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23. A non-transitory computer-readable memory comprising computer-readable instructions, which when executed cause a processor to perform steps comprising: receiving speech for analysis via a computer-readable storage medium; performing automatic speech recognition on speech using a processor to generate word hypotheses for the speech, the word hypotheses identifying a set words recognized by an automated speech recognizer in the speech using one or more data processors; performing time alignment between the speech and the word hypotheses using the automatic speech recognizer to associate the word hypotheses with corresponding sounds of the speech; calculating statistics regarding individual words and phonemes of the word hypotheses using the processor based on said alignment; calculating a plurality of features for use in assessing pronunciation of the speech based on the statistics using the processor; and calculating an assessment score based on one or more of the calculated features.
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23. A non-transitory computer-readable memory comprising computer-readable instructions, which when executed cause a processor to perform steps comprising: receiving speech for analysis via a computer-readable storage medium; performing automatic speech recognition on speech using a processor to generate word hypotheses for the speech, the word hypotheses identifying a set words recognized by an automated speech recognizer in the speech using one or more data processors; performing time alignment between the speech and the word hypotheses using the automatic speech recognizer to associate the word hypotheses with corresponding sounds of the speech; calculating statistics regarding individual words and phonemes of the word hypotheses using the processor based on said alignment; calculating a plurality of features for use in assessing pronunciation of the speech based on the statistics using the processor; and calculating an assessment score based on one or more of the calculated features. 25. The non-transitory computer-readable memory of claim 23 , wherein a confidence level is associated with each word in the word hypotheses identifying a likelihood that a word in a word hypothesis was correctly recognized in generating the word hypotheses.
| 0.80945 |
10. The application server as claimed in claim 9 , wherein the project template data comprises responsibility type data representing at least one responsibility type and wherein, in generating the responsibility data, the processor is further controlled by the computer program code to assign a type to the at least one responsibility.
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10. The application server as claimed in claim 9 , wherein the project template data comprises responsibility type data representing at least one responsibility type and wherein, in generating the responsibility data, the processor is further controlled by the computer program code to assign a type to the at least one responsibility. 11. The application server as claimed in claim 10 , wherein the at least one responsibility type comprises at least one of responsible, accountable, consulted and informed types.
| 0.90772 |
1. A computer system comprising a processor coupled to a memory, wherein the memory is encoded with computer executable instructions that when executed cause the processor to: provide a plurality of parse items, the plurality of parse items based, at least in part, on text data; provide an individual semantic match based, at least in part, on a parse item of the plurality of parse items and a set of semantic data definitions; provide a merged semantic match based, at least in part, on the parse item of the plurality of parse items and the set of semantic data definitions; provide a merged parse item responsive to determining that the merged semantic match provides a better semantic match than the individual semantic match; and provide an ordered data structure including the merged parse item and the plurality of parse items.
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1. A computer system comprising a processor coupled to a memory, wherein the memory is encoded with computer executable instructions that when executed cause the processor to: provide a plurality of parse items, the plurality of parse items based, at least in part, on text data; provide an individual semantic match based, at least in part, on a parse item of the plurality of parse items and a set of semantic data definitions; provide a merged semantic match based, at least in part, on the parse item of the plurality of parse items and the set of semantic data definitions; provide a merged parse item responsive to determining that the merged semantic match provides a better semantic match than the individual semantic match; and provide an ordered data structure including the merged parse item and the plurality of parse items. 7. The computer system of claim 1 , wherein the instructions to provide a merged parse item further cause the processor to: copy the parse item to provide a copied parse item; merge another parse item of the plurality of parse items with the copied parse item to provide the merged parse item; and replace the parse item with the merged parse item in a linked list.
| 0.573044 |
8. A topic transition analysis system comprising: a statement trigger string determination unit receiving a primary media stream and one or a plurality of language communication streams (hereinafter, language streams) executed in parallel with the media stream and determining whether or not a certain statement on the one or plurality of language streams has been made newly in response to contents of the media stream; and one or a plurality of topic similarity calculation unit calculating a topic similarity between the statement and a media stream at and around the time when the statement is made and a topic similarity between the statement and a group of statements made immediately before the statement, wherein the statement trigger string determination unit determines a string having a higher topic similarity to be a string that has triggered the statement.
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8. A topic transition analysis system comprising: a statement trigger string determination unit receiving a primary media stream and one or a plurality of language communication streams (hereinafter, language streams) executed in parallel with the media stream and determining whether or not a certain statement on the one or plurality of language streams has been made newly in response to contents of the media stream; and one or a plurality of topic similarity calculation unit calculating a topic similarity between the statement and a media stream at and around the time when the statement is made and a topic similarity between the statement and a group of statements made immediately before the statement, wherein the statement trigger string determination unit determines a string having a higher topic similarity to be a string that has triggered the statement. 14. The topic transition analysis system according to claim 8 , further comprising: a speech recognition unit generating a text string adapted for an arbitrary topic from a speech signal included in the language stream; and a speech recognition result reliability estimation unit estimating validity of a text string generated by the speech recognition unit, wherein, when the speech recognition unit generates a text string from a speech signal, which is a speech of the statement, of a language stream section, at least one of the topic similarity calculation unit executes a speech recognition process adapted for a topic estimated from the entire section or an arbitrary section of the media stream and one or a plurality of statement groups, which are similarity calculation targets, and calculates a topic similarity based on reliability indices obtained after the speech recognition result reliability estimation unit estimates validity on the text strings obtained by the speech recognition process.
| 0.5 |
1. A method for querying a knowledge resource comprising: providing a querying system which is configured for executing queries in a query language that accepts global backreferences that are not limited to being located in a respective condition which includes a regular expression to which the global backreference refers; receiving an input query which seeks information from the knowledge resource; with the querying system, based on the input query, executing a query containing a global backreference comprising retrieving results from the knowledge resource responsive to the query, the query including a set of conditions, a first of the conditions including a regular expression that identifies strings in the knowledge resource that match the regular expression, the regular expression including a capturing group for capturing a substring of an identified matching string, the global backreference retrieving the substring captured by the capturing group and wherein the global backreference comprises a remote backreference which is outside the first condition; and outputting at least one of the results of the query containing the global backreference and information based on the results.
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1. A method for querying a knowledge resource comprising: providing a querying system which is configured for executing queries in a query language that accepts global backreferences that are not limited to being located in a respective condition which includes a regular expression to which the global backreference refers; receiving an input query which seeks information from the knowledge resource; with the querying system, based on the input query, executing a query containing a global backreference comprising retrieving results from the knowledge resource responsive to the query, the query including a set of conditions, a first of the conditions including a regular expression that identifies strings in the knowledge resource that match the regular expression, the regular expression including a capturing group for capturing a substring of an identified matching string, the global backreference retrieving the substring captured by the capturing group and wherein the global backreference comprises a remote backreference which is outside the first condition; and outputting at least one of the results of the query containing the global backreference and information based on the results. 5. The method of claim 1 , wherein the query language provides that for a query which includes more than one global backreference, each global backreference in a query refers to a captured group of a source regular expression which is an immediately preceding regular expression in the query.
| 0.610823 |
24. A computing device comprising: a memory configured to store instructions; and a processor configured to execute the instructions to perform a method comprising: analyzing content of a received electronic document in an autonomous manner, by a requested agent, to identify each unique character of one or more fonts included in the content of the electronic document; initiating a request for a subset of one or more of the fonts included in the content of the electronic document, wherein the request includes each identified unique character of the respective one or more fonts; and receiving the subset of the one or more fonts, or, the subset of the one or more fonts and additional characters, inclusion of the additional characters being based upon a data transfer threshold.
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24. A computing device comprising: a memory configured to store instructions; and a processor configured to execute the instructions to perform a method comprising: analyzing content of a received electronic document in an autonomous manner, by a requested agent, to identify each unique character of one or more fonts included in the content of the electronic document; initiating a request for a subset of one or more of the fonts included in the content of the electronic document, wherein the request includes each identified unique character of the respective one or more fonts; and receiving the subset of the one or more fonts, or, the subset of the one or more fonts and additional characters, inclusion of the additional characters being based upon a data transfer threshold. 28. The computing device of claim 24 , in which analyzing content of the received electronic document includes parsing the content of the electronic document to identify the characters represented in the document.
| 0.521205 |
1. A specific call detecting device comprising: an utterance period detecting unit which detects at least a first utterance period in a call between a first speaker and a second speaker, from among the first utterance period in which the first speaker speaks from a first voice uttered by the first speaker and obtained by a voice input unit, and a second utterance period in which the second speaker speaks from a second voice uttered by the second speaker; an utterance ratio calculating unit which calculates utterance ratio of the first speaker in the call on the basis of at least the first utterance period among the first and second utterance periods; a voice recognition execution determining unit which determines whether at least one of the first and second voices is to be a target of voice recognition or not on the basis of the utterance ratio; a voice recognizing unit which detects a keyword related to a specific call from the voice determined as a target of voice recognition among the first and second voices; and a determining unit which calculates an evaluation value so that the larger the number of keywords detected is, the higher the evaluation value indicative of probability of the specific call is, and when the evaluation value is equal to or higher than a predetermined threshold, determines that the call is the specific call.
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1. A specific call detecting device comprising: an utterance period detecting unit which detects at least a first utterance period in a call between a first speaker and a second speaker, from among the first utterance period in which the first speaker speaks from a first voice uttered by the first speaker and obtained by a voice input unit, and a second utterance period in which the second speaker speaks from a second voice uttered by the second speaker; an utterance ratio calculating unit which calculates utterance ratio of the first speaker in the call on the basis of at least the first utterance period among the first and second utterance periods; a voice recognition execution determining unit which determines whether at least one of the first and second voices is to be a target of voice recognition or not on the basis of the utterance ratio; a voice recognizing unit which detects a keyword related to a specific call from the voice determined as a target of voice recognition among the first and second voices; and a determining unit which calculates an evaluation value so that the larger the number of keywords detected is, the higher the evaluation value indicative of probability of the specific call is, and when the evaluation value is equal to or higher than a predetermined threshold, determines that the call is the specific call. 2. The specific call detecting device according to claim 1 , wherein the voice recognition execution determining unit determines that the first voice is a target of voice recognition until a period in which the utterance ratio is higher than a predetermined threshold, reaches a first period, and determines that the first voice is not a target of voice recognition after the period in which the utterance ratio is higher than the threshold, reaches the first period.
| 0.5094 |
1. A method for annotation, comprising: running an initial build file; generating, based on one or more annotations predefined in a folder, an index file as the initial build the is run, wherein the index file includes first and second strings, wherein the first string defines a key specifying one of the one or more predefined annotations, wherein the second string defines a value specifying a name of a class that is mapped to the annotation, wherein the folder is added as an indexed annotation; archiving the index file with the one or more predefined mapped annotations and class; and looking up, based on a given annotation, the index file to seek one or more classes associated with the given annotation.
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1. A method for annotation, comprising: running an initial build file; generating, based on one or more annotations predefined in a folder, an index file as the initial build the is run, wherein the index file includes first and second strings, wherein the first string defines a key specifying one of the one or more predefined annotations, wherein the second string defines a value specifying a name of a class that is mapped to the annotation, wherein the folder is added as an indexed annotation; archiving the index file with the one or more predefined mapped annotations and class; and looking up, based on a given annotation, the index file to seek one or more classes associated with the given annotation. 3. The method of claim 1 , wherein the initial build file is associated with a Java file.
| 0.597032 |
19. A machine-readable medium encoded with instructions, that when executed by one or more processors, cause the processor to carry out a process for generating attribute models for use in a navigation system in a vehicle, the process comprising: for each of a plurality of driving sessions, during which the user travelled over a plurality of road segments in the vehicle: collecting sensor data of the vehicle for each of the plurality road segments travelled during a driving session; and associating the sensor data with at least one of a plurality of conditions, each condition descriptive of the driving session at the time the user travelled on the road segment; for each of the plurality of road segments, determining a value of a road familiarity of the road segment based upon the sensor data collected for that road segment, and associated with at least one of the conditions; and for each of the plurality of conditions, storing the values of the road familiarity in a conditional variant model associated with the condition.
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19. A machine-readable medium encoded with instructions, that when executed by one or more processors, cause the processor to carry out a process for generating attribute models for use in a navigation system in a vehicle, the process comprising: for each of a plurality of driving sessions, during which the user travelled over a plurality of road segments in the vehicle: collecting sensor data of the vehicle for each of the plurality road segments travelled during a driving session; and associating the sensor data with at least one of a plurality of conditions, each condition descriptive of the driving session at the time the user travelled on the road segment; for each of the plurality of road segments, determining a value of a road familiarity of the road segment based upon the sensor data collected for that road segment, and associated with at least one of the conditions; and for each of the plurality of conditions, storing the values of the road familiarity in a conditional variant model associated with the condition. 22. The machine-readable medium of claim 19 , wherein storing the values of the road familiarity in a conditional variant model, associated with the condition comprises: clustering values of the road familiarity based on a similarity metric; and forming a conditional variant model for an implicit condition based on the clustered values.
| 0.536222 |
1. A method for providing controlled access to an electronic signature document for a plurality of users, comprising: executing, via one or more processors, an electronic signature service (ESS) on a web server, the electronic signature service stored as an executable module on one or more memory devices, the executable module when executed by the one or more processors, causes the one or more processors to perform operations comprising: identifying one or more documents associated with a document owner, the one or more documents including a document that comprises content including terms for an agreement between the plurality of users, the plurality of users including a signing user, the document being an individual file; receiving a request from a client device associated with the document owner via an application programming interface (API) over a network to pre-tag the document to indicate a location for signature and a signing role for the signing user; in response to receiving an instruction to link the document to a transaction room for signing, creating a non-editable copy of the document for signing on a storage device accessible to the transaction room for the agreement, the non-editable copy being an additional individual file in a non-editable format, the transaction room implemented as a web service accessible by the plurality of users remotely over the network, the non-editable copy of the document for signing viewable by the plurality of users remotely through a graphical user interface of the transaction room, the content of the non-editable copy of the document for signing not being editable by the plurality of users remotely through the graphical user interface of the transaction room; associating the signing user with the signing role; in response to receiving an instruction to transmit the document for signing to at least the signing user, tagging the non-editable copy of the document for signing with one or more tags based on the pre-tag to display data identifying the location for signature for the signing user to sign; and in response to receiving, from the signing user, input information for the document for signing, overlaying the input information on the non-editable copy of the document for signing without altering the terms for the agreement in the non-editable copy of the document for signing.
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1. A method for providing controlled access to an electronic signature document for a plurality of users, comprising: executing, via one or more processors, an electronic signature service (ESS) on a web server, the electronic signature service stored as an executable module on one or more memory devices, the executable module when executed by the one or more processors, causes the one or more processors to perform operations comprising: identifying one or more documents associated with a document owner, the one or more documents including a document that comprises content including terms for an agreement between the plurality of users, the plurality of users including a signing user, the document being an individual file; receiving a request from a client device associated with the document owner via an application programming interface (API) over a network to pre-tag the document to indicate a location for signature and a signing role for the signing user; in response to receiving an instruction to link the document to a transaction room for signing, creating a non-editable copy of the document for signing on a storage device accessible to the transaction room for the agreement, the non-editable copy being an additional individual file in a non-editable format, the transaction room implemented as a web service accessible by the plurality of users remotely over the network, the non-editable copy of the document for signing viewable by the plurality of users remotely through a graphical user interface of the transaction room, the content of the non-editable copy of the document for signing not being editable by the plurality of users remotely through the graphical user interface of the transaction room; associating the signing user with the signing role; in response to receiving an instruction to transmit the document for signing to at least the signing user, tagging the non-editable copy of the document for signing with one or more tags based on the pre-tag to display data identifying the location for signature for the signing user to sign; and in response to receiving, from the signing user, input information for the document for signing, overlaying the input information on the non-editable copy of the document for signing without altering the terms for the agreement in the non-editable copy of the document for signing. 6. The method of claim 1 , further comprising: receiving the one or more documents from the document owner via a first web service, wherein at least the document from the one or more documents is editable through the first web service.
| 0.604911 |
18. The apparatus according to claim 17 , wherein said converter for converting an XML encoded dataset associated with each identified hierarchical structure further comprises: storage for storing said one or more pre-processed content fields in an SQL content table, said record in said content table having a node identifier field containing the corresponding node identifier, a block identifier field and a content field.
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18. The apparatus according to claim 17 , wherein said converter for converting an XML encoded dataset associated with each identified hierarchical structure further comprises: storage for storing said one or more pre-processed content fields in an SQL content table, said record in said content table having a node identifier field containing the corresponding node identifier, a block identifier field and a content field. 19. The apparatus according to claim 18 , wherein said converter for converting an XML encoded dataset associated with each identified hierarchical structure further comprises: a generator for generating an SQL ancestry table to define the inter-relationships among nodes of said identified hierarchical structure of said XML encoded dataset.
| 0.838228 |
9. The process of claim 6 that includes the further step of cooling a magnet or a coil made of a superocnducting material with said cold head.
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9. The process of claim 6 that includes the further step of cooling a magnet or a coil made of a superocnducting material with said cold head. 11. The process of claim 9 that further includes the step of linking the cold head to the magnet or coil by copper strips.
| 0.934426 |
16. The storage device of claim 15 , further comprising instructions, which when executed by the machine, configure the machine to create a new story including the news event if the distance is greater than the specified distance.
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16. The storage device of claim 15 , further comprising instructions, which when executed by the machine, configure the machine to create a new story including the news event if the distance is greater than the specified distance. 20. The storage device of claim 16 , further comprising wherein the instructions for calculating a distance between the LSH key of the news event and the LSH key of the story include instructions, which when executed by the machine, configure the machine to determine a Hamming distance between the LSH keys.
| 0.843933 |
8. A computer program product comprising a non-transitory computer readable storage device having a computer readable program stored thereon, wherein the computer readable program when executed on a computer causes the computer to: receive, at a language interpretation system, a request for a real time interpretation performed by a human language interpreter of a voice communication between a first voice communication participant speaking a first language and a second voice communication participant speaking a second language during the voice communication, the request being received from the first voice communication participant; provide, at the language interpretation system, the request to a human language interpreter; translate, with a machine language interpreter, the voice communication into a set of text data; and send the text data to a display device that displays the set of text data during a verbal human language interpretation of the voice communication performed by the human language interpreter in real time during the voice communication so that the human language interpreter utilizes the set of text data to perform the verbal human language interpretation, the human language interpretation being communicated by the human language interpreter to the second voice communication participant without the machine language interpreter, the verbal human language interpretation being unmodified prior to and during the communication of the human language interpreter to the second voice communication participant.
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8. A computer program product comprising a non-transitory computer readable storage device having a computer readable program stored thereon, wherein the computer readable program when executed on a computer causes the computer to: receive, at a language interpretation system, a request for a real time interpretation performed by a human language interpreter of a voice communication between a first voice communication participant speaking a first language and a second voice communication participant speaking a second language during the voice communication, the request being received from the first voice communication participant; provide, at the language interpretation system, the request to a human language interpreter; translate, with a machine language interpreter, the voice communication into a set of text data; and send the text data to a display device that displays the set of text data during a verbal human language interpretation of the voice communication performed by the human language interpreter in real time during the voice communication so that the human language interpreter utilizes the set of text data to perform the verbal human language interpretation, the human language interpretation being communicated by the human language interpreter to the second voice communication participant without the machine language interpreter, the verbal human language interpretation being unmodified prior to and during the communication of the human language interpreter to the second voice communication participant. 13. The computer program product of claim 8 , wherein the text is displayed in real-time.
| 0.690736 |
48. The method of claim 47 , wherein the advertiser is a job provider presenting advertisements to job candidates and the plurality of users are job candidates conducting searches for job openings.
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48. The method of claim 47 , wherein the advertiser is a job provider presenting advertisements to job candidates and the plurality of users are job candidates conducting searches for job openings. 53. The method of claim 48 , wherein the explicit criteria of the advertiser is collected from a query directed to the user, a questionnaire, a registration form, or a search query.
| 0.964221 |
17. A personal digital assistant device comprising: a storage means having a data base for storing 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 an electronic communication link; a first user input means, said first user input means being operable by a user for inputting a search key corresponding to at least one of the data elements of at least one of said records; a search engine for comparing at least one of the data elements of at least one of the records to the search key; a display for displaying at least a portion of those ones of said records having at least one data element corresponding to the search key; a second user input means, said second user input means being operable by the user for selecting one of the records having at least one data element corresponding to the search key; and electronic communication means for initiating an electronic communication to the party identified by the identifier defined by data elements of the selected record, using one of a plurality of types of electronic communication.
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17. A personal digital assistant device comprising: a storage means having a data base for storing 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 an electronic communication link; a first user input means, said first user input means being operable by a user for inputting a search key corresponding to at least one of the data elements of at least one of said records; a search engine for comparing at least one of the data elements of at least one of the records to the search key; a display for displaying at least a portion of those ones of said records having at least one data element corresponding to the search key; a second user input means, said second user input means being operable by the user for selecting one of the records having at least one data element corresponding to the search key; and electronic communication means for initiating an electronic communication to the party identified by the identifier defined by data elements of the selected record, using one of a plurality of types of electronic communication. 22. The personal digital assistant device as in claim 17, wherein at least one of the first and second user input means is comprised of a user touch-sensitive screen.
| 0.763961 |
7. The voice recognition method as claimed in claim 6 , wherein the second parsing step includes a calculation step of calculating a word score based on features of the words contained in the text converted by the voice recognition step, and identifies the second control candidate group by parsing the text with respect to the control objects which are among the predefined types of control objects but not included in the first control candidate group and whose each word score satisfies a predefined condition.
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7. The voice recognition method as claimed in claim 6 , wherein the second parsing step includes a calculation step of calculating a word score based on features of the words contained in the text converted by the voice recognition step, and identifies the second control candidate group by parsing the text with respect to the control objects which are among the predefined types of control objects but not included in the first control candidate group and whose each word score satisfies a predefined condition. 8. The voice recognition method as claimed in claim 7 , wherein the second parsing step calculates an average value of word scores for the words contained in the text and correspond to the control objects respectively, and uses the average value as the predefined condition if the average value is not smaller than a predefined threshold value.
| 0.882972 |
23. A computer storage medium encoded with a computer program comprising instructions that when executed by data processing apparatus cause the data processing apparatus to perform operations comprising: receiving information identifying a plurality of resources that have been identified by a search engine as satisfying a search query; determining that a first resource in the plurality of resources includes a post to a discussion forum; identifying one or more second resources that are each distinct from the first resource, that are each linked directly or indirectly to the first resource, and that each include one or more other posts to the discussion forum, and wherein the second resources include at least one resource that is not in the plurality of resources; extracting information about the discussion forum from the first resource and the one or more second resources including the at least one resource that is not in the plurality of resources; and providing the extracted information about the discussion forum together with a link to the first resource to a user device for display to a user as part of a response to the search query.
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23. A computer storage medium encoded with a computer program comprising instructions that when executed by data processing apparatus cause the data processing apparatus to perform operations comprising: receiving information identifying a plurality of resources that have been identified by a search engine as satisfying a search query; determining that a first resource in the plurality of resources includes a post to a discussion forum; identifying one or more second resources that are each distinct from the first resource, that are each linked directly or indirectly to the first resource, and that each include one or more other posts to the discussion forum, and wherein the second resources include at least one resource that is not in the plurality of resources; extracting information about the discussion forum from the first resource and the one or more second resources including the at least one resource that is not in the plurality of resources; and providing the extracted information about the discussion forum together with a link to the first resource to a user device for display to a user as part of a response to the search query. 27. The storage medium of claim 23 , wherein each second resource linked directly or indirectly to the first resource is linked by one or more outlinks beginning in the first resource and ending in the second resource.
| 0.630313 |
13. An apparatus for entropy coding of video data, the apparatus comprising: a memory configured to store a plurality of contexts used in a context-adaptive entropy binary arithmetic (CABAC) process; and one or more processors configured to: determine a window size of a plurality of window sizes for a first context of the plurality of contexts; CABAC code, based on a probability state of the first context, a bin of a value for a first syntax element of the video data; update the probability state of the first context based on the window size for the first context the coded bin of the value for the first syntax element; determine a window size of the plurality of window sizes for a second context of the plurality of contexts, wherein the window size for the second context is different than the window size for the first context, and wherein the window size for the second context is not used to update the probability state of the first context; CABAC code, based on a probability state of the second context, a bin of a value for a second syntax element of the video data; and update the probability state of the second context based on the window size for the second context and the coded bin for the second syntax element.
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13. An apparatus for entropy coding of video data, the apparatus comprising: a memory configured to store a plurality of contexts used in a context-adaptive entropy binary arithmetic (CABAC) process; and one or more processors configured to: determine a window size of a plurality of window sizes for a first context of the plurality of contexts; CABAC code, based on a probability state of the first context, a bin of a value for a first syntax element of the video data; update the probability state of the first context based on the window size for the first context the coded bin of the value for the first syntax element; determine a window size of the plurality of window sizes for a second context of the plurality of contexts, wherein the window size for the second context is different than the window size for the first context, and wherein the window size for the second context is not used to update the probability state of the first context; CABAC code, based on a probability state of the second context, a bin of a value for a second syntax element of the video data; and update the probability state of the second context based on the window size for the second context and the coded bin for the second syntax element. 24. The apparatus of claim 13 , wherein the apparatus comprises at least one of: an integrated circuit; a microprocessor; or a wireless communication device.
| 0.538793 |
8. The method of claim 1 , wherein the transport attribute comprises a quality of service attribute that identifies a rate of change for the payload data.
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8. The method of claim 1 , wherein the transport attribute comprises a quality of service attribute that identifies a rate of change for the payload data. 17. The method of claim 8 , wherein the rate of change for the payload data is categorized as at least one of tick-by-tick, time conflated, and just-in-time conflated.
| 0.958222 |
1. A computer-implemented method for automatically determining a visual appeal of online content, the method implemented using a visual appeal determination computing device coupled to a user interface and a memory device, the method comprising: storing, by the visual appeal determination computing device, a plurality of software implemented algorithms in the memory device, each algorithm comprising one or more rules representing expert knowledge for subject matter of online content items, the rules are capable of recognizing graphic content parameters, recognizing textual content parameters, and relating the graphic content parameters and the textual content parameters to a set of desired parameters accessible to the rules based on the expert knowledge, the parameters relating to the appearance of the graphic content and the textual content, each algorithm pertains to a different aspect of online content; receiving, by the visual appeal determination computing device, one or more generated items of online content from a content provider computing device; determining, by the visual appeal determination computing device, graphic content parameters and textual content parameters of the received items of online content by parsing the online content using the plurality of algorithms according to the different rules included in each algorithm, determining the graphic content parameters and textual content parameters include determining a relative size of a font with respect to other textual content, a location of the textual content within the content item, a location of breaks used in text wrapping in the textual content, a relative alignment of the textual content, a readability of the textual content based on font colors and background colors, and an orientation of graphic objects within the content item; comparing, by the visual appeal determination computing device, the determined parameters to the set of desired parameters by determining whether each aspect meets a respective predefined threshold value; ranking, by the visual appeal determination computing device, the items of online content based on the comparisons; and providing guidance for improving a quality of the items of online content by outputting, by the visual appeal determination computing device, the ranked items of online content to the content provider computing device.
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1. A computer-implemented method for automatically determining a visual appeal of online content, the method implemented using a visual appeal determination computing device coupled to a user interface and a memory device, the method comprising: storing, by the visual appeal determination computing device, a plurality of software implemented algorithms in the memory device, each algorithm comprising one or more rules representing expert knowledge for subject matter of online content items, the rules are capable of recognizing graphic content parameters, recognizing textual content parameters, and relating the graphic content parameters and the textual content parameters to a set of desired parameters accessible to the rules based on the expert knowledge, the parameters relating to the appearance of the graphic content and the textual content, each algorithm pertains to a different aspect of online content; receiving, by the visual appeal determination computing device, one or more generated items of online content from a content provider computing device; determining, by the visual appeal determination computing device, graphic content parameters and textual content parameters of the received items of online content by parsing the online content using the plurality of algorithms according to the different rules included in each algorithm, determining the graphic content parameters and textual content parameters include determining a relative size of a font with respect to other textual content, a location of the textual content within the content item, a location of breaks used in text wrapping in the textual content, a relative alignment of the textual content, a readability of the textual content based on font colors and background colors, and an orientation of graphic objects within the content item; comparing, by the visual appeal determination computing device, the determined parameters to the set of desired parameters by determining whether each aspect meets a respective predefined threshold value; ranking, by the visual appeal determination computing device, the items of online content based on the comparisons; and providing guidance for improving a quality of the items of online content by outputting, by the visual appeal determination computing device, the ranked items of online content to the content provider computing device. 4. The method of claim 1 , wherein comparing the determined parameters to the set of desired parameters comprises comparing the determined parameters to the set of desired parameters that include a first definition of acceptable combinations of parameters and a second definition of incompatible combinations of parameters.
| 0.596939 |
1. A method of selecting an object out of a group of objects belonging to a category, the method comprising: receiving object-related information indicative of properties of objects of the category by using network connected databases; generating an extended profile for at least one of the objects based on the received object-related information and object-specific information indicative of properties of the at least one of the objects, such that the extended profile comprises the object-specific information as well as object-related information that is related to the object-specific information, wherein the generating the extended profile comprises using at least one out of the group consisting of a predefined dictionary, a predefined ontology, predefined system rules, and a predefined regular expression, and wherein the generating the extended profile comprises building clusters of features of the object-specific information and elements of the object-related information, the clusters being specific to the object; providing a user interface adapted for receiving natural language input; determining a data structure of weighted keywords based on the natural language input using at least one out of the group consisting of the predefined dictionary, the predefined ontology, predefined system rules, and a predefined regular expression; and selecting the object out of the group of objects based on a mapping of the extended profile and the data structure of weighted keywords resulting in a preference fit score for the selected object, wherein the mapping comprises using at least one out of the group consisting of an N-Gram distance function between data elements of the extended profile and data elements of the data structure of weighted keywords, thresholds specified in the extended profile, and weights of rules, and wherein the preference fit score is determined based on a combination of: a keyword factor related to the extended profile, a preference factor determined by a quadratic mean of weighted keywords, and a numeric preference factor defined through the user interface or a system of rules, wherein the numeric preference factor is calculated using a formula comprising: ( r i - a p , i - c i ) max { 1 , v i } ( r i - s i ) max { 1 , v i } .
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1. A method of selecting an object out of a group of objects belonging to a category, the method comprising: receiving object-related information indicative of properties of objects of the category by using network connected databases; generating an extended profile for at least one of the objects based on the received object-related information and object-specific information indicative of properties of the at least one of the objects, such that the extended profile comprises the object-specific information as well as object-related information that is related to the object-specific information, wherein the generating the extended profile comprises using at least one out of the group consisting of a predefined dictionary, a predefined ontology, predefined system rules, and a predefined regular expression, and wherein the generating the extended profile comprises building clusters of features of the object-specific information and elements of the object-related information, the clusters being specific to the object; providing a user interface adapted for receiving natural language input; determining a data structure of weighted keywords based on the natural language input using at least one out of the group consisting of the predefined dictionary, the predefined ontology, predefined system rules, and a predefined regular expression; and selecting the object out of the group of objects based on a mapping of the extended profile and the data structure of weighted keywords resulting in a preference fit score for the selected object, wherein the mapping comprises using at least one out of the group consisting of an N-Gram distance function between data elements of the extended profile and data elements of the data structure of weighted keywords, thresholds specified in the extended profile, and weights of rules, and wherein the preference fit score is determined based on a combination of: a keyword factor related to the extended profile, a preference factor determined by a quadratic mean of weighted keywords, and a numeric preference factor defined through the user interface or a system of rules, wherein the numeric preference factor is calculated using a formula comprising: ( r i - a p , i - c i ) max { 1 , v i } ( r i - s i ) max { 1 , v i } . 3. The method according to claim 1 , wherein a weighting of at least one of the weighted keywords is modifiable using the user interface.
| 0.511253 |
1. A computer-implemented method comprising: receiving data about a competitive gaming event, the data comprising one or more data items; selecting, by a processor, a beat writer from a plurality of beat writers stored in a data store, wherein each of the plurality of beat writers represents a respective one of a plurality of different computerized authors, each configured for respectively different writing styles; selecting, by the processor, a story type from a plurality of story types based on the selected beat writer; selecting, by the processor, a story flavor from the one or more story flavors associated with the story type; selecting, by the processor, a narrative template for the competitive gaming event according to the data and story type, the narrative template comprising at least one paragraph from the set of paragraph types associated with the selected template story flavor, the at least one paragraph having one or more sentences, and one or more empty word slots within the one or more sentences, and one or more empty data slots within the one or more sentences; selecting, by the processor, for each of the one or more empty word slots, a word list configured for the word slot according to the selected beat writer; filling, by the processor, each of the one or more empty data slots in the narrative template with a data item from the one or more data items; filling, by the processor, each of the one or more empty word slots in the narrative template with a word selected from the selected word list configured for the word slot based on the competitive gaming data; and publishing, by the processor, the narrative template with the one or more empty word slots and the one or more empty data slots filled as a narrative summary of competitive gaming narrative content.
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1. A computer-implemented method comprising: receiving data about a competitive gaming event, the data comprising one or more data items; selecting, by a processor, a beat writer from a plurality of beat writers stored in a data store, wherein each of the plurality of beat writers represents a respective one of a plurality of different computerized authors, each configured for respectively different writing styles; selecting, by the processor, a story type from a plurality of story types based on the selected beat writer; selecting, by the processor, a story flavor from the one or more story flavors associated with the story type; selecting, by the processor, a narrative template for the competitive gaming event according to the data and story type, the narrative template comprising at least one paragraph from the set of paragraph types associated with the selected template story flavor, the at least one paragraph having one or more sentences, and one or more empty word slots within the one or more sentences, and one or more empty data slots within the one or more sentences; selecting, by the processor, for each of the one or more empty word slots, a word list configured for the word slot according to the selected beat writer; filling, by the processor, each of the one or more empty data slots in the narrative template with a data item from the one or more data items; filling, by the processor, each of the one or more empty word slots in the narrative template with a word selected from the selected word list configured for the word slot based on the competitive gaming data; and publishing, by the processor, the narrative template with the one or more empty word slots and the one or more empty data slots filled as a narrative summary of competitive gaming narrative content. 7. The method of claim 1 , wherein the data comprises at least one of: a competition name; a league name; a competitor name; a team name; a date of the event; a time of the event; a competition result; a prize money value; a score; a video game level; a video game title; and a video game character.
| 0.569005 |
6. An information retrieval system as claimed in claim 5 wherein the click model is arranged to take as input document specific features.
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6. An information retrieval system as claimed in claim 5 wherein the click model is arranged to take as input document specific features. 7. An information retrieval system as claimed in claim 6 wherein the click model is also arranged to take as input query related identifiers.
| 0.932122 |
14. An apparatus according to claim 2 , wherein said processing module is a dedicated sub-topic identification server.
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14. An apparatus according to claim 2 , wherein said processing module is a dedicated sub-topic identification server. 18. An apparatus according to claim 14 , wherein said client module is configured to send said search and said sub-topic identification query to said dedicated sub-topic identification server over a transmission medium.
| 0.915323 |
14. The computer-implemented method of claim 13 , wherein user communication in the online environment is facilitated by managing interactions between users of different user classifications; wherein each of the plurality of users is assigned a respective one of the plurality of distinct user classifications, wherein each user classification is selected from a plurality of distinct user classifications.
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14. The computer-implemented method of claim 13 , wherein user communication in the online environment is facilitated by managing interactions between users of different user classifications; wherein each of the plurality of users is assigned a respective one of the plurality of distinct user classifications, wherein each user classification is selected from a plurality of distinct user classifications. 15. The computer-implemented method of claim 14 , wherein each user is assigned no more than one user classification, wherein sending the first expression to the second user comprises: upon determining that the first and second users have a matching user classification, transmitting the first expression to the second user without modifying the first expression.
| 0.871739 |
1. A method for updating engine logic, comprising: forming engine logic at a service, wherein the engine logic is expressed in a description language; and providing the engine logic to a user device, wherein the engine logic governs a manner of operation of an engine module used by the user device.
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1. A method for updating engine logic, comprising: forming engine logic at a service, wherein the engine logic is expressed in a description language; and providing the engine logic to a user device, wherein the engine logic governs a manner of operation of an engine module used by the user device. 12. One or more machine-readable media containing machine-readable instructions for implementing the method of claim 1 .
| 0.790741 |
1. A method to select features for ranking for information retrieval, implemented by a computing device, the method comprising: selecting the features iteratively; computing importance scores for the features, wherein the importance scores include ranking performances; measuring similarity scores between two features based on the ranking performances, wherein the similarity scores are based on a correlation between ranking results of the two features; and selecting the features that maximize a sum of the importance scores of individual features and that minimize a sum of the similarity scores between the selected features, wherein the features that are selected have a largest cumulative importance score and a least mutual similarity score; wherein the features selected for ranking are modeled as an optimization problem, the optimization problem includes: constructing an undirected graph and using a node to represent a feature; representing a weight of the node and a weight of an edge between two nodes; and constructing a set to contain the selected features.
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1. A method to select features for ranking for information retrieval, implemented by a computing device, the method comprising: selecting the features iteratively; computing importance scores for the features, wherein the importance scores include ranking performances; measuring similarity scores between two features based on the ranking performances, wherein the similarity scores are based on a correlation between ranking results of the two features; and selecting the features that maximize a sum of the importance scores of individual features and that minimize a sum of the similarity scores between the selected features, wherein the features that are selected have a largest cumulative importance score and a least mutual similarity score; wherein the features selected for ranking are modeled as an optimization problem, the optimization problem includes: constructing an undirected graph and using a node to represent a feature; representing a weight of the node and a weight of an edge between two nodes; and constructing a set to contain the selected features. 6. The method of claim 1 , further comprising solving the optimization problem by using a greedy algorithm.
| 0.707403 |
1. A method comprising: accessing, by a user device, data defining a document maintained at an online document processing service; identifying a plurality of elements within the document, the plurality of elements including a first paragraph and a second paragraph; generating a hierarchy of objects associated with the plurality of elements, the hierarchy of objects comprising a plurality of objects including a parent object, wherein generating a hierarchy of objects comprises: generating, for each of the plurality of elements, a respective object comprising a layout function and a render function, including a first object corresponding to the first paragraph and a second object corresponding to the second paragraph, the first object being different from the second object, wherein each of the first and second objects comprises: a programming class comprising one or more properties that define a first alphanumeric character of the corresponding paragraph and a last alphanumeric character of the corresponding paragraph; a layout function defining one or more calculations for determining a location of one or more lines in the corresponding paragraph and whether the corresponding paragraph can fit into an available page height; and a render function adapted to modify a HyperText Markup Language (“HTML”) of a webpage based on layout data associated with the corresponding paragraph; and generating a parent object adapted to determine a location of the document, determine an object corresponding to a particular one of the plurality of elements that is associated with the location, and invoke the determined object to lay out and render the particular one of the plurality of elements; determining, by the parent object, a selected location within the document; in response to determining the selected location: determining that the first paragraph and the second paragraph are associated with the selected location; invoking, by the parent object, the first object to generate first layout data associated with the first paragraph; invoking, by the parent object, the second object to generate second layout data associated with the second paragraph; rendering, by the first object, the first paragraph based on the first layout data; and rendering, by the second object, the second paragraph based on the second layout data.
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1. A method comprising: accessing, by a user device, data defining a document maintained at an online document processing service; identifying a plurality of elements within the document, the plurality of elements including a first paragraph and a second paragraph; generating a hierarchy of objects associated with the plurality of elements, the hierarchy of objects comprising a plurality of objects including a parent object, wherein generating a hierarchy of objects comprises: generating, for each of the plurality of elements, a respective object comprising a layout function and a render function, including a first object corresponding to the first paragraph and a second object corresponding to the second paragraph, the first object being different from the second object, wherein each of the first and second objects comprises: a programming class comprising one or more properties that define a first alphanumeric character of the corresponding paragraph and a last alphanumeric character of the corresponding paragraph; a layout function defining one or more calculations for determining a location of one or more lines in the corresponding paragraph and whether the corresponding paragraph can fit into an available page height; and a render function adapted to modify a HyperText Markup Language (“HTML”) of a webpage based on layout data associated with the corresponding paragraph; and generating a parent object adapted to determine a location of the document, determine an object corresponding to a particular one of the plurality of elements that is associated with the location, and invoke the determined object to lay out and render the particular one of the plurality of elements; determining, by the parent object, a selected location within the document; in response to determining the selected location: determining that the first paragraph and the second paragraph are associated with the selected location; invoking, by the parent object, the first object to generate first layout data associated with the first paragraph; invoking, by the parent object, the second object to generate second layout data associated with the second paragraph; rendering, by the first object, the first paragraph based on the first layout data; and rendering, by the second object, the second paragraph based on the second layout data. 6. The method of claim 1 , wherein a one-to-one relationship exists between each element among the plurality of elements, and the corresponding object.
| 0.564128 |
21. The method according to claim 1 , wherein a template is provided which allows a user to enter one or more potential implementers of the employee suggestion.
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21. The method according to claim 1 , wherein a template is provided which allows a user to enter one or more potential implementers of the employee suggestion. 22. The method according to claim 21 , wherein determining the network routing is dependent in part upon the one or more potential implementers selected.
| 0.931489 |
9. A computer program product comprising a non-transitory computer readable storage medium having instructions encoded thereon that, when executed by a processor, cause the processor to perform steps including: receiving, at a social networking system from a user via a client device, metadata associated with a target object maintained by the social networking system; determining an amount of metadata previously received from the user and associated with one or more stored objects maintained by the social networking system; retrieving characteristics of the user derived from information stored by the social networking system if the amount of metadata previously received from the user is less than a threshold amount of metadata; identifying additional users of the social networking system having respective confidence values of at least a threshold confidence value, wherein the respective confidence values represent measures of accuracy of metadata provided by the respective additional users in association with the one or more objects maintained by the social networking system; comparing the characteristics of the user to characteristics of the identified additional users; calculating a confidence value associated with the user based on a similarity between the characteristics of the user and the characteristics of the identified additional users; and storing the metadata in association with the object if the confidence value associated with the user exceeds the threshold confidence value.
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9. A computer program product comprising a non-transitory computer readable storage medium having instructions encoded thereon that, when executed by a processor, cause the processor to perform steps including: receiving, at a social networking system from a user via a client device, metadata associated with a target object maintained by the social networking system; determining an amount of metadata previously received from the user and associated with one or more stored objects maintained by the social networking system; retrieving characteristics of the user derived from information stored by the social networking system if the amount of metadata previously received from the user is less than a threshold amount of metadata; identifying additional users of the social networking system having respective confidence values of at least a threshold confidence value, wherein the respective confidence values represent measures of accuracy of metadata provided by the respective additional users in association with the one or more objects maintained by the social networking system; comparing the characteristics of the user to characteristics of the identified additional users; calculating a confidence value associated with the user based on a similarity between the characteristics of the user and the characteristics of the identified additional users; and storing the metadata in association with the object if the confidence value associated with the user exceeds the threshold confidence value. 15. The computer program product of claim 9 , wherein the non-transitory computer-readable storage medium further includes instructions encoded thereon that when executed by the processor cause the processor to perform steps including: receiving additional metadata for association with one or more objects from the user; and presenting the additional metadata to one or more additional users; and increasing the confidence value associated with the user if one or more of the additional users verify the additional metadata received from the user.
| 0.542046 |
1. A computer-implemented method, comprising: receiving a user search topic; concurrently presenting, on a display of a computing device, a collage template and search results for the user search topic, wherein the collage template comprises a grid of rectangles comprising a collage; automatically populating a first user-selected search result in a portion of the rectangles of the grid, a number and a relative positioning of the rectangles of the portion being based at least in part on a first aspect ratio of the first user-selected search result; subsequent to the automatically populating the first user-selected search result, automatically populating a second user-selected search result in the grid by repositioning the first user-selected search result based at least on a second aspect ratio of the second user-selected search result; and, automatically populating additional user-selected search results into unpopulated rectangles of the grid.
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1. A computer-implemented method, comprising: receiving a user search topic; concurrently presenting, on a display of a computing device, a collage template and search results for the user search topic, wherein the collage template comprises a grid of rectangles comprising a collage; automatically populating a first user-selected search result in a portion of the rectangles of the grid, a number and a relative positioning of the rectangles of the portion being based at least in part on a first aspect ratio of the first user-selected search result; subsequent to the automatically populating the first user-selected search result, automatically populating a second user-selected search result in the grid by repositioning the first user-selected search result based at least on a second aspect ratio of the second user-selected search result; and, automatically populating additional user-selected search results into unpopulated rectangles of the grid. 5. The computer-implemented method of claim 1 , further comprising increasing a number of the rectangles of the grid in response to a further user-selected search result.
| 0.630586 |
1. A method of generating a query, the method comprising: receiving a representation of a first query item, the first query item being a data structure belonging to a data set and having at least one attribute; receiving a representation of a second query item, the second query item being an anchor query item type of data structure defined as relating to at least one particular attribute of another query item; receiving an indication of a user selectively positioning one of a user interface (UI) element representation of the first query item and a user interface (UI) element representation of the second query item in proximate location to the representation of the other UI element representation of the first query item and the second query item in a visio-spatial user interface, the visio-spatial user interface including a display of both the UI element representation of the first query item and the UI element representation of the second query item; associating, by a processor, the second query item with the first query item; automatically retrieving, in response to the second query item being associated with the first query item, a value for the at least one particular attribute of the second query item defined as relating to another query item from the first query item; generating, by the processor, query search terms including a combination of the retrieved value and the second query item; and saving a record of the query search terms.
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1. A method of generating a query, the method comprising: receiving a representation of a first query item, the first query item being a data structure belonging to a data set and having at least one attribute; receiving a representation of a second query item, the second query item being an anchor query item type of data structure defined as relating to at least one particular attribute of another query item; receiving an indication of a user selectively positioning one of a user interface (UI) element representation of the first query item and a user interface (UI) element representation of the second query item in proximate location to the representation of the other UI element representation of the first query item and the second query item in a visio-spatial user interface, the visio-spatial user interface including a display of both the UI element representation of the first query item and the UI element representation of the second query item; associating, by a processor, the second query item with the first query item; automatically retrieving, in response to the second query item being associated with the first query item, a value for the at least one particular attribute of the second query item defined as relating to another query item from the first query item; generating, by the processor, query search terms including a combination of the retrieved value and the second query item; and saving a record of the query search terms. 6. The method of claim 1 , wherein the second query item comprises a data structure having at least one predefined particular attribute.
| 0.684211 |
1. A method comprising: identifying a first user profile referenced by an action initiated by a first user; determining a similarity score that indicates a degree of similarity between the first user profile and a second user profile that describes a second user; determining a volatility score that indicates a likelihood that the second user is receptive to a proposal that the second user be employed by a potential employer, the volatility score being determined based on a current date on which the volatility score is determined being within a predetermined time span before an annual employment anniversary date of the second user in working for a current employer specified by the second user profile that describes a second user; determining a rank of the second user profile based on the similarity score and on the volatility score, the determining of the rank being performed by a processor of a machine and based on an elapsed time since the first user initiated the action that references the first user profile; and presenting the second user profile to the first user based on the rank.
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1. A method comprising: identifying a first user profile referenced by an action initiated by a first user; determining a similarity score that indicates a degree of similarity between the first user profile and a second user profile that describes a second user; determining a volatility score that indicates a likelihood that the second user is receptive to a proposal that the second user be employed by a potential employer, the volatility score being determined based on a current date on which the volatility score is determined being within a predetermined time span before an annual employment anniversary date of the second user in working for a current employer specified by the second user profile that describes a second user; determining a rank of the second user profile based on the similarity score and on the volatility score, the determining of the rank being performed by a processor of a machine and based on an elapsed time since the first user initiated the action that references the first user profile; and presenting the second user profile to the first user based on the rank. 5. The method of claim 1 , wherein: the action initiated by the first user includes requesting the first user profile; and the identifying of the first user profile includes detecting that the first user requested the first user profile.
| 0.633693 |
5. The computing device according to claim 1 , wherein the output unit provides various kinds of user interface to a client connected through a network, and the user interface is an environment where a user inputs a query through various routes, and includes one of a first user interface where a query is input in sentence units, a second user interface where retrieved documents are used as a query, and a third user interface where a query is input by attaching or uploading a text file.
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5. The computing device according to claim 1 , wherein the output unit provides various kinds of user interface to a client connected through a network, and the user interface is an environment where a user inputs a query through various routes, and includes one of a first user interface where a query is input in sentence units, a second user interface where retrieved documents are used as a query, and a third user interface where a query is input by attaching or uploading a text file. 6. The computing device according to claim 5 , wherein, when a user attaches or uploads a predetermined file using the third user interface, the query input unit monitors a format of the attached or uploaded file to receive only a file of a specific formatthat is morphologically analyzable.
| 0.911837 |
1. One or more non-transitory, tangible computer-readable media having computer-executable instructions for performing a method by running a software program on a computer, the computer operating under an operating system, the method including issuing instructions from the software program to extract semantic bio-entity relationships or patterns from non-annotated data by natural language processing and graph theoretic algorithm, the instructions comprising: receiving a plurality of known bio-entity strings and a plurality of interaction word strings; receiving annotated text as training data that contains true and false patterns; automatically building a decision support tool based on said true and false patterns to which said non-annotated data can be parsed, said decision support tool including at least a first level and a second level, said first level having a first decision node, said second level having a second decision node, said first and second decision nodes each associated with at least a portion of said true and false patterns; receiving said non-annotated data; extracting a textual clause of said non-annotated data that contains non-triplet word strings and at least one triplet, said at least one triplet including a first bio-entity, a second bio-entity, and an interaction word, wherein said interaction word indicates a possible relationship between said first bio-entity and said second bio-entity; automatically parsing said extracted textual clause through said decision support tool to obtain a plurality of components based on dependencies among said plurality of components; extracting said at least one triplet from said plurality of components by attempting to match said plurality of components of said parsed, extracted textual clause to said first level of said decision support tool; identifying extraction of said at least one triplet as true if said plurality of components matches said first level of said decision support tool; identifying extraction of said at least one triplet as false if said plurality of components fails to match said first level of said decision support tool; as a result of said plurality of components failing to match said first level of said decision support tool, extracting said at least one triplet from said plurality of components by attempting to match said plurality of components to said second level of said decision support tool; identifying extraction of said at least one triplet as true if said plurality of components matches said second level of said decision support tool, said second level of said decision support tool being a simplified pattern of said first level of said decision support tool to capture textual clauses that are not identical to said extracted textual clause; and identifying extraction of said at least one triplet as false if said plurality of components fails to match said second level of said decision support tool.
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1. One or more non-transitory, tangible computer-readable media having computer-executable instructions for performing a method by running a software program on a computer, the computer operating under an operating system, the method including issuing instructions from the software program to extract semantic bio-entity relationships or patterns from non-annotated data by natural language processing and graph theoretic algorithm, the instructions comprising: receiving a plurality of known bio-entity strings and a plurality of interaction word strings; receiving annotated text as training data that contains true and false patterns; automatically building a decision support tool based on said true and false patterns to which said non-annotated data can be parsed, said decision support tool including at least a first level and a second level, said first level having a first decision node, said second level having a second decision node, said first and second decision nodes each associated with at least a portion of said true and false patterns; receiving said non-annotated data; extracting a textual clause of said non-annotated data that contains non-triplet word strings and at least one triplet, said at least one triplet including a first bio-entity, a second bio-entity, and an interaction word, wherein said interaction word indicates a possible relationship between said first bio-entity and said second bio-entity; automatically parsing said extracted textual clause through said decision support tool to obtain a plurality of components based on dependencies among said plurality of components; extracting said at least one triplet from said plurality of components by attempting to match said plurality of components of said parsed, extracted textual clause to said first level of said decision support tool; identifying extraction of said at least one triplet as true if said plurality of components matches said first level of said decision support tool; identifying extraction of said at least one triplet as false if said plurality of components fails to match said first level of said decision support tool; as a result of said plurality of components failing to match said first level of said decision support tool, extracting said at least one triplet from said plurality of components by attempting to match said plurality of components to said second level of said decision support tool; identifying extraction of said at least one triplet as true if said plurality of components matches said second level of said decision support tool, said second level of said decision support tool being a simplified pattern of said first level of said decision support tool to capture textual clauses that are not identical to said extracted textual clause; and identifying extraction of said at least one triplet as false if said plurality of components fails to match said second level of said decision support tool. 3. One or more non-transitory,tangible computer-readable media as in claim 1 , further comprising instructions for: receiving a structured form format corresponding to said plurality of known bio-entity strings; and storing said at least one extracted triplet in said structured form format as a result of a classification of said at least one extracted triplet being true, said storing facilitating retrieval of said at least one extracted, true triplet.
| 0.652222 |
1. A secure wireless data communications device for transmitting plain text in an encrypted message comprising cipher text and an initialization vector, the secure wireless communications device having associated therewith a media access controller (MAC) layer, the device comprising: a seed generator operable to perform a hashing algorithm to generate a seed using a secret key, a device address, and a changing reference value, the changing reference value comprising a MAC layer sequence number; a random initialization vector (IV) generator for generating a random IV; a key encrypter for generating a key sequence based upon the seed and the random IV; a logic circuit generating cipher text based upon the key sequence and plain text; and a wireless communications device connected to said logic circuit and said random IV generator for wirelessly transmitting the encrypted message comprising the cipher text and random IV.
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1. A secure wireless data communications device for transmitting plain text in an encrypted message comprising cipher text and an initialization vector, the secure wireless communications device having associated therewith a media access controller (MAC) layer, the device comprising: a seed generator operable to perform a hashing algorithm to generate a seed using a secret key, a device address, and a changing reference value, the changing reference value comprising a MAC layer sequence number; a random initialization vector (IV) generator for generating a random IV; a key encrypter for generating a key sequence based upon the seed and the random IV; a logic circuit generating cipher text based upon the key sequence and plain text; and a wireless communications device connected to said logic circuit and said random IV generator for wirelessly transmitting the encrypted message comprising the cipher text and random IV. 5. The device of claim 1 wherein the key sequence comprises a plurality of bytes; and wherein said key encrypter deletes at least one byte from the key sequence prior to generation of the cipher text by said logic circuit.
| 0.5 |
21. The automated routing system of claim 20 , wherein the meaningful phrases are expressed in multimodal form.
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21. The automated routing system of claim 20 , wherein the meaningful phrases are expressed in multimodal form. 22. The automated routing system of claim 21 , wherein the multimodal form includes inputs from at least one channel.
| 0.9688 |
11. The system of claim 9 , wherein parsing the XML document into the plurality of constituent nodes includes allocating an attribute value dictionary that stores unique occurrences of attribute values included in the XML document, or a text value dictionary that stores unique occurrences of text values included in the XML document.
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11. The system of claim 9 , wherein parsing the XML document into the plurality of constituent nodes includes allocating an attribute value dictionary that stores unique occurrences of attribute values included in the XML document, or a text value dictionary that stores unique occurrences of text values included in the XML document. 12. The system of claim 11 , wherein the processing resources, in response to the atomic updates being completed, are further configured to repeat, until a determination is made that the stack is empty: popping from the stack the uppermost partition table list; copying identifiers for any partitions in the current partition table list that have associated commit levels that match the current commit level into the candidate partition table list; replacing the current partition table list with the candidate list; and decrementing the current commit level.
| 0.886252 |
1. A method comprising: in a closed-caption processor disposed in a broadcast communication system, and communicatively coupled via the broadcast communication system to a plurality of client devices: receiving a set of external sources; determining terms extracted from each of the set of external sources; storing the terms for each of the set of external sources for use when the external source is selected; and automatically determining a segment of closed-caption text from closed-captions provided in video content available for viewing at the client devices by users; in the closed-caption processor, automatically selecting an external source from the set of external sources, the selecting based on a first set of information comprising a first set of terms extracted from the segment of closed-caption text, the external source including text not included in the segment of closed-caption text; in the closed-caption processor, generating a second set of information comprising a second set of terms extracted from the external source; in the closed-caption processor, determining supplemental content, the determining based on a result of a search using the second set of information; and via the broadcast communication system, outputting the supplemental content, from the closed-caption processor to a client device associated with a user, as being relevant to the segment of closed-caption text, the outputting based on the user viewing the segment of closed-caption text; wherein the supplemental content is outputted to the user while the video content corresponding to the segment of closed-caption text is being delivered to the user.
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1. A method comprising: in a closed-caption processor disposed in a broadcast communication system, and communicatively coupled via the broadcast communication system to a plurality of client devices: receiving a set of external sources; determining terms extracted from each of the set of external sources; storing the terms for each of the set of external sources for use when the external source is selected; and automatically determining a segment of closed-caption text from closed-captions provided in video content available for viewing at the client devices by users; in the closed-caption processor, automatically selecting an external source from the set of external sources, the selecting based on a first set of information comprising a first set of terms extracted from the segment of closed-caption text, the external source including text not included in the segment of closed-caption text; in the closed-caption processor, generating a second set of information comprising a second set of terms extracted from the external source; in the closed-caption processor, determining supplemental content, the determining based on a result of a search using the second set of information; and via the broadcast communication system, outputting the supplemental content, from the closed-caption processor to a client device associated with a user, as being relevant to the segment of closed-caption text, the outputting based on the user viewing the segment of closed-caption text; wherein the supplemental content is outputted to the user while the video content corresponding to the segment of closed-caption text is being delivered to the user. 11. The method of claim 1 , wherein determining the supplemental content comprises: submitting the second set of information to a search engine to determine search results, wherein at least a portion of the search results are output as the supplemental content.
| 0.541778 |
1. A method for properly displaying paragraphs of text that use a foreign paragraph delimiter, the foreign paragraph delimiter being different than a native paragraph delimiter of documents created on a word processing system, said method comprising the steps of: (a) producing a character position array in which each character of a document that is open on the word processing system is assigned a position, said character position array being divided into a plurality of pieces, each piece comprising a string of characters that are stored adjacent to one another in a file and which have identical format properties; (b) producing an array of data records including entries that correspond to each piece of the character position array, each entry including a file number and a file position within a file at which the string of characters comprising the piece are stored; (c) producing a file control block for each file storing text used in the document when the file is initially opened by the word processing system; (d) inserting delimiter identification data in the file control block of each file, said delimiter identification data indicating a type of paragraph delimiter used by the text stored in the file; (e) each time that a character of the document is displayed, referring to the character position array and to the array of data records to determine a specific file in which the character is stored, the delimiter identification data in the file control block for said specific file indicating the type of paragraph delimiter that is used for a paragraph containing the character; and (f) if the paragraph containing the character uses a foreign paragraph delimiter, translating the foreign paragraph delimiter to the native paragraph delimiter in a display buffer, so that the paragraph containing the character is properly displayed to the user.
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1. A method for properly displaying paragraphs of text that use a foreign paragraph delimiter, the foreign paragraph delimiter being different than a native paragraph delimiter of documents created on a word processing system, said method comprising the steps of: (a) producing a character position array in which each character of a document that is open on the word processing system is assigned a position, said character position array being divided into a plurality of pieces, each piece comprising a string of characters that are stored adjacent to one another in a file and which have identical format properties; (b) producing an array of data records including entries that correspond to each piece of the character position array, each entry including a file number and a file position within a file at which the string of characters comprising the piece are stored; (c) producing a file control block for each file storing text used in the document when the file is initially opened by the word processing system; (d) inserting delimiter identification data in the file control block of each file, said delimiter identification data indicating a type of paragraph delimiter used by the text stored in the file; (e) each time that a character of the document is displayed, referring to the character position array and to the array of data records to determine a specific file in which the character is stored, the delimiter identification data in the file control block for said specific file indicating the type of paragraph delimiter that is used for a paragraph containing the character; and (f) if the paragraph containing the character uses a foreign paragraph delimiter, translating the foreign paragraph delimiter to the native paragraph delimiter in a display buffer, so that the paragraph containing the character is properly displayed to the user. 3. The method of claim 1, further comprising the step of checking for a header or a trailer to the text in a file opened by the word processing system, said header or trailer at times indicating the type of paragraph delimiter used by the text so that corresponding delimiter identification data are provided in the file control block for said file.
| 0.590386 |
11. A system, comprising: a computer processor; and a memory containing a program, which when executed by the processor is configured to perform an operation for searching a plurality of documents which include references to chemical compounds, wherein the references to chemical compounds express the chemical compounds using a plurality of different formats, the operation comprising: receiving the plurality of documents; receiving criteria specifying desired chemical characteristics; generating at least one regular expression based on the received criteria; evaluating, by operation of the computer processor, chemical compounds referenced in the plurality of documents against the at least one regular expression to identify one or more of the plurality of documents that reference a chemical compound satisfying the received criteria.
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11. A system, comprising: a computer processor; and a memory containing a program, which when executed by the processor is configured to perform an operation for searching a plurality of documents which include references to chemical compounds, wherein the references to chemical compounds express the chemical compounds using a plurality of different formats, the operation comprising: receiving the plurality of documents; receiving criteria specifying desired chemical characteristics; generating at least one regular expression based on the received criteria; evaluating, by operation of the computer processor, chemical compounds referenced in the plurality of documents against the at least one regular expression to identify one or more of the plurality of documents that reference a chemical compound satisfying the received criteria. 15. The system of claim 11 , wherein the desired chemical characteristics specify a plurality of desired chemical elements and, for each of the chemical elements, a desired amount of the respective chemical element.
| 0.741819 |
11. A method of applying interpretation rules to a non-native command on a host instrument, comprising: receiving the non-native command at a host instrument, wherein the non-native command is part of a command set supported by an alternate instrument to trigger the alternate instrument to perform one or more actions upon a device or environment when received; parsing the non-native command into a root command and a set of arguments; applying the interpretation rules to the root command; applying the interpretation rules to the set of arguments, if any arguments are present; and acting upon the device or environment responsive to applying the interpretation rules to the root command and the set of arguments, wherein the host instrument responds to the non-native command by performing the one or more actions upon the device or environment that the alternate instrument performs upon receiving the non-native command.
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11. A method of applying interpretation rules to a non-native command on a host instrument, comprising: receiving the non-native command at a host instrument, wherein the non-native command is part of a command set supported by an alternate instrument to trigger the alternate instrument to perform one or more actions upon a device or environment when received; parsing the non-native command into a root command and a set of arguments; applying the interpretation rules to the root command; applying the interpretation rules to the set of arguments, if any arguments are present; and acting upon the device or environment responsive to applying the interpretation rules to the root command and the set of arguments, wherein the host instrument responds to the non-native command by performing the one or more actions upon the device or environment that the alternate instrument performs upon receiving the non-native command. 14. The method of claim 11 , further comprising: applying the interpretation rules to determine one or more responses that the alternate instrument transmits in response to receiving the non-native command; and transmitting the one or more responses.
| 0.601876 |
8. An apparatus comprising: a processor; a memory that stores code executable by the processor to: parse a secure message into lingual units, wherein each lingual unit is a phoneme; generate a validation nonce from the lingual units; generate at least one transform unit for each lingual unit by applying a lingual message transformation to each lingual unit as an encryption function; select one of the at least one transform unit for each lingual unit using a selection rule; generate an encrypted message from the selected transform units; parse the encrypted message into transform units; generate a decrypted lingual unit for each transform unit by applying the lingual message transformation to each transform unit as a decryption function; regenerate at least one decrypted lingual unit from a selected transform unit with two or more corresponding lingual units with an alternate lingual unit if the validation nonce is not satisfied; in response to identifying a modification phrase in the communication data, generate a modification nonce from the communication data; select a transformation modification in response to the modification nonce and the lingual message transformation; and modify one or more of the lingual message transformation and the selection rule in response to the transformation modification.
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8. An apparatus comprising: a processor; a memory that stores code executable by the processor to: parse a secure message into lingual units, wherein each lingual unit is a phoneme; generate a validation nonce from the lingual units; generate at least one transform unit for each lingual unit by applying a lingual message transformation to each lingual unit as an encryption function; select one of the at least one transform unit for each lingual unit using a selection rule; generate an encrypted message from the selected transform units; parse the encrypted message into transform units; generate a decrypted lingual unit for each transform unit by applying the lingual message transformation to each transform unit as a decryption function; regenerate at least one decrypted lingual unit from a selected transform unit with two or more corresponding lingual units with an alternate lingual unit if the validation nonce is not satisfied; in response to identifying a modification phrase in the communication data, generate a modification nonce from the communication data; select a transformation modification in response to the modification nonce and the lingual message transformation; and modify one or more of the lingual message transformation and the selection rule in response to the transformation modification. 9. The apparatus of claim 8 , the processor further selecting the lingual message transformation and the selection rule as a function of at least one node nonce parsed from communication data exchanged with a node.
| 0.506148 |
28. The computer-readable medium of claim 27 , wherein the method further comprises: displaying in a user interface a visual representation of the one or more mood metrics determined in each of the two or more chat stages for tracking the changes in the one or mood metrics.
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28. The computer-readable medium of claim 27 , wherein the method further comprises: displaying in a user interface a visual representation of the one or more mood metrics determined in each of the two or more chat stages for tracking the changes in the one or mood metrics. 29. The computer-readable medium of claim 28 , wherein the visual representation of the one or mood metrics comprises representation of textual labels, the textual labels comprising a neutral sentiment, a positive sentiment and a negative sentiment.
| 0.945118 |
10. A method of associative relevancy knowledge profiling, comprising: providing at least two known reference sets; selecting at least two of said known reference sets, including at least a first known reference set and a second known reference set; creating, by a machine, at least one association between two of said known reference sets to generate at least part of an associative relevancy knowledge profile, wherein creating said at least one association comprises: receiving a user input wherein the user input represents a user's intention to create an association between said first known reference set and said second known reference set and an association type for the association; and in response to receiving said user input, creating said association with the association type, wherein said association is one of said at least one association; and storing said associative relevancy knowledge profile.
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10. A method of associative relevancy knowledge profiling, comprising: providing at least two known reference sets; selecting at least two of said known reference sets, including at least a first known reference set and a second known reference set; creating, by a machine, at least one association between two of said known reference sets to generate at least part of an associative relevancy knowledge profile, wherein creating said at least one association comprises: receiving a user input wherein the user input represents a user's intention to create an association between said first known reference set and said second known reference set and an association type for the association; and in response to receiving said user input, creating said association with the association type, wherein said association is one of said at least one association; and storing said associative relevancy knowledge profile. 11. The method of claim 10 , further comprising modifying said associative relevancy knowledge profile.
| 0.688786 |
36. The memory device of claim 35 , wherein the set of information pertaining to the received electronic message comprises: (1) an indication of a particular electronic message type for the received electronic message; (2) an indication that the received electronic message was sent by a particular participant in the electronic message conversation; and (3) a particular sequence indicator indicating an order in which the received electronic message was sent by the particular participant relative to other electronic messages of the particular electronic message type sent by the particular participant in the electronic message conversation.
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36. The memory device of claim 35 , wherein the set of information pertaining to the received electronic message comprises: (1) an indication of a particular electronic message type for the received electronic message; (2) an indication that the received electronic message was sent by a particular participant in the electronic message conversation; and (3) a particular sequence indicator indicating an order in which the received electronic message was sent by the particular participant relative to other electronic messages of the particular electronic message type sent by the particular participant in the electronic message conversation. 39. The memory device of claim 36 , wherein determining whether the electronic message conversation data structure is missing information pertaining to the prior electronic message comprises: determining whether the electronic message conversation data structure is missing information pertaining to an electronic message of the particular electronic message type that was sent by the particular participant having a sequence indicator that immediately precedes the particular sequence indicator of the received electronic message.
| 0.772277 |
2. The system of claim 1 , further comprising a solution deployment repository containing entity definitions, runtime executables, and the set of deployment actions used in the automated deployment of the multi-component computer environment.
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2. The system of claim 1 , further comprising a solution deployment repository containing entity definitions, runtime executables, and the set of deployment actions used in the automated deployment of the multi-component computer environment. 4. The system of claim 2 , wherein the orchestration engine: performs a set of pre-deployment validations of component specifications; deploys the components and virtual appliances; integrates the components and virtual appliances; and validates the integration of the components and virtual appliances in the multi-component computer system.
| 0.863781 |
1. A method for distributing a topic notification, comprising: receiving, by a processing device, a first audio stream comprising voice signals generated by a first participant in a voice call speaking with a second participant during a duration of the voice call; detecting, by the processing device, at least one term in the voice signals; determining, by the processing device, at least one topic based on the at least one term; processing the first audio stream to identify an emotion of the first participant; accessing user preference data associated with the first participant, wherein the user reference data precludes to sic notification distribution if at least one particular emotion is identified based on the first audio stream; determining that the emotion is not the at least one particular emotion; distributing the topic notification including the at least one topic and an identification of at least one of the first participant and the second participant to a plurality of destinations in response to determining that the emotion is not the at least one particular emotion; and joining a recipient of the topic notification to the voice call in response to the topic notification.
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1. A method for distributing a topic notification, comprising: receiving, by a processing device, a first audio stream comprising voice signals generated by a first participant in a voice call speaking with a second participant during a duration of the voice call; detecting, by the processing device, at least one term in the voice signals; determining, by the processing device, at least one topic based on the at least one term; processing the first audio stream to identify an emotion of the first participant; accessing user preference data associated with the first participant, wherein the user reference data precludes to sic notification distribution if at least one particular emotion is identified based on the first audio stream; determining that the emotion is not the at least one particular emotion; distributing the topic notification including the at least one topic and an identification of at least one of the first participant and the second participant to a plurality of destinations in response to determining that the emotion is not the at least one particular emotion; and joining a recipient of the topic notification to the voice call in response to the topic notification. 23. The method of claim 1 wherein the plurality of destinations comprises mobile communication devices associated with individuals other than the first participant and the second participant.
| 0.669269 |
1. A course management system configured to evaluate an effectiveness of learning content in an online educational course, said system comprising: a tangible, non-transitory memory communicating with a processor; a learning outcome to be effected through student participation in said course and through exposure to a learning content item, wherein said learning outcome is part of a plurality of learning outcomes, wherein said learning content item is a part of a plurality of learning content items; an electronic learning outcome indicator associated, via learning outcome metadata, with said learning outcome and said learning content item, wherein said electronic learning outcome indicator is created by transforming said plurality of learning outcomes relating to a learning content item into said electronic learning outcome indicator, wherein said learning content item is configured to be displayed to a student; an assessment content item associated with said learning outcome and said learning content item, wherein said assessment content item is part of a plurality of assessment content items, wherein said assessment content item comprises at least one of an assignment, exam, quiz, skill test, journal entry, and a threaded discussion, wherein said exam comprises a plurality of questions and wherein a question in said plurality of questions is associated with said learning outcome; said learning outcome, said learning content item and said assessment content item associated via metadata with student temporal data regarding student activity, wherein said student activity comprises at least one of time spent by student on said learning outcome, time spent by said student on said learning content item, and wherein said student temporal data is tracked automatically by the system; said learning outcome, said learning content item and said assessment content item each associated, via metadata, with instructor temporal data regarding an instructor activity, wherein said instructor activity comprises at least one of amount of time spent preparing said learning content item, amount of time spent grading and amount of time spent facilitating class interactions, and wherein said instructor temporal data is tracked automatically by the system; a performance indicator of said student performance relative to said assessment content item, said performance indicator used to assess said effectiveness of said learning content item relative to said learning outcome, and wherein said performance indicator comprises i) a first aggregate indicator of said effectiveness of said learning content item and ii) a rubric with multiple scores associated with multiple learning outcomes; and a report generating scheme for generating a report that compares performance of instructors, wherein generating said report comprises selection of instructors to be compared and one or more common learning content items.
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1. A course management system configured to evaluate an effectiveness of learning content in an online educational course, said system comprising: a tangible, non-transitory memory communicating with a processor; a learning outcome to be effected through student participation in said course and through exposure to a learning content item, wherein said learning outcome is part of a plurality of learning outcomes, wherein said learning content item is a part of a plurality of learning content items; an electronic learning outcome indicator associated, via learning outcome metadata, with said learning outcome and said learning content item, wherein said electronic learning outcome indicator is created by transforming said plurality of learning outcomes relating to a learning content item into said electronic learning outcome indicator, wherein said learning content item is configured to be displayed to a student; an assessment content item associated with said learning outcome and said learning content item, wherein said assessment content item is part of a plurality of assessment content items, wherein said assessment content item comprises at least one of an assignment, exam, quiz, skill test, journal entry, and a threaded discussion, wherein said exam comprises a plurality of questions and wherein a question in said plurality of questions is associated with said learning outcome; said learning outcome, said learning content item and said assessment content item associated via metadata with student temporal data regarding student activity, wherein said student activity comprises at least one of time spent by student on said learning outcome, time spent by said student on said learning content item, and wherein said student temporal data is tracked automatically by the system; said learning outcome, said learning content item and said assessment content item each associated, via metadata, with instructor temporal data regarding an instructor activity, wherein said instructor activity comprises at least one of amount of time spent preparing said learning content item, amount of time spent grading and amount of time spent facilitating class interactions, and wherein said instructor temporal data is tracked automatically by the system; a performance indicator of said student performance relative to said assessment content item, said performance indicator used to assess said effectiveness of said learning content item relative to said learning outcome, and wherein said performance indicator comprises i) a first aggregate indicator of said effectiveness of said learning content item and ii) a rubric with multiple scores associated with multiple learning outcomes; and a report generating scheme for generating a report that compares performance of instructors, wherein generating said report comprises selection of instructors to be compared and one or more common learning content items. 26. The system of claim 1 , wherein each assessment content item in said plurality of assessment content items are associated with a second content item metric indicating time spent by said student on said assessment content item relative to said learning outcome.
| 0.565551 |
5. A method for dynamically invoking a Web service comprising the steps of: assembling a collection of references to remote implementations of the Web service based upon a common port type; identifying a plurality of ports bound to said remote implementations of the Web service; applying a set of port selection rules to said identified ports to select a particular one of said ports; and, invoking the Web service through said selected port.
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5. A method for dynamically invoking a Web service comprising the steps of: assembling a collection of references to remote implementations of the Web service based upon a common port type; identifying a plurality of ports bound to said remote implementations of the Web service; applying a set of port selection rules to said identified ports to select a particular one of said ports; and, invoking the Web service through said selected port. 6. The method of claim 5 , wherein said identifying step comprises the step of parsing a Web service implementation document for each referenced remote implementation in said collection, said parsing producing a list of ports through which said remote implementations can be invoked.
| 0.668681 |
12. A method for use with a group of patents retrieved from a data warehouse, the group of retrieved patents related to a given seed patent from an originating industry, the method comprising: extracting a set of similar patents from said group of retrieved patents, each of said similar patents associated with said given seed patent using a statistical method; classifying said given seed patent and said set of similar patents by at least one of assignees and industries; generating an industry taxonomy for said given seed patent and said set of similar patents using at least one of a structured feature and an unstructured feature; mapping assignees of said similar patents to related industries using said industry taxonomy; computing the overall similarity between said originating industry and said related industries; and computing patent similarity between said seed patent and patents assigned to said related industries.
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12. A method for use with a group of patents retrieved from a data warehouse, the group of retrieved patents related to a given seed patent from an originating industry, the method comprising: extracting a set of similar patents from said group of retrieved patents, each of said similar patents associated with said given seed patent using a statistical method; classifying said given seed patent and said set of similar patents by at least one of assignees and industries; generating an industry taxonomy for said given seed patent and said set of similar patents using at least one of a structured feature and an unstructured feature; mapping assignees of said similar patents to related industries using said industry taxonomy; computing the overall similarity between said originating industry and said related industries; and computing patent similarity between said seed patent and patents assigned to said related industries. 14. The method of claim 12 further comprising identifying industries having licensing potential by comparing said overall similarity and said patent similarity using said industry classification.
| 0.609105 |
1. A method for deducing meaning from a natural language input comprising the steps of: (a) receiving an ordered string of separate word objects of a selected language, where each of said word objects includes at least one alphanumeric character and is delimited from an adjacent word object, said ordered string having a length equal to the number of said word objects and having a natural language meaning; (b) selecting a word window having a length that is initially at least two and that is no greater than said length of said ordered string; (c) successively moving said word window along said ordered string, analyzing the meaning of the substring of word objects that fall within said word window, and removing said substring from said ordered string if said substring has a recognized meaning, until all substrings of said ordered string that fit within said window have been analyzed; (d) reducing said word window length; and, (e) repeating steps (c) and (d) until only an unrecognized residual of word objects of said ordered string remains.
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1. A method for deducing meaning from a natural language input comprising the steps of: (a) receiving an ordered string of separate word objects of a selected language, where each of said word objects includes at least one alphanumeric character and is delimited from an adjacent word object, said ordered string having a length equal to the number of said word objects and having a natural language meaning; (b) selecting a word window having a length that is initially at least two and that is no greater than said length of said ordered string; (c) successively moving said word window along said ordered string, analyzing the meaning of the substring of word objects that fall within said word window, and removing said substring from said ordered string if said substring has a recognized meaning, until all substrings of said ordered string that fit within said window have been analyzed; (d) reducing said word window length; and, (e) repeating steps (c) and (d) until only an unrecognized residual of word objects of said ordered string remains. 6. A method as recited in claim 1 wherein said ordered string includes a left end and a fight end, and wherein said step of successively moving said window includes moving said window from an initial position on said left end of said string to a final position at said right end of said string.
| 0.551823 |
1. A method comprising: identifying one or more messages to be hyperlinked in an output report, wherein the one or more messages are data structures that are configured to linguistically describe at least a portion of raw input data; determining one or more interactive responses based on the one or more messages to be hyperlinked; determining, using a processor, one or more words in a phrase specification that are related to the one or more messages to be hyperlinked; generating the output report, wherein the one or more words are hyperlinked in the output report such that when selected at least one of the one or more interactive responses is performed; and in response to a selection of a hyperlink, generating an interactive response using an interactive report generation system.
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1. A method comprising: identifying one or more messages to be hyperlinked in an output report, wherein the one or more messages are data structures that are configured to linguistically describe at least a portion of raw input data; determining one or more interactive responses based on the one or more messages to be hyperlinked; determining, using a processor, one or more words in a phrase specification that are related to the one or more messages to be hyperlinked; generating the output report, wherein the one or more words are hyperlinked in the output report such that when selected at least one of the one or more interactive responses is performed; and in response to a selection of a hyperlink, generating an interactive response using an interactive report generation system. 6. The method of claim 1 , further comprising: generating the output report by performing language generation operations comprising: arranging the one or more messages in a document plan in an order in which they are to be linguistically described in the output report; converting at least one of the one or more messages into a text specification that represents one or more data structures that are representative of at least one syntactic constituent and syntactic feature of a sentence; and applying a grammar to the text specification data structure to generate the output report that is displayable in a user interface.
| 0.652893 |
16. A system to recommend hash tags to be inserted into new comments as the new comments are being generated, the system comprising: a corpus analyzer, executed by a processor, to analyze corpus of existing comments to extract user-added hash tags along with concept information associated with the user-added hash tags; a hash tag database, executed by the processor, coupled with the corpus analyzer to store the user-added hash tags and their corresponding concept information, where the hash tag database stores information on a corpus of hash tags including hash tags having a highest reach within the social network, how recently and heavily the hash tags in the database have been used, and which concepts the hash tags in the database are associated with, a comment analyzer, executed by the processor, to: analyze a new comment as the new comment is being generated to determine concept information included in the new comment, determine if a link is included in the new comment, in response to determining that a link is included in the new comment, extract content that is referenced by the link, and determine the concept information from the extracted content; determine hash tags that are associated with the concept information from the hash tag database, and prioritize the hash tags based on how recently the hash tags have been used in other posted comments and a maximum reach and impact of adding the hash tags to the new comment; and a publisher, executed by the processor, coupled with the comment analyzer and to present the hash tags in a prioritized order to enable one of more of these hash tags to be selected.
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16. A system to recommend hash tags to be inserted into new comments as the new comments are being generated, the system comprising: a corpus analyzer, executed by a processor, to analyze corpus of existing comments to extract user-added hash tags along with concept information associated with the user-added hash tags; a hash tag database, executed by the processor, coupled with the corpus analyzer to store the user-added hash tags and their corresponding concept information, where the hash tag database stores information on a corpus of hash tags including hash tags having a highest reach within the social network, how recently and heavily the hash tags in the database have been used, and which concepts the hash tags in the database are associated with, a comment analyzer, executed by the processor, to: analyze a new comment as the new comment is being generated to determine concept information included in the new comment, determine if a link is included in the new comment, in response to determining that a link is included in the new comment, extract content that is referenced by the link, and determine the concept information from the extracted content; determine hash tags that are associated with the concept information from the hash tag database, and prioritize the hash tags based on how recently the hash tags have been used in other posted comments and a maximum reach and impact of adding the hash tags to the new comment; and a publisher, executed by the processor, coupled with the comment analyzer and to present the hash tags in a prioritized order to enable one of more of these hash tags to be selected. 18. The system of claim 16 , wherein the hash tag database is further to store reach information associated with the hash tags along with recently use information and frequency of use information.
| 0.525589 |
7. A Radio Frequency Identification (RFID) system comprising: one or more computers; a domain level constraint generator software component, operable on said one or more computers, to receive, from a first user, a plurality of domain level RFID system constraints, wherein the domain level RFID system constraints are applicable across one or more components of the RFID system; a translator software component, operable on said one or more computers, to translate the plurality of domain level RFID system constraints into RFID system level constraints, wherein the RFID system level constraints are applicable across the RFID system as a whole; and system level software, operable on said one or more computers, to control the RFID system using the RFID system level constraints, the system level software receiving an RFID system incident generated in response to RFID data and forwarding the RFID system incident to the domain level constraint generator software component, wherein the domain level constraint generator software component modifies the domain level RFID system constraints in response to the RFID system incident, and wherein the domain level constraint generator software component translates the modified domain level RFID system constraints into modified RFID system level constraints to control the system level software.
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7. A Radio Frequency Identification (RFID) system comprising: one or more computers; a domain level constraint generator software component, operable on said one or more computers, to receive, from a first user, a plurality of domain level RFID system constraints, wherein the domain level RFID system constraints are applicable across one or more components of the RFID system; a translator software component, operable on said one or more computers, to translate the plurality of domain level RFID system constraints into RFID system level constraints, wherein the RFID system level constraints are applicable across the RFID system as a whole; and system level software, operable on said one or more computers, to control the RFID system using the RFID system level constraints, the system level software receiving an RFID system incident generated in response to RFID data and forwarding the RFID system incident to the domain level constraint generator software component, wherein the domain level constraint generator software component modifies the domain level RFID system constraints in response to the RFID system incident, and wherein the domain level constraint generator software component translates the modified domain level RFID system constraints into modified RFID system level constraints to control the system level software. 11. The system of claim 7 wherein the system is a supply logistics system.
| 0.692308 |
9. A system according to claim 6 , in which said surface data is such that the or each said surface graph is constrained to have a tree structure.
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9. A system according to claim 6 , in which said surface data is such that the or each said surface graph is constrained to have a tree structure. 11. A system according to claim 9 , in which said dependency data is such that the or each said dependency graph is not constrained to have a planar tree structure.
| 0.941983 |
1. An apparatus comprising: at least one processor; a memory coupled to the at least one processor; an electronic document residing in the memory; an automatic document processing mechanism residing in the memory and executed by the at least one processor, the automatic document processing mechanism processing the electronic document and automatically producing selective highlighting for at least a portion of the electronic document to enhance the comprehension of the electronic document by a human reader, the automatic document processing mechanism determining which portions of the electronic document to selectively highlight based on user preferences that include a specification of at least one word in the electronic document that triggers highlighting of a corresponding portion of the electronic document, the automatic document processing mechanism including: a display mechanism that displays the selective highlighting in a display of the electronic document without altering the electronic document; and a conversion mechanism that generates a new electronic document that includes all information in the electronic document and additionally includes at least one markup language tag that specifies to the automatic document processing mechanism how to perform at least a portion of the selective highlighting of the new electronic document.
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1. An apparatus comprising: at least one processor; a memory coupled to the at least one processor; an electronic document residing in the memory; an automatic document processing mechanism residing in the memory and executed by the at least one processor, the automatic document processing mechanism processing the electronic document and automatically producing selective highlighting for at least a portion of the electronic document to enhance the comprehension of the electronic document by a human reader, the automatic document processing mechanism determining which portions of the electronic document to selectively highlight based on user preferences that include a specification of at least one word in the electronic document that triggers highlighting of a corresponding portion of the electronic document, the automatic document processing mechanism including: a display mechanism that displays the selective highlighting in a display of the electronic document without altering the electronic document; and a conversion mechanism that generates a new electronic document that includes all information in the electronic document and additionally includes at least one markup language tag that specifies to the automatic document processing mechanism how to perform at least a portion of the selective highlighting of the new electronic document. 5. The apparatus of claim 1 further comprising a mechanism for automatically enabling, disabling and adjusting the selective highlighting according to actions of the human reader in browsing the electronic document when the electronic document is displayed.
| 0.5 |
5. The apparatus according to claim 1 wherein said plurality of spaced-apart analog data storage tracks each comprise a variable width track lying below the surface of said target means and exposed to said electron beam.
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5. The apparatus according to claim 1 wherein said plurality of spaced-apart analog data storage tracks each comprise a variable width track lying below the surface of said target means and exposed to said electron beam. 11. The apparatus according to claim 5 wherein said spaced-apart analog data storage tracks each representing an analog record of an audio signal, said apparatus further comprising filter means receiving the electrical signal from said means for producing, and means for amplifying the signal from said means for filtering.
| 0.884429 |
1. A processor-based method for operating an electronic device configured to function as an agent for a user interface in a medical environment utilizing conversation histories, the method comprising: (a) receiving, from a user of the electronic device via a microphone of the electronic device, a first utterance corresponding to a first spoken command, the first spoken command identifying a first patient; (b) converting, utilizing one or more processors, the first utterance to first text; (c) encapsulating, utilizing one or more processors, the converted first text in a first rheme object; (d) searching, for each of a plurality of topics utilizing one or more processors, for keywords in the converted first text; (e) determining, utilizing one or more processors, a relevancy metric for each of the plurality of topics based on the keyword searching of the converted first text; (f) selecting, utilizing one or more processors, one or more topics as a first set of one or more relevant topics based on the determined relevancy metrics; (g) comparing, utilizing one or more processors, some or all of the converted first text to names in one or more patient lists or databases; (h) determining, utilizing one or more processors based on comparing some or all of the converted first text, that the first utterance included an identification of the first patient based on successful matching during the comparing of some or all of the converted first text; (i) based on the determination that the first utterance included an identification of the first patient, attaching, utilizing one or more processors, an indication of the identified first patient to the first rheme object; (j) displaying, to the user via a display device associated with the electronic device, first information associated with the first patient based on the selected first set of one or more relevant topics and the identified first patient; (k) saving, utilizing one or more processors, the selected first set of one or more relevant topics in a conversation history in association with the identified first patient; (l) receiving, from the user of the electronic device via the microphone of the electronic device, a second utterance corresponding to a second spoken command, the second spoken command not including an identification of a patient; (m) converting, utilizing one or more processors, the second utterance to second text; (n) encapsulating, utilizing one or more processors, the converted second text in a second rheme object; (o) searching, for each of the plurality of topics utilizing one or more processors, for keywords in the converted second text; (p) determining, utilizing one or more processors, a relevancy metric for each of the plurality of topics based on the keyword searching of the converted second text; (q) selecting, utilizing one or more processors, one or more topics as a second set of one or more relevant topics based on the determined relevancy metrics; (r) comparing, utilizing one or more processors, some or all of the converted second text to names in the one or more patient lists or databases; (s) determining, utilizing one or more processors based on comparing some or all of the converted second text, that the second utterance did not include an identification of a patient, and, based thereon, attaching an indication of the previously identified first patient to the second rheme object; (t) displaying, to the user via the display device associated with the electronic device, second information associated with the first patient based on the selected second set of one or more relevant topics and the previous identification of the first patient; and (u) generating, via the one or more processors, an updated conversation history comprising the selected second set of one or more relevant topics associated with the previously identified first patient.
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1. A processor-based method for operating an electronic device configured to function as an agent for a user interface in a medical environment utilizing conversation histories, the method comprising: (a) receiving, from a user of the electronic device via a microphone of the electronic device, a first utterance corresponding to a first spoken command, the first spoken command identifying a first patient; (b) converting, utilizing one or more processors, the first utterance to first text; (c) encapsulating, utilizing one or more processors, the converted first text in a first rheme object; (d) searching, for each of a plurality of topics utilizing one or more processors, for keywords in the converted first text; (e) determining, utilizing one or more processors, a relevancy metric for each of the plurality of topics based on the keyword searching of the converted first text; (f) selecting, utilizing one or more processors, one or more topics as a first set of one or more relevant topics based on the determined relevancy metrics; (g) comparing, utilizing one or more processors, some or all of the converted first text to names in one or more patient lists or databases; (h) determining, utilizing one or more processors based on comparing some or all of the converted first text, that the first utterance included an identification of the first patient based on successful matching during the comparing of some or all of the converted first text; (i) based on the determination that the first utterance included an identification of the first patient, attaching, utilizing one or more processors, an indication of the identified first patient to the first rheme object; (j) displaying, to the user via a display device associated with the electronic device, first information associated with the first patient based on the selected first set of one or more relevant topics and the identified first patient; (k) saving, utilizing one or more processors, the selected first set of one or more relevant topics in a conversation history in association with the identified first patient; (l) receiving, from the user of the electronic device via the microphone of the electronic device, a second utterance corresponding to a second spoken command, the second spoken command not including an identification of a patient; (m) converting, utilizing one or more processors, the second utterance to second text; (n) encapsulating, utilizing one or more processors, the converted second text in a second rheme object; (o) searching, for each of the plurality of topics utilizing one or more processors, for keywords in the converted second text; (p) determining, utilizing one or more processors, a relevancy metric for each of the plurality of topics based on the keyword searching of the converted second text; (q) selecting, utilizing one or more processors, one or more topics as a second set of one or more relevant topics based on the determined relevancy metrics; (r) comparing, utilizing one or more processors, some or all of the converted second text to names in the one or more patient lists or databases; (s) determining, utilizing one or more processors based on comparing some or all of the converted second text, that the second utterance did not include an identification of a patient, and, based thereon, attaching an indication of the previously identified first patient to the second rheme object; (t) displaying, to the user via the display device associated with the electronic device, second information associated with the first patient based on the selected second set of one or more relevant topics and the previous identification of the first patient; and (u) generating, via the one or more processors, an updated conversation history comprising the selected second set of one or more relevant topics associated with the previously identified first patient. 6. The processor-based method of claim 1 , wherein the electronic device comprises a phone.
| 0.655499 |
2. The system of claim 1 : wherein a discovery agent running with the sandboxed program is configured to query the discovery service for the service information associated with the at least one of the networked device and the networked service, wherein the service information comprises at least one of a global unique identifier (GUID), an alphanumeric name, a public address pair, and a private address pair.
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2. The system of claim 1 : wherein a discovery agent running with the sandboxed program is configured to query the discovery service for the service information associated with the at least one of the networked device and the networked service, wherein the service information comprises at least one of a global unique identifier (GUID), an alphanumeric name, a public address pair, and a private address pair. 4. The system of claim 2 : wherein the discovery agent is further configured to serve as a trusted intermediary between an untrusted sandboxed program and the at least one of the networked device and the networked service, wherein the trusted intermediary is configured to guard at least one of the GUID, the alphanumeric name, the public address pair, and the private address pair associated with the at least one of the networked device and the networked service from the untrusted sandboxed program, and wherein the trusted intermediary and the untrusted sandboxed program are configured to communicate via a mutually agreed programming interface.
| 0.839127 |
18. A system including memory and one or more processors operable to execute instructions, stored in the memory, comprising instructions to perform the operations of: identifying a respective ordered list of search result documents for each query in a plurality of queries; identifying: a given query in the plurality of queries; a first and second grouping in the ordered list for the given query; and a first and second grouping in the ordered list for each of the remaining queries in the plurality of queries; determining non-overlap scores between the given query and each of the remaining queries in the plurality of queries, wherein the non-overlap scores measure dissimilarities between the search result documents within the first grouping in the ordered list for the given query and the first grouping in the ordered list for each of the remaining queries in the plurality of queries; selecting one or more candidate queries from the remaining queries in the plurality of queries based on the non-overlap scores; determining overlap scores between the given query and each of the candidate queries, wherein the overlap scores measure similarities between the search result documents within the second grouping in the ordered list for the given query and the second grouping in the ordered list for each of the candidate queries; selecting one or more related queries from the candidate queries based on the overlap scores; and storing data associating the related queries with the given query.
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18. A system including memory and one or more processors operable to execute instructions, stored in the memory, comprising instructions to perform the operations of: identifying a respective ordered list of search result documents for each query in a plurality of queries; identifying: a given query in the plurality of queries; a first and second grouping in the ordered list for the given query; and a first and second grouping in the ordered list for each of the remaining queries in the plurality of queries; determining non-overlap scores between the given query and each of the remaining queries in the plurality of queries, wherein the non-overlap scores measure dissimilarities between the search result documents within the first grouping in the ordered list for the given query and the first grouping in the ordered list for each of the remaining queries in the plurality of queries; selecting one or more candidate queries from the remaining queries in the plurality of queries based on the non-overlap scores; determining overlap scores between the given query and each of the candidate queries, wherein the overlap scores measure similarities between the search result documents within the second grouping in the ordered list for the given query and the second grouping in the ordered list for each of the candidate queries; selecting one or more related queries from the candidate queries based on the overlap scores; and storing data associating the related queries with the given query. 33. The system of claim 18 , further comprising instructions to perform the operations of: receiving the given query; and transmitting one or more of the related queries as query suggestions for the received given query.
| 0.542037 |
1. A process of transforming data residing in databases into forms suitable as input to data analysis tools, the process including the steps of defining a business process problem to be solved and identifying data requirements, the improvement of computer implemented method for automatically transforming data for use in data analysis tools used to build predictive models comprising the steps of: specifying by a database administrator database metadata information of data to be transformed, said specification encapsulating said database metadata information; creating by an analyst from said database metadata specification a mining transformation profile comprising a specification of key fields and desired data transformations, said specification being relative to said database metadata information and suitable for use by said data analysis tools to build predictive models; generating executable data transformation code automatically from the encapsulated database metadata information and the mining transformation profile, execution of said data transformation code producing at least one of said desired transformations aggregated relative to at least one of said key fields for input to one of said data analysis tools; and iteratively executing the data transformation code by said analyst to build a predictive model according to said data analysis tool, the model generating an output that provides a solution to the business process problem, the iterative execution by a computer of said data transformation code replacing repeated interactions between the database administrator and the analyst.
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1. A process of transforming data residing in databases into forms suitable as input to data analysis tools, the process including the steps of defining a business process problem to be solved and identifying data requirements, the improvement of computer implemented method for automatically transforming data for use in data analysis tools used to build predictive models comprising the steps of: specifying by a database administrator database metadata information of data to be transformed, said specification encapsulating said database metadata information; creating by an analyst from said database metadata specification a mining transformation profile comprising a specification of key fields and desired data transformations, said specification being relative to said database metadata information and suitable for use by said data analysis tools to build predictive models; generating executable data transformation code automatically from the encapsulated database metadata information and the mining transformation profile, execution of said data transformation code producing at least one of said desired transformations aggregated relative to at least one of said key fields for input to one of said data analysis tools; and iteratively executing the data transformation code by said analyst to build a predictive model according to said data analysis tool, the model generating an output that provides a solution to the business process problem, the iterative execution by a computer of said data transformation code replacing repeated interactions between the database administrator and the analyst. 5. The process of claim 1 wherein said step of creating a mining transformation profile creates a mining transformation profile that refers to and/or reuses relational and multidimensional metadata from said database metadata specification.
| 0.586935 |
12. A method for building and utilizing interactive software system predictive models using biometric data comprising: providing an interactive software system; defining biometric data to be obtained and analyzed; providing one or more biometric data collection systems to obtain the defined biometric data; monitoring two or more users' interaction with the interactive software system and obtaining user interaction activity data indicating the users' interaction with the interactive software system at defined times; using the one or more biometric data collection systems to obtain biometric data associated with the users at defined times as the users interact with the interactive software system; correlating the biometric data associated with the users with the users' interaction activity data at the defined times; obtaining baseline data associated with the users, the baseline data including data indicating when the baseline data was obtained; analyzing the biometric data associated with the users and correlated to the users' interaction activity data and the baseline data associated with the users, to generate emotional pattern predictive model data representing an emotional pattern predictive model associated with each of the users; analyzing the emotional pattern predictive model data representing the emotional pattern predictive models associated with each of the users to identify one or more user categories; identifying one or more user categories; for each user category identified, aggregating and analyzing the emotional pattern predictive model data associated with each of the users of that identified user category to generate user category emotional pattern profile data for that user category; determining that a current user of the interactive software system is a user of one of the identified user categories and associating that user category with the current user; monitoring the current user's interaction with the interactive software system and obtaining current user interaction activity data indicating the current user's interaction with the interactive software system at defined times; using the one or more biometric data collection systems to obtain biometric data associated with the current user at defined times as the current user interacts with the interactive software system; correlating the biometric data associated with the current user with the current user's interaction activity data; comparing the biometric data associated with the current user correlated to the current user's interaction activity data with the user category emotional pattern profile data for the user category associated with the current user; and if a deviation is found between the biometric data associated with the current user correlated to the current user's interaction activity data with the user category emotional pattern profile data for the user category associated with the current user, modifying one or more features and/or supporting systems associated with the interactive software system to customize an interactive software system user experience to the current user; and presenting the customized interactive software system user experience to the current user.
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12. A method for building and utilizing interactive software system predictive models using biometric data comprising: providing an interactive software system; defining biometric data to be obtained and analyzed; providing one or more biometric data collection systems to obtain the defined biometric data; monitoring two or more users' interaction with the interactive software system and obtaining user interaction activity data indicating the users' interaction with the interactive software system at defined times; using the one or more biometric data collection systems to obtain biometric data associated with the users at defined times as the users interact with the interactive software system; correlating the biometric data associated with the users with the users' interaction activity data at the defined times; obtaining baseline data associated with the users, the baseline data including data indicating when the baseline data was obtained; analyzing the biometric data associated with the users and correlated to the users' interaction activity data and the baseline data associated with the users, to generate emotional pattern predictive model data representing an emotional pattern predictive model associated with each of the users; analyzing the emotional pattern predictive model data representing the emotional pattern predictive models associated with each of the users to identify one or more user categories; identifying one or more user categories; for each user category identified, aggregating and analyzing the emotional pattern predictive model data associated with each of the users of that identified user category to generate user category emotional pattern profile data for that user category; determining that a current user of the interactive software system is a user of one of the identified user categories and associating that user category with the current user; monitoring the current user's interaction with the interactive software system and obtaining current user interaction activity data indicating the current user's interaction with the interactive software system at defined times; using the one or more biometric data collection systems to obtain biometric data associated with the current user at defined times as the current user interacts with the interactive software system; correlating the biometric data associated with the current user with the current user's interaction activity data; comparing the biometric data associated with the current user correlated to the current user's interaction activity data with the user category emotional pattern profile data for the user category associated with the current user; and if a deviation is found between the biometric data associated with the current user correlated to the current user's interaction activity data with the user category emotional pattern profile data for the user category associated with the current user, modifying one or more features and/or supporting systems associated with the interactive software system to customize an interactive software system user experience to the current user; and presenting the customized interactive software system user experience to the current user. 22. The method for building and utilizing interactive software system predictive models using biometric data of claim 12 , wherein the customized interactive software system user experience is presented to the user via at least one computing system selected from the group of computing systems consisting of: a server computing system; a workstation; a desktop computing system; a user wearable computing system; and a mobile computing system.
| 0.62139 |
7. The method of claim 1 wherein the insured is either an individual or a business entity.
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7. The method of claim 1 wherein the insured is either an individual or a business entity. 8. The method of claim 7 wherein the client and the insured are the same entity.
| 0.975077 |
26. A computerized system for storing information about quotations comprising: a) a plurality of electronically stored text documents stored on a tangible, computer readable medium, including a source document that contains an item of text and a first quoting document that quotes the item of text as a quotation originating from the source document; b) a computer-readable memory storing a data record, the data record being associated with the source document, the data record storing: i) the fact that the item of quoted text has been quoted by the quoting document, ii) the location of the quoted text within the source document, iii) a first quotation identifier for uniquely identifying the item of quoted text in the source document, and iv) a first document identifier uniquely identifying the first quoting document; and c) a processor programmed to: i) recall the data record associated with the source document when displaying the source document without accessing the quoting document, ii) highlight the item of quoted text during the display of the source document through a computerized interface, wherein a technique for the highlight is selected from a set comprising changing a color of a font for displayed text, creating a different colored background for displayed text, and otherwise visually emphasizing the importance of displayed text; iii) receive a user selection of the item of quoted text; and iv) display a list of quoting documents that quote the selected item of quoted text.
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26. A computerized system for storing information about quotations comprising: a) a plurality of electronically stored text documents stored on a tangible, computer readable medium, including a source document that contains an item of text and a first quoting document that quotes the item of text as a quotation originating from the source document; b) a computer-readable memory storing a data record, the data record being associated with the source document, the data record storing: i) the fact that the item of quoted text has been quoted by the quoting document, ii) the location of the quoted text within the source document, iii) a first quotation identifier for uniquely identifying the item of quoted text in the source document, and iv) a first document identifier uniquely identifying the first quoting document; and c) a processor programmed to: i) recall the data record associated with the source document when displaying the source document without accessing the quoting document, ii) highlight the item of quoted text during the display of the source document through a computerized interface, wherein a technique for the highlight is selected from a set comprising changing a color of a font for displayed text, creating a different colored background for displayed text, and otherwise visually emphasizing the importance of displayed text; iii) receive a user selection of the item of quoted text; and iv) display a list of quoting documents that quote the selected item of quoted text. 27. The system of claim 26 , further comprising a second quoting document that quotes the item of text as a quotation originating from the source document, and further comprising a second record having the first quotation identifier and a second document identifier uniquely identifying the second quoting document.
| 0.595516 |
15. The method of claim 14 , where the method further comprises: identifying a programmable application program interface (API) that programmatically identifies the first part or the second part based on the independent representation.
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15. The method of claim 14 , where the method further comprises: identifying a programmable application program interface (API) that programmatically identifies the first part or the second part based on the independent representation. 17. The method of claim 15 , where the second entity is the generated code and the programmable API allows a user to use an external code debugger to debug the generated code.
| 0.929122 |
22. The computer program product as recited in claim 21 , further comprising a compositionality feature for integrating narratives amongst a first story specification and a second story specification, so that a first angle is assigned to the first story specification and a second angle is assigned to the second story specification and the first and second angles serve to parameterize the generalized angle in order to integrate the first and second story specifications.
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22. The computer program product as recited in claim 21 , further comprising a compositionality feature for integrating narratives amongst a first story specification and a second story specification, so that a first angle is assigned to the first story specification and a second angle is assigned to the second story specification and the first and second angles serve to parameterize the generalized angle in order to integrate the first and second story specifications. 23. The computer program product as recited in claim 22 , wherein the generalized angle includes a member of the group consisting of (1) an expected positive event angle, (2) an unexpected positive event angle, (3) an expected victory over weaker opponent angle, (4) an unexpected victory over a stronger opponent angle, (5) an unexpected defeat by a weaker opponent angle, (6) an expected defeat by a stronger opponent angle, (7) a come from behind victory angle, (8) a biggest missed opportunity angle, (9) a noteworthy play angle, (10) a high internal metrics but low resulting external metrics angle, (11) a blow-out angle, and (12) an entity unable to capitalize on opportunities angle.
| 0.852415 |
9. A method performed by a system of one or more computers, the method comprising: identifying, by the system in a machine-readable index, a first sentence fragment and a second sentence fragment that are both associated with a same first information item, wherein the first information item is one of a date, an entity name, and a concept, wherein the machine-readable index comprises a plurality of information items and sentence fragments associated with respective of the information items; in response to identifying that the first sentence fragment and the second sentence fragment are both associated with a same first information item, identifying, by the system, a paraphrase pair in the first and second sentence fragments; repeating, by the system, the identifying of the first sentence fragment and the second sentence fragment and the identifying of the paraphrase pair to identify a plurality of paraphrase pairs; and determining, by the system, a frequency of occurrence value for each of the paraphrase pairs in the plurality of paraphrase pairs, wherein the frequency of occurrence value embodies the frequency at which each paraphrase pair appears in the plurality of paraphrase pairs, wherein the paraphrase pair comprises a first paraphrase and a second paraphrase, the first paraphrase comprises a proper subset of the words in the first sentence fragment, the second paraphrase comprises a proper subset of the words in the second sentence fragment, and the first paraphrase and the second paraphrase are in a same language, have a same or a similar meaning, and are not identical.
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9. A method performed by a system of one or more computers, the method comprising: identifying, by the system in a machine-readable index, a first sentence fragment and a second sentence fragment that are both associated with a same first information item, wherein the first information item is one of a date, an entity name, and a concept, wherein the machine-readable index comprises a plurality of information items and sentence fragments associated with respective of the information items; in response to identifying that the first sentence fragment and the second sentence fragment are both associated with a same first information item, identifying, by the system, a paraphrase pair in the first and second sentence fragments; repeating, by the system, the identifying of the first sentence fragment and the second sentence fragment and the identifying of the paraphrase pair to identify a plurality of paraphrase pairs; and determining, by the system, a frequency of occurrence value for each of the paraphrase pairs in the plurality of paraphrase pairs, wherein the frequency of occurrence value embodies the frequency at which each paraphrase pair appears in the plurality of paraphrase pairs, wherein the paraphrase pair comprises a first paraphrase and a second paraphrase, the first paraphrase comprises a proper subset of the words in the first sentence fragment, the second paraphrase comprises a proper subset of the words in the second sentence fragment, and the first paraphrase and the second paraphrase are in a same language, have a same or a similar meaning, and are not identical. 11. The method of claim 9 , further comprising: identifying, by the system, a subset of the plurality of paraphrase pairs having a frequency of occurrence value above a threshold; and adding, by the system, the subset of the plurality of paraphrase pairs to a machine-readable data collection.
| 0.569023 |
17. A computer program product, encoded on one or more non-transitory computer storage media, comprising instructions that when executed by one or more computers cause the one or more computers to perform operations comprising: processing building information model data to identify a plurality of building entities, each building entity representing a respective feature of a building modeled by the building information model data, wherein processing comprises parsing the building information model data to further generate a set of tessellate geometry for each of the plurality of building entities respectively, wherein the set of tessellate geometry is used to render corresponding two dimensional views of each of the plurality of building entities; processing a plurality of simulated user interactions corresponding to presentations of the two dimensional views of each of the plurality of building entities, wherein the plurality of simulated user interactions is based on a set of permitted user interactions associated with each corresponding view of the building entity; determining relationships between different respective pairs of the building entities, including determining a particular relationship between a first building entity and a second building entity; obtaining data representing an interaction graph for the plurality of building entities, wherein the interaction graph has nodes and links, each node representing a building entity of the building, and wherein each link connects a corresponding pair of nodes and represents a simulated user interaction with a presentation of a building entity represented by a first node of the pair from the processed plurality of simulated user interactions, the simulated user interaction resulting in a request for a presentation of another building entity represented by a second node of the pair; identifying a first node in the interaction graph corresponding to the first building entity, a second node in the interaction graph corresponding to the second building entity, and a link between the first node and the second node, the link representing a first permitted user interaction from the set of permitted user interactions associated with a first presentation of the first building entity; generating a first presentation comprising a first predetermined view of the first building entity based on the generated set of tessellate geometry for the first building entity, wherein the first presentation comprises a selectable reference for the first permitted user interaction with the first presentation, the selectable reference representing the particular relationship between the first building entity and the second building entity; determining a second predetermined view of the second building entity according to the particular relationship represented by the selectable reference in the first presentation; generating a second presentation based on the generated set of tessellate geometry for the second building entity and comprising the second predetermined view of the second building entity; after generating the first presentation and the second presentation, receiving, over a network from a user device of a user, a user request for the first presentation of the first predetermined view of the first building entity; providing the first presentation of the first predetermined view of the first building entity for presentation to the user at the user device; receiving an indication of user interaction with the selectable reference within the first presentation; and in response to receiving the indication, providing the second presentation of the second predetermined view of the second building entity for presentation to the user at the user device.
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17. A computer program product, encoded on one or more non-transitory computer storage media, comprising instructions that when executed by one or more computers cause the one or more computers to perform operations comprising: processing building information model data to identify a plurality of building entities, each building entity representing a respective feature of a building modeled by the building information model data, wherein processing comprises parsing the building information model data to further generate a set of tessellate geometry for each of the plurality of building entities respectively, wherein the set of tessellate geometry is used to render corresponding two dimensional views of each of the plurality of building entities; processing a plurality of simulated user interactions corresponding to presentations of the two dimensional views of each of the plurality of building entities, wherein the plurality of simulated user interactions is based on a set of permitted user interactions associated with each corresponding view of the building entity; determining relationships between different respective pairs of the building entities, including determining a particular relationship between a first building entity and a second building entity; obtaining data representing an interaction graph for the plurality of building entities, wherein the interaction graph has nodes and links, each node representing a building entity of the building, and wherein each link connects a corresponding pair of nodes and represents a simulated user interaction with a presentation of a building entity represented by a first node of the pair from the processed plurality of simulated user interactions, the simulated user interaction resulting in a request for a presentation of another building entity represented by a second node of the pair; identifying a first node in the interaction graph corresponding to the first building entity, a second node in the interaction graph corresponding to the second building entity, and a link between the first node and the second node, the link representing a first permitted user interaction from the set of permitted user interactions associated with a first presentation of the first building entity; generating a first presentation comprising a first predetermined view of the first building entity based on the generated set of tessellate geometry for the first building entity, wherein the first presentation comprises a selectable reference for the first permitted user interaction with the first presentation, the selectable reference representing the particular relationship between the first building entity and the second building entity; determining a second predetermined view of the second building entity according to the particular relationship represented by the selectable reference in the first presentation; generating a second presentation based on the generated set of tessellate geometry for the second building entity and comprising the second predetermined view of the second building entity; after generating the first presentation and the second presentation, receiving, over a network from a user device of a user, a user request for the first presentation of the first predetermined view of the first building entity; providing the first presentation of the first predetermined view of the first building entity for presentation to the user at the user device; receiving an indication of user interaction with the selectable reference within the first presentation; and in response to receiving the indication, providing the second presentation of the second predetermined view of the second building entity for presentation to the user at the user device. 20. The computer program product of claim 17 , wherein the set of permitted user interactions is based on properties of the user device.
| 0.536512 |
21. A system for aggregating person-centric information for displaying in a user interface, comprising: a processor; and a memory having computer executable instructions stored thereon, the computer executable instructions being configured for: accessing a client-side application of the client device to obtain a client manipulative electronic document on the client side application; parsing the text of the electronic document, by a persona menu application, for a person name, wherein the persona menu application is separate from the client-side application and is configured as a dynamically linked library for accessing a plurality of different data sources related to a suite of applications; querying, by the persona menu application, at least one user contact data source of the plurality of different data sources containing person-centric data to identify person-centric data associated with the person name; obtaining, at the persona menu application, person-centric data associated with the person name from the at least one user contact data source; querying, by the persona menu application, at least one subsequent data source of the plurality of different data sources containing person-centric data to identify additional person-centric data based on the person name and the person-centric data obtained from the query of the at least one user contact data source; obtaining, at the persona menu application, the additional person-centric data from the at least one subsequent data source, wherein a communication application for communicating with a user identified by the person name is associated with at least one member of a group comprising: the at least one user contact data source and the at least one subsequent data source; populating, in the client-side application of the client, a data structure for the person name with the person-centric data obtained from the at least one user contact data source and the at least one subsequent data source; and providing a graphical user interface, of the separate persona menu application, in the client-side application of the client device, wherein the graphical user interface displays the person-centric data and the additional person-centric data adjacent to the person name in the electronic document of the client-side application, wherein the graphical user interface of the separate persona menu application includes action items for facilitating communication with the user identified by the person name according to the communication application associated with the at least one member of a group comprising: the at least one user contact data source and the at least one subsequent data source.
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21. A system for aggregating person-centric information for displaying in a user interface, comprising: a processor; and a memory having computer executable instructions stored thereon, the computer executable instructions being configured for: accessing a client-side application of the client device to obtain a client manipulative electronic document on the client side application; parsing the text of the electronic document, by a persona menu application, for a person name, wherein the persona menu application is separate from the client-side application and is configured as a dynamically linked library for accessing a plurality of different data sources related to a suite of applications; querying, by the persona menu application, at least one user contact data source of the plurality of different data sources containing person-centric data to identify person-centric data associated with the person name; obtaining, at the persona menu application, person-centric data associated with the person name from the at least one user contact data source; querying, by the persona menu application, at least one subsequent data source of the plurality of different data sources containing person-centric data to identify additional person-centric data based on the person name and the person-centric data obtained from the query of the at least one user contact data source; obtaining, at the persona menu application, the additional person-centric data from the at least one subsequent data source, wherein a communication application for communicating with a user identified by the person name is associated with at least one member of a group comprising: the at least one user contact data source and the at least one subsequent data source; populating, in the client-side application of the client, a data structure for the person name with the person-centric data obtained from the at least one user contact data source and the at least one subsequent data source; and providing a graphical user interface, of the separate persona menu application, in the client-side application of the client device, wherein the graphical user interface displays the person-centric data and the additional person-centric data adjacent to the person name in the electronic document of the client-side application, wherein the graphical user interface of the separate persona menu application includes action items for facilitating communication with the user identified by the person name according to the communication application associated with the at least one member of a group comprising: the at least one user contact data source and the at least one subsequent data source. 23. The system of claim 21 , whereby the person-centric data includes online/offline status for the person name.
| 0.567238 |
22. The device of claim 21 , wherein the data for translation is associated with a data schema not provided on the network device.
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22. The device of claim 21 , wherein the data for translation is associated with a data schema not provided on the network device. 23. The device of claim 22 , wherein the network device is configured to receive the network data, the identification module is configured to identify when the network device is unable to process the received network data, and the transmitter is configured to communicate the received network data to the translator when the network device is unable to process the received network data.
| 0.8758 |
1. A computer-implemented method comprising: receiving one or more query criterion to retrieve data and generating a query result of data from one or more data stores based on the one or more query criterion; applying a transform to the query result data, the transform applying analytics to the query result data to produce transformed query result data consumable by a graphical user interface, the transformed query result data modeled as an object; applying a data template and binding instructions to the transformed query result data to generate a formlet including data and associated relationship and functionality information for display of and interaction with the data, the binding instructions specifying how the transformed query result data is to be bound to the data template, the data template specifying visual components and visual styling instructions for the transformed query result data object to form the formlet; facilitating runtime configurability of the formlet by a user; and displaying the formlet via the graphical user interface, the formlet forming part of an application for user review and interaction.
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1. A computer-implemented method comprising: receiving one or more query criterion to retrieve data and generating a query result of data from one or more data stores based on the one or more query criterion; applying a transform to the query result data, the transform applying analytics to the query result data to produce transformed query result data consumable by a graphical user interface, the transformed query result data modeled as an object; applying a data template and binding instructions to the transformed query result data to generate a formlet including data and associated relationship and functionality information for display of and interaction with the data, the binding instructions specifying how the transformed query result data is to be bound to the data template, the data template specifying visual components and visual styling instructions for the transformed query result data object to form the formlet; facilitating runtime configurability of the formlet by a user; and displaying the formlet via the graphical user interface, the formlet forming part of an application for user review and interaction. 3. The method of claim 1 , wherein the formlet forms part of a clinical application telling a story regarding one or more patients for user review and interaction.
| 0.790281 |
2. The information communication terminal according to claim 1 , further comprising: a keyword output module configured to provide the plurality of keywords to the monitor; and an information acquisition condition acceptance module configured to accept keywords selected from the plurality of keywords and an input of an information acquisition condition of the related information, wherein the related information acquisition module reads the accepted keyword and the accepted information acquisition condition to acquire the related information.
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2. The information communication terminal according to claim 1 , further comprising: a keyword output module configured to provide the plurality of keywords to the monitor; and an information acquisition condition acceptance module configured to accept keywords selected from the plurality of keywords and an input of an information acquisition condition of the related information, wherein the related information acquisition module reads the accepted keyword and the accepted information acquisition condition to acquire the related information. 3. The information communication terminal according to claim 2 , further comprising: a common information module configured to share at least one of the information acquisition condition and the related information with another information communication terminal.
| 0.862803 |
1. A method comprising: delegating a task associated with an identified portion of a first data content object to a particular user; determining one or more events performed on content within the identified portion of the first data content object, the one or more events being performed by a first user using a data-content-object processing application; storing one or more event indications identifying the one or more events in a history buffer, at least one of the one or more event indications including metadata indicating first-user interaction with the content within the identified portion of the first data content object; retrieving a notification threshold condition associated with the particular user, the notification threshold condition defining criteria for determining which of the one or more event indications are relevant to the particular user and for determining based on the one or more event indications relevant to the particular user whether to send a notification to the particular user, at least one of the criteria requiring that the relevancy of at least one of the one or more events be determined based on an interaction with the identified portion of the first data content object by the particular user, wherein the interaction is that the particular user previously commented on the identified portion of the first data content object; using the criteria to determine which of the one or more event indications in the history buffer are relevant to the particular user where the relevant historical event indications are determined based on which event indications in the history buffer correspond to the identified portion of the first data object delegated to the particular user; using the criteria to determine whether the one or more event indications relevant to the particular user satisfies the notification threshold condition; and when the notification threshold condition is satisfied, generating the notification for the particular user.
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1. A method comprising: delegating a task associated with an identified portion of a first data content object to a particular user; determining one or more events performed on content within the identified portion of the first data content object, the one or more events being performed by a first user using a data-content-object processing application; storing one or more event indications identifying the one or more events in a history buffer, at least one of the one or more event indications including metadata indicating first-user interaction with the content within the identified portion of the first data content object; retrieving a notification threshold condition associated with the particular user, the notification threshold condition defining criteria for determining which of the one or more event indications are relevant to the particular user and for determining based on the one or more event indications relevant to the particular user whether to send a notification to the particular user, at least one of the criteria requiring that the relevancy of at least one of the one or more events be determined based on an interaction with the identified portion of the first data content object by the particular user, wherein the interaction is that the particular user previously commented on the identified portion of the first data content object; using the criteria to determine which of the one or more event indications in the history buffer are relevant to the particular user where the relevant historical event indications are determined based on which event indications in the history buffer correspond to the identified portion of the first data object delegated to the particular user; using the criteria to determine whether the one or more event indications relevant to the particular user satisfies the notification threshold condition; and when the notification threshold condition is satisfied, generating the notification for the particular user. 2. The method of claim 1 , wherein the history buffer is dedicated to the first data content object.
| 0.882831 |
11. The method of claim 8 , further comprising: determining a combined alignment using two or more bridge-based alignments based on two or more bridge languages; and using the combined alignment to generate a third candidate translation of the input text.
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11. The method of claim 8 , further comprising: determining a combined alignment using two or more bridge-based alignments based on two or more bridge languages; and using the combined alignment to generate a third candidate translation of the input text. 12. The method of claim 11 , wherein determining the combined alignment includes: Receiving a specific alignment for each of the two or more bridge languages; associating each specific alignment with a weight based on its respective bridge language, the source language and the target language; and combining the specific alignments based on the weights to obtain the combined alignment.
| 0.89468 |
16. A neural network implemented in a computer readable non-transitory storage medium comprising a computer readable program, wherein the computer readable program when executed on a computer performs semantic extraction and semantic role labeling, comprising: an indexer configured to index an input sentence and provide position information for a word of interest and a verb of interest; at least one lookup table for converting words into vectors using features obtained from the indexer for the input sentence; a first linear layer configured to integrate verb position in the input sentence of the verb of interest into a block-column structure that is adapted to the input sentence; and a second linear layer configured to perform a linear transformation using the block-column structure and the word vectors; and a squashing layer configured to interpret outputs of the linear layer as class probabilities for semantic role labels for the input sentence.
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16. A neural network implemented in a computer readable non-transitory storage medium comprising a computer readable program, wherein the computer readable program when executed on a computer performs semantic extraction and semantic role labeling, comprising: an indexer configured to index an input sentence and provide position information for a word of interest and a verb of interest; at least one lookup table for converting words into vectors using features obtained from the indexer for the input sentence; a first linear layer configured to integrate verb position in the input sentence of the verb of interest into a block-column structure that is adapted to the input sentence; and a second linear layer configured to perform a linear transformation using the block-column structure and the word vectors; and a squashing layer configured to interpret outputs of the linear layer as class probabilities for semantic role labels for the input sentence. 20. The neural network as recited in claim 16 , wherein the squashing layer includes a softmax squashing layer that outputs probabilities for argument classes.
| 0.575431 |
22. A computerized method of viewing medical forms, the method comprising: by a computing device including hardware: receiving a selection of an electronic form that a user of a computing system desires to view, wherein the selected electronic form includes information regarding a particular patient; determining a type of the electronic form, wherein the type of the electronic form includes one or more of an image screening form, a patient information form, an insurance information form, an information form for a particular exam type, a consent form, a screening form, a registration form, or a referral form; accessing attribute data associated with the determined type of the electronic form, the attribute data comprising at least a security attribute for the determined type of electronic form; determining one or more user attributes associated with the user of the computing system; and based on at least the security attribute for the determined type of electronic form and the one or more user attributes, determining one or more display parameters for depicting the electronic form for viewing by the user of the computing system.
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22. A computerized method of viewing medical forms, the method comprising: by a computing device including hardware: receiving a selection of an electronic form that a user of a computing system desires to view, wherein the selected electronic form includes information regarding a particular patient; determining a type of the electronic form, wherein the type of the electronic form includes one or more of an image screening form, a patient information form, an insurance information form, an information form for a particular exam type, a consent form, a screening form, a registration form, or a referral form; accessing attribute data associated with the determined type of the electronic form, the attribute data comprising at least a security attribute for the determined type of electronic form; determining one or more user attributes associated with the user of the computing system; and based on at least the security attribute for the determined type of electronic form and the one or more user attributes, determining one or more display parameters for depicting the electronic form for viewing by the user of the computing system. 23. The computerized method of claim 22 , wherein the attribute data further comprises a document type attribute, wherein the document types comprise an image type and a non-image type.
| 0.625733 |
1. In an information processing system having a computer and a display terminal connected to the computer; a method of automatically generating a source program comprising the step of inputting through said display terminal various schematic information items representing a program module structure diagram as well as processing flow diagrams, internal data definition diagrams and interface data definition diagrams which correspond to respective modules, the step of generating source sentences for the respective modules based on inputted schematic information items, and the step of editing the source sentences and generating a source program.
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1. In an information processing system having a computer and a display terminal connected to the computer; a method of automatically generating a source program comprising the step of inputting through said display terminal various schematic information items representing a program module structure diagram as well as processing flow diagrams, internal data definition diagrams and interface data definition diagrams which correspond to respective modules, the step of generating source sentences for the respective modules based on inputted schematic information items, and the step of editing the source sentences and generating a source program. 7. A method of automatically generating a source program as defined in claim 1, further comprising the step of specifying a programming language of the source sentences.
| 0.723913 |
1. A method for automatically generating a vocabulary entry from input acoustic data, said method comprising: performing, by a computer processor, a vocabulary entry type-specific acoustic phonetic transcription of the input acoustic data and a classification of vocabulary entry types based on phonetic structure, wherein the classification of vocabulary entries is carried out in accordance with a number of predetermined types; performing, by the computer processor, a vocabulary entry type-specific phoneme-to-grapheme conversion, to derive the respective vocabulary entries comprising a pair of the phonetic transcription of the input acoustic data and its grapheme form; and providing a select one of the vocabulary entries to a database for use in a speech processing application; wherein the classification of vocabulary entries is carried out together with the vocabulary entry type-specific acoustic phonetic transcription in a combined step.
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1. A method for automatically generating a vocabulary entry from input acoustic data, said method comprising: performing, by a computer processor, a vocabulary entry type-specific acoustic phonetic transcription of the input acoustic data and a classification of vocabulary entry types based on phonetic structure, wherein the classification of vocabulary entries is carried out in accordance with a number of predetermined types; performing, by the computer processor, a vocabulary entry type-specific phoneme-to-grapheme conversion, to derive the respective vocabulary entries comprising a pair of the phonetic transcription of the input acoustic data and its grapheme form; and providing a select one of the vocabulary entries to a database for use in a speech processing application; wherein the classification of vocabulary entries is carried out together with the vocabulary entry type-specific acoustic phonetic transcription in a combined step. 2. The method according to claim 1 , wherein syllable language modeling is applied during vocabulary entry type-specific acoustic phonetic transcription.
| 0.624013 |
5. The method of claim 1 , wherein building the shared library includes: creating an annotation index source using a label that point to routines in the extracted routine file and a label address; and compiling the annotation index source and one or more extracted routine files into the shared library.
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5. The method of claim 1 , wherein building the shared library includes: creating an annotation index source using a label that point to routines in the extracted routine file and a label address; and compiling the annotation index source and one or more extracted routine files into the shared library. 6. The method of claim 5 , wherein creating the annotation index source includes: accessing an Executable and Linkable Format (ELF) symbol table from the application object file; and locating the label address with the ELF symbol table.
| 0.872315 |
1. A method comprising: obtaining, using one or more computing devices, context data for a current context of a self-driving vehicle; determining, using the one or more computing devices, a contextually-determined action for the self-driving vehicle based on the obtained context data and a reasoning model, wherein the reasoning model was determined based on multiple sets of training data, wherein the multiple sets of training data include multiple context data and action data pairings, and wherein determining the contextually-determined action for the self-driving vehicle comprises determining, using a premetric, closest context data in the multiple sets of training data that is closest to the current context based on the premetric and determining an action paired with the closest context data as the contextually-determined action for the self-driving vehicle, wherein the premetric is a Minkowski distance measure of order zero; determine, using the one or more computing devices, whether performance of the contextually-determined action results in an indication of an anomaly for the self-driving vehicle; determining, using the one or more computing devices, a portion of the reasoning model that caused the determination of the contextually-determined action that resulted in the indication of the anomaly for the self-driving vehicle based on the obtained context data; updating, using the one or more computing devices, the portion of the reasoning model that caused the determination of the contextually-determined action that resulted in the indication of the anomaly for the self-driving vehicle, in order to produce a corrected reasoning model; obtaining, using the one or more computing devices, subsequent contextual data for a second context for the self-driving vehicle; determining, using the one or more computing devices, a second contextually-determined action for the self-driving vehicle based on the obtained subsequent contextual data and the corrected reasoning model; and causing performance, using the one or more computing devices, of the second contextually-determined action for the self-driving vehicle.
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1. A method comprising: obtaining, using one or more computing devices, context data for a current context of a self-driving vehicle; determining, using the one or more computing devices, a contextually-determined action for the self-driving vehicle based on the obtained context data and a reasoning model, wherein the reasoning model was determined based on multiple sets of training data, wherein the multiple sets of training data include multiple context data and action data pairings, and wherein determining the contextually-determined action for the self-driving vehicle comprises determining, using a premetric, closest context data in the multiple sets of training data that is closest to the current context based on the premetric and determining an action paired with the closest context data as the contextually-determined action for the self-driving vehicle, wherein the premetric is a Minkowski distance measure of order zero; determine, using the one or more computing devices, whether performance of the contextually-determined action results in an indication of an anomaly for the self-driving vehicle; determining, using the one or more computing devices, a portion of the reasoning model that caused the determination of the contextually-determined action that resulted in the indication of the anomaly for the self-driving vehicle based on the obtained context data; updating, using the one or more computing devices, the portion of the reasoning model that caused the determination of the contextually-determined action that resulted in the indication of the anomaly for the self-driving vehicle, in order to produce a corrected reasoning model; obtaining, using the one or more computing devices, subsequent contextual data for a second context for the self-driving vehicle; determining, using the one or more computing devices, a second contextually-determined action for the self-driving vehicle based on the obtained subsequent contextual data and the corrected reasoning model; and causing performance, using the one or more computing devices, of the second contextually-determined action for the self-driving vehicle. 2. The method of claim 1 , wherein the reasoning model is a case-based reasoning model.
| 0.554437 |
1. A voice interactive system for responding to a voice inquiry from a user during a session between the user and the system, comprising: a combination of hardware and software configured to embody: a voice interactive unit for recognizing speech in the voice inquiry from the user and providing responses to the inquiry; a dialog history log for storing a record of a dialog between the voice interactive unit and the user; a dialog state diagram definition file for defining each expected dialog state for the session and information regarding at least display of a dialog state diagram; a dialog state determination model comprising information for estimating a current dialog state according to the dialog history log from a service start time to a current time; a dialog information analyzing unit, responsive to a determination by the voice interactive unit that it cannot provide a valid response to the voice inquiry from the user, for estimating the current dialog state between the user and the voice interactive unit based on the dialog history log and the dialog state determination model; and a dialog state display unit remote from the user for displaying the dialog state diagram, including a representation of each expected dialog state for the session, and further including a representation of at least one dialog state, other than a transition between dialog states, not yet entered during the session, according to the dialog state diagram definition file, and for visually presenting the current dialog state estimated by the dialog information analyzing unit on said dialog state diagram to an operator other than the user.
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1. A voice interactive system for responding to a voice inquiry from a user during a session between the user and the system, comprising: a combination of hardware and software configured to embody: a voice interactive unit for recognizing speech in the voice inquiry from the user and providing responses to the inquiry; a dialog history log for storing a record of a dialog between the voice interactive unit and the user; a dialog state diagram definition file for defining each expected dialog state for the session and information regarding at least display of a dialog state diagram; a dialog state determination model comprising information for estimating a current dialog state according to the dialog history log from a service start time to a current time; a dialog information analyzing unit, responsive to a determination by the voice interactive unit that it cannot provide a valid response to the voice inquiry from the user, for estimating the current dialog state between the user and the voice interactive unit based on the dialog history log and the dialog state determination model; and a dialog state display unit remote from the user for displaying the dialog state diagram, including a representation of each expected dialog state for the session, and further including a representation of at least one dialog state, other than a transition between dialog states, not yet entered during the session, according to the dialog state diagram definition file, and for visually presenting the current dialog state estimated by the dialog information analyzing unit on said dialog state diagram to an operator other than the user. 6. The voice interactive system according to claim 1 , wherein the dialog state display unit visually highlights the current dialog state estimated by the dialog information analyzing unit on the dialog state diagram.
| 0.615877 |
1. A method comprising: receiving a gesture from a user during a presentation of media content, wherein the gesture comprises a metadata request associated with the media content; selecting a piece of metadata for output, to yield selected metadata, the selected metadata being responsive to the metadata request regarding the primary media content; and outputting the selected metadata as synthetically generated speech, the synthetically generated speech having an accent selected from a plurality of accents based on the selected metadata.
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1. A method comprising: receiving a gesture from a user during a presentation of media content, wherein the gesture comprises a metadata request associated with the media content; selecting a piece of metadata for output, to yield selected metadata, the selected metadata being responsive to the metadata request regarding the primary media content; and outputting the selected metadata as synthetically generated speech, the synthetically generated speech having an accent selected from a plurality of accents based on the selected metadata. 2. The method of claim 1 , wherein the synthetically generated speech is output during the presentation of the media content.
| 0.883764 |
1. A method for managing a new continuous query that includes folding a new continuous query into a shared continuous query plan (SCP) associated with a global range table, the method comprising: receiving via a computer readable storage medium a new continuous query; compiling the new continuous query to generate an iterator model plan (IMP) and an associated local range table that includes a list of range variables, each of which uniquely identifies an object in the new continuous query, and wherein the IMP corresponds to an execution plan generated for the new continuous query and comprises one or more IMP operators, each of which includes one or more expressions whose variables are associated with the local range table; analyzing the one or more IMP operators of the IMP and one or more SCP operators of the SCP to produce one or more variable transforms and one or more plan items; wherein the one or more variable transforms modify the one or more expressions of the one or more IMP operators by associating the one or more IMP operators with variables of a global range table; wherein the one or more plan items comprise one or more groups of the one or more IMP operators; applying the variable transforms to modify the variables of the one or more iterator model plan IMP operators; generating a continuous query operator based on each plan item included in the one or more plan items; and providing the generated continuous query operator to a shared continuous query plan.
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1. A method for managing a new continuous query that includes folding a new continuous query into a shared continuous query plan (SCP) associated with a global range table, the method comprising: receiving via a computer readable storage medium a new continuous query; compiling the new continuous query to generate an iterator model plan (IMP) and an associated local range table that includes a list of range variables, each of which uniquely identifies an object in the new continuous query, and wherein the IMP corresponds to an execution plan generated for the new continuous query and comprises one or more IMP operators, each of which includes one or more expressions whose variables are associated with the local range table; analyzing the one or more IMP operators of the IMP and one or more SCP operators of the SCP to produce one or more variable transforms and one or more plan items; wherein the one or more variable transforms modify the one or more expressions of the one or more IMP operators by associating the one or more IMP operators with variables of a global range table; wherein the one or more plan items comprise one or more groups of the one or more IMP operators; applying the variable transforms to modify the variables of the one or more iterator model plan IMP operators; generating a continuous query operator based on each plan item included in the one or more plan items; and providing the generated continuous query operator to a shared continuous query plan. 9. The method according to claim 1 , further comprising producing for each plan item a new continuous query operator to be added to the shared continuous query plan based on an iterator model plan sub-plan.
| 0.542035 |
10. The system of claim 9 , the memory further storing: compare logic configured to compare the generated Bayesian probability value with a predefined threshold value.
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10. The system of claim 9 , the memory further storing: compare logic configured to compare the generated Bayesian probability value with a predefined threshold value. 12. The system of claim 10 , the memory further storing: spam-categorization logic configured to categorize the received email message as non-spam in response to the Bayesian probability value being not greater than the predefined threshold value.
| 0.912367 |
13. A non-transitory computer readable media having one or more-recordable media storing instructions thereon which, when executed by a system, cause the system to perform a method comprising: accessing header data from a multi-resolution codestream of compressed data of a first image; deriving one or more retrieval attributes solely from a bit distribution extracted from the header information; and performing image analysis based on the one or more retrieval attributes from the bit distribution extracted from header information, wherein the one or more retrieval attributes are non-image data that describe visual attributes of the first image, wherein the image analysis comprises similarity matching or clustering between the first image and a second image.
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13. A non-transitory computer readable media having one or more-recordable media storing instructions thereon which, when executed by a system, cause the system to perform a method comprising: accessing header data from a multi-resolution codestream of compressed data of a first image; deriving one or more retrieval attributes solely from a bit distribution extracted from the header information; and performing image analysis based on the one or more retrieval attributes from the bit distribution extracted from header information, wherein the one or more retrieval attributes are non-image data that describe visual attributes of the first image, wherein the image analysis comprises similarity matching or clustering between the first image and a second image. 16. The computer readable media defined in claim 13 wherein deriving one or more retrieval attributes comprises creating a first vector of the one or more retrieval attributes, and performing image analysis comprises comparing the first vector with a second vector of one or more retrieval attributes associated with the second image.
| 0.672426 |
9. The system of claim 6 , wherein the one or more script compilers are further configured to determine a function of the computational model based on one or more method descriptions.
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9. The system of claim 6 , wherein the one or more script compilers are further configured to determine a function of the computational model based on one or more method descriptions. 10. The system of claim 9 , wherein the one or more script compilers are further configured to determine a return value of the function of the computational model based on the one or more method descriptions.
| 0.951985 |
41. The system of claim 40 , wherein the ATC updates the coherent model using the spatial relationship.
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41. The system of claim 40 , wherein the ATC updates the coherent model using the spatial relationship. 42. The system of claim 41 , wherein the ATC defines an origin of the coherent model relative to a particular sensor of the plurality of sensors.
| 0.930648 |
11. One or more non-transitory computer-readable media storing computer-executable instructions that, when executed on one or more processors, cause the one or more processors to perform acts comprising: receiving a product record associated with a product, the product record comprising a description of the product; classifying the product based on the product record using a plurality of rule-based classifiers to generate a first ranked list of product types, including applying a whitelist rule and a blacklist rule to the product record to obtain the first ranked list of product types, wherein the whitelist rule defines that the product belongs to a first product type and the blacklist rule defines that the product does not belong to a second product type different from the first product type; classifying the product based on the product record using a plurality of attribute-based classifiers to generate a second ranked list of product types; combining the first ranked list of product types and the second ranked list of product types to generate a combined ranked list of product types; providing at least a portion of the combined ranked list of product types to a crowdsourcing computer network for evaluation; and returning, from the crowdsourcing computer network, a validation decision, wherein: when the crowdsourcing computer network determines that a type of the product is correct, the validation decision indicates that the type of the product is correct; when the crowdsourcinq computer network determines that the type of the product is not correct, the validation decision indicates that the type of the product is not correct; and when the crowdsourcing computer network determines that the description of the product is insufficient to accurately judge whether the type of the product is correct, the validation decision indicates that the type of the product is unclear.
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11. One or more non-transitory computer-readable media storing computer-executable instructions that, when executed on one or more processors, cause the one or more processors to perform acts comprising: receiving a product record associated with a product, the product record comprising a description of the product; classifying the product based on the product record using a plurality of rule-based classifiers to generate a first ranked list of product types, including applying a whitelist rule and a blacklist rule to the product record to obtain the first ranked list of product types, wherein the whitelist rule defines that the product belongs to a first product type and the blacklist rule defines that the product does not belong to a second product type different from the first product type; classifying the product based on the product record using a plurality of attribute-based classifiers to generate a second ranked list of product types; combining the first ranked list of product types and the second ranked list of product types to generate a combined ranked list of product types; providing at least a portion of the combined ranked list of product types to a crowdsourcing computer network for evaluation; and returning, from the crowdsourcing computer network, a validation decision, wherein: when the crowdsourcing computer network determines that a type of the product is correct, the validation decision indicates that the type of the product is correct; when the crowdsourcinq computer network determines that the type of the product is not correct, the validation decision indicates that the type of the product is not correct; and when the crowdsourcing computer network determines that the description of the product is insufficient to accurately judge whether the type of the product is correct, the validation decision indicates that the type of the product is unclear. 12. The one or more non-transitory computer-readable media of claim 11 , wherein the classifying of the product based on the product record using a plurality of rule-based classifiers to generate the first ranked list of product types comprises: applying an attribute value-based classification rule.
| 0.575136 |
2. The system of claim 1 , wherein the at least two metadata database adaptors include a regular metadata database adaptor and a master metadata database adaptor, wherein the regular metadata database adaptor contains a collection template manager module that manages collection, creation, modification, and deletion in its respective metadata database, and posts collection registration to the master metadata database adaptor.
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2. The system of claim 1 , wherein the at least two metadata database adaptors include a regular metadata database adaptor and a master metadata database adaptor, wherein the regular metadata database adaptor contains a collection template manager module that manages collection, creation, modification, and deletion in its respective metadata database, and posts collection registration to the master metadata database adaptor. 11. The system of claim 2 , wherein at least one of the adaptors includes one or more directory services, including at least one of an adaptor directory, a collection template directory, a schema directory, or a query template directory.
| 0.91692 |
1. A method for previewing documents on a computer system comprising the steps of: displaying a main document which contains a first hyperlink; displaying a first preview document, which is referred to by said first hyperlink, in response to an indication of said first hyperlink, whilst retaining said display of the main document, wherein said first preview document contains a second hyperlink; displaying a second preview document, which is referred to by said second hyperlink, in response to an indication of said second hyperlink whilst retaining said display of said first preview document and said display of said main document, wherein indicating each hyperlink to the computer system by positioning a pointer over the hyperlink; wherein each preview document is opened in a corresponding preview window, wherein when each preview document is opened, the pointer automatically moves to within the newly opened preview window, wherein said first preview document window remains open as long as the pointer remains in said second preview document window or a window corresponding to a subsequent preview document derived via a subsequent hyperlink in said second preview document, wherein when the pointer is moved from the second preview document window to the first preview document window, the second preview document window closes, wherein when the pointer is moved to a region not in said first preview document window or said second preview document window, or a window corresponding to a subsequent preview document derived via a subsequent hyperlink in said second preview document, both the first and second preview document windows close.
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1. A method for previewing documents on a computer system comprising the steps of: displaying a main document which contains a first hyperlink; displaying a first preview document, which is referred to by said first hyperlink, in response to an indication of said first hyperlink, whilst retaining said display of the main document, wherein said first preview document contains a second hyperlink; displaying a second preview document, which is referred to by said second hyperlink, in response to an indication of said second hyperlink whilst retaining said display of said first preview document and said display of said main document, wherein indicating each hyperlink to the computer system by positioning a pointer over the hyperlink; wherein each preview document is opened in a corresponding preview window, wherein when each preview document is opened, the pointer automatically moves to within the newly opened preview window, wherein said first preview document window remains open as long as the pointer remains in said second preview document window or a window corresponding to a subsequent preview document derived via a subsequent hyperlink in said second preview document, wherein when the pointer is moved from the second preview document window to the first preview document window, the second preview document window closes, wherein when the pointer is moved to a region not in said first preview document window or said second preview document window, or a window corresponding to a subsequent preview document derived via a subsequent hyperlink in said second preview document, both the first and second preview document windows close. 9. A method according to claim 1 wherein the second hyperlink is indicated to the computer system by positioning the pointer over the second hyperlink.
| 0.535654 |
11. A computer program product being tangibly embodied in a nontransitory computer readable medium and including computer-executable code for enhancing an electronic document including at least one advertisement portion and at least one other advertising or content portion, the at least one advertisement portion being automatically selected for dynamic incorporation into the at least one electronic document when served via a network substantially contemporaneously with the electronic document responsively to a request received via the network from a user's computing device and being correspondent to the electronic document, the computer program product computer-executable code comprising: code for identifying an identifier associated with the at least one advertisement portion of the electronic document responsively to the correspondent request for or serving of the electronic document; code for serving the identified identifier contemporaneously with the electronic document and separate from the advertisement portion, wherein the served identifier forms at least a part of a link incorporated with the electronic document when the served electronic document is displayed; and code for causing a chat application to be instantiated responsively to receiving a second request via the network and corresponding to the served electronic document incorporated link; code for automatically identifying at least one preference associated with the identified identifier; code for automatically sending, in response to receiving the second request, a Short Message Service (“SMS”) message including a mobile chat link indicative of the received second request in a first mode, wherein the first mode corresponds to the at least one identified preference indicating an SMS messaging preference; code for automatically sending, in response to receiving the second request, an e-mail message including a personal computer chat link indicative of the received second request in a second mode, wherein the second mode corresponds to the at least one identified preference indicating an e-mail messaging preference; wherein the instantiated chat application is displayed via the user's computing device without a client chat application being executed by the user's computing device; and wherein the instantiated chat application is displayed with the electronic document such that the chat application is superimposed over substantially only the at least one advertisement portion of the served electronic document, without substantial display superimposed over areas outside of the at least one advertisement portion.
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11. A computer program product being tangibly embodied in a nontransitory computer readable medium and including computer-executable code for enhancing an electronic document including at least one advertisement portion and at least one other advertising or content portion, the at least one advertisement portion being automatically selected for dynamic incorporation into the at least one electronic document when served via a network substantially contemporaneously with the electronic document responsively to a request received via the network from a user's computing device and being correspondent to the electronic document, the computer program product computer-executable code comprising: code for identifying an identifier associated with the at least one advertisement portion of the electronic document responsively to the correspondent request for or serving of the electronic document; code for serving the identified identifier contemporaneously with the electronic document and separate from the advertisement portion, wherein the served identifier forms at least a part of a link incorporated with the electronic document when the served electronic document is displayed; and code for causing a chat application to be instantiated responsively to receiving a second request via the network and corresponding to the served electronic document incorporated link; code for automatically identifying at least one preference associated with the identified identifier; code for automatically sending, in response to receiving the second request, a Short Message Service (“SMS”) message including a mobile chat link indicative of the received second request in a first mode, wherein the first mode corresponds to the at least one identified preference indicating an SMS messaging preference; code for automatically sending, in response to receiving the second request, an e-mail message including a personal computer chat link indicative of the received second request in a second mode, wherein the second mode corresponds to the at least one identified preference indicating an e-mail messaging preference; wherein the instantiated chat application is displayed via the user's computing device without a client chat application being executed by the user's computing device; and wherein the instantiated chat application is displayed with the electronic document such that the chat application is superimposed over substantially only the at least one advertisement portion of the served electronic document, without substantial display superimposed over areas outside of the at least one advertisement portion. 13. The computer program product of claim 11 , wherein the electronic document is displayed in a first window, and the chat application is instantiated in a second window.
| 0.548906 |
1. A server apparatus, comprising: a communicator configured to receive a text which corresponds to a voice signal; and a controller configured to, in response to a keyword, which corresponds to the text, not existing from among at least one keyword included in a mapping table, search for content information belonging to a content genre mapped with a synonym of the text, provide a search result to a display apparatus through the communicator, and update the mapping table by adding the synonym as the keyword, wherein the mapping table is a table in which the at least one keyword, at least one content genre, and at least one priority score in combination are mapped, and wherein the controller, in response to a plurality of content genres being mapped with respect to the synonym, selects at least one content genre according to a priority determined with respect to the plurality of content genres, and searches for content information belonging to the selected at least one content genre.
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1. A server apparatus, comprising: a communicator configured to receive a text which corresponds to a voice signal; and a controller configured to, in response to a keyword, which corresponds to the text, not existing from among at least one keyword included in a mapping table, search for content information belonging to a content genre mapped with a synonym of the text, provide a search result to a display apparatus through the communicator, and update the mapping table by adding the synonym as the keyword, wherein the mapping table is a table in which the at least one keyword, at least one content genre, and at least one priority score in combination are mapped, and wherein the controller, in response to a plurality of content genres being mapped with respect to the synonym, selects at least one content genre according to a priority determined with respect to the plurality of content genres, and searches for content information belonging to the selected at least one content genre. 4. The apparatus as claimed in claim 1 , wherein the mapping table is a mapping table which is individually generated and stored for a plurality of pre-registered users, wherein the controller receives via the display apparatus user information which inputs the voice signal, and searches for the content information based on the mapping table which corresponds to the user information.
| 0.680165 |
5. A system for editing handwritten data comprising: a pen enabled computing device having a memory element, a writing surface, and a writing stylus selectively communicable with the writing surface; and a computer program product executing within said pen enabled computing device and cooperating therewith for: detecting a position and a movement of the writing stylus with respect to the writing surface to form a handwritten input; automatically defining a bounding box encompassing at least a portion of each stroke of the handwritten input, wherein a size of the bounding box is based on the position and the movement of the writing stylus; storing the handwritten input and the bounding box encompassing at least a portion of each stroke thereof; and editing the handwritten input to at least one of add textual data to the handwritten input, insert data between strokes encompassed by adjacent bounding boxes, delete at least one stroke encompassed by a bounding box, and replace at least one stroke encompassed by a bounding box with alternate textual data.
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5. A system for editing handwritten data comprising: a pen enabled computing device having a memory element, a writing surface, and a writing stylus selectively communicable with the writing surface; and a computer program product executing within said pen enabled computing device and cooperating therewith for: detecting a position and a movement of the writing stylus with respect to the writing surface to form a handwritten input; automatically defining a bounding box encompassing at least a portion of each stroke of the handwritten input, wherein a size of the bounding box is based on the position and the movement of the writing stylus; storing the handwritten input and the bounding box encompassing at least a portion of each stroke thereof; and editing the handwritten input to at least one of add textual data to the handwritten input, insert data between strokes encompassed by adjacent bounding boxes, delete at least one stroke encompassed by a bounding box, and replace at least one stroke encompassed by a bounding box with alternate textual data. 6. A system according to claim 5 wherein said computer program product samples the motion of the writing stylus with respect to the writing surface so as to form a coordinate representation of each stroke of the handwritten input.
| 0.5 |
2. The method of claim 1 , wherein the first language format comprises a first character set, and the second language format comprises a different, second character set.
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2. The method of claim 1 , wherein the first language format comprises a first character set, and the second language format comprises a different, second character set. 3. The method of claim 2 , wherein the first language format is romaji, romaja, or pinyin; and wherein the second character set is katakana, hiragana, kanji, hangul, hanja, or traditional Chinese characters.
| 0.958681 |
1. A data processing method comprising: inviting a distributed plurality of researchers to participate in one or more computer vulnerability research projects directed to identifying computer vulnerabilities of one or more networks and/or computers that are owned or operated by a third party, wherein a first computing device and a second computing device are associated with different researchers respectively among the plurality of researchers; determining a respective expertise of the researchers of the distributed plurality of researchers; publishing, by a computer, to researchers having the respective expertise of the distributed plurality of researchers, a taxonomy of potential computer vulnerabilities, wherein each particular computer vulnerability in the taxonomy is associated with a range of award values; monitoring by the computer that is communicatively coupled to the first computing device associated with a particular researcher of the distributed plurality of researchers and a network under test among the one or more networks and/or computers, communications between the particular researcher and the particular network under test, wherein the communications relate to attempting to identify a candidate security vulnerability of the particular network under test; in response to a report of the candidate security vulnerability of the particular network under test that is received from the particular researcher, and based upon the taxonomy, determining and providing, by the computer, a particular award value to the particular researcher.
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1. A data processing method comprising: inviting a distributed plurality of researchers to participate in one or more computer vulnerability research projects directed to identifying computer vulnerabilities of one or more networks and/or computers that are owned or operated by a third party, wherein a first computing device and a second computing device are associated with different researchers respectively among the plurality of researchers; determining a respective expertise of the researchers of the distributed plurality of researchers; publishing, by a computer, to researchers having the respective expertise of the distributed plurality of researchers, a taxonomy of potential computer vulnerabilities, wherein each particular computer vulnerability in the taxonomy is associated with a range of award values; monitoring by the computer that is communicatively coupled to the first computing device associated with a particular researcher of the distributed plurality of researchers and a network under test among the one or more networks and/or computers, communications between the particular researcher and the particular network under test, wherein the communications relate to attempting to identify a candidate security vulnerability of the particular network under test; in response to a report of the candidate security vulnerability of the particular network under test that is received from the particular researcher, and based upon the taxonomy, determining and providing, by the computer, a particular award value to the particular researcher. 3. The method of claim 1 comprising: determining a vulnerability score for the candidate security vulnerability of the particular network under test that is received from the particular researcher, wherein the vulnerability score indicates a relative importance of the candidate security vulnerability; mapping the vulnerability score to a particular award that is within a range of a minimum award value and a maximum award value that are associated in the taxonomy with an identifier of the candidate security vulnerability; based upon the mapping, determining and providing the particular award.
| 0.687687 |
1. A method, comprising: detecting, at a touch surface, at least two points of contact of a hand of a user: identifying, based on a configuration of the at least two points of contact, a contact signature, wherein the contact signature identifies an input provided by the user as handwriting input and is used to identify the user providing the input, wherein the identifying the contact signature comprises identifying a contact position and size associated with each of the at least two points of contact and identifying a distance between each of the at least two points of contact; and displaying, on a display screen, the handwriting input, wherein the handwriting input is identified as being input at a location relative to the at least two points of contact of the hand of the user.
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1. A method, comprising: detecting, at a touch surface, at least two points of contact of a hand of a user: identifying, based on a configuration of the at least two points of contact, a contact signature, wherein the contact signature identifies an input provided by the user as handwriting input and is used to identify the user providing the input, wherein the identifying the contact signature comprises identifying a contact position and size associated with each of the at least two points of contact and identifying a distance between each of the at least two points of contact; and displaying, on a display screen, the handwriting input, wherein the handwriting input is identified as being input at a location relative to the at least two points of contact of the hand of the user. 4. The method of claim 1 , further comprising displaying, on the touch surface, a graphic depicting a writing utensil at the location of the handwriting input.
| 0.868852 |
14. A non-transitory computer readable storage medium configured to store instructions that when executed cause a processor to perform: transcribing via a processor a plurality of spoken utterances occurring during a call; assigning each of the plurality of spoken utterances with a corresponding set of classifications; determining a confidence rating associated with each of the plurality of spoken utterances and the assigned set of classifications; and performing at least one of reclassifying the plurality of spoken utterances with new classifications based on at least one additional classification operation, and adding the assigned classifications and the corresponding plurality of spoken utterances to a training data set.
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14. A non-transitory computer readable storage medium configured to store instructions that when executed cause a processor to perform: transcribing via a processor a plurality of spoken utterances occurring during a call; assigning each of the plurality of spoken utterances with a corresponding set of classifications; determining a confidence rating associated with each of the plurality of spoken utterances and the assigned set of classifications; and performing at least one of reclassifying the plurality of spoken utterances with new classifications based on at least one additional classification operation, and adding the assigned classifications and the corresponding plurality of spoken utterances to a training data set. 17. The non-transitory computer readable storage medium of claim 14 , wherein if the determining the confidence rating associated with each of the plurality of spoken utterances produces confidence ratings that are above a predefined threshold then adding the labeled plurality of spoken utterances to the training data set.
| 0.732841 |
32. The electronic device of claim 24 , wherein the contextual information comprises a location of the electronic device when the electronic device is recording the at least a portion of the voice command.
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32. The electronic device of claim 24 , wherein the contextual information comprises a location of the electronic device when the electronic device is recording the at least a portion of the voice command. 33. The electronic device of claim 32 , wherein the electronic device further comprises a location sensor, and wherein the location of the electronic device is received from the location sensor.
| 0.876549 |
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