 1 , said system further comprising means selected from a group comprising means for creating a new structure template, means for displaying all available structure templates associated with a document type, means for modifying an existing structure template, and means for modifying a particular structure. | 0.893596 |
8,918,709 | 1 | 8 | 1. A computer-implemented method for applying a template to one or more objects in an object template system, the method comprising: receiving from a user a template selection identifying a template to apply, wherein the template represents an information technology (IT) object in an IT management software application, and wherein an object is a software data structure that has significance to a business organization, wherein each object has a defined type, a defined role for each type, and can have one or more associated relationships with other object types; selecting a property defined in the template, wherein the template presets one or more properties of an instance of an object type with which the template is associated; applying the selected template property to an existing object instance stored in the object template system, wherein the object instance existed before applying the template; determining whether the template includes multiple levels of objects; and in response to determining that the template includes multiple levels of objects, identifying at least one sub-object of the object instance that matches a hierarchical pattern described in the template; and applying properties of the sub-object specified in the template to the identified sub-object, wherein the preceding steps are performed by at least one processor. | 1. A computer-implemented method for applying a template to one or more objects in an object template system, the method comprising: receiving from a user a template selection identifying a template to apply, wherein the template represents an information technology (IT) object in an IT management software application, and wherein an object is a software data structure that has significance to a business organization, wherein each object has a defined type, a defined role for each type, and can have one or more associated relationships with other object types; selecting a property defined in the template, wherein the template presets one or more properties of an instance of an object type with which the template is associated; applying the selected template property to an existing object instance stored in the object template system, wherein the object instance existed before applying the template; determining whether the template includes multiple levels of objects; and in response to determining that the template includes multiple levels of objects, identifying at least one sub-object of the object instance that matches a hierarchical pattern described in the template; and applying properties of the sub-object specified in the template to the identified sub-object, wherein the preceding steps are performed by at least one processor. 8. The method of claim 1 wherein determining whether the template includes multiple levels of objects comprises navigating a hierarchy of the template and identifying sub-objects of a main object. | 0.588235 |
8,160,991 | 11 | 12 | 11. The non-transitory computer readable medium of claim 10 , wherein the computer program further comprises a set of instructions for receiving, from the server, information indicating a group of data formats that the server automatically identifies as associated with the particular country by applying the server's automatic estimation of the particular country to the set of system settings, wherein the group of data formats is selected by excluding data formats that are not associated with the particular country from a set of data formats that are associated with a plurality of countries. | 11. The non-transitory computer readable medium of claim 10 , wherein the computer program further comprises a set of instructions for receiving, from the server, information indicating a group of data formats that the server automatically identifies as associated with the particular country by applying the server's automatic estimation of the particular country to the set of system settings, wherein the group of data formats is selected by excluding data formats that are not associated with the particular country from a set of data formats that are associated with a plurality of countries. 12. The non-transitory computer readable medium of claim 11 , wherein the set of data formats comprises a plurality of currency types associated with the plurality of countries, wherein the group of data formats comprises a currency type associated with the particular country. | 0.5 |
8,396,736 | 22 | 23 | 22. One or more non-transitory computer storage media storing computer executable instructions which when executed by a computer system perform a method for generating a process model representation for each of a plurality of activity chunks in a process such that each process model representation is arranged to be displayed on a single page, the method comprising: receiving, by one or more processors of the computer system, a Work Product/Activities/Roles (WAR) template for a process, the WAR template defining each work product that is used by the process, each activity performed by the process, and each role that performs an activity in the process, each activity being associated with one of a plurality of activity chunks defined for the process; generating, by one or more processors of the computer system, and for each of the activity chunks, a process activity template, each process activity template defining: any inputs used by the activity chunk; entry criteria defining when the activity chunk is to be performed; which role is responsible for performing each activity in the activity chunk; any outputs produced by the activity chunk; and exit criteria defining when the activity chunk is completed; generating, by one or more processors of the computer system, and for each process activity template, a process model representation, each process model representation being arranged to be displayed on a single page, each process model representation comprising: a graphical representation of the flow between the activities in the represented activity chunk; and a graphical representation of the inputs, entry criteria, roles involved in performing the activities of the represented activity chunk, outputs, and exit criteria. | 22. One or more non-transitory computer storage media storing computer executable instructions which when executed by a computer system perform a method for generating a process model representation for each of a plurality of activity chunks in a process such that each process model representation is arranged to be displayed on a single page, the method comprising: receiving, by one or more processors of the computer system, a Work Product/Activities/Roles (WAR) template for a process, the WAR template defining each work product that is used by the process, each activity performed by the process, and each role that performs an activity in the process, each activity being associated with one of a plurality of activity chunks defined for the process; generating, by one or more processors of the computer system, and for each of the activity chunks, a process activity template, each process activity template defining: any inputs used by the activity chunk; entry criteria defining when the activity chunk is to be performed; which role is responsible for performing each activity in the activity chunk; any outputs produced by the activity chunk; and exit criteria defining when the activity chunk is completed; generating, by one or more processors of the computer system, and for each process activity template, a process model representation, each process model representation being arranged to be displayed on a single page, each process model representation comprising: a graphical representation of the flow between the activities in the represented activity chunk; and a graphical representation of the inputs, entry criteria, roles involved in performing the activities of the represented activity chunk, outputs, and exit criteria. 23. The one or more computer storage media of claim 22 , wherein each process model representation also includes an indication of which role performs each activity in the represented activity chunk. | 0.526316 |
8,595,213 | 1 | 13 | 1. A computer-implemented method comprising: accessing a program with one or more queries to a database that contains relations described by at least one database schema; receiving the database schema and at least one entity type hierarchy for the database; and inferring a first type program from definitions in the program by replacing each use of a database relation in the program by its type in the database schema, and the type is at least portion of a second type program, wherein each of the first type program and the second type program is a derived program using type symbols without other extensional relation symbols, and each of the first type program and the second type program do not contain negation, wherein the first type program and the second type program uses monadic extensions; testing portion of the first type program that has been inferred for type emptiness and type inclusion; and providing at least one of error information and optimization information regarding the type emptiness and type inclusion being found for the type. | 1. A computer-implemented method comprising: accessing a program with one or more queries to a database that contains relations described by at least one database schema; receiving the database schema and at least one entity type hierarchy for the database; and inferring a first type program from definitions in the program by replacing each use of a database relation in the program by its type in the database schema, and the type is at least portion of a second type program, wherein each of the first type program and the second type program is a derived program using type symbols without other extensional relation symbols, and each of the first type program and the second type program do not contain negation, wherein the first type program and the second type program uses monadic extensions; testing portion of the first type program that has been inferred for type emptiness and type inclusion; and providing at least one of error information and optimization information regarding the type emptiness and type inclusion being found for the type. 13. The computer-implemented method of claim 1 , wherein the one or more queries to the database contain calls to other query procedures, and an approximation is used to optimize these called procedures, by eliminating query parts that will return an empty set of results in a context where they are called, regardless of any contents of the database. | 0.830762 |
9,128,921 | 2 | 3 | 2. The method of claim 1 , wherein the candidate word correction replaces letters in the received input and/or removes letters in the received input. | 2. The method of claim 1 , wherein the candidate word correction replaces letters in the received input and/or removes letters in the received input. 3. The method of claim 2 , wherein the candidate word correction completes the received input while correcting the received input. | 0.5 |
7,613,666 | 18 | 19 | 18. The article of manufacture of claim 11 wherein the data causing the machine to perform the operation (c) comprise data that, when accessed by the machine, cause the machine to perform operations comprising: for each placeholder of each sentential form in the vocabulary, creating an attribute for the placeholder within the class created for the corresponding sentential form. | 18. The article of manufacture of claim 11 wherein the data causing the machine to perform the operation (c) comprise data that, when accessed by the machine, cause the machine to perform operations comprising: for each placeholder of each sentential form in the vocabulary, creating an attribute for the placeholder within the class created for the corresponding sentential form. 19. The article of manufacture of claim 18 wherein the data causing the machine to perform the operation of creating an attribute for the placeholder comprise data that, when accessed by the machine, cause the machine to perform operations comprising: assigning a name to the attribute using the text of the term specified for the placeholder. | 0.573383 |
9,715,542 | 19 | 21 | 19. A computerized method of organizing multiple objects for display in a results list, comprising: correlating query terms in a database search query with user-entered tags associated with multiple objects as a result of user input, thereby defining one or more corresponding tag-object pairs, wherein each tag comprises one or more tag terms, each tag term comprising text, and wherein each association of an object with a tag comprises a tag object pair; associating each tag term from the one or more tag terms with an object, thereby defining one or more corresponding tag term object pairs; determining for each term object pair a tag term score indicating a degree of relevance between the term and the object, wherein at least one of the tags comprises a string of multiple terms entered by a user, wherein a tag term score for an object X and a term A is a function of a combination comprising a total number of different terms in a tag database storing the tags, a total number of tags present in the tag database, a frequency with which the term A is present in the tag database, a number of different terms with which the object X has been tagged, a total number of tags associated with the object X, and a number of different objects that have been tagged with the term A; determining for each tag object pair a relevance metric comprising combining the tag term scores from the term object pairs for each tag term in the tag; and returning the results list containing the multiple objects organized based on the correlations, wherein each correlation corresponds to a relevance metric. | 19. A computerized method of organizing multiple objects for display in a results list, comprising: correlating query terms in a database search query with user-entered tags associated with multiple objects as a result of user input, thereby defining one or more corresponding tag-object pairs, wherein each tag comprises one or more tag terms, each tag term comprising text, and wherein each association of an object with a tag comprises a tag object pair; associating each tag term from the one or more tag terms with an object, thereby defining one or more corresponding tag term object pairs; determining for each term object pair a tag term score indicating a degree of relevance between the term and the object, wherein at least one of the tags comprises a string of multiple terms entered by a user, wherein a tag term score for an object X and a term A is a function of a combination comprising a total number of different terms in a tag database storing the tags, a total number of tags present in the tag database, a frequency with which the term A is present in the tag database, a number of different terms with which the object X has been tagged, a total number of tags associated with the object X, and a number of different objects that have been tagged with the term A; determining for each tag object pair a relevance metric comprising combining the tag term scores from the term object pairs for each tag term in the tag; and returning the results list containing the multiple objects organized based on the correlations, wherein each correlation corresponds to a relevance metric. 21. The method of claim 19 , further comprising applying a statistical classification or rank regression algorithm to the multiple objects to determine relevance metrics between the multiple objects and terms in the search query. | 0.5 |
8,423,982 | 10 | 12 | 10. A computer-implemented method for identifying a command and associating it with a file that is being edited, comprising: modifying a file reader of a compiler to read from a standard input; triggering the compilation of a portion of a source code program whose upper bound is defined by an identified waypoint; invoking the compiler to read the file from the modified file reader through the standard input; and compiling, with a compiler configured for transforming computer code from a first form to a second form, the remaining source code upon completing compiling of the portion of the source code program whose upper bound is defined by the identified waypoint. | 10. A computer-implemented method for identifying a command and associating it with a file that is being edited, comprising: modifying a file reader of a compiler to read from a standard input; triggering the compilation of a portion of a source code program whose upper bound is defined by an identified waypoint; invoking the compiler to read the file from the modified file reader through the standard input; and compiling, with a compiler configured for transforming computer code from a first form to a second form, the remaining source code upon completing compiling of the portion of the source code program whose upper bound is defined by the identified waypoint. 12. The computer-implemented method of claim 10 , wherein modifying the file reader to read from the open system call includes modifying the identified file reader to read from a UNIX gcc command. | 0.5 |
7,685,141 | 1 | 7 | 1. A method comprising: establishing a first entity and a second entity in an entity relationship graph, wherein the entity relationship graph comprises a set of entities interconnected through a plurality of edge relationships and wherein the first entity and the second entity are included in the set of entities; assigning an initial activation value to the first entity; creating an activation value distribution in the entity relationship graph by spreading the initial activation value assigned to the first entity to other entities in the entity relationship graph; determining an activation value at the second entity in the activation value distribution; determining a plurality of candidate path relationships between the first entity and the second entity, wherein each of the plurality of candidate path relationships terminates at both the first entity and the second entity and comprises one or more edge relationships in the plurality of edge relationships; for each candidate path relationship in the plurality of candidate path relationships: determining a path type that is associated with a candidate path relationship; and generating a score value for the candidate path relationship based in part on the path type that is associated with the candidate path relationship; wherein the score value represents a likelihood that the candidate path relationship is of interest to a user; and selecting, in the plurality of candidate path relationships, one candidate path relationship having a score value that satisfies one or more first criteria; wherein the plurality of candidate path relationships is identified as one or more path relationships whose contributions to the activation value at the second entity satisfy one or more second criteria; wherein the method is performed by one or more computing devices. | 1. A method comprising: establishing a first entity and a second entity in an entity relationship graph, wherein the entity relationship graph comprises a set of entities interconnected through a plurality of edge relationships and wherein the first entity and the second entity are included in the set of entities; assigning an initial activation value to the first entity; creating an activation value distribution in the entity relationship graph by spreading the initial activation value assigned to the first entity to other entities in the entity relationship graph; determining an activation value at the second entity in the activation value distribution; determining a plurality of candidate path relationships between the first entity and the second entity, wherein each of the plurality of candidate path relationships terminates at both the first entity and the second entity and comprises one or more edge relationships in the plurality of edge relationships; for each candidate path relationship in the plurality of candidate path relationships: determining a path type that is associated with a candidate path relationship; and generating a score value for the candidate path relationship based in part on the path type that is associated with the candidate path relationship; wherein the score value represents a likelihood that the candidate path relationship is of interest to a user; and selecting, in the plurality of candidate path relationships, one candidate path relationship having a score value that satisfies one or more first criteria; wherein the plurality of candidate path relationships is identified as one or more path relationships whose contributions to the activation value at the second entity satisfy one or more second criteria; wherein the method is performed by one or more computing devices. 7. A method as recited in claim 1 , wherein the score value for the candidate path relationship includes a first measure that indicates how strongly the first entity and the second entity are connected through the candidate path relationship. | 0.715294 |
8,407,231 | 15 | 20 | 15. A non-transitory computer-readable storage medium having computer-readable instructions stored thereon, the computer-readable instructions comprising: one or more instructions to receive history data for a document, the history data comprising an appearance date for each of a plurality of links to document; one or more instructions to determine, from the history data, that there has been a decrease in a rate or quantity of appearances of new links that point to the document over time, and then classify the document as stale, the one or more instructions to determine that there has been a decrease in the rate or quantity of appearances of new links that point to the document over time, including: one or more instructions to compare an oldest appearance date, of the appearance dates of the links to the document, to an oldest appearance date of the appearance dates of a group of newest links to the document, each link in the group of newest links to the document having an appearance date that is within a percentage of most recent appearance dates of the links to the document; one or more instructions to decrease, based on classifying the document as stale, an initial score for the document, resulting in an altered score; and one or more instructions to rank the document with regard to at least one other document based on the altered score. | 15. A non-transitory computer-readable storage medium having computer-readable instructions stored thereon, the computer-readable instructions comprising: one or more instructions to receive history data for a document, the history data comprising an appearance date for each of a plurality of links to document; one or more instructions to determine, from the history data, that there has been a decrease in a rate or quantity of appearances of new links that point to the document over time, and then classify the document as stale, the one or more instructions to determine that there has been a decrease in the rate or quantity of appearances of new links that point to the document over time, including: one or more instructions to compare an oldest appearance date, of the appearance dates of the links to the document, to an oldest appearance date of the appearance dates of a group of newest links to the document, each link in the group of newest links to the document having an appearance date that is within a percentage of most recent appearance dates of the links to the document; one or more instructions to decrease, based on classifying the document as stale, an initial score for the document, resulting in an altered score; and one or more instructions to rank the document with regard to at least one other document based on the altered score. 20. The non-transitory computer-readable storage medium of claim 15 , where the history data is first history data, and where the document is a first document, where the computer-readable instructions further comprise: one or more instructions to receive second history data for a second document, the second history data comprising a disappearance date for each of a plurality of links to the second document; one or more instructions to determine, based on the second history data, that there has been a decrease in a rate or quantity of disappearances of links that point to the second document over time; one or more instructions to classify the second document as stale based on determining that there has been a decrease in the rate or quantity of disappearances of links that point to the second document over time; and one or more instructions to decrease an initial score for the second document based on classifying the second document as stale. | 0.5 |
7,792,667 | 34 | 36 | 34. The tangible computer readable storage medium according to claim 33 , wherein the method further comprises: retrieving a sentence from the document, the sentence containing the sequence of words, if the sequence of words is a significant phrase; and searching an abstract of the document to determine whether the sentence is included in the abstract. | 34. The tangible computer readable storage medium according to claim 33 , wherein the method further comprises: retrieving a sentence from the document, the sentence containing the sequence of words, if the sequence of words is a significant phrase; and searching an abstract of the document to determine whether the sentence is included in the abstract. 36. The tangible computer readable storage medium according to claim 34 , wherein the method further comprises discarding the sentence if the sentence is included in the abstract. | 0.550251 |
8,190,684 | 1 | 14 | 1. A method of intelligently distributing, in a networked environment, an object that represents an offering, the method comprising: receiving a request from a user initiated at a computing device to create the object to represent the offering; creating the object to represent the offering to be made available for access in the networked environment, the object being created to include metadata specifying criteria of target recipients of the offering; wherein, the criteria of target recipients are received in the networked environment from the user that requested creation of the object, matching the criteria specified in the metadata of the object to users in the networked environment, to find recipients who satisfy the criteria; automatically sending the offering represented by the object to the recipients who satisfy the criteria specified in the metadata; automatically generating multiple versions of the object to represent the offering based on an example object specified by the user; test-posting the multiple versions to compute price-performance attributes of each of the multiple versions. | 1. A method of intelligently distributing, in a networked environment, an object that represents an offering, the method comprising: receiving a request from a user initiated at a computing device to create the object to represent the offering; creating the object to represent the offering to be made available for access in the networked environment, the object being created to include metadata specifying criteria of target recipients of the offering; wherein, the criteria of target recipients are received in the networked environment from the user that requested creation of the object, matching the criteria specified in the metadata of the object to users in the networked environment, to find recipients who satisfy the criteria; automatically sending the offering represented by the object to the recipients who satisfy the criteria specified in the metadata; automatically generating multiple versions of the object to represent the offering based on an example object specified by the user; test-posting the multiple versions to compute price-performance attributes of each of the multiple versions. 14. The method of claim 1 , wherein the offering comprises, finding or procuring items. | 0.844086 |
8,930,490 | 11 | 12 | 11. A system for collection information, enriching the information, and linking the said enriched information, comprising: (a) an application server, wherein a plurality of users are communicatively connected to said application server to create a plurality of lifestreams; and (b) a database for storing said lifestreams created by said users, wherein said application server operates a plurality of lifestream data functions, said functions comprising: (i) a note taking function to allow said user to create a plurality of notes on a computer device, (ii) a recording function for collecting, recording or storing a plurality of recordings on said computer device, wherein said recordings are, in any combination, audio data recordings, video data recordings, or audio-video data recordings, (iii) an annotation function for collecting, recording or storing a plurality of annotation data elements on said computer device, wherein said annotation data elements are externally sensed data of the environment of said user or physiological sensed data of said user, whereby said sensed data is either captured by said user or from said user using a data capture device, (iv) an enriching function for enriching each of said lifestreams and therewith creating a linked network of enriched lifestreams available to said user on said computer device by, in any combination: (j) linking one or more segments in each of said recordings with one or more annotation data elements, one or more notes, or a combination thereof, (jj) linking each of said notes with one or more annotation data elements, one or more segments of said recordings, or a combination thereof, or (jjj) linking each of said annotation data elements with one or more notes, one or more segments of said recordings, or a combination thereof; and (v) a filter or search function for filtering or searching said enriched lifestreams or aspects of said enriched lifestreams on said computer device. | 11. A system for collection information, enriching the information, and linking the said enriched information, comprising: (a) an application server, wherein a plurality of users are communicatively connected to said application server to create a plurality of lifestreams; and (b) a database for storing said lifestreams created by said users, wherein said application server operates a plurality of lifestream data functions, said functions comprising: (i) a note taking function to allow said user to create a plurality of notes on a computer device, (ii) a recording function for collecting, recording or storing a plurality of recordings on said computer device, wherein said recordings are, in any combination, audio data recordings, video data recordings, or audio-video data recordings, (iii) an annotation function for collecting, recording or storing a plurality of annotation data elements on said computer device, wherein said annotation data elements are externally sensed data of the environment of said user or physiological sensed data of said user, whereby said sensed data is either captured by said user or from said user using a data capture device, (iv) an enriching function for enriching each of said lifestreams and therewith creating a linked network of enriched lifestreams available to said user on said computer device by, in any combination: (j) linking one or more segments in each of said recordings with one or more annotation data elements, one or more notes, or a combination thereof, (jj) linking each of said notes with one or more annotation data elements, one or more segments of said recordings, or a combination thereof, or (jjj) linking each of said annotation data elements with one or more notes, one or more segments of said recordings, or a combination thereof; and (v) a filter or search function for filtering or searching said enriched lifestreams or aspects of said enriched lifestreams on said computer device. 12. The system as set forth in claim 11 , wherein each of said notes comprise text, audio media, visual media, audio-visual media, recorded data, a weblink, a pointer to an information source, or any combination thereof. | 0.692737 |
7,765,574 | 8 | 10 | 8. A method as in claim 7 wherein the token phrases for the class of multimedia presentations include at least one of: text strings, closed captioned punctuation cues, a named entity and a text string, a named entity and a closed captioned punctuation cue, introductory news broadcast terms, anchor to reporter hand-off phrases, reporter to anchor hand-off phrases, leaders to highlights of upcoming news stories, or sign off phrases. | 8. A method as in claim 7 wherein the token phrases for the class of multimedia presentations include at least one of: text strings, closed captioned punctuation cues, a named entity and a text string, a named entity and a closed captioned punctuation cue, introductory news broadcast terms, anchor to reporter hand-off phrases, reporter to anchor hand-off phrases, leaders to highlights of upcoming news stories, or sign off phrases. 10. A method as in claim 8 wherein the token phrases including the named entity and the text string include “I'm” followed by a <person> named entity. | 0.786325 |
9,286,575 | 1 | 3 | 1. A computer-implemented method comprising: determining, by a computer, a plurality of demographic groups of users of a social networking system, the determining comprising, for each demographic group of users, selecting as plurality of users based on demographic characteristics of the users; for each demographic group of users, generating a model configured to rank news feed stories for presentation to users from the demographic group, the model configured to receive as input, one or more user attributes describing a viewing user and ranking newsfeed stories for the viewing user based on the one or more user attributes, the generating of the model comprising: selecting a set of features for the demographic group based on the characteristics of the users of the demographic group; training the model the training utilizing training sets obtained from the demographic group of users, the model comprising the selected set of features; identifying stories for presentation to a user belonging to a demographic group; providing one or more attributes describing the user as input to the model; and ranking the stories identified for presentation to the user using the model and sending the stories for presentation to the user based on the ranking. | 1. A computer-implemented method comprising: determining, by a computer, a plurality of demographic groups of users of a social networking system, the determining comprising, for each demographic group of users, selecting as plurality of users based on demographic characteristics of the users; for each demographic group of users, generating a model configured to rank news feed stories for presentation to users from the demographic group, the model configured to receive as input, one or more user attributes describing a viewing user and ranking newsfeed stories for the viewing user based on the one or more user attributes, the generating of the model comprising: selecting a set of features for the demographic group based on the characteristics of the users of the demographic group; training the model the training utilizing training sets obtained from the demographic group of users, the model comprising the selected set of features; identifying stories for presentation to a user belonging to a demographic group; providing one or more attributes describing the user as input to the model; and ranking the stories identified for presentation to the user using the model and sending the stories for presentation to the user based on the ranking. 3. The method of claim 1 , wherein selecting the users for a demographic group is based on demographic characteristics of other users connected to the user in the social networking system. | 0.591304 |
9,384,178 | 19 | 24 | 19. An article comprising a storage medium having stored thereon instructions that, when executed by a computing platform, result in having content reviewed by: generating a signature comprising a set of signature values for content to be reviewed, wherein each of the set of signature values is related to a time based flow of the content and each signature value comprises a time value based on a timeline; exporting the content to a review file; sending the review file to one or more reviewers without requiring a server to manage the reviewing of the content; and receiving the annotation file from at least one of the one or more reviewers, wherein: the content is annotated with an annotation; the annotation is associated with a corresponding signature value, wherein the corresponding signature value is one of the set of signature values that corresponds to the occurrence of the annotation with respect to the time based flow of the content; and the annotation is stored in an annotation file along with the corresponding signature value. | 19. An article comprising a storage medium having stored thereon instructions that, when executed by a computing platform, result in having content reviewed by: generating a signature comprising a set of signature values for content to be reviewed, wherein each of the set of signature values is related to a time based flow of the content and each signature value comprises a time value based on a timeline; exporting the content to a review file; sending the review file to one or more reviewers without requiring a server to manage the reviewing of the content; and receiving the annotation file from at least one of the one or more reviewers, wherein: the content is annotated with an annotation; the annotation is associated with a corresponding signature value, wherein the corresponding signature value is one of the set of signature values that corresponds to the occurrence of the annotation with respect to the time based flow of the content; and the annotation is stored in an annotation file along with the corresponding signature value. 24. An article as claimed in claim 19 , wherein the instructions, when executed, further result in having content reviewed by selectively displaying the annotations from at least one of the one or more reviewers if playing the content without displaying annotations from a non-selected reviewer. | 0.573699 |
8,849,659 | 23 | 24 | 23. A non-transitory computer-readable storage medium having instructions stored thereon that, in response to execution by at least one computing device, cause the at least one computing device to: receive mobile device input from a mobile device over a wireless channel, wherein the mobile device input includes a multimedia data stream; receive location information indicating a location of the mobile device, wherein the location information corresponds to the location of a user providing verbal instruction input to the mobile device; analyze an audio clip or video in the multimedia data stream; analyze the location information; and send audio content or video content to the mobile device based at least in part on analysis of the multimedia data stream and the location information in accordance with a game engine instruction. | 23. A non-transitory computer-readable storage medium having instructions stored thereon that, in response to execution by at least one computing device, cause the at least one computing device to: receive mobile device input from a mobile device over a wireless channel, wherein the mobile device input includes a multimedia data stream; receive location information indicating a location of the mobile device, wherein the location information corresponds to the location of a user providing verbal instruction input to the mobile device; analyze an audio clip or video in the multimedia data stream; analyze the location information; and send audio content or video content to the mobile device based at least in part on analysis of the multimedia data stream and the location information in accordance with a game engine instruction. 24. The non-transitory computer-readable storage medium of claim 23 , wherein the instructions further cause the at least one computing device to: search one or more taxonomic databases based on a search query; and return a search result to display on the mobile device. | 0.5 |
8,909,513 | 20 | 21 | 20. The computer-readable medium of claim 17 wherein providing one or more of the candidate emoticons for user selection comprises displaying the set of candidate emoticons on a physical input device or a virtual input device, wherein the physical input device and the virtual input device are configured to receive the entry selection. | 20. The computer-readable medium of claim 17 wherein providing one or more of the candidate emoticons for user selection comprises displaying the set of candidate emoticons on a physical input device or a virtual input device, wherein the physical input device and the virtual input device are configured to receive the entry selection. 21. The computer-readable medium of claim 20 wherein the virtual input device is displayed in close proximity to the text field. | 0.5 |
7,899,657 | 51 | 58 | 51. The system of claim 32 , wherein the program instructions are further executable to: receive a second objective function, wherein the second objective function represents a specified objective of reservoir operations; and use the optimizer and the parameterized model to determine operation of the reservoir that satisfies the second objective function. | 51. The system of claim 32 , wherein the program instructions are further executable to: receive a second objective function, wherein the second objective function represents a specified objective of reservoir operations; and use the optimizer and the parameterized model to determine operation of the reservoir that satisfies the second objective function. 58. The system of claim 51 , wherein, in using the optimizer and the parameterized model to determine operation of the reservoir that satisfies the second objective function subject to one or more operational constraints, the program instructions are further executable to: determine one or more rates of stimulant injection to maximize production. | 0.647773 |
9,282,289 | 3 | 4 | 3. The method of claim 1 , further comprising: receiving an annotation from the viewer computing device attending the meeting; and adding the annotation to the summary document. | 3. The method of claim 1 , further comprising: receiving an annotation from the viewer computing device attending the meeting; and adding the annotation to the summary document. 4. The method of claim 3 , wherein the annotation is encrypted. | 0.515385 |
9,177,051 | 1 | 3 | 1. A method for extracting information from a set of documents, the method comprising: receiving a set of documents; receiving a first concept, the first concept representing first information for extraction from the set of documents, wherein the first concept comprises a plurality of trigger phrases related to the first concept; updating the first concept into a first subset and a second subset, the first subset comprising one or more of the plurality of trigger phrases of the first concept, the second subset comprising remaining trigger phrases of the plurality of trigger phrases of the first concept; creating a second concept based on the first concept, the second concept having a definitional dependency from the first concept, the definitional dependency providing a contextual relationship to the second concept such that the second concept represents second information within a context of the first information; updating the second concept into a third concept and a fourth concept, the third concept depending on the first subset of the first concept, the fourth concept depending on the second subset of the first concept; selecting the second concept; and based on the selection of the second concept, extracting from the set of documents, the second information within the context of the first information. | 1. A method for extracting information from a set of documents, the method comprising: receiving a set of documents; receiving a first concept, the first concept representing first information for extraction from the set of documents, wherein the first concept comprises a plurality of trigger phrases related to the first concept; updating the first concept into a first subset and a second subset, the first subset comprising one or more of the plurality of trigger phrases of the first concept, the second subset comprising remaining trigger phrases of the plurality of trigger phrases of the first concept; creating a second concept based on the first concept, the second concept having a definitional dependency from the first concept, the definitional dependency providing a contextual relationship to the second concept such that the second concept represents second information within a context of the first information; updating the second concept into a third concept and a fourth concept, the third concept depending on the first subset of the first concept, the fourth concept depending on the second subset of the first concept; selecting the second concept; and based on the selection of the second concept, extracting from the set of documents, the second information within the context of the first information. 3. The method of claim 1 , wherein the second information within a context of the first information comprises the second information in a subset of the set of documents containing the first information. | 0.767281 |
8,010,525 | 40 | 42 | 40. A computer-implemented method comprising: receiving a search query; generating first search results that identify resources that a search engine has identified as being responsive to the search query; identifying one or more search modes based on the search query, the resources, or both the search query and the resources; providing a first user interface that presents for display at least a portion of the first search results and a respective search mode selector for each of one or more of the identified one or more search modes; receiving user input selecting a first search mode by selecting one of the search mode selectors, wherein: the first search mode is associated with a first collection of records, all records in the first collection have a common attribute structure of data elements, the first search results identify resources that the search engine has identified from a corpus of resources as being responsive to the search query, and all records in the corpus do not have the common attribute structure of data elements; generating second search results that satisfy the search query and that refer to mode-specific records from the first collection of records that are associated with the first search mode, each of the one or more search modes being associated with a particular collection of records from among multiple collections of records; formatting a plurality of the second search results using a mode-specific presentation template that is associated with the first search mode to generate formatted search results; and providing a second user interface that presents for display the formatted search results. | 40. A computer-implemented method comprising: receiving a search query; generating first search results that identify resources that a search engine has identified as being responsive to the search query; identifying one or more search modes based on the search query, the resources, or both the search query and the resources; providing a first user interface that presents for display at least a portion of the first search results and a respective search mode selector for each of one or more of the identified one or more search modes; receiving user input selecting a first search mode by selecting one of the search mode selectors, wherein: the first search mode is associated with a first collection of records, all records in the first collection have a common attribute structure of data elements, the first search results identify resources that the search engine has identified from a corpus of resources as being responsive to the search query, and all records in the corpus do not have the common attribute structure of data elements; generating second search results that satisfy the search query and that refer to mode-specific records from the first collection of records that are associated with the first search mode, each of the one or more search modes being associated with a particular collection of records from among multiple collections of records; formatting a plurality of the second search results using a mode-specific presentation template that is associated with the first search mode to generate formatted search results; and providing a second user interface that presents for display the formatted search results. 42. The computer-implemented method of claim 40 , wherein: the first search mode is associated with the first collection of records that share the common attribute structure; a second of the search modes is associated with a second collection of records that share a second common attribute structure; and the common attribute structure is different from the second common attribute structure. | 0.71645 |
9,104,744 | 11 | 14 | 11. A system comprising: an input configured to obtain a set of attribute clusters, each cluster associated with a language and each cluster defining of a first set of language indicators shared among a plurality of users who have a common preferred language, and to obtain the first set of language indicators, each language indicator related to a language potentially preferred by a user; a processor configured to: obtain a user profile for a user that contains a second set of language indicators, each language indicator related to a language potentially preferred by the user; apply a clustering algorithm to the user profile to associate it with one of the set of attribute clusters having a highest correlation with the second set of language indicators, wherein the highest correlation indicates the likely language preference of the user is more similar to a language preference of users in the one of the set of attribute clusters than to a language preference of users in at least one other of the set of attribute clusters; and localize a first application based upon the language associated with the cluster to which the user profile is associated, by setting a language for at least one user interface element in the first application, setting a user's default input language, setting a date format, setting a time format, setting a sort order, and setting a writing directionality. | 11. A system comprising: an input configured to obtain a set of attribute clusters, each cluster associated with a language and each cluster defining of a first set of language indicators shared among a plurality of users who have a common preferred language, and to obtain the first set of language indicators, each language indicator related to a language potentially preferred by a user; a processor configured to: obtain a user profile for a user that contains a second set of language indicators, each language indicator related to a language potentially preferred by the user; apply a clustering algorithm to the user profile to associate it with one of the set of attribute clusters having a highest correlation with the second set of language indicators, wherein the highest correlation indicates the likely language preference of the user is more similar to a language preference of users in the one of the set of attribute clusters than to a language preference of users in at least one other of the set of attribute clusters; and localize a first application based upon the language associated with the cluster to which the user profile is associated, by setting a language for at least one user interface element in the first application, setting a user's default input language, setting a date format, setting a time format, setting a sort order, and setting a writing directionality. 14. The system of claim 11 , wherein the set of second language indicators comprises an indication of a language in which data is accessed by the user in a second application different from the first application. | 0.785859 |
6,076,060 | 13 | 14 | 13. The method of claim 12, wherein the step of comparing the input text to the rules in the suffix rule set compares the input text beginning at a rightmost part of the input text and compares in a right to left direction, with respect to the input text, against each rule of the suffix rule set. | 13. The method of claim 12, wherein the step of comparing the input text to the rules in the suffix rule set compares the input text beginning at a rightmost part of the input text and compares in a right to left direction, with respect to the input text, against each rule of the suffix rule set. 14. The method of claim 13, wherein the step of comparing the first remainder text to the rules in the prefix rule set compares the first remainder text beginning at a leftmost part of the first remainder text and compares in a left to right direction, with respect to the first remainder text, against each rule of the prefix rule set. | 0.733756 |
8,302,011 | 1 | 9 | 1. A computer-implemented method for modifying a display of content that includes a first portion that was previously displayed to a user, the method comprising: under control of one or more computer systems configured with executable instructions, receiving a request for content to be displayed to a user, the content being associated with a markup document that is associated with a first URL such that the content is retrievable by accessing the markup document from a location specified by the first URL; retrieving the content associated with the markup document; determining if difference information is available, the difference information indicating a difference between a previous version and a current version of the markup document, the previous version having been presented to the user; accessing user activity tracking information to determine portions of the markup document that were previously displayed to the user; based on the difference information and the user activity tracking information, determining portions of the current version of the markup document that have not previously been displayed to the user; providing the markup document for display to the user at a client system, the content of the markup document including one or more intra page bookmarks indicating portions of the content that were not previously displayed to the user; enabling the user to use the intra page bookmarks to view the portions of the markup document that were not previously displayed to the user; enabling the user to manually insert intra page bookmarks in the markup document allowing the user to start at a desired location after closing the markup document; and enabling the user to selectively choose to display or not display the intra page bookmarks. | 1. A computer-implemented method for modifying a display of content that includes a first portion that was previously displayed to a user, the method comprising: under control of one or more computer systems configured with executable instructions, receiving a request for content to be displayed to a user, the content being associated with a markup document that is associated with a first URL such that the content is retrievable by accessing the markup document from a location specified by the first URL; retrieving the content associated with the markup document; determining if difference information is available, the difference information indicating a difference between a previous version and a current version of the markup document, the previous version having been presented to the user; accessing user activity tracking information to determine portions of the markup document that were previously displayed to the user; based on the difference information and the user activity tracking information, determining portions of the current version of the markup document that have not previously been displayed to the user; providing the markup document for display to the user at a client system, the content of the markup document including one or more intra page bookmarks indicating portions of the content that were not previously displayed to the user; enabling the user to use the intra page bookmarks to view the portions of the markup document that were not previously displayed to the user; enabling the user to manually insert intra page bookmarks in the markup document allowing the user to start at a desired location after closing the markup document; and enabling the user to selectively choose to display or not display the intra page bookmarks. 9. The computer-implemented method of claim 1 , wherein the user activity tracking information is stored on the client system or on a remote server. | 0.695473 |
9,934,283 | 1 | 9 | 1. A method performed by data processing apparatus, the method comprising: obtaining, by the data processing apparatus, search results that are responsive to a received query received from a user; retrieving a set of topics associated with the user from a topics repository, the set of topics being provided from a topics service that associates one or more topics with users of one or more computer-implemented services, and each topic in the set of topics being associated with a topic score; determining a subset of topics from the set of topics associated with the user, the subset of topics comprising topics having respective topic scores that exceed a threshold score; determining, by the data processing apparatus, that one or more topics are associated with the query, and in response: determining, by the data processing apparatus, that social annotations are to be displayed in a search results page based on: one or more topics being included in an intersection of i) the one or more topics associated with the query and ii) one or more topics in the subset of topics associated with the user having topic scores that exceed the threshold score, and in response to determining that social annotations are to be displayed: providing an electronic document comprising instructions that, when executed by a computing device, cause the computing device to display an enhanced search results page, wherein the enhanced search results page comprises the obtained search results and one or more social annotations, at least one social annotation comprising a graphical representation of social networking data that is associated with a respective search result and the user; and transmitting, by the data processing apparatus, the electronic document to a computing device associated with the user. | 1. A method performed by data processing apparatus, the method comprising: obtaining, by the data processing apparatus, search results that are responsive to a received query received from a user; retrieving a set of topics associated with the user from a topics repository, the set of topics being provided from a topics service that associates one or more topics with users of one or more computer-implemented services, and each topic in the set of topics being associated with a topic score; determining a subset of topics from the set of topics associated with the user, the subset of topics comprising topics having respective topic scores that exceed a threshold score; determining, by the data processing apparatus, that one or more topics are associated with the query, and in response: determining, by the data processing apparatus, that social annotations are to be displayed in a search results page based on: one or more topics being included in an intersection of i) the one or more topics associated with the query and ii) one or more topics in the subset of topics associated with the user having topic scores that exceed the threshold score, and in response to determining that social annotations are to be displayed: providing an electronic document comprising instructions that, when executed by a computing device, cause the computing device to display an enhanced search results page, wherein the enhanced search results page comprises the obtained search results and one or more social annotations, at least one social annotation comprising a graphical representation of social networking data that is associated with a respective search result and the user; and transmitting, by the data processing apparatus, the electronic document to a computing device associated with the user. 9. The method of claim 1 , further comprising generating social annotations of the one or more social annotations in response to determining that social annotations are to be displayed in a search results page. | 0.729381 |
8,346,535 | 1 | 5 | 1. An information processing apparatus, comprising: a computer comprising: a property processing unit configured to read a property of document data associated with a stored document and register the property; a document language identification unit configured to identify a language used in the document data of the stored document; a property language identification unit configured to identify a language used in a property value of the registered property entered with respect to the document data; and a translation unit configured to translate the property value entered with respect to the document data from the language used in the property value into the language used in the document data of the stored document when the language used in the property value is different from the language used in the document data of the stored document, wherein the property processing unit is further configured to display a notice to select a default language representing language information entered with respect to a property key of the registered property, and wherein the property processing unit comprises a registration unit configured to register information on the selected default language in association with the property value and the property key of the registered property. | 1. An information processing apparatus, comprising: a computer comprising: a property processing unit configured to read a property of document data associated with a stored document and register the property; a document language identification unit configured to identify a language used in the document data of the stored document; a property language identification unit configured to identify a language used in a property value of the registered property entered with respect to the document data; and a translation unit configured to translate the property value entered with respect to the document data from the language used in the property value into the language used in the document data of the stored document when the language used in the property value is different from the language used in the document data of the stored document, wherein the property processing unit is further configured to display a notice to select a default language representing language information entered with respect to a property key of the registered property, and wherein the property processing unit comprises a registration unit configured to register information on the selected default language in association with the property value and the property key of the registered property. 5. The information processing apparatus according to claim 1 , wherein the registration unit is configured to register the entered property value in association with the translated property value. | 0.756219 |
7,836,394 | 10 | 13 | 10. The computer program product of claim 1 , wherein the one or more presentation modules includes a template module comprising means for selecting one or more custom display templates to apply to at least one of one of the selected files based on a publisher of the selected file. | 10. The computer program product of claim 1 , wherein the one or more presentation modules includes a template module comprising means for selecting one or more custom display templates to apply to at least one of one of the selected files based on a publisher of the selected file. 13. The computer program product of claim 10 , wherein the template module comprises means for customizing the electronically tagged financial data based on the one or more custom display templates. | 0.5 |
8,280,733 | 7 | 8 | 7. A computer-implemented method for adapting a speech recognition system, comprising: detecting a user-initiated change to dictated text; automatically assigning a categorization to the user-initiated change to the dictated text, the categorization being automatically assigned based at least in part upon a measurement of time indicative of how long it took the user to initiate the change, wherein automatically assigning the categorization comprises automatically identifying, based at least in part upon the measurement of time, the user-initiated change as being either a correction or an edit operation; calculating a distance between a pronunciation of the dictated text and a pronunciation of the change to the dictated text; comparing the calculated distance to a threshold value; and selectively adapting the speech recognition engine depending upon the categorization and the calculated distance, and wherein selectively adapting further comprises determining a number of times that the pronunciation of the change to the dictated text has occurred and then selectively adapting the speech recognition engine when the number of times exceeds a selected number of times. | 7. A computer-implemented method for adapting a speech recognition system, comprising: detecting a user-initiated change to dictated text; automatically assigning a categorization to the user-initiated change to the dictated text, the categorization being automatically assigned based at least in part upon a measurement of time indicative of how long it took the user to initiate the change, wherein automatically assigning the categorization comprises automatically identifying, based at least in part upon the measurement of time, the user-initiated change as being either a correction or an edit operation; calculating a distance between a pronunciation of the dictated text and a pronunciation of the change to the dictated text; comparing the calculated distance to a threshold value; and selectively adapting the speech recognition engine depending upon the categorization and the calculated distance, and wherein selectively adapting further comprises determining a number of times that the pronunciation of the change to the dictated text has occurred and then selectively adapting the speech recognition engine when the number of times exceeds a selected number of times. 8. The method of claim 7 , wherein selectively adapting comprises adapting or not adapting depending upon the categorization. | 0.847561 |
8,037,048 | 1 | 2 | 1. A web site search and selection method comprising: responding to a search query by assigning a relevance score to each page of web sites containing a number of pages addressed by a search engine, wherein, for each web site addressed by the search engine, said method comprises the following operations: adding together relevance scores of individual pages identified by the search engine, weighting said relevance scores by a correction factor indicative at least of the number of pages of the web site, and obtaining, in response to the search query, an overall web site relevance index for the web sites addressed by the search engine wherein said web site relevance index (SRI) is determined by a formula:
SRI=Σ 1 [rl i 100+NormSite (web site pages)] where rl i indicates the relevance score of the i th page found and NormSite (web site pages) is a hyperbolic correction factor calculated by NormSite (web site pages)=k*[(YI/p)+Δy], where: p indicates the number of pages in the web site; YI indicates a coordinate on the y-axis at the x-axis point I in a plot of relevance (y-axis) against page number (x-axis); k is a correction factor; and Δy indicates a horizontal asymptote above which a hyperbola is positioned; at least one of said operations being implemented on a computer having a processor and a memory coupled to said processor. | 1. A web site search and selection method comprising: responding to a search query by assigning a relevance score to each page of web sites containing a number of pages addressed by a search engine, wherein, for each web site addressed by the search engine, said method comprises the following operations: adding together relevance scores of individual pages identified by the search engine, weighting said relevance scores by a correction factor indicative at least of the number of pages of the web site, and obtaining, in response to the search query, an overall web site relevance index for the web sites addressed by the search engine wherein said web site relevance index (SRI) is determined by a formula:
SRI=Σ 1 [rl i 100+NormSite (web site pages)] where rl i indicates the relevance score of the i th page found and NormSite (web site pages) is a hyperbolic correction factor calculated by NormSite (web site pages)=k*[(YI/p)+Δy], where: p indicates the number of pages in the web site; YI indicates a coordinate on the y-axis at the x-axis point I in a plot of relevance (y-axis) against page number (x-axis); k is a correction factor; and Δy indicates a horizontal asymptote above which a hyperbola is positioned; at least one of said operations being implemented on a computer having a processor and a memory coupled to said processor. 2. The web site search and selection method as claimed in claim 1 , wherein in the hyperbolic correction factor NormSite (p)=k [(Yl/p) +Δy], k=1; YI=100; and Δy=0. | 0.793147 |
9,153,136 | 17 | 19 | 17. A computer-implemented method of providing a description of flight intent of an aircraft to be flown on a flight expressed using a formal language, the method comprising: receiving at an input of a computational infrastructure information describing how the aircraft is to be flown including motion information and configuration information; dividing the flight into one or more flight segments having one or more constraints and one or more objectives, wherein the one or more flight segments represent an intent of changing an aircraft motion state from one state into another, the one or more constraints represent a restriction on a trajectory of the aircraft, and the one or more objectives represent a desire relating to the trajectory to maximize or minimize a certain function; providing at an output of the computational infrastructure information that expresses the flight intent for each flight segment using a formal language, which follows a set of rules to govern the creation of valid words using the flight segment, the one or more constraints for the flight segment, and the one or more objectives for the flight segment, to define which degrees of freedom of motion of the aircraft are defined during the flight segment and which degrees of freedom of motion are not defined during the flight segment; for each flight segment following a set of attributes, being an effect, an execution interval, and a flight segment code that govern the creation of the valid words, the effect comprising aircraft behavior exhibited during the flight segment represented by a composite, the execution interval defining an interval during which the flight segment is active defining an initial aircraft state and a final aircraft state, and the flight segment code comprising an alphanumeric string wherein each letter or number in the alphanumeric string represents one of the degrees of freedom of the motion of the aircraft; and transmitting the flight intent of the aircraft using the formal language to the aircraft, to another aircraft, or to an air traffic manager. | 17. A computer-implemented method of providing a description of flight intent of an aircraft to be flown on a flight expressed using a formal language, the method comprising: receiving at an input of a computational infrastructure information describing how the aircraft is to be flown including motion information and configuration information; dividing the flight into one or more flight segments having one or more constraints and one or more objectives, wherein the one or more flight segments represent an intent of changing an aircraft motion state from one state into another, the one or more constraints represent a restriction on a trajectory of the aircraft, and the one or more objectives represent a desire relating to the trajectory to maximize or minimize a certain function; providing at an output of the computational infrastructure information that expresses the flight intent for each flight segment using a formal language, which follows a set of rules to govern the creation of valid words using the flight segment, the one or more constraints for the flight segment, and the one or more objectives for the flight segment, to define which degrees of freedom of motion of the aircraft are defined during the flight segment and which degrees of freedom of motion are not defined during the flight segment; for each flight segment following a set of attributes, being an effect, an execution interval, and a flight segment code that govern the creation of the valid words, the effect comprising aircraft behavior exhibited during the flight segment represented by a composite, the execution interval defining an interval during which the flight segment is active defining an initial aircraft state and a final aircraft state, and the flight segment code comprising an alphanumeric string wherein each letter or number in the alphanumeric string represents one of the degrees of freedom of the motion of the aircraft; and transmitting the flight intent of the aircraft using the formal language to the aircraft, to another aircraft, or to an air traffic manager. 19. The computer-implemented method of claim 17 further comprising deriving aircraft intent from the flight intent and using the aircraft intent to generate a predicted trajectory in the computational infrastructure for the aircraft. | 0.541339 |
8,745,091 | 1 | 18 | 1. In a computing system, a method comprising: analyzing an electronic document to generate document identifying data; classifying the electronic document in one of one or more display categories by applying a classification rule to the document identifying data, wherein the classification of the electronic document represents a prioritization of the electronic document; displaying the classified electronic document in the one of the one or more display categories; receiving a user feedback regarding prioritization of the one of the electronic document; and updating the classification rule based on the feedback from the user, wherein analyzing the electronic document further comprises analyzing the document using semantical analysis of the document comprising: associating one or more concepts with the one of the one or more display categories, extracting the one or more concepts from the electronic document, and pattern matching the one or more extracted concepts with the one or more concepts associated with the one or more display categories. | 1. In a computing system, a method comprising: analyzing an electronic document to generate document identifying data; classifying the electronic document in one of one or more display categories by applying a classification rule to the document identifying data, wherein the classification of the electronic document represents a prioritization of the electronic document; displaying the classified electronic document in the one of the one or more display categories; receiving a user feedback regarding prioritization of the one of the electronic document; and updating the classification rule based on the feedback from the user, wherein analyzing the electronic document further comprises analyzing the document using semantical analysis of the document comprising: associating one or more concepts with the one of the one or more display categories, extracting the one or more concepts from the electronic document, and pattern matching the one or more extracted concepts with the one or more concepts associated with the one or more display categories. 18. The method of claim 1 , wherein classifying the electronic document further comprises classifying the electronic document one of (i) a potential corporate record category; (ii) a classified document category; and (iii) an optional reading category. | 0.683417 |
8,782,050 | 7 | 8 | 7. The method as recited in claim 1 , including the further step of designating a document as a key article. | 7. The method as recited in claim 1 , including the further step of designating a document as a key article. 8. The method of claim 7 , including the further step of providing text related to a document. | 0.5 |
7,539,670 | 1 | 4 | 1. A data search system comprising: a data acquisition means for acquiring results of a data search based on certain search criteria; an image processing means for representing, as a set for each of said search criteria, the results of said data search acquired by said data acquisition means and converting each set to an n-polygonal image, where n is a natural number, and having an area corresponding to the magnitude of element count of each set, wherein said image processing means derives said n-polygonal image by repeating a convergent calculation for drawing under certain restricting parameters, wherein said convergent calculation is initiated under restricting parameters where a convex polygon appears, and if said convergence does not appear as a convex polygon after repeating a certain number of times, the restricting parameters are switched so that a concave polygon appears; and a display control means for causing each n-polygonal image converted by said image processing means to be displayed on a predetermined display device, wherein each of said multiple n-polygonal images is displayed within the same display region while maintaining a relative relationship with other n-polygonal images based on said search criteria. | 1. A data search system comprising: a data acquisition means for acquiring results of a data search based on certain search criteria; an image processing means for representing, as a set for each of said search criteria, the results of said data search acquired by said data acquisition means and converting each set to an n-polygonal image, where n is a natural number, and having an area corresponding to the magnitude of element count of each set, wherein said image processing means derives said n-polygonal image by repeating a convergent calculation for drawing under certain restricting parameters, wherein said convergent calculation is initiated under restricting parameters where a convex polygon appears, and if said convergence does not appear as a convex polygon after repeating a certain number of times, the restricting parameters are switched so that a concave polygon appears; and a display control means for causing each n-polygonal image converted by said image processing means to be displayed on a predetermined display device, wherein each of said multiple n-polygonal images is displayed within the same display region while maintaining a relative relationship with other n-polygonal images based on said search criteria. 4. A data search system according to claim 1 , wherein said image processing means identifies the shape of said n-polygonal image by a radius and argument of its polar coordinates, and calculates the area of said n-polygonal image by an operational expression having said radius and n as its variables. | 0.706226 |
6,049,796 | 1 | 3 | 1. A method for operating a personal digital assistant having an input means, a file storage means, a data base, a search engine means, a display means, and an electronic communication means, comprising the steps of: storing in the data base one or more records, each of the records comprising data elements defining an identifier of a party and communication information required for communicating with the party through a communication link; in response to an input from a user, selecting one of a plurality of directories, each of said directories comprising one or more entries and being related to a respective type of communication, each of said entries corresponding to at least one of said data elements of one of said records; in response to the selecting step, displaying each of the one or more entries of the selected directory; inputting a search key corresponding to at least a portion of at least one of the displayed entries of the selected directory; comparing the search key to at least one data element corresponding to at least one of the displayed entries and further displaying those ones of the entries which correspond to data elements corresponding to the search key; and in response to another input by the user, selecting one of the further displayed entries for initiating a communication to a party, the party being identified by the identifier defined by data elements corresponding to the selected entry. | 1. A method for operating a personal digital assistant having an input means, a file storage means, a data base, a search engine means, a display means, and an electronic communication means, comprising the steps of: storing in the data base one or more records, each of the records comprising data elements defining an identifier of a party and communication information required for communicating with the party through a communication link; in response to an input from a user, selecting one of a plurality of directories, each of said directories comprising one or more entries and being related to a respective type of communication, each of said entries corresponding to at least one of said data elements of one of said records; in response to the selecting step, displaying each of the one or more entries of the selected directory; inputting a search key corresponding to at least a portion of at least one of the displayed entries of the selected directory; comparing the search key to at least one data element corresponding to at least one of the displayed entries and further displaying those ones of the entries which correspond to data elements corresponding to the search key; and in response to another input by the user, selecting one of the further displayed entries for initiating a communication to a party, the party being identified by the identifier defined by data elements corresponding to the selected entry. 3. A method as described in claim 1, wherein the step of selecting one of the further displayed entries is performed in accordance with the location of an indicator on the display means, denoted by at least one of a cursor, a pointing device or a contact and a selection frame in the display means. | 0.854776 |
9,116,865 | 12 | 21 | 12. A non-transitory computer-readable medium storing executable computer program instructions for generating a terms listing associated with an educational electronic document having a plurality of pages, the computer program instructions comprising instructions for: reconstructing the educational electronic document to identify locations of content in the electronic document; identifying, based on the reconstruction, a glossary associated with the electronic document, the glossary including a listing of plurality of primary terms of the electronic document; extracting a plurality of the primary terms from the glossary, each extracted primary term associated with a location in the electronic document based on the reconstruction; sending one or more pages of the electronic document for presentation to a plurality of users, the pages of the electronic document configured for rendering by client devices of the users; receiving, from the client devices, terms searched by the users in relation to the electronic document; processing the received terms to determine a plurality of secondary terms, each secondary term associated with a location in the electronic document based on the reconstruction, wherein each secondary term is a searched term received from a plurality of the client devices; and storing the secondary terms and the locations of each secondary term in the electronic document in association with the extracted primary terms. | 12. A non-transitory computer-readable medium storing executable computer program instructions for generating a terms listing associated with an educational electronic document having a plurality of pages, the computer program instructions comprising instructions for: reconstructing the educational electronic document to identify locations of content in the electronic document; identifying, based on the reconstruction, a glossary associated with the electronic document, the glossary including a listing of plurality of primary terms of the electronic document; extracting a plurality of the primary terms from the glossary, each extracted primary term associated with a location in the electronic document based on the reconstruction; sending one or more pages of the electronic document for presentation to a plurality of users, the pages of the electronic document configured for rendering by client devices of the users; receiving, from the client devices, terms searched by the users in relation to the electronic document; processing the received terms to determine a plurality of secondary terms, each secondary term associated with a location in the electronic document based on the reconstruction, wherein each secondary term is a searched term received from a plurality of the client devices; and storing the secondary terms and the locations of each secondary term in the electronic document in association with the extracted primary terms. 21. The non-transitory computer-readable medium of claim 12 , wherein processing the received terms comprises: analyzing the received terms to determine root words of the received terms; determining a number of searches for each determined root word; and identifying a root word as a secondary term if the root word is associated with a plurality of the received terms. | 0.644509 |
9,691,483 | 3 | 5 | 3. The CAM of claim 1 wherein each bank further comprises: a match line associated with the bank, wherein the match line is pre-charged when the bank is to be compared to the segment of the input word aligned with the bank and is otherwise not pre-charged. | 3. The CAM of claim 1 wherein each bank further comprises: a match line associated with the bank, wherein the match line is pre-charged when the bank is to be compared to the segment of the input word aligned with the bank and is otherwise not pre-charged. 5. The CAM of claim 3 wherein the scheduler stops scheduling comparison of segments of the input word to the plurality of banks once a mismatch is detected, the mismatch based on the match line associated with the bank. | 0.5 |
8,862,579 | 1 | 4 | 1. A method for optimizing search, the method, comprising: identifying a location identifier of a webpage having content associated with a semantic type; extracting a pattern from the location identifier of the webpage that is different from the location identifier but including a portion of the location identifier; storing the pattern in a computer database embodied in a computer-readable storage medium; wherein, the pattern corresponds to a semantic type of the content in the webpage; using the pattern stored in the computer-readable storage medium, performing pattern recognition on multiple location identifiers having a same domain name as the location identifier; detecting location identifiers from the multiple location identifiers matching the pattern extracted from the location identifier; identifying, a set of type-determined web pages having the matching location identifiers; wherein, each of the set of type-determined web pages has content that is related to the semantic type; wherein, the semantic type is associated with multiple attributes that are user-defined; wherein, the pattern is extracted from the location identifier using user input; data mining the content of each of the set of type-determined web pages to further determine relevancy to the semantic type; and identifying a refined set of type-determined web pages from the set of type-determined web pages based on the relevancy to the semantic type determined via the data mining. | 1. A method for optimizing search, the method, comprising: identifying a location identifier of a webpage having content associated with a semantic type; extracting a pattern from the location identifier of the webpage that is different from the location identifier but including a portion of the location identifier; storing the pattern in a computer database embodied in a computer-readable storage medium; wherein, the pattern corresponds to a semantic type of the content in the webpage; using the pattern stored in the computer-readable storage medium, performing pattern recognition on multiple location identifiers having a same domain name as the location identifier; detecting location identifiers from the multiple location identifiers matching the pattern extracted from the location identifier; identifying, a set of type-determined web pages having the matching location identifiers; wherein, each of the set of type-determined web pages has content that is related to the semantic type; wherein, the semantic type is associated with multiple attributes that are user-defined; wherein, the pattern is extracted from the location identifier using user input; data mining the content of each of the set of type-determined web pages to further determine relevancy to the semantic type; and identifying a refined set of type-determined web pages from the set of type-determined web pages based on the relevancy to the semantic type determined via the data mining. 4. The method of claim 1 , further comprising, associating each of the set of type-determined web-pages with an ontology defining the semantic type. | 0.883096 |
8,538,808 | 1 | 8 | 1. A computer-implemented method for testing a plurality of candidate creatives, the method comprising: placing, by a media exchange server, the plurality of candidate creatives on a queue coupled with the media exchange server configured to interface prospective buyers and sellers of the candidate creatives; inspecting, by the server, technical attributes of each candidate creative when at a front of the queue with at least one test node before delivery to a publisher, wherein inspecting comprises the server: generating a creative vector containing the candidate creative; launching a browser by a test daemon of the at least one test node; loading the creative vector into the browser; and executing a test suite on the candidate creative by constituent elements of the test node; determining, by the server, that a first of the candidate creatives is a fixed creative comprising constituent elements that do not change each time a creative vector thereof is loaded into a browser; delivering, by the server, the fixed candidate creative directly to the publisher from the server; re-inspecting, by the server, the technical attributes of a second of the candidate creatives that remain in the queue after one or more previous inspections by the server, comprising detecting a hidden technical attribute detectable under unknown specified circumstances; and rejecting delivery of the second candidate creative to the publisher by the server as a result of detecting the hidden technical attribute. | 1. A computer-implemented method for testing a plurality of candidate creatives, the method comprising: placing, by a media exchange server, the plurality of candidate creatives on a queue coupled with the media exchange server configured to interface prospective buyers and sellers of the candidate creatives; inspecting, by the server, technical attributes of each candidate creative when at a front of the queue with at least one test node before delivery to a publisher, wherein inspecting comprises the server: generating a creative vector containing the candidate creative; launching a browser by a test daemon of the at least one test node; loading the creative vector into the browser; and executing a test suite on the candidate creative by constituent elements of the test node; determining, by the server, that a first of the candidate creatives is a fixed creative comprising constituent elements that do not change each time a creative vector thereof is loaded into a browser; delivering, by the server, the fixed candidate creative directly to the publisher from the server; re-inspecting, by the server, the technical attributes of a second of the candidate creatives that remain in the queue after one or more previous inspections by the server, comprising detecting a hidden technical attribute detectable under unknown specified circumstances; and rejecting delivery of the second candidate creative to the publisher by the server as a result of detecting the hidden technical attribute. 8. The method of claim 1 , wherein the queue comprises an endless queue for repeated re-inspection. | 0.878973 |
9,286,352 | 11 | 13 | 11. A computer-implemented method, comprising: executing a hybrid query for combining a continuous query and a scheduled database query, the hybrid query refreshed based at least in part on a schedule or a time interval; generating, by a computing system, a stream associated with an event processor configured to provide real-time data; registering, by the computing system, the generated stream with a query engine; identifying the continuous query for querying the registered stream; providing, to a data source that comprises a relational database, a tactical query configured to pull data elements from the data source based at least in part on a timer; receiving, from the data source, a relational query result based at least in part on the tactical query, the tactical query being provided to a scheduler of the relational database, and the scheduler configured to perform the tactical query on the relational database based at least in part on the schedule; including, by the computing system, the relational query result from the data source in the registered stream by automatically pushing the relational query result to the continuous query configured to query the registered stream; providing, by the computing system, a continuous query result based at least in part on an event of the generated stream received by the query engine, the event from a plurality of events of the generated stream including streaming events from the event processor and the relational query result; and providing a user interface configured to display an active visualization based at least in part on data pushed to the query engine. | 11. A computer-implemented method, comprising: executing a hybrid query for combining a continuous query and a scheduled database query, the hybrid query refreshed based at least in part on a schedule or a time interval; generating, by a computing system, a stream associated with an event processor configured to provide real-time data; registering, by the computing system, the generated stream with a query engine; identifying the continuous query for querying the registered stream; providing, to a data source that comprises a relational database, a tactical query configured to pull data elements from the data source based at least in part on a timer; receiving, from the data source, a relational query result based at least in part on the tactical query, the tactical query being provided to a scheduler of the relational database, and the scheduler configured to perform the tactical query on the relational database based at least in part on the schedule; including, by the computing system, the relational query result from the data source in the registered stream by automatically pushing the relational query result to the continuous query configured to query the registered stream; providing, by the computing system, a continuous query result based at least in part on an event of the generated stream received by the query engine, the event from a plurality of events of the generated stream including streaming events from the event processor and the relational query result; and providing a user interface configured to display an active visualization based at least in part on data pushed to the query engine. 13. The computer-implemented method of claim 11 , wherein the relational database includes at least historical performance indicators. | 0.733068 |
8,073,840 | 8 | 9 | 8. The method of claim 1 further comprising storing the join mappings in volatile memory. | 8. The method of claim 1 further comprising storing the join mappings in volatile memory. 9. The method of claim 8 further comprising: determining if sufficient volatile memory is available to store the join mappings; if sufficient memory exists, storing the join mapping in volatile memory; and if sufficient memory does not exist, deleting existing join mappings and storing the join mapping. | 0.5 |
7,499,903 | 20 | 21 | 20. The method of claim 19 , further comprising the step of establishing a real time communication path between the user and the expert. | 20. The method of claim 19 , further comprising the step of establishing a real time communication path between the user and the expert. 21. The method of claim 20 , wherein the communication path is at least one of an internet connection, a telephony connection, a video telephony connection, and a voice over internet protocol connection. | 0.5 |
8,131,838 | 11 | 12 | 11. The method of claim 10 comprising: processing heartbeat messages received from the at least one group leader monitor service using at least one local monitor service, the local monitor service including the core monitor service, a second data pre-processing monitor service module, and a data storage service module. | 11. The method of claim 10 comprising: processing heartbeat messages received from the at least one group leader monitor service using at least one local monitor service, the local monitor service including the core monitor service, a second data pre-processing monitor service module, and a data storage service module. 12. The method of claim 11 comprising: processing heartbeat messages received from the at least one local monitor service using a global monitor service, wherein the local monitor service is configured to transmit a delta synchronization message to the global monitor service to update global monitor data stored in association therewith. | 0.5 |
9,240,186 | 8 | 15 | 8. A system for providing a dictation interface comprising: a processor; and a memory component coupled to the processor that stores a target application that, when executed by the processor, causes the system to provide a target application interface for display of input from a user, the memory component further storing a dictation application that, when executed by the processor, causes the system to perform at least the following: provide a dictation application interface for displaying text, wherein the dictation application interface is automatically constructed over the target application interface to cover a predetermined portion of the target application interface to appear as if the dictation application interface is part of the target application interface, such that the dictation application interface adjusts match an adjustment to the target application interface; receive audio data from the user; convert the audio data into text; provide the text in the dictation application interface; and in response to a triggering event, automatically insert the text from the dictation application interface into the target application interface. | 8. A system for providing a dictation interface comprising: a processor; and a memory component coupled to the processor that stores a target application that, when executed by the processor, causes the system to provide a target application interface for display of input from a user, the memory component further storing a dictation application that, when executed by the processor, causes the system to perform at least the following: provide a dictation application interface for displaying text, wherein the dictation application interface is automatically constructed over the target application interface to cover a predetermined portion of the target application interface to appear as if the dictation application interface is part of the target application interface, such that the dictation application interface adjusts match an adjustment to the target application interface; receive audio data from the user; convert the audio data into text; provide the text in the dictation application interface; and in response to a triggering event, automatically insert the text from the dictation application interface into the target application interface. 15. The system of claim 8 , wherein the dictation application further causes the system to perform at least the following: determine a record associated with the audio data; and provide a summary area including information regarding the record. | 0.5 |
9,129,606 | 1 | 7 | 1. A method, implemented by a computing device, for providing a query history expansion, the method comprising: receiving a spoken query from a user; creating an adapted language model that includes interpolating previous queries associated with the user and previous queries associated with a plurality of other users that share at least one common characteristic, wherein the previous queries of the plurality of other users is identified based on queries from the plurality of other users that contain click URLs as the user's previous queries and identified based on queries of the plurality of other users that are within a threshold distance of the user's previous queries; converting the spoken query to text and applying the created adapted language model to the spoken query to generate at least one result for the spoken query; and providing the at least one result of the converted spoken query to the user. | 1. A method, implemented by a computing device, for providing a query history expansion, the method comprising: receiving a spoken query from a user; creating an adapted language model that includes interpolating previous queries associated with the user and previous queries associated with a plurality of other users that share at least one common characteristic, wherein the previous queries of the plurality of other users is identified based on queries from the plurality of other users that contain click URLs as the user's previous queries and identified based on queries of the plurality of other users that are within a threshold distance of the user's previous queries; converting the spoken query to text and applying the created adapted language model to the spoken query to generate at least one result for the spoken query; and providing the at least one result of the converted spoken query to the user. 7. The method of claim 1 , wherein the adapted language model comprises at least one previous query by the user and at least one expanded query associated with at least one second user. | 0.627016 |
9,026,531 | 10 | 16 | 10. Computer hardware storage media having computer-executable instructions embodied thereon, that when executed, perform a method for presenting a web-accessible topic focused data mart, the method comprising: receiving health data from a data source comprising at least one of receiving internal health data collected by a health care facility and receiving public health data provided by a public agency; populating a topic focused data mart having at least a portion of the health data received from the data source, the topic focused data mart only comprising data relevant to a predetermined topic associated with the one topic focused data mart, the at least the portion of the health data being associated with the predetermined topic; associating the topic focused data mart with a web service; receiving demographic information from an Electronic Health Record (EHR) associated with a patient; querying the topic focused data mart based on the demographic information received from the EHR, the querying the topic focused data mart comprising querying only the at least the portion of the health data included in the topic focused data mart; and presenting context-specific data derived from the topic focused data mart in the EHR, the context-specific data being based on the demographic information, the receiving, querying, and presenting being performed without input from a clinician. | 10. Computer hardware storage media having computer-executable instructions embodied thereon, that when executed, perform a method for presenting a web-accessible topic focused data mart, the method comprising: receiving health data from a data source comprising at least one of receiving internal health data collected by a health care facility and receiving public health data provided by a public agency; populating a topic focused data mart having at least a portion of the health data received from the data source, the topic focused data mart only comprising data relevant to a predetermined topic associated with the one topic focused data mart, the at least the portion of the health data being associated with the predetermined topic; associating the topic focused data mart with a web service; receiving demographic information from an Electronic Health Record (EHR) associated with a patient; querying the topic focused data mart based on the demographic information received from the EHR, the querying the topic focused data mart comprising querying only the at least the portion of the health data included in the topic focused data mart; and presenting context-specific data derived from the topic focused data mart in the EHR, the context-specific data being based on the demographic information, the receiving, querying, and presenting being performed without input from a clinician. 16. The media of claim 10 , wherein the context-specific data is epidemic information. | 0.690647 |
9,183,511 | 1 | 4 | 1. A computer implemented question answering method, comprising: (a) receiving or accessing a natural language question; (b) recognizing one or more entity surfaces in the natural language question, and generating one or more corresponding template surface queries; (c) constructing one or more structured queries based on one or more trained models for queried templates and entities; (d) finding and selecting one or more answer phrases using constructed structured queries on a knowledge base; and (e) composing, or initiating the composition, of output based on the one or more answer phrases. | 1. A computer implemented question answering method, comprising: (a) receiving or accessing a natural language question; (b) recognizing one or more entity surfaces in the natural language question, and generating one or more corresponding template surface queries; (c) constructing one or more structured queries based on one or more trained models for queried templates and entities; (d) finding and selecting one or more answer phrases using constructed structured queries on a knowledge base; and (e) composing, or initiating the composition, of output based on the one or more answer phrases. 4. The method of claim 1 , wherein the step of selecting one or more answer phrases using constructed structured queries comprises: (a) employing a ranking scheme considering following factors: (i) popularity of the templates surface; (ii) popularity of entities; (iii) probability of relation path corresponding to the template; and (iv) the depth of the nesting structured queries. | 0.539663 |
7,603,272 | 3 | 9 | 3. The system of claim 2 , wherein the module configured to control the processor to align the transitions T further, for all transitions T in the topological ordered lattice, further performs the following: A. using time slots of transitions T, finding the most overlapping location on the pivot baseline; B. if there is no transition at that location that precedes T in the lattice, performing the following: i. if a transition with the same label already occurs at that location, adding posterior probability of T to the posterior probability of that transition; ii. if a transition with the same label does not already occur at that location, inserting a new transition to that location with the label and posterior probability of T; C. if there is a transition at that location that precedes T in the lattice, performing the following: i. inserting a new state S n to the pivot alignment; ii. assigning that state a time information; iii. changing the destination state of all transitions originating from state S s to S n ; and iv. inserting a transition between states S n and S e and assigning it the label and posterior of T, wherein the lattice is transformed into a block diagonal matrix. | 3. The system of claim 2 , wherein the module configured to control the processor to align the transitions T further, for all transitions T in the topological ordered lattice, further performs the following: A. using time slots of transitions T, finding the most overlapping location on the pivot baseline; B. if there is no transition at that location that precedes T in the lattice, performing the following: i. if a transition with the same label already occurs at that location, adding posterior probability of T to the posterior probability of that transition; ii. if a transition with the same label does not already occur at that location, inserting a new transition to that location with the label and posterior probability of T; C. if there is a transition at that location that precedes T in the lattice, performing the following: i. inserting a new state S n to the pivot alignment; ii. assigning that state a time information; iii. changing the destination state of all transitions originating from state S s to S n ; and iv. inserting a transition between states S n and S e and assigning it the label and posterior of T, wherein the lattice is transformed into a block diagonal matrix. 9. The system of claim 3 , further comprising a module configured to control the processor to apply the probabilities of the block diagonal matrix confidence scores to spoken language understanding. | 0.558036 |
8,473,338 | 5 | 6 | 5. A method, comprising: retrieving, by a processor, a plurality of advertisements from multiple content sources; identifying, by the processor, keywords of the plurality of advertisements; determining, by the processor, similarity rankings of the advertisements based at least in part on the keywords; selecting, by the processor, a keyword based at least in part on the similarity rankings; and purchasing, by the processor, the keyword from a seller for placement of a first linked advertisement, the first linked advertisement configured to be selected to cause the presentation of a second advertisement of a buyer. | 5. A method, comprising: retrieving, by a processor, a plurality of advertisements from multiple content sources; identifying, by the processor, keywords of the plurality of advertisements; determining, by the processor, similarity rankings of the advertisements based at least in part on the keywords; selecting, by the processor, a keyword based at least in part on the similarity rankings; and purchasing, by the processor, the keyword from a seller for placement of a first linked advertisement, the first linked advertisement configured to be selected to cause the presentation of a second advertisement of a buyer. 6. The method of claim 5 , wherein the selecting of the keyword is further based on historical cost/return data. | 0.921016 |
9,870,775 | 17 | 18 | 17. The method of claim 12 , further comprising: performing training based on a voice signal inputted during an operation of performing the voice recognition, and generating training data based on the training; and storing the training data in at least one of inside or outside of the electronic device. | 17. The method of claim 12 , further comprising: performing training based on a voice signal inputted during an operation of performing the voice recognition, and generating training data based on the training; and storing the training data in at least one of inside or outside of the electronic device. 18. The method of claim 17 , wherein performing the voice recognition operation comprises: processing voice recognition for the voice signal based on the training data. | 0.5 |
9,443,005 | 9 | 13 | 9. A method for natural language processing, comprising the steps of: providing a parallel computer processing system performing the natural language processing, wherein the system is configured to simultaneously perform the natural language processing on multiple sources of text, wherein the system comprises a plurality of computer systems, wherein each computer system comprises: a computer processor unit; and a non-transitory computer readable medium operably associated with the computer processor unit, the non-transitory computer readable medium storing instructions executable by the computer processor unit to perform the steps of: receiving an input text, the input text comprising a plurality of sentences; applying a plurality of predetermined scales to the plurality of sentences to obtain a semantic relationship scale-web of the input text, wherein the semantic relationship scale-web of the input text links the words of the plurality of sentences; applying a predefined common sense rule to the plurality of predetermined scale to modify the semantic relationship scale-web; and providing an answer to a question regarding the multiple sources of input text, the answer being based on the modified semantic relationship scale-web of the multiple sources of input text, or the application of the predefined common sense rule. | 9. A method for natural language processing, comprising the steps of: providing a parallel computer processing system performing the natural language processing, wherein the system is configured to simultaneously perform the natural language processing on multiple sources of text, wherein the system comprises a plurality of computer systems, wherein each computer system comprises: a computer processor unit; and a non-transitory computer readable medium operably associated with the computer processor unit, the non-transitory computer readable medium storing instructions executable by the computer processor unit to perform the steps of: receiving an input text, the input text comprising a plurality of sentences; applying a plurality of predetermined scales to the plurality of sentences to obtain a semantic relationship scale-web of the input text, wherein the semantic relationship scale-web of the input text links the words of the plurality of sentences; applying a predefined common sense rule to the plurality of predetermined scale to modify the semantic relationship scale-web; and providing an answer to a question regarding the multiple sources of input text, the answer being based on the modified semantic relationship scale-web of the multiple sources of input text, or the application of the predefined common sense rule. 13. The method according to claim 9 , wherein the input text, question or answer can be written or spoken in any language. | 0.885553 |
9,401,099 | 16 | 18 | 16. A computer system comprising: at least one display device having a display area; and at least one processor programmed to: display the computer desktop on the at least one display device while the display area is unpartitioned; in response to receiving a first instruction to display closed captioning content, partition the display area into a first portion for the closed captioning content and a second portion for a computer desktop, the second portion being reduced in size with respect to the unpartitioned display area to make room in the display area for the first portion for the closed captioning content; capture closed captioning content from a user application executing on the computer system and/or an operating system of the computer system, wherein the closed captioning content comprises text and is selected from the group consisting of title information for a currently active window displayed on the computer desktop, information about controls in a window displayed on the computer desktop, text typed in a document, help information for a computer desktop or user application element, alert information provided by the user application and/or the operating system, and information redirected for output by a speech synthesizer; write at least some of the closed captioning content to a first buffer mapped to the first portion of the display area; write at least a portion of the computer desktop to a second buffer mapped to the second portion of the display area and not to the first portion of the display area; display the at least some of the closed captioning content from the first buffer on the first portion of the display area, wherein the at least some of the closed captioning content displayed on the first portion of the display area is selected to facilitate a user interaction with the user application and/or the computer desktop; analyze a context of the at least some of the text in the closed captioning content, wherein the context indicates an application type associated with the at least some of the text; replace the at least some of the text with at least one user-defined symbol based, at least in part, on the context before displaying the closed captioning content on the first portion of the display area, wherein a same word or phrase in the closed captioning content is replaced with different user-defined symbols in association with different application types; display the at least a portion of the computer desktop from the second buffer on the second portion of the display area; and provide an ability to scroll the at least a portion of the computer desktop within the second portion of the display area, without causing movement of the at least some of the closed captioning content in the first portion of the display area, and without causing movement of the first portion of the display area. | 16. A computer system comprising: at least one display device having a display area; and at least one processor programmed to: display the computer desktop on the at least one display device while the display area is unpartitioned; in response to receiving a first instruction to display closed captioning content, partition the display area into a first portion for the closed captioning content and a second portion for a computer desktop, the second portion being reduced in size with respect to the unpartitioned display area to make room in the display area for the first portion for the closed captioning content; capture closed captioning content from a user application executing on the computer system and/or an operating system of the computer system, wherein the closed captioning content comprises text and is selected from the group consisting of title information for a currently active window displayed on the computer desktop, information about controls in a window displayed on the computer desktop, text typed in a document, help information for a computer desktop or user application element, alert information provided by the user application and/or the operating system, and information redirected for output by a speech synthesizer; write at least some of the closed captioning content to a first buffer mapped to the first portion of the display area; write at least a portion of the computer desktop to a second buffer mapped to the second portion of the display area and not to the first portion of the display area; display the at least some of the closed captioning content from the first buffer on the first portion of the display area, wherein the at least some of the closed captioning content displayed on the first portion of the display area is selected to facilitate a user interaction with the user application and/or the computer desktop; analyze a context of the at least some of the text in the closed captioning content, wherein the context indicates an application type associated with the at least some of the text; replace the at least some of the text with at least one user-defined symbol based, at least in part, on the context before displaying the closed captioning content on the first portion of the display area, wherein a same word or phrase in the closed captioning content is replaced with different user-defined symbols in association with different application types; display the at least a portion of the computer desktop from the second buffer on the second portion of the display area; and provide an ability to scroll the at least a portion of the computer desktop within the second portion of the display area, without causing movement of the at least some of the closed captioning content in the first portion of the display area, and without causing movement of the first portion of the display area. 18. The computer system of claim 16 , wherein a scaling of information displayed on the at least a portion of the computer desktop is not altered in response to partitioning the display area. | 0.741892 |
8,898,140 | 8 | 12 | 8. A system comprising: a processor; and a memory coupled with and readable by the processor and storing therein a set of instruction which, when executed by the processor, cause the processor to classify a query intent by: providing an ontology that defines a hierarchy of a plurality of concepts at different concept domain layers; classifying each of a plurality of received queries with a particular intent category based on the ontology, wherein the intent category is pre-defined by a single natural language word or phrase that summarizes a generalized information requested by the queries; associating an intent response formulated of natural language words or phrases with the particular intent category, wherein the intent response provides a single common applicable response for the queries relating to a first subject matter; providing an intent hierarchy of a plurality of intent categories including the particular intent category, wherein the intent hierarchy is independent and different from a hierarchy of the ontology; determining if the particular intent category has a parent hierarchical intent category located in a higher domain layer of the intent hierarchy; and if the parent hierarchical intent category is present in the particular intent hierarchy, then displaying an intent response of the parent hierarchical intent category with the single common applicable response, wherein the intent response of the parent hierarchical intent category corresponds to a second intent response that is different from the single common applicable response and that relates to a second subject matter that is broader than the first subject matter. | 8. A system comprising: a processor; and a memory coupled with and readable by the processor and storing therein a set of instruction which, when executed by the processor, cause the processor to classify a query intent by: providing an ontology that defines a hierarchy of a plurality of concepts at different concept domain layers; classifying each of a plurality of received queries with a particular intent category based on the ontology, wherein the intent category is pre-defined by a single natural language word or phrase that summarizes a generalized information requested by the queries; associating an intent response formulated of natural language words or phrases with the particular intent category, wherein the intent response provides a single common applicable response for the queries relating to a first subject matter; providing an intent hierarchy of a plurality of intent categories including the particular intent category, wherein the intent hierarchy is independent and different from a hierarchy of the ontology; determining if the particular intent category has a parent hierarchical intent category located in a higher domain layer of the intent hierarchy; and if the parent hierarchical intent category is present in the particular intent hierarchy, then displaying an intent response of the parent hierarchical intent category with the single common applicable response, wherein the intent response of the parent hierarchical intent category corresponds to a second intent response that is different from the single common applicable response and that relates to a second subject matter that is broader than the first subject matter. 12. The system of claim 8 , further comprising: identifying at least some most frequently queried intent categories for the queries; and providing pre-query intent responses or links for at least a portion of the identified most frequently queried intent categories. | 0.649077 |
9,161,297 | 8 | 9 | 8. The method of claim 7 , wherein the selecting the optimal communication network selects the optimal communication network using both the context-aware profile information and the parameter-based ranking score table. | 8. The method of claim 7 , wherein the selecting the optimal communication network selects the optimal communication network using both the context-aware profile information and the parameter-based ranking score table. 9. The method of claim 8 , wherein the selecting the optimal communication network comprises: determining ranking scores of each communication network for the recommended connection parameters using the parameter-based ranking score table; adding resulting values obtained by multiplying corresponding weights by the ranking scores, thus calculating a final network score for each communication network; and selecting a communication network having a highest score, from among final network scores for respective communication networks, as the optimal communication network. | 0.5 |
9,519,622 | 1 | 2 | 1. A method for copying a text format pattern, the method comprising: receiving a selection of a sample object from a user, the sample object including multiple sample paragraphs of which at least two sample paragraphs have different format patterns; receiving a format copying instruction from the user, the format copying instruction indicating reformatting a target object with a format pattern of the sample object, wherein the target object contains N number of target paragraphs; determining a corresponding relationship between the sample paragraphs and the target paragraphs by: generating a sample combination by dividing the sample paragraphs into M number of sample groups according to their order and format pattern, each sample group includes adjacent sample paragraphs of the same format pattern; generating a plurality of different candidate combinations by assigning the N number of target paragraphs to the M number of sample groups, wherein each of the plurality of candidate combinations comprises a different combination of target paragraphs and sample groups, and each of the N number of target paragraphs is assigned to only one of the M number of sample groups for each of the plurality of candidate combinations; selecting two or more preferred candidate combinations from the plurality of candidate combinations based on a degree of similarity between the sample combination and each of the plurality of candidate combinations; selecting a single matching combination from the two or more preferred candidate combinations; and applying the format pattern of the sample paragraphs to the target paragraphs in accordance with the corresponding relationship. | 1. A method for copying a text format pattern, the method comprising: receiving a selection of a sample object from a user, the sample object including multiple sample paragraphs of which at least two sample paragraphs have different format patterns; receiving a format copying instruction from the user, the format copying instruction indicating reformatting a target object with a format pattern of the sample object, wherein the target object contains N number of target paragraphs; determining a corresponding relationship between the sample paragraphs and the target paragraphs by: generating a sample combination by dividing the sample paragraphs into M number of sample groups according to their order and format pattern, each sample group includes adjacent sample paragraphs of the same format pattern; generating a plurality of different candidate combinations by assigning the N number of target paragraphs to the M number of sample groups, wherein each of the plurality of candidate combinations comprises a different combination of target paragraphs and sample groups, and each of the N number of target paragraphs is assigned to only one of the M number of sample groups for each of the plurality of candidate combinations; selecting two or more preferred candidate combinations from the plurality of candidate combinations based on a degree of similarity between the sample combination and each of the plurality of candidate combinations; selecting a single matching combination from the two or more preferred candidate combinations; and applying the format pattern of the sample paragraphs to the target paragraphs in accordance with the corresponding relationship. 2. The method of claim 1 , wherein determining the corresponding relationship between the sample paragraphs and the target paragraphs comprises: comparing the position of the sample paragraphs with the position of the target paragraphs. | 0.562963 |
7,680,821 | 1 | 7 | 1. An optimized query processing system in a database system in a computer system, the optimized query processing system for processing a query to the database system, wherein the database system comprises a table of data and an index correlated to both the query and to the table, the optimized query processing system comprising: an optimizer module to receive a query, the optimizer module to determine whether data responsive to the query has low distinct cardinality; an index accessing module, coupled in communication with the optimizer module, responsive to the optimizer module determining that the data responsive to the query has low distinct cardinality, the index accessing module to access the index to determine if the table contains a first data entry satisfying the query; and a tablescan module, coupled in communication with the index accessing module, responsive to the index accessing module determining that the first entry satisfies the query and prior to determining that a second data entry satisfies the query, the tablescan module to scan substantially the entire table to retrieve substantially all data values satisfying the query. | 1. An optimized query processing system in a database system in a computer system, the optimized query processing system for processing a query to the database system, wherein the database system comprises a table of data and an index correlated to both the query and to the table, the optimized query processing system comprising: an optimizer module to receive a query, the optimizer module to determine whether data responsive to the query has low distinct cardinality; an index accessing module, coupled in communication with the optimizer module, responsive to the optimizer module determining that the data responsive to the query has low distinct cardinality, the index accessing module to access the index to determine if the table contains a first data entry satisfying the query; and a tablescan module, coupled in communication with the index accessing module, responsive to the index accessing module determining that the first entry satisfies the query and prior to determining that a second data entry satisfies the query, the tablescan module to scan substantially the entire table to retrieve substantially all data values satisfying the query. 7. The system of claim 1 , wherein the index accessing module, responsive to the optimizer module determining that the data query does not have low distinct cardinality, the index accessing module to access the index to determine row identification for the table corresponding to each entry satisfying the query, and the tablescan module to retrieve values corresponding to the row identifications. | 0.610568 |
9,070,085 | 8 | 10 | 8. A knowledge management data processing system comprising: a computer with at least one processor and memory; a data store of categorizations coupled to the computer and comprising records associating answer content in the knowledge management data processing system with end user applied categories; an expert modeler coupled to the data store, the expert modeler executing in the memory of the computer and configured to apply a ranked order to sub-sets of categories in the data store of categorizations according to self-learning scores applied to the categories; and, organic ranked knowledge categorization logic comprising program code enabled when executed by the at least one processor of the computer to detect the bookmarking of answer content, bookmarking comprising adding answer content to favorites of an en user, to suggest a set of categories previously associated with end user bookmarked answer content by other end users of the knowledge management system in response to the end user bookmarking answer content, to determine whether the first end user selected a category from the suggested set of categories or whether the first end user selected a new category, upon determining the first end user selected the new category, to create the new category and also categorizing the bookmarked answer content according to the new category and upon determining the first end user selected the category from the suggested set of categories, to categorize the bookmarked answer content with a category selected from the set of categories. | 8. A knowledge management data processing system comprising: a computer with at least one processor and memory; a data store of categorizations coupled to the computer and comprising records associating answer content in the knowledge management data processing system with end user applied categories; an expert modeler coupled to the data store, the expert modeler executing in the memory of the computer and configured to apply a ranked order to sub-sets of categories in the data store of categorizations according to self-learning scores applied to the categories; and, organic ranked knowledge categorization logic comprising program code enabled when executed by the at least one processor of the computer to detect the bookmarking of answer content, bookmarking comprising adding answer content to favorites of an en user, to suggest a set of categories previously associated with end user bookmarked answer content by other end users of the knowledge management system in response to the end user bookmarking answer content, to determine whether the first end user selected a category from the suggested set of categories or whether the first end user selected a new category, upon determining the first end user selected the new category, to create the new category and also categorizing the bookmarked answer content according to the new category and upon determining the first end user selected the category from the suggested set of categories, to categorize the bookmarked answer content with a category selected from the set of categories. 10. The system of claim 8 , wherein the answer content are articles in the knowledge management system. | 0.64726 |
7,559,015 | 1 | 7 | 1. A data processing apparatus for processing media content comprised of a plurality of scenes, said apparatus comprising: a processor; a memory coupled to the processor; an input unit operable to input context description data including a plurality of segments each for describing one of said plurality of scenes of media content, said context description data further including: a context attribute having a value for describing a context of said media content, and a plurality of importance attributes each associated with one of said segments and having a value representing a degree of contextual importance of said corresponding one of said segments; and an output unit operable to output at least one of said segments based on at least one of said importance attributes, wherein said context description data further includes a plurality of time attributes each associated with a corresponding one of said segments for determining a start time and one of an end time or a duration of the scene associated with said corresponding segment. | 1. A data processing apparatus for processing media content comprised of a plurality of scenes, said apparatus comprising: a processor; a memory coupled to the processor; an input unit operable to input context description data including a plurality of segments each for describing one of said plurality of scenes of media content, said context description data further including: a context attribute having a value for describing a context of said media content, and a plurality of importance attributes each associated with one of said segments and having a value representing a degree of contextual importance of said corresponding one of said segments; and an output unit operable to output at least one of said segments based on at least one of said importance attributes, wherein said context description data further includes a plurality of time attributes each associated with a corresponding one of said segments for determining a start time and one of an end time or a duration of the scene associated with said corresponding segment. 7. The data processing apparatus according to claim 1 , wherein a plurality of context attributes and a plurality of importance attributes are associated with one segment. | 0.559278 |
9,836,448 | 18 | 19 | 18. The non-transitory computer readable storage medium of claim 17 , further configured to cause the apparatus to receive a user selection indicating the disambiguation priority for the common language dictionary, the user dictionary, the first specific subject matter lexicon, and the second specific subject matter lexicon, wherein the priorities influence disambiguation of the ambiguous user input. | 18. The non-transitory computer readable storage medium of claim 17 , further configured to cause the apparatus to receive a user selection indicating the disambiguation priority for the common language dictionary, the user dictionary, the first specific subject matter lexicon, and the second specific subject matter lexicon, wherein the priorities influence disambiguation of the ambiguous user input. 19. The non-transitory computer readable storage medium of claim 18 , wherein the disambiguation priorities are equal. | 0.5 |
9,888,316 | 7 | 11 | 7. A system comprising: a computing device including one or more processors configured to determine a parameter of a first microphone and a parameter of a second microphone, wherein the first microphone and the second microphone are associated with the computing device and wherein the parameter of the first microphone and the parameter of the second microphone is a magnitude spectrum parameter, the one or more processors further configured to generate a reference parameter based upon, at least in part, at least one of the parameter of the first microphone and the parameter of the second microphone, the one or more processors further configured to adjust a tolerance of at least one of the first microphone and the second microphone, based upon, at least in part, the reference parameter, the one or more processors further configured to receive, at the first microphone, a first speech signal corresponding to an utterance of a speaker, the first speech signal having a first speech signal magnitude, the one or more processors further configured to receive, at the second microphone, a second speech signal corresponding to the utterance of the speaker, the second speech signal having a second speech signal magnitude, the one or more processors further configured to compare at least one of the first speech signal magnitude and the second speech signal magnitude with a third speech signal magnitude, wherein comparing at least one of the first speech signal magnitude and the second speech signal magnitude with the third speech signal magnitude occurs after adjusting the tolerance of at least one of the first microphone and the second microphone, the one or more processors further configured to detect an obstructed microphone based upon, at least in part, comparing at least one of the first speech signal magnitude and the second speech signal magnitude with the third speech signal magnitude, wherein in response to detecting the obstructed microphone, the one or more processors are further configured to deactivate a beamforming setting associated with the computing device. | 7. A system comprising: a computing device including one or more processors configured to determine a parameter of a first microphone and a parameter of a second microphone, wherein the first microphone and the second microphone are associated with the computing device and wherein the parameter of the first microphone and the parameter of the second microphone is a magnitude spectrum parameter, the one or more processors further configured to generate a reference parameter based upon, at least in part, at least one of the parameter of the first microphone and the parameter of the second microphone, the one or more processors further configured to adjust a tolerance of at least one of the first microphone and the second microphone, based upon, at least in part, the reference parameter, the one or more processors further configured to receive, at the first microphone, a first speech signal corresponding to an utterance of a speaker, the first speech signal having a first speech signal magnitude, the one or more processors further configured to receive, at the second microphone, a second speech signal corresponding to the utterance of the speaker, the second speech signal having a second speech signal magnitude, the one or more processors further configured to compare at least one of the first speech signal magnitude and the second speech signal magnitude with a third speech signal magnitude, wherein comparing at least one of the first speech signal magnitude and the second speech signal magnitude with the third speech signal magnitude occurs after adjusting the tolerance of at least one of the first microphone and the second microphone, the one or more processors further configured to detect an obstructed microphone based upon, at least in part, comparing at least one of the first speech signal magnitude and the second speech signal magnitude with the third speech signal magnitude, wherein in response to detecting the obstructed microphone, the one or more processors are further configured to deactivate a beamforming setting associated with the computing device. 11. The system of claim 7 , the one or more processors are further configured to generate at the computing device, a feedback signal configured to indicate a presence of the obstructed microphone. | 0.5 |
9,589,032 | 2 | 4 | 2. A method, comprising: generating, in at least one computing device, a content page having a search term user interface element; receiving, in the at least one computing device, at least one character from the search term user interface element, the at least one character corresponding to a search for an item in an electronic repository; generating, in the at least one computing device, a plurality of suggested search terms corresponding to the at least one character; retrieving, from the electronic repository, at least one search result associated with each of the plurality of suggested search terms, the electronic repository storing data associated with products available from an electronic commerce system; asynchronously updating, in the at least one computing device, the content page with a suggested search term user interface element, the suggested search term user interface element displaying the plurality of suggested search terms in a list beneath the search term user interface element, wherein each item in the list beneath the search term user interface element corresponds to a respective one of the plurality of suggested search terms and each of the plurality of suggested search terms is associated with a plurality of search results displayed horizontally offset from one of the plurality of suggested search terms and each of the plurality of search results is associated with a representative image; receiving, in the at least one computing device, at least one additional character from the search term user interface element; determining, in the at least one computing device, that the at least one suggested search term is no longer relevant to the suggested search term user interface element based at least in part upon the at least one additional character; removing, in the at least one computing device, the at least one suggested search term from the content page; generating, in the at least one computing device, at least one other suggested search term corresponding to the at least one additional character; retrieving, from the electronic repository, at least one other search result associated with the at least one other suggested search term; and asynchronously updating, in the at least one computing device, the content page with another suggested search term user interface element. | 2. A method, comprising: generating, in at least one computing device, a content page having a search term user interface element; receiving, in the at least one computing device, at least one character from the search term user interface element, the at least one character corresponding to a search for an item in an electronic repository; generating, in the at least one computing device, a plurality of suggested search terms corresponding to the at least one character; retrieving, from the electronic repository, at least one search result associated with each of the plurality of suggested search terms, the electronic repository storing data associated with products available from an electronic commerce system; asynchronously updating, in the at least one computing device, the content page with a suggested search term user interface element, the suggested search term user interface element displaying the plurality of suggested search terms in a list beneath the search term user interface element, wherein each item in the list beneath the search term user interface element corresponds to a respective one of the plurality of suggested search terms and each of the plurality of suggested search terms is associated with a plurality of search results displayed horizontally offset from one of the plurality of suggested search terms and each of the plurality of search results is associated with a representative image; receiving, in the at least one computing device, at least one additional character from the search term user interface element; determining, in the at least one computing device, that the at least one suggested search term is no longer relevant to the suggested search term user interface element based at least in part upon the at least one additional character; removing, in the at least one computing device, the at least one suggested search term from the content page; generating, in the at least one computing device, at least one other suggested search term corresponding to the at least one additional character; retrieving, from the electronic repository, at least one other search result associated with the at least one other suggested search term; and asynchronously updating, in the at least one computing device, the content page with another suggested search term user interface element. 4. The method of claim 2 , further comprising: receiving at least one navigation input corresponding to user input on an input device; and asynchronously updating the other suggested search term user interface element to reflect the at least one navigation input by indicating one of the plurality of search results as a selected one of the search results. | 0.5 |
7,657,935 | 40 | 48 | 40. A system for detecting an occurrence of a violation of an email security policy of a computer system by transmission of selected email through said computer system comprising: a client comprising: (i) an email server configured to receive and transmit said selected email for one or more email accounts; (ii) a client database configured to store information relating to said selected email and a model derived from statistics relating to transmission behavior of prior emails transmitted through said computer system; and (iii) an analysis component configured to define a model for said selected email based on statistics relating to transmission behavior of said selected email, wherein the model is configured to group email addresses in said prior emails into one or more cliques based on the occurrence of said email addresses in common prior emails and compare said selected email model and said model derived from statistics relating to transmission behavior of said prior emails based on whether email addresses in said new email are members of more than one said clique; (iv) a communications component configured to transmit statistics relating to the selected email to a server. | 40. A system for detecting an occurrence of a violation of an email security policy of a computer system by transmission of selected email through said computer system comprising: a client comprising: (i) an email server configured to receive and transmit said selected email for one or more email accounts; (ii) a client database configured to store information relating to said selected email and a model derived from statistics relating to transmission behavior of prior emails transmitted through said computer system; and (iii) an analysis component configured to define a model for said selected email based on statistics relating to transmission behavior of said selected email, wherein the model is configured to group email addresses in said prior emails into one or more cliques based on the occurrence of said email addresses in common prior emails and compare said selected email model and said model derived from statistics relating to transmission behavior of said prior emails based on whether email addresses in said new email are members of more than one said clique; (iv) a communications component configured to transmit statistics relating to the selected email to a server. 48. The system as recited in claim 40 , wherein statistics relating to the transmission behavior of email comprises a number of email recipients to which an email account transmits an email. | 0.644195 |
8,666,226 | 1 | 10 | 1. A method for converting an original script code of video having relative dynamic descriptors of objects orientation into video with absolute descriptors orientation for objects in the video, said method comprising the steps of: identifying exchangeable dynamic objects in the video; parsing each frame script code for analyzing relative dynamic descriptors of objects; determining absolute descriptors' values for each object based on analysis of the relative dynamic descriptors of objects; creating new script code for the video determining the absolute descriptors values for each object in each frame; and generating a video template which supports the creation of customized videos by altering or exchanging dynamic objects. | 1. A method for converting an original script code of video having relative dynamic descriptors of objects orientation into video with absolute descriptors orientation for objects in the video, said method comprising the steps of: identifying exchangeable dynamic objects in the video; parsing each frame script code for analyzing relative dynamic descriptors of objects; determining absolute descriptors' values for each object based on analysis of the relative dynamic descriptors of objects; creating new script code for the video determining the absolute descriptors values for each object in each frame; and generating a video template which supports the creation of customized videos by altering or exchanging dynamic objects. 10. The method of claim 1 , wherein the generating of the video template includes the following steps: applying defined business rules for defining control parameters and setting values of the dynamic parameters to the video template; editing the dynamic objects based on the dynamic parameters; selecting relevant segments of the video template based control parameters; and integrating and rendering selected segments with edited dynamic objects for resulting with a customized video. | 0.5 |
8,161,066 | 2 | 13 | 2. A method for creating a semantic object to represent a target referent of an object type, the semantic object being stored on a computer readable medium, the method, comprising, creating the semantic object of a semantic object type to represent the target referent of the object type, the semantic object having multiple meta-tags that are each associable with metadata; wherein, the semantic object of the semantic object type is suitable to represent the object type of the target referent; associating a meta-tag of the multiple meta-tags with the metadata; wherein the meta-tag or the metadata is definable using an ontology; and extracting a portion of the content from the target referent for inclusion in the semantic object; subsequently determining that the target referent has been revised, updating metadata associated with one or more meta-taps of the multiple meta-taps of the semantic object based on the revision; wherein the extraction is part of a data mining performed on selected resources including the ontology or the Internet. sharing, with another user, the semantic object having included therein the portion of the content extracted from the target referent. | 2. A method for creating a semantic object to represent a target referent of an object type, the semantic object being stored on a computer readable medium, the method, comprising, creating the semantic object of a semantic object type to represent the target referent of the object type, the semantic object having multiple meta-tags that are each associable with metadata; wherein, the semantic object of the semantic object type is suitable to represent the object type of the target referent; associating a meta-tag of the multiple meta-tags with the metadata; wherein the meta-tag or the metadata is definable using an ontology; and extracting a portion of the content from the target referent for inclusion in the semantic object; subsequently determining that the target referent has been revised, updating metadata associated with one or more meta-taps of the multiple meta-taps of the semantic object based on the revision; wherein the extraction is part of a data mining performed on selected resources including the ontology or the Internet. sharing, with another user, the semantic object having included therein the portion of the content extracted from the target referent. 13. The method of claim 2 , wherein, the target referent is a digital object comprising streaming media or other multimedia content. | 0.877095 |
8,959,011 | 8 | 9 | 8. One or more non-transitory physical computer-accessible media encoded with instructions for a processor, for performing a method, the method comprising: performing, using a processor, lexical-morphological analysis of a source sentence of the text in the source language for generating a lexical-morphological structure of the source sentence; if the lexical-morphological analysis identifies words which are not found in dictionaries or which have no corresponding morphological description or lexical description, providing at least one such word for displaying, using an output device, in a visually distinctive manner to a user so as to indicate that the at least one such word is potentially erroneous; performing syntactic analysis of the lexical-morphological structure of the source sentence for generating a language-independent semantic structure of the source sentence; if, during the syntactic analysis, a hypothesis with a low rating is selected by a processor as a preferred syntactic structure, providing a fragment of the source sentence corresponding to the preferred syntactic structure for display in a visually distinctive manner so as to indicate that the fragment is potentially erroneous; and performing syntactic synthesis for generating a target sentence in a target language from the source sentence. | 8. One or more non-transitory physical computer-accessible media encoded with instructions for a processor, for performing a method, the method comprising: performing, using a processor, lexical-morphological analysis of a source sentence of the text in the source language for generating a lexical-morphological structure of the source sentence; if the lexical-morphological analysis identifies words which are not found in dictionaries or which have no corresponding morphological description or lexical description, providing at least one such word for displaying, using an output device, in a visually distinctive manner to a user so as to indicate that the at least one such word is potentially erroneous; performing syntactic analysis of the lexical-morphological structure of the source sentence for generating a language-independent semantic structure of the source sentence; if, during the syntactic analysis, a hypothesis with a low rating is selected by a processor as a preferred syntactic structure, providing a fragment of the source sentence corresponding to the preferred syntactic structure for display in a visually distinctive manner so as to indicate that the fragment is potentially erroneous; and performing syntactic synthesis for generating a target sentence in a target language from the source sentence. 9. The non-transitory media of claim 8 , wherein the method further comprises, if, during syntactic synthesis, a hypothesis with a low rating or a default structure is selected by a processor, providing for display in a visually distinctive manner a fragment of the source sentence corresponding to the hypothesis with the low rating or the default structure, for indicating that the fragment is potentially erroneous. | 0.5 |
7,822,605 | 24 | 33 | 24. An apparatus for determining whether a speaker uttering a tested utterance belongs to a predetermined set comprising an at least one known speaker, wherein an at least one training utterance is available for each of the at least one known speaker, the apparatus comprising: a feature extraction component for extracting a feature group of the tested utterance or of each of the at least one training utterance; a fast scoring component for scoring a part of the feature group associated with part of the tested utterance against an at least one model for obtaining a fast intermediate score, determining an at least one fast model score using the fast intermediate score, and selecting an at least one probable model associated with a fast intermediate score which is higher than other fast intermediate scores; a frame scoring component for scoring the feature group against an at least one probable model, to obtain an at least one intermediate score; a total model scoring component for determining an at least one model score using the at least one intermediate score; and a maximal score determination component for selecting a maximal score from the at least one model score. | 24. An apparatus for determining whether a speaker uttering a tested utterance belongs to a predetermined set comprising an at least one known speaker, wherein an at least one training utterance is available for each of the at least one known speaker, the apparatus comprising: a feature extraction component for extracting a feature group of the tested utterance or of each of the at least one training utterance; a fast scoring component for scoring a part of the feature group associated with part of the tested utterance against an at least one model for obtaining a fast intermediate score, determining an at least one fast model score using the fast intermediate score, and selecting an at least one probable model associated with a fast intermediate score which is higher than other fast intermediate scores; a frame scoring component for scoring the feature group against an at least one probable model, to obtain an at least one intermediate score; a total model scoring component for determining an at least one model score using the at least one intermediate score; and a maximal score determination component for selecting a maximal score from the at least one model score. 33. The apparatus of claim 24 further comprising a decision component for determining according to the maximal score whether the speaker uttering the tested utterance belongs to the predetermined set. | 0.5 |
7,958,107 | 2 | 4 | 2. The method of claim 1 further comprising enabling the user to view at least a portion of the plurality of associated keywords for the keyword search term. | 2. The method of claim 1 further comprising enabling the user to view at least a portion of the plurality of associated keywords for the keyword search term. 4. The method of claim 2 wherein enabling the user to view the at least a portion of the plurality of associated keywords for the keyword search term comprises presenting, to the user, all of the plurality of associated keywords. | 0.683702 |
7,770,110 | 15 | 16 | 15. The computer-implemented method of claim 12 , further comprising the steps of: determining if the instruction comprises an implementation specifier for the function specification; determining if the implementation specifier is semantically consistent with the function specification and the intermediate function if the instruction comprises and implementation specifier; and determining the implementation specifier for the add-in function if the instruction does not comprise an implementation specifier. | 15. The computer-implemented method of claim 12 , further comprising the steps of: determining if the instruction comprises an implementation specifier for the function specification; determining if the implementation specifier is semantically consistent with the function specification and the intermediate function if the instruction comprises and implementation specifier; and determining the implementation specifier for the add-in function if the instruction does not comprise an implementation specifier. 16. The computer-implemented method of claim 15 , wherein determining the implementation specifier for the add-in function further comprises the steps of: determining if the function specification comprises a return value; inputting a method call as the implementation specifier for the intermediate function if the function specification comprises a return value; and inputting create and define as the implementation specifier for the intermediate function if the function specifier does not comprise a return value. | 0.5 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.