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12. In the document structure of claim 11 and wherein: the attribute sequentially includes (1) means for identifying the type and start of the attribute; (2) the portion of the string; and (3) means for identifying the type and end of the attribute. | 12. In the document structure of claim 11 and wherein: the attribute sequentially includes (1) means for identifying the type and start of the attribute; (2) the portion of the string; and (3) means for identifying the type and end of the attribute. 13. In the document structure of claim 12 and wherein: the means for identifying the type and start of the attribute are a start attribute code and an attribute type identifier code in sequence; the means for identifying the type and end of the attribute are an end attribute code and the attribute type identifier code in sequence; and the means for representing the contents of the attribute is a sequence of text codes. | 0.884564 |
7. The system of claim 6 , wherein the initiating query coordinator aggregates query results from the query execution engines and provides the aggregated query results to the client. | 7. The system of claim 6 , wherein the initiating query coordinator aggregates query results from the query execution engines and provides the aggregated query results to the client. 8. The system of claim 7 , wherein prior to sending the query results to the initiating query coordinator, intermediate query results are streamed between the query execution engines for pre-aggregation. | 0.925244 |
3. A method as set forth in claim 1 wherein: the step of the computer initiating the electronic key-word search comprises the steps of the computer requesting a database manager to search through a structured database with search terms based on the meanings of the displayed icons, and in response, the database manager changing one of the search terms which was based on the meanings of the displayed icons to conform to a structure of the structured database, and conducting the electronic search through the structured database with the changed search term; and further comprising the steps of: subsequent to the step of the database manager conducting the electronic search through the structured database with the changed search term, the computer automatically generating a graphical representation of a search query used by the database manager to conduct the electronic search through the structured database with the changed search term; and the computer automatically determining if the graphical representation of the search query used by the database manager to conduct the search through the structured database with the changed term complies with meanings, intended by the user, of the displayed key-word search terms. | 3. A method as set forth in claim 1 wherein: the step of the computer initiating the electronic key-word search comprises the steps of the computer requesting a database manager to search through a structured database with search terms based on the meanings of the displayed icons, and in response, the database manager changing one of the search terms which was based on the meanings of the displayed icons to conform to a structure of the structured database, and conducting the electronic search through the structured database with the changed search term; and further comprising the steps of: subsequent to the step of the database manager conducting the electronic search through the structured database with the changed search term, the computer automatically generating a graphical representation of a search query used by the database manager to conduct the electronic search through the structured database with the changed search term; and the computer automatically determining if the graphical representation of the search query used by the database manager to conduct the search through the structured database with the changed term complies with meanings, intended by the user, of the displayed key-word search terms. 4. The method of claim 3 further comprising the steps of: subsequent to the step of the database manager conducting the electronic search through the structured database with the changed search term, the computer automatically generating a graphical representation of a search query used by the database manager to conduct the electronic search through the structured database with the changed search term; and the computer automatically determining if the graphical representation of the search query used by the database manager to conduct the search through the structured database with the changed term complies with meanings, intended by the user, of the displayed key-word search terms. | 0.862281 |
9. A user-interactive automatic translation method for a mobile device, comprising: capturing an image of an object using a camera; converting the image of the object to a digital image; user-interactively selecting a character string region to be translated from the digital image; performing a character recognition on the selected character string region based on an optical character reader (OCR) and character recognition information stored in a character recognition information DB to generate a text string; user-interactively correcting errors included in the text string; and performing a morpheme analysis, tagging, a structure analysis, a structure conversion, and a vocabulary conversion on the error-corrected text string to generate a translation of the text string based on a grammar of a target language, wherein the morpheme analysis, the tagging, the structure analysis, the structure conversion, the vocabulary conversion and the translation generation are performed based on information for translation stored in an automatic translation information DB, wherein user-interactively correcting errors includes: providing a user with a user interface so that the user selects the character string region from the digital image; performing a character recognition on the selected character string region based on an OCR function and the character recognition information stored in the character recognition information DB; converting the character-recognized character string into a standard text string; displaying the standard text string on a display window through the user interface; and correcting the text string through the user interface, and wherein displaying the standard text string includes displaying recognition candidates for an erroneous optimum word recognition candidate to correct the erroneous optimum word recognition candidate such that the recognition candidates are displayed downward under the optimum word recognition candidate in the order from a high weight value to a low weight value, each recognition candidate being enclosed in a rectangle. | 9. A user-interactive automatic translation method for a mobile device, comprising: capturing an image of an object using a camera; converting the image of the object to a digital image; user-interactively selecting a character string region to be translated from the digital image; performing a character recognition on the selected character string region based on an optical character reader (OCR) and character recognition information stored in a character recognition information DB to generate a text string; user-interactively correcting errors included in the text string; and performing a morpheme analysis, tagging, a structure analysis, a structure conversion, and a vocabulary conversion on the error-corrected text string to generate a translation of the text string based on a grammar of a target language, wherein the morpheme analysis, the tagging, the structure analysis, the structure conversion, the vocabulary conversion and the translation generation are performed based on information for translation stored in an automatic translation information DB, wherein user-interactively correcting errors includes: providing a user with a user interface so that the user selects the character string region from the digital image; performing a character recognition on the selected character string region based on an OCR function and the character recognition information stored in the character recognition information DB; converting the character-recognized character string into a standard text string; displaying the standard text string on a display window through the user interface; and correcting the text string through the user interface, and wherein displaying the standard text string includes displaying recognition candidates for an erroneous optimum word recognition candidate to correct the erroneous optimum word recognition candidate such that the recognition candidates are displayed downward under the optimum word recognition candidate in the order from a high weight value to a low weight value, each recognition candidate being enclosed in a rectangle. 12. The user-interactive automatic translation method for a mobile device of claim 9 , wherein said converting the character-recognized character string includes converting the optimum word recognition candidates for the character string and the recognition candidates for the optimum word recognition candidates into a standard text string. | 0.741053 |
11. A system to integrate a command shell of a program into a graphical user interface (GUI), the command shell for executing commands in a working directory and providing text-based output responses generated in response to executing the commands, said system comprising: at least one storage device storing code instructions; and a processor, wherein the code instructions, which when executed by the processor, cause the processor: to provide a command pane and an output pane in the GUI on a display, the command pane including a command line for a user to enter a shell command to be run in a command shell environment and the output pane including an area in which an output response to the shell command is displayed; to enable a user to enter a shell command at the command line for execution, to display, in the output pane, a text-based path indication of a current working directory and a text-based indication of the shell command entered at the command line; to listen, by a standard output listener and a standard error listener for a text-based output response generated by the execution of the shell command, the standard error listener for listening for the text-based output response on a standard error output stream of the command shell environment and the standard output listener for listening for the text-based output response on a standard output stream of the command shell environment; to retrieve the text of the shell command and determining a type of command from among a plurality of types of commands within the text of the shell command, responsive to detecting by at least one of the standard output listener and the standard error listener that at least one of the standard error output stream and the standard output stream comprises the text-based output response; to retrieve by at least one of the standard output listener and the standard error listener the text-based output response from at least one of the standard error output stream and the standard output stream, in response to the execution of the shell command, the text-based output response including at least one line of text; to interpret the at least one line of text based on a particular pattern specified for the type of command and in response to the text-based output response matching a file type within the particular pattern, classifying the at least one line of text with at least one file type attribute and extracting at least one portion of the at least one line of text mapped to at least one file as at least one file attribute; to create at least one output object for the at least one line of text populated with at least one model object for the GUI that maps to the at least one file attribute in the current working directory, responsive to the at least one line of text being classified with the file type attribute; to create the at least one output object for the at least one line of text populated with at least one generic object, responsive to the at least one line of text not being classified with the file type attribute; to display at least one icon and the at least one line of text associated with the at least one output object in the output pane; and to display a menu comprising at least one selectable option, each at least one selectable option associated with at least one action for performing on the at least one output object associated with a selected at least one icon, responsive to a user selecting the at least one icon by pointing a pointer on the at least one icon in the output pane. | 11. A system to integrate a command shell of a program into a graphical user interface (GUI), the command shell for executing commands in a working directory and providing text-based output responses generated in response to executing the commands, said system comprising: at least one storage device storing code instructions; and a processor, wherein the code instructions, which when executed by the processor, cause the processor: to provide a command pane and an output pane in the GUI on a display, the command pane including a command line for a user to enter a shell command to be run in a command shell environment and the output pane including an area in which an output response to the shell command is displayed; to enable a user to enter a shell command at the command line for execution, to display, in the output pane, a text-based path indication of a current working directory and a text-based indication of the shell command entered at the command line; to listen, by a standard output listener and a standard error listener for a text-based output response generated by the execution of the shell command, the standard error listener for listening for the text-based output response on a standard error output stream of the command shell environment and the standard output listener for listening for the text-based output response on a standard output stream of the command shell environment; to retrieve the text of the shell command and determining a type of command from among a plurality of types of commands within the text of the shell command, responsive to detecting by at least one of the standard output listener and the standard error listener that at least one of the standard error output stream and the standard output stream comprises the text-based output response; to retrieve by at least one of the standard output listener and the standard error listener the text-based output response from at least one of the standard error output stream and the standard output stream, in response to the execution of the shell command, the text-based output response including at least one line of text; to interpret the at least one line of text based on a particular pattern specified for the type of command and in response to the text-based output response matching a file type within the particular pattern, classifying the at least one line of text with at least one file type attribute and extracting at least one portion of the at least one line of text mapped to at least one file as at least one file attribute; to create at least one output object for the at least one line of text populated with at least one model object for the GUI that maps to the at least one file attribute in the current working directory, responsive to the at least one line of text being classified with the file type attribute; to create the at least one output object for the at least one line of text populated with at least one generic object, responsive to the at least one line of text not being classified with the file type attribute; to display at least one icon and the at least one line of text associated with the at least one output object in the output pane; and to display a menu comprising at least one selectable option, each at least one selectable option associated with at least one action for performing on the at least one output object associated with a selected at least one icon, responsive to a user selecting the at least one icon by pointing a pointer on the at least one icon in the output pane. 13. The system claimed in claim 11 , wherein the code instructions to interpret the at least one line of text based on a particular pattern specified for the type of command, further comprise: code instructions responsive to the text-based output response matching a search type or compile type within a separate pattern for the search or compile type of command from among the plurality of types of commands, to extract at least one portion of the at least one line of text representing at least one of a file name and a line number and storing the file name as a file name attribute and the line number as a line number attribute; and wherein the code instructions to create the at least one output object for the at least one line of text populated with at least one generic object further comprises: code instructions to store at least one of the file name attribute and the line number attribute to the at least one output object. | 0.614612 |
2. The system of claim 1 , wherein the coherent model includes spatial relationships between the plurality of objects. | 2. The system of claim 1 , wherein the coherent model includes spatial relationships between the plurality of objects. 3. The system of claim 2 , wherein the coherent model includes at least one of location, orientation, and motion of the plurality of objects. | 0.92608 |
1. A method of operating a mobile communication device, said method comprising: over a wireless messaging channel receiving a text message, wherein the text message contains a non-text representation of an utterance; extracting the non-text representation from the text message; synthesizing an audio representation of the spoken utterance from the non-text representation; and playing the synthesized audio representation through an audio output device on the mobile communication device. | 1. A method of operating a mobile communication device, said method comprising: over a wireless messaging channel receiving a text message, wherein the text message contains a non-text representation of an utterance; extracting the non-text representation from the text message; synthesizing an audio representation of the spoken utterance from the non-text representation; and playing the synthesized audio representation through an audio output device on the mobile communication device. 3. The method of claim 1 , wherein the non-text representation of the utterance is a string of symbols representing sounds of the utterance. | 0.792549 |
1. A computer-implemented method for enabling content providers to provide targeted content to users, the method comprising: generating a database that maps specific IP addresses to specific behavioral segments, said mapping derived from behavioral data collected from each of a plurality of Internet Service Providers (ISP), said behavioral data including information collected by the ISPs regarding Internet access activities of their respective subscribers, said behavioral segments reflecting subscriber interests; and providing content providers access to the database via a query interface, said query interface configured to receive a request that identifies an IP address, and to look up from the database and return information identifying one or more behavioral segments corresponding to the IP address, wherein the query interface is further configured to return the information by at least: determining whether the IP address can be mapped to a subscriber-specific behavioral segment that is specific to, and based on Internet access activity of, an ISP subscriber associated with the IP address; when the IP address can be mapped to said subscriber-specific behavioral segment, returning, via the query interface and in response to the request, an identifier of the subscriber-specific behavioral segment and when the IP address cannot be mapped to a subscriber-specific behavioral segment, returning, via the query interface and in response to the request, an identifier of a region-specific segment that reflects user preferences associated with a geographic region corresponding to the IP address, wherein the method is performed by a computing system comprising one or more computing devices. | 1. A computer-implemented method for enabling content providers to provide targeted content to users, the method comprising: generating a database that maps specific IP addresses to specific behavioral segments, said mapping derived from behavioral data collected from each of a plurality of Internet Service Providers (ISP), said behavioral data including information collected by the ISPs regarding Internet access activities of their respective subscribers, said behavioral segments reflecting subscriber interests; and providing content providers access to the database via a query interface, said query interface configured to receive a request that identifies an IP address, and to look up from the database and return information identifying one or more behavioral segments corresponding to the IP address, wherein the query interface is further configured to return the information by at least: determining whether the IP address can be mapped to a subscriber-specific behavioral segment that is specific to, and based on Internet access activity of, an ISP subscriber associated with the IP address; when the IP address can be mapped to said subscriber-specific behavioral segment, returning, via the query interface and in response to the request, an identifier of the subscriber-specific behavioral segment and when the IP address cannot be mapped to a subscriber-specific behavioral segment, returning, via the query interface and in response to the request, an identifier of a region-specific segment that reflects user preferences associated with a geographic region corresponding to the IP address, wherein the method is performed by a computing system comprising one or more computing devices. 4. The method of claim 1 , wherein the specific IP addresses are additionally mapped to subscriber demographic data collected by said ISPs, and wherein demographic data mapped to the IP address is returned, in addition to the information identifying one or more behavioral segments corresponding to the IP address, in response to said request received via said query interface. | 0.578947 |
1. A method of providing information assistance to a wireless terminal, comprising the steps of: receiving, from a wireless terminal operated by a requestor, a contact information request with an information assistance application located on an information assistance server, wherein the contact information request is a request for contact information of a user of a subscriber terminal that is other than the wireless terminal; querying a participating communication provider database of a communication provider providing communication services to the wireless terminal to identify a virtual key of the requestor from unique information of the wireless terminal included with the contact information request, the virtual key being a universal anonymous identifier of the requestor that is shared among a plurality of different participating businesses; accessing a consumer internal profile database containing verification data of the requestor and proprietary information of the requestor with the virtual key of the requestor, the verification data providing verification of consent by the requestor of release and use of the proprietary information of the requestor; accessing permissions of the user of the subscriber terminal with the information assistance application to determine if the contact information request should be automatically denied categorically or specifically, based on the proprietary information of the requestor obtained from the consumer internal profile database with the virtual key of the requestor; determining a contact preference for how to contact the subscriber terminal about the received contact information request with the information assistance application only when the information request is determined as not being automatically denied; generating an authorization request to request permission from the subscriber terminal to provide the contact information of the user of the subscriber terminal to the wireless terminal, wherein the authorization request includes an indication of an identity of the requestor based on the proprietary information of the requestor; transmitting the authorization request to the subscriber terminal in accordance with the determined contact preference; receiving a reply from the subscriber terminal indicative of whether or not the requested information record is permitted to be provided to the wireless terminal; accessing the consumer internal profile database to determine pre-determined contact parameters of the requestor based on the virtual key of the requestor; and generating a response for transmittal to the wireless terminal when the reply is indicative of permission to proceed with provision of the requested contact information of the user to the wireless terminal, the response including only contact information identified by the user of the subscriber terminal as permissible to send to the wireless terminal, the response generated in accordance with the format preferences of the requestor. | 1. A method of providing information assistance to a wireless terminal, comprising the steps of: receiving, from a wireless terminal operated by a requestor, a contact information request with an information assistance application located on an information assistance server, wherein the contact information request is a request for contact information of a user of a subscriber terminal that is other than the wireless terminal; querying a participating communication provider database of a communication provider providing communication services to the wireless terminal to identify a virtual key of the requestor from unique information of the wireless terminal included with the contact information request, the virtual key being a universal anonymous identifier of the requestor that is shared among a plurality of different participating businesses; accessing a consumer internal profile database containing verification data of the requestor and proprietary information of the requestor with the virtual key of the requestor, the verification data providing verification of consent by the requestor of release and use of the proprietary information of the requestor; accessing permissions of the user of the subscriber terminal with the information assistance application to determine if the contact information request should be automatically denied categorically or specifically, based on the proprietary information of the requestor obtained from the consumer internal profile database with the virtual key of the requestor; determining a contact preference for how to contact the subscriber terminal about the received contact information request with the information assistance application only when the information request is determined as not being automatically denied; generating an authorization request to request permission from the subscriber terminal to provide the contact information of the user of the subscriber terminal to the wireless terminal, wherein the authorization request includes an indication of an identity of the requestor based on the proprietary information of the requestor; transmitting the authorization request to the subscriber terminal in accordance with the determined contact preference; receiving a reply from the subscriber terminal indicative of whether or not the requested information record is permitted to be provided to the wireless terminal; accessing the consumer internal profile database to determine pre-determined contact parameters of the requestor based on the virtual key of the requestor; and generating a response for transmittal to the wireless terminal when the reply is indicative of permission to proceed with provision of the requested contact information of the user to the wireless terminal, the response including only contact information identified by the user of the subscriber terminal as permissible to send to the wireless terminal, the response generated in accordance with the format preferences of the requestor. 17. The method of claim 1 , wherein generating an authorization request comprises including a response mechanism in the authorization request that enables approval or disapproval of the request for the contact information and indication of information to be provided from the contact information. | 0.568395 |
7. A system comprising: a processor; and a computer-readable storage device having instructions stored which, when executed by the processor, cause the processor to perform operations comprising: receiving unconstrained input speech from a user; converting, via a processor, only the unconstrained input speech corresponding to single digits into a string of words, wherein each word in the string of words is modeled using a three segment structure comprising a plurality of heads and a plurality of tails; converting the string of words into a sequence of digits using classes of rules and according to an acoustic model database in which Markov models characterize acoustic features of numeric words; comparing the sequence of digits to a plurality of valid sequences of digits, to yield validity information; and providing the validity information to a device associated with the user. | 7. A system comprising: a processor; and a computer-readable storage device having instructions stored which, when executed by the processor, cause the processor to perform operations comprising: receiving unconstrained input speech from a user; converting, via a processor, only the unconstrained input speech corresponding to single digits into a string of words, wherein each word in the string of words is modeled using a three segment structure comprising a plurality of heads and a plurality of tails; converting the string of words into a sequence of digits using classes of rules and according to an acoustic model database in which Markov models characterize acoustic features of numeric words; comparing the sequence of digits to a plurality of valid sequences of digits, to yield validity information; and providing the validity information to a device associated with the user. 12. The system of claim 7 , wherein the classes of rules varies depending upon one of a city and a country. | 0.706499 |
19. A server system for dynamically supplementing web pages of web sites, the system comprising: a content server that serves content in response to requests from browsers running on user computing devices, including supplemental content that is adapted for display in web pages that are served by sources other than the content server, said content server comprising computer hardware; and a repository of update handler code that is adapted to be transmitted to, and executed by, the browsers in connection with the web pages; wherein the update handler code, when executed as part of a web page loaded by a browser running on a user computing device, is operative to cause the browser to (a) analyze content of the web page loaded by the browser to detect that the web page includes a link that matches a predefined link signature of a catalog page, and to obtain, from said link, an identifier of a product, (b) retrieve supplemental content associated with the product from the content server, and (c) supplement the web page with the supplemental content associated with the product, said supplemental content including catalog content associated with the product. | 19. A server system for dynamically supplementing web pages of web sites, the system comprising: a content server that serves content in response to requests from browsers running on user computing devices, including supplemental content that is adapted for display in web pages that are served by sources other than the content server, said content server comprising computer hardware; and a repository of update handler code that is adapted to be transmitted to, and executed by, the browsers in connection with the web pages; wherein the update handler code, when executed as part of a web page loaded by a browser running on a user computing device, is operative to cause the browser to (a) analyze content of the web page loaded by the browser to detect that the web page includes a link that matches a predefined link signature of a catalog page, and to obtain, from said link, an identifier of a product, (b) retrieve supplemental content associated with the product from the content server, and (c) supplement the web page with the supplemental content associated with the product, said supplemental content including catalog content associated with the product. 26. The system of claim 19 , wherein the pre-specified link signature is a product detail page link signature associated with an electronic catalog of products. | 0.581584 |
1. A method comprising: presenting, by a system comprising a processor and to equipment of a first user, a ranked list of translation possibilities in a first order, and a list of alternative translation possibilities, wherein the ranked list of translation possibilities and the list of alternative translation possibilities comprise machine translations of a source text in an original language distinct from the machine translations, wherein the ranked list of translation possibilities and the list of alternative translation possibilities are contemporaneously presented to equipment of a second user, allowing the first user and the second user to participate in a collaborative translation of the source text; detecting, by the system, an input from the equipment of the first user, the input identifying a translation possibility from the list of alternative translation possibilities; re-ranking, by the system, the ranked list of translation possibilities in the first order based on the input, to yield a re-ranked list of translation possibilities in a second order; providing, by the system, the re-ranked list of translation possibilities to the equipment of the first user; and facilitating a transfer, by the system, of the re-ranked list of translation possibilities to the equipment of the second user for display, wherein the re-ranked list of translation possibilities is presented contemporaneously to both the equipment of the first user and the equipment of the second user. | 1. A method comprising: presenting, by a system comprising a processor and to equipment of a first user, a ranked list of translation possibilities in a first order, and a list of alternative translation possibilities, wherein the ranked list of translation possibilities and the list of alternative translation possibilities comprise machine translations of a source text in an original language distinct from the machine translations, wherein the ranked list of translation possibilities and the list of alternative translation possibilities are contemporaneously presented to equipment of a second user, allowing the first user and the second user to participate in a collaborative translation of the source text; detecting, by the system, an input from the equipment of the first user, the input identifying a translation possibility from the list of alternative translation possibilities; re-ranking, by the system, the ranked list of translation possibilities in the first order based on the input, to yield a re-ranked list of translation possibilities in a second order; providing, by the system, the re-ranked list of translation possibilities to the equipment of the first user; and facilitating a transfer, by the system, of the re-ranked list of translation possibilities to the equipment of the second user for display, wherein the re-ranked list of translation possibilities is presented contemporaneously to both the equipment of the first user and the equipment of the second user. 3. The method of claim 1 , wherein a ranking of the list of alternative translation possibilities is based on a likelihood of each translation alternative of the ranked list of translation possibilities being selected by the equipment of the first user. | 0.555866 |
3. A computer-implemented method for facilitating a transaction, comprising: receiving input initiating the transaction; generating one or more queries from the input, each of the queries including one or more variables representing unknown information required for the transaction to proceed, the one or more variables of the one or more queries including a first variable, a second variable, and a third variable; for each variable in each query, determining whether the unknown information represented by the variable can be obtained from a first information source, the first information source comprising a knowledge base including structured data having a format compatible with the one or more queries; for each variable for which the unknown information cannot be obtained from the first information source, determining whether the unknown information represented by the variable can be obtained from one or more of a plurality of alternate information sources, the alternate information sources including a user by whom the input was entered, and a remote information source that is remote from and independent of the knowledge base; transmitting a first request for information to the remote information source; receiving a response to the first request; transmitting a second request for information to the device associated with the user; receiving a response to the second request from the device, the response to the second request including input from the user; determining the unknown information represented by each variable, including determining the unknown information represented by the first variable using the response to the first request, determining the unknown information represented by the second variable using the response to the second request, and determining the unknown information represented by the third variable using the knowledge base; and proceeding with the transaction. | 3. A computer-implemented method for facilitating a transaction, comprising: receiving input initiating the transaction; generating one or more queries from the input, each of the queries including one or more variables representing unknown information required for the transaction to proceed, the one or more variables of the one or more queries including a first variable, a second variable, and a third variable; for each variable in each query, determining whether the unknown information represented by the variable can be obtained from a first information source, the first information source comprising a knowledge base including structured data having a format compatible with the one or more queries; for each variable for which the unknown information cannot be obtained from the first information source, determining whether the unknown information represented by the variable can be obtained from one or more of a plurality of alternate information sources, the alternate information sources including a user by whom the input was entered, and a remote information source that is remote from and independent of the knowledge base; transmitting a first request for information to the remote information source; receiving a response to the first request; transmitting a second request for information to the device associated with the user; receiving a response to the second request from the device, the response to the second request including input from the user; determining the unknown information represented by each variable, including determining the unknown information represented by the first variable using the response to the first request, determining the unknown information represented by the second variable using the response to the second request, and determining the unknown information represented by the third variable using the knowledge base; and proceeding with the transaction. 12. The method of claim 3 , further comprising generating contextual information that includes a representation that a response to the first request is outstanding, and wherein the representation that a response to the first request is outstanding is an expectation fact in the machine-readable format of the knowledge base. | 0.576727 |
1. A user-interface method for searching a relatively large set of content items in response to unresolved keystroke entry by a user from a keypad with overloaded keys in which a given key is in fixed association with a plurality of alphabetical and numerical symbols and the entry has relatively few keystrokes so that a subset of targeted content item results is quickly presented, the method comprising: using an ordering criteria to rank and associate subsets of content items with corresponding strings of one or more unresolved keystrokes for overloaded keys so that the subsets of content items are directly mapped to the corresponding strings of unresolved keystrokes; subsequent to ranking and associating the content items with strings of unresolved keystrokes, receiving a first unresolved keystroke from a user, wherein one of the plurality of alphabetical and numerical symbols in fixed association with the first unresolved keystroke is a symbol the user is using to search for desired content items; selecting and presenting the subset of content items that is associated with the first unresolved keystroke based on the direct mapping of unresolved keystrokes to the subsets of content items; subsequent to receiving the first unresolved keystroke, receiving subsequent unresolved keystrokes from the user and forming a string of unresolved keystrokes including the first unresolved keystroke and the subsequent unresolved keystrokes in the order received; an selecting and presenting the subset of content items that is associated with the string of unresolved keystrokes received based on the direct mapping of unresolved keystrokes to the subsets of content items; wherein at least one of selecting the subset of content items associated with the first unresolved keystroke and selecting the subset of content items associated with the string of unresolved keystrokes is performed using a data structure or a term intersection process or a combination thereof, the data structure including a first storage structure and a second storage structure, the first storage structure including a plurality of subsets of content items, each subset being associated with a corresponding string of unresolved keystrokes, wherein using the data structure to select a subset of content items includes returning the subset of content items of the first storage structure that is associated with the string of unresolved keystrokes entered by the user and retrieving additional content items from the second storage structure if the desired content items are not present in the first storage structure. | 1. A user-interface method for searching a relatively large set of content items in response to unresolved keystroke entry by a user from a keypad with overloaded keys in which a given key is in fixed association with a plurality of alphabetical and numerical symbols and the entry has relatively few keystrokes so that a subset of targeted content item results is quickly presented, the method comprising: using an ordering criteria to rank and associate subsets of content items with corresponding strings of one or more unresolved keystrokes for overloaded keys so that the subsets of content items are directly mapped to the corresponding strings of unresolved keystrokes; subsequent to ranking and associating the content items with strings of unresolved keystrokes, receiving a first unresolved keystroke from a user, wherein one of the plurality of alphabetical and numerical symbols in fixed association with the first unresolved keystroke is a symbol the user is using to search for desired content items; selecting and presenting the subset of content items that is associated with the first unresolved keystroke based on the direct mapping of unresolved keystrokes to the subsets of content items; subsequent to receiving the first unresolved keystroke, receiving subsequent unresolved keystrokes from the user and forming a string of unresolved keystrokes including the first unresolved keystroke and the subsequent unresolved keystrokes in the order received; an selecting and presenting the subset of content items that is associated with the string of unresolved keystrokes received based on the direct mapping of unresolved keystrokes to the subsets of content items; wherein at least one of selecting the subset of content items associated with the first unresolved keystroke and selecting the subset of content items associated with the string of unresolved keystrokes is performed using a data structure or a term intersection process or a combination thereof, the data structure including a first storage structure and a second storage structure, the first storage structure including a plurality of subsets of content items, each subset being associated with a corresponding string of unresolved keystrokes, wherein using the data structure to select a subset of content items includes returning the subset of content items of the first storage structure that is associated with the string of unresolved keystrokes entered by the user and retrieving additional content items from the second storage structure if the desired content items are not present in the first storage structure. 7. The method of claim 1 wherein said unresolved keystroke entry comprises words separated by a word separator. | 0.578425 |
18. A methodology, comprising: receiving documentation at an industrial controller that is descriptive of logic code stored and to be executed on the industrial controller, the documentation including at least one of a memory address comment, a ladder logic rung comment, or a text box associated with a sequential function chart; retaining the documentation natively within memory on the industrial controller such that documentation relating to individual portions of the logic code can be accessed; detecting that alterations have been made to the documentation; and providing, by the industrial controller, an indication that the documentation has been altered to a device that is communicatively coupled to the industrial controller upon detecting that alterations have been made to the documentation. | 18. A methodology, comprising: receiving documentation at an industrial controller that is descriptive of logic code stored and to be executed on the industrial controller, the documentation including at least one of a memory address comment, a ladder logic rung comment, or a text box associated with a sequential function chart; retaining the documentation natively within memory on the industrial controller such that documentation relating to individual portions of the logic code can be accessed; detecting that alterations have been made to the documentation; and providing, by the industrial controller, an indication that the documentation has been altered to a device that is communicatively coupled to the industrial controller upon detecting that alterations have been made to the documentation. 21. The methodology of claim 18 , further comprising: automatically updating a project file on the device that is communicatively coupled to the industrial controller upon detecting that the alterations have been made to the documentation. | 0.634 |
1. A method of modifying a search query, performed by a server device, the method comprising: determining, by the server device, one or more alternative terms for one or more terms in the search query; obtaining, by the server device, search results based on the search query and based on an indexed corpus of documents, each search result identifying one or more documents in the indexed corpus of documents; defining, by the server device, a query context as a plurality of the documents identified by the search results; comparing, by the server device, the query context to the alternative terms to generate one or more valid ones of the alternative terms; and incorporating, by the server device, one or more of the valid ones of the alternative terms into the search query to obtain a modified search query. | 1. A method of modifying a search query, performed by a server device, the method comprising: determining, by the server device, one or more alternative terms for one or more terms in the search query; obtaining, by the server device, search results based on the search query and based on an indexed corpus of documents, each search result identifying one or more documents in the indexed corpus of documents; defining, by the server device, a query context as a plurality of the documents identified by the search results; comparing, by the server device, the query context to the alternative terms to generate one or more valid ones of the alternative terms; and incorporating, by the server device, one or more of the valid ones of the alternative terms into the search query to obtain a modified search query. 8. The method of claim 1 , where determining one or more alternative terms for one or more terms in the search query includes: finding terms from historical query logs that contain historical queries by matching the search query to historical queries that contain the search query as a subset of terms in the historical query, the alternative terms being determined as additional terms in the matching historical queries. | 0.5 |
49. The apparatus of claim 48 , wherein instructions to determine an appropriate response template comprise instructions to: divide the input into word segments; traverse the attribute trie with the input to determine matching attributes; traverse the “that” trie to determine matching “that” patterns from a previous output; and traverse the megacategory trie with matching attributes patterns and matching “that” patterns to determine matching megacategories. | 49. The apparatus of claim 48 , wherein instructions to determine an appropriate response template comprise instructions to: divide the input into word segments; traverse the attribute trie with the input to determine matching attributes; traverse the “that” trie to determine matching “that” patterns from a previous output; and traverse the megacategory trie with matching attributes patterns and matching “that” patterns to determine matching megacategories. 51. The apparatus of claim 49 , further comprising instructions to: determine that one megacategory matches, and when there is a determined match, select a response template corresponding to the one megacategory. | 0.658493 |
1. A method comprising: receiving a call from a caller; establishing from the call an identity of the caller; retrieving a social network context associated with the identity of the caller; identifying a topic of the call; retrieving customer relationship information pertaining to a previous interaction with the caller; determining an importance score for the call by assigning respective weights to the social network context, the topic, and the customer relationship information, a proportional distribution of the respective weights being based on one of resource availability, a call type, or a call time; and providing a level of customer service to the caller based on the importance score. | 1. A method comprising: receiving a call from a caller; establishing from the call an identity of the caller; retrieving a social network context associated with the identity of the caller; identifying a topic of the call; retrieving customer relationship information pertaining to a previous interaction with the caller; determining an importance score for the call by assigning respective weights to the social network context, the topic, and the customer relationship information, a proportional distribution of the respective weights being based on one of resource availability, a call type, or a call time; and providing a level of customer service to the caller based on the importance score. 9. The method of claim 1 , wherein the level of customer service comprises one of agent queue selection, agent selection, offered communication modalities, or customer follow-up. | 0.615142 |
1. A method of enhancing or suppressing measures of relationships between documents based on the relationships arising from text pertaining to selected topics, the method comprising: obtaining, with one or more processors, a corpus of more than 500 documents, each document having unstructured natural language text; obtaining, with one or more processors, a set of topics and, for each topic in the set, a respective set of n-grams pertaining to the respective topic; receiving, with one or more processors, a selected topic among the set of topics, the selection indicating that relationships between the documents are to be enhanced or suppressed in virtue of the relationships arising from text relating to the selected topic; forming, with one or more processors, a relationship graph of the documents, the relationship graph having more than 500 nodes, each node corresponding to at least one document, the graph having edges between nodes indicating a relationship between documents corresponding to the respective nodes, wherein: forming the relationship graph comprises forming a feature vector for each document, each feature vector having plurality of scores, each score corresponding to a given n-gram and being based on: an amount of occurrences of the given n-gram in the respective document, a length of the respective document, an amount of occurrences of the given n-gram in a plurality of other documents different from the respective document, and whether the given n-gram is among the set of n-grams pertaining to the selected topic and, when the given n-gram pertains to the selected topic, a cardinal score indicating an amount that the given n-gram pertains to the selected topic, the relationships between pairs of the documents are determined based on co-occurrence of n-grams in the pairs of the documents, and wherein the relationships are enhanced or suppressed in response to co-occurring n-grams being in the respective set of n-grams of the selected topic; and storing the relationship graph in memory. | 1. A method of enhancing or suppressing measures of relationships between documents based on the relationships arising from text pertaining to selected topics, the method comprising: obtaining, with one or more processors, a corpus of more than 500 documents, each document having unstructured natural language text; obtaining, with one or more processors, a set of topics and, for each topic in the set, a respective set of n-grams pertaining to the respective topic; receiving, with one or more processors, a selected topic among the set of topics, the selection indicating that relationships between the documents are to be enhanced or suppressed in virtue of the relationships arising from text relating to the selected topic; forming, with one or more processors, a relationship graph of the documents, the relationship graph having more than 500 nodes, each node corresponding to at least one document, the graph having edges between nodes indicating a relationship between documents corresponding to the respective nodes, wherein: forming the relationship graph comprises forming a feature vector for each document, each feature vector having plurality of scores, each score corresponding to a given n-gram and being based on: an amount of occurrences of the given n-gram in the respective document, a length of the respective document, an amount of occurrences of the given n-gram in a plurality of other documents different from the respective document, and whether the given n-gram is among the set of n-grams pertaining to the selected topic and, when the given n-gram pertains to the selected topic, a cardinal score indicating an amount that the given n-gram pertains to the selected topic, the relationships between pairs of the documents are determined based on co-occurrence of n-grams in the pairs of the documents, and wherein the relationships are enhanced or suppressed in response to co-occurring n-grams being in the respective set of n-grams of the selected topic; and storing the relationship graph in memory. 6. The method of claim 1 , wherein obtaining the set of topics comprises: obtaining a number of topics to be learned; after obtaining the number of topics to be learned, training an unsupervised learning model to score n-grams in a set of documents with at least a score for each of the number of topics to be learned. | 0.707584 |
1. A computer-implemented method for finding data related to the contents of a document using a first computer program running on a computer, the method comprising: displaying the document electronically using the first computer program; while the document is being displayed, analyzing, in a computer process, first information from the document to determine if the first information is at least one of a plurality of types of information that can be searched for in order to find second information related to the first information; retrieving the first information; providing an input device, configured by the first computer program, that allows a user to enter a user command to initiate an operation, the operation comprising (i) performing a search using at least part of the first information as a search term in order to find the second information, of a specific type or types, associated with the search term in an information source external to the document, wherein the specific type or types of second information is dependent at least in part on the type or types of the first information, and (ii) performing an action using at least part of the second information; in consequence of receipt by the first computer program of the user command from the input device, causing a search for the search term in the information source, using a second computer program, in order to find second information related to the search term; and if searching finds any second information related to the search term, performing the action using at least part of the second information, wherein the action is of a type depending at least in part on the type or types of the first information. | 1. A computer-implemented method for finding data related to the contents of a document using a first computer program running on a computer, the method comprising: displaying the document electronically using the first computer program; while the document is being displayed, analyzing, in a computer process, first information from the document to determine if the first information is at least one of a plurality of types of information that can be searched for in order to find second information related to the first information; retrieving the first information; providing an input device, configured by the first computer program, that allows a user to enter a user command to initiate an operation, the operation comprising (i) performing a search using at least part of the first information as a search term in order to find the second information, of a specific type or types, associated with the search term in an information source external to the document, wherein the specific type or types of second information is dependent at least in part on the type or types of the first information, and (ii) performing an action using at least part of the second information; in consequence of receipt by the first computer program of the user command from the input device, causing a search for the search term in the information source, using a second computer program, in order to find second information related to the search term; and if searching finds any second information related to the search term, performing the action using at least part of the second information, wherein the action is of a type depending at least in part on the type or types of the first information. 15. A method according to claim 1 , further comprising, if searching results in a plurality of distinct instances of second information, displaying such instances to enable user selection of one of them for use in performing the action. | 0.626038 |
7. A system comprising: one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising: receiving a first search query that includes one or more query terms that identify a viewpoint in which an object is to appear in images that are identified in response to the first search query; in response to receiving the first search query that includes one or more query terms that identify the viewpoint in which the object is to appear in images that are identified in response to the first search query, generating a second search query that includes (i) one or more query terms that refer to a category including the object, and (ii) one or more query terms that identify the viewpoint in which the object is to appear in images that are identified in response to the first search query; obtaining (i) a first set of one or more images that are identified as responsive to the first search query, and (ii) a second set of one or more images that are identified as responsive to the second search query; and selecting one or more of the images of the first set based at least on an indication of visual similarity between the selected one or more images and the one or more images of the second set of one or more images. | 7. A system comprising: one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising: receiving a first search query that includes one or more query terms that identify a viewpoint in which an object is to appear in images that are identified in response to the first search query; in response to receiving the first search query that includes one or more query terms that identify the viewpoint in which the object is to appear in images that are identified in response to the first search query, generating a second search query that includes (i) one or more query terms that refer to a category including the object, and (ii) one or more query terms that identify the viewpoint in which the object is to appear in images that are identified in response to the first search query; obtaining (i) a first set of one or more images that are identified as responsive to the first search query, and (ii) a second set of one or more images that are identified as responsive to the second search query; and selecting one or more of the images of the first set based at least on an indication of visual similarity between the selected one or more images and the one or more images of the second set of one or more images. 12. The system of claim 7 , the operations comprising generating the indication of visual similarity based on: generating first representations of the selected one or more images; generating a second representation based on the second set of one or more images; identifying visual differences between the first representations and the second representation; and determining to generate the indication of similarity based on the identified visual differences. | 0.529758 |
1. A method for producing a lottery product providing a story, the method comprising: printing a first page that embodies a first instant game, the first page including a first removable covering concealing a first element of a story, and the first page being associated with a first predetermined sub-payout, and the first page indicating a first predetermined running value of the lottery product; printing a second page that embodies a second instant game, the second page including a second removable covering concealing a second element of the story, and the second page being associated with a second predetermined sub-payout, and the second page indicating a second predetermined running value of the lottery product, the second predetermined running value being based on the first predetermined sub-payout and the second predetermined sub-payout; printing a table that (1) identifies a third element of the story and indicates a first potential prize for the first instant game if the third element matches the first element and (2) identifies a fourth element of the story and indicates a second potential prize for the second instant game if the fourth element matches the second element; and assembling the first page, the second page, and the table into a lottery product. | 1. A method for producing a lottery product providing a story, the method comprising: printing a first page that embodies a first instant game, the first page including a first removable covering concealing a first element of a story, and the first page being associated with a first predetermined sub-payout, and the first page indicating a first predetermined running value of the lottery product; printing a second page that embodies a second instant game, the second page including a second removable covering concealing a second element of the story, and the second page being associated with a second predetermined sub-payout, and the second page indicating a second predetermined running value of the lottery product, the second predetermined running value being based on the first predetermined sub-payout and the second predetermined sub-payout; printing a table that (1) identifies a third element of the story and indicates a first potential prize for the first instant game if the third element matches the first element and (2) identifies a fourth element of the story and indicates a second potential prize for the second instant game if the fourth element matches the second element; and assembling the first page, the second page, and the table into a lottery product. 21. The method of claim 1 , in which the third element is the same as the fourth element. | 0.650535 |
3. The method of claim 1 , comprising: determining an activation state of the first computing device based on comparing the first value that reflects the first likelihood that the utterance includes the particular hotword to the second value that reflects the second likelihood that the utterance includes the particular hotword. | 3. The method of claim 1 , comprising: determining an activation state of the first computing device based on comparing the first value that reflects the first likelihood that the utterance includes the particular hotword to the second value that reflects the second likelihood that the utterance includes the particular hotword. 4. The method of claim 3 , wherein determining an activation state of the first computing device based on comparing the first value that reflects the first likelihood that the utterance includes the particular hotword to the second value that reflects the second likelihood that the utterance includes the particular hotword comprises: determining that the activation state of the first computing device is an active state. | 0.919849 |
1. A method for measuring speech intelligibility, the method comprising the steps of: inputting a speech waveform; extracting at least one acoustic feature from the waveform; segmenting at least one phoneme from the at least one first acoustic feature; extracting at least one acoustic correlate measure from the at least one phoneme; determining at least one intelligibility measure, wherein the determination is based upon a language; and mapping the at least one acoustic correlate measure to the at least one intelligibility measure, wherein mapping comprises a vector of at least one value that correspond to the at least one intelligibility measure, the at least one value corresponding to a degree to which the at least one intelligibility measure corresponds to the at least one phoneme. | 1. A method for measuring speech intelligibility, the method comprising the steps of: inputting a speech waveform; extracting at least one acoustic feature from the waveform; segmenting at least one phoneme from the at least one first acoustic feature; extracting at least one acoustic correlate measure from the at least one phoneme; determining at least one intelligibility measure, wherein the determination is based upon a language; and mapping the at least one acoustic correlate measure to the at least one intelligibility measure, wherein mapping comprises a vector of at least one value that correspond to the at least one intelligibility measure, the at least one value corresponding to a degree to which the at least one intelligibility measure corresponds to the at least one phoneme. 6. The method of claim 1 , wherein the vector expresses the acoustic correlate measure in a non-binary value. | 0.602794 |
1. A method for updating a reordering model of a statistical machine translation system comprising: at a first time, receiving new training data for retraining an existing statistical machine translation system, the new training data comprising at least one sentence pair, each of the at least one sentence pair comprising a source sentence in a source language and a target sentence in a target language; extracting phrase pairs from the new training data, each phrase pair including a source language phrase and a target language phrase; generating a new reordering file from the extracted phrase pairs, the new reordering file including a set of the phrase pairs extracted from the new training data; updating a reordering model of the existing statistical machine translation system based on the new reordering file, the reordering model including a reordering table, the reordering table comprising phrase pairs and a set of features, the set of features comprising, for each of a set of orientation types, at least one feature which is a function of a count of the orientation type for the respective phrase pair, each phrase pair in the reordering table occurring only once, and wherein the updating of the reordering model includes merging an existing reordering table with the new reordering file or merging the existing reordering table with a new reordering table generated from the new reordering file, the merging including updating feature scores for each of the orientation types for at least some of the phrase pairs based on the counts stored in the existing reordering table; at a second time after the first time, receiving new training data for training the existing statistical machine translation system, the new training data comprising at least one sentence pair, the sentence pair comprising a source sentence in the source language and a target sentence in the target language; and reiterating the extracting of phrase pairs, generating of the new reordering file and the updating the reordering model based on the new training data received at the second time, wherein at least one of the extracting phrase pairs, generating the new reordering file, and updating the reordering model is performed with a computer processor. | 1. A method for updating a reordering model of a statistical machine translation system comprising: at a first time, receiving new training data for retraining an existing statistical machine translation system, the new training data comprising at least one sentence pair, each of the at least one sentence pair comprising a source sentence in a source language and a target sentence in a target language; extracting phrase pairs from the new training data, each phrase pair including a source language phrase and a target language phrase; generating a new reordering file from the extracted phrase pairs, the new reordering file including a set of the phrase pairs extracted from the new training data; updating a reordering model of the existing statistical machine translation system based on the new reordering file, the reordering model including a reordering table, the reordering table comprising phrase pairs and a set of features, the set of features comprising, for each of a set of orientation types, at least one feature which is a function of a count of the orientation type for the respective phrase pair, each phrase pair in the reordering table occurring only once, and wherein the updating of the reordering model includes merging an existing reordering table with the new reordering file or merging the existing reordering table with a new reordering table generated from the new reordering file, the merging including updating feature scores for each of the orientation types for at least some of the phrase pairs based on the counts stored in the existing reordering table; at a second time after the first time, receiving new training data for training the existing statistical machine translation system, the new training data comprising at least one sentence pair, the sentence pair comprising a source sentence in the source language and a target sentence in the target language; and reiterating the extracting of phrase pairs, generating of the new reordering file and the updating the reordering model based on the new training data received at the second time, wherein at least one of the extracting phrase pairs, generating the new reordering file, and updating the reordering model is performed with a computer processor. 10. The method of claim 1 , wherein, the merging compares lines of the reordering tables sequentially and where two lines match the method includes converting the feature scores in each line into counts, summing counts for each orientation, as well as the total count, and converting the updated counts of the orientations back to scores. | 0.5 |
8. A system comprising: one or more server devices to: obtain search results identifying documents that are relevant to a search query, the search query being: provided by a first user via an application used to compose a message intended for a second user, or generated based on a content of the message, the search query not being generated when the search query is provided by the first user; refine the search results based on a type of the application; provide, to the first user, the refined search results, the refined search results being provided via a first region of an interface when the search query is generated based on the content of the message, the refined search results being provided via a second region of the interface when the search query is provided by the first user, the second region being different from the first region, and the first region including a button that, when selected by the first user, causes the first region to be removed from the interface, the search query not being generated when the button is selected; a selection of a particular one of the refined search results by the first user causing data associated with the particular one of the refined search results to be incorporated into the message intended for the second user, the data associated with the particular one of the refined search results including: a link to a particular document associated with the particular one of the refined search results, and a snippet that includes a portion of text from the particular document, the portion, included in the snippet, being selected from the text included in the particular document based on content of the message and a user profile associated with the first user, the user profile being determined based on at least one of a prior search associated with the first user, or information provided by the first user, and the particular one of the refined search results being associated with a geographic location; receive a request from the second user to access, via the link, information associated with the particular one of the refined search results; and provide, to the second user, the information associated with the particular one of the refined search results, the information including a web page presenting a map of the geographic location relative to a geographic location of the second user. | 8. A system comprising: one or more server devices to: obtain search results identifying documents that are relevant to a search query, the search query being: provided by a first user via an application used to compose a message intended for a second user, or generated based on a content of the message, the search query not being generated when the search query is provided by the first user; refine the search results based on a type of the application; provide, to the first user, the refined search results, the refined search results being provided via a first region of an interface when the search query is generated based on the content of the message, the refined search results being provided via a second region of the interface when the search query is provided by the first user, the second region being different from the first region, and the first region including a button that, when selected by the first user, causes the first region to be removed from the interface, the search query not being generated when the button is selected; a selection of a particular one of the refined search results by the first user causing data associated with the particular one of the refined search results to be incorporated into the message intended for the second user, the data associated with the particular one of the refined search results including: a link to a particular document associated with the particular one of the refined search results, and a snippet that includes a portion of text from the particular document, the portion, included in the snippet, being selected from the text included in the particular document based on content of the message and a user profile associated with the first user, the user profile being determined based on at least one of a prior search associated with the first user, or information provided by the first user, and the particular one of the refined search results being associated with a geographic location; receive a request from the second user to access, via the link, information associated with the particular one of the refined search results; and provide, to the second user, the information associated with the particular one of the refined search results, the information including a web page presenting a map of the geographic location relative to a geographic location of the second user. 11. The system of claim 8 , where the message is associated with a particular topic, and where the one or more server devices are further to: adjust, based on the received request, a reputation score of the first user with respect to the particular topic. | 0.635411 |
8. A data processing system for detecting aspectual behavior in unified modeling language artifacts, the data processing system comprising: a bus; a memory; a communications unit connected to the bus; a persistent storage connected to the bus, wherein the persistent storage comprising computer usable instructions tangibly embodied thereon; a display connected to the bus; a processor unit connected to the bus, wherein the processor unit executes the computer usable instructions to: represent static and dynamic characteristics of the unified modeling language artifacts in a set of production rules; create a set of bit representations of method invocations found in the set of production rules; determine whether common sub-sequences exist in the set of bit representations; identify a set of aspects within the production rules responsive a determination that the common sub-sequences exist; and modify the unified modeling language artifacts in accordance with the set of aspects. | 8. A data processing system for detecting aspectual behavior in unified modeling language artifacts, the data processing system comprising: a bus; a memory; a communications unit connected to the bus; a persistent storage connected to the bus, wherein the persistent storage comprising computer usable instructions tangibly embodied thereon; a display connected to the bus; a processor unit connected to the bus, wherein the processor unit executes the computer usable instructions to: represent static and dynamic characteristics of the unified modeling language artifacts in a set of production rules; create a set of bit representations of method invocations found in the set of production rules; determine whether common sub-sequences exist in the set of bit representations; identify a set of aspects within the production rules responsive a determination that the common sub-sequences exist; and modify the unified modeling language artifacts in accordance with the set of aspects. 13. The data processing system of claim 8 , wherein the processor unit executes the computer usable instructions to modify the artifacts further comprises: modifying the dynamic information in the set of unified modeling language interaction diagrams; and modifying the static information in the set of production system statements. | 0.574212 |
1. A method for aiding diagnosis of an object showing at least one disorder and for selecting a finding that characterizes at least part of the state of the object, the method comprising: storing a number of findings in at least one data base; wherein each of the stored findings is described by a severity of the finding and a symptom constellation of a number of symptoms and by a graphic representation of the symptom constellation, as a visual pathology, wherein each symptom shows at least one symptom type and at least one expression, and wherein each symptom in each pathology is represented by a symbol the coordinates of which are determined in a first dimension by the symptom type of the symptom and in a second dimension by expression of the symptom, wherein the expression is determined by a subjectively perceived significance in respect of the disorder-generating source; and wherein a dialog-based, visual modeling of the state of the object occurs to which end the state of the object is described by a current symptom constellation which may comprise multiple symptoms, wherein each symptom shows at least one symptom type and at least one expression, and wherein the current symptom constellation is represented as an object image wherein each symptom is represented by a symbol whose coordinates are Determined in a first dimension by the symptom type of the symptom and in a second dimension by the expression of the symptom; and wherein to aid diagnosis at least one computer, at least one comparator, at least one input device, and at least one display device are provided; wherein the following process steps are carried out: deriving a current symptom constellation from a pre-defined symptom constellation; deriving a current list of findings from a pre-defined list of findings containing stored findings; deriving a current list of suggestions for symptoms from a pre-defined list of suggested symptoms; and wherein the following process steps are automatically repeated in a loop in this or another suitable sequence until a finding is determined manually, or until a pathology and thus the pertaining finding is selected or until the process is abandoned: a) by way of the input device at least one symptom of the current symptom constellation is modified for modelling the state of the object and the modified symptom constellation is stored as the current symptom constellation and the current symptom constellation is automatically and immediately graphically output on the display device as the current object image; b) the comparator automatically compares, following each case of symptom modification, the current symptom constellation against the stored symptom constellations of the findings of the current list of findings and immediately deletes from the current list of findings those findings showing a congruence with the current symptom constellation that remains beneath a predetermined, first value; c) the comparator automatically compares, following each case of symptom modification, the current symptom constellation against the symptom constellations of the findings stored in the data base and immediately adds to the current list of findings those stored findings showing a congruence of the respective symptom constellation with the current symptom constellation that lies above a predetermined, second value; d) the comparator automatically compares the current symptom constellation against the symptom constellations of the findings stored in the data base and adds stored findings to the current list of findings if the congruence of the respective symptom constellation with the current symptom constellation remains below the predetermined, first value but lies above a predetermined, third value if the disorder potential of the stored finding exceeds a predetermined threshold; e) the current list of findings is automatically and immediately sorted by the computer following each case of symptom modification, which sorting takes into account the similarity of the current symptom constellation with the respective symptom constellation of the stored findings and the severity of the stored finding; f) the symptom constellation pertaining to at least one finding of the current list of findings is plotted on the display device as pathology if the current list of findings includes at least one finding; and g) the comparator compares, following each case of symptom modification, the current list of suggestions for symptoms against the symptoms of the findings of the current list of findings, and re-sorts the current list of suggestions, and immediately outputs the current list of suggestions. | 1. A method for aiding diagnosis of an object showing at least one disorder and for selecting a finding that characterizes at least part of the state of the object, the method comprising: storing a number of findings in at least one data base; wherein each of the stored findings is described by a severity of the finding and a symptom constellation of a number of symptoms and by a graphic representation of the symptom constellation, as a visual pathology, wherein each symptom shows at least one symptom type and at least one expression, and wherein each symptom in each pathology is represented by a symbol the coordinates of which are determined in a first dimension by the symptom type of the symptom and in a second dimension by expression of the symptom, wherein the expression is determined by a subjectively perceived significance in respect of the disorder-generating source; and wherein a dialog-based, visual modeling of the state of the object occurs to which end the state of the object is described by a current symptom constellation which may comprise multiple symptoms, wherein each symptom shows at least one symptom type and at least one expression, and wherein the current symptom constellation is represented as an object image wherein each symptom is represented by a symbol whose coordinates are Determined in a first dimension by the symptom type of the symptom and in a second dimension by the expression of the symptom; and wherein to aid diagnosis at least one computer, at least one comparator, at least one input device, and at least one display device are provided; wherein the following process steps are carried out: deriving a current symptom constellation from a pre-defined symptom constellation; deriving a current list of findings from a pre-defined list of findings containing stored findings; deriving a current list of suggestions for symptoms from a pre-defined list of suggested symptoms; and wherein the following process steps are automatically repeated in a loop in this or another suitable sequence until a finding is determined manually, or until a pathology and thus the pertaining finding is selected or until the process is abandoned: a) by way of the input device at least one symptom of the current symptom constellation is modified for modelling the state of the object and the modified symptom constellation is stored as the current symptom constellation and the current symptom constellation is automatically and immediately graphically output on the display device as the current object image; b) the comparator automatically compares, following each case of symptom modification, the current symptom constellation against the stored symptom constellations of the findings of the current list of findings and immediately deletes from the current list of findings those findings showing a congruence with the current symptom constellation that remains beneath a predetermined, first value; c) the comparator automatically compares, following each case of symptom modification, the current symptom constellation against the symptom constellations of the findings stored in the data base and immediately adds to the current list of findings those stored findings showing a congruence of the respective symptom constellation with the current symptom constellation that lies above a predetermined, second value; d) the comparator automatically compares the current symptom constellation against the symptom constellations of the findings stored in the data base and adds stored findings to the current list of findings if the congruence of the respective symptom constellation with the current symptom constellation remains below the predetermined, first value but lies above a predetermined, third value if the disorder potential of the stored finding exceeds a predetermined threshold; e) the current list of findings is automatically and immediately sorted by the computer following each case of symptom modification, which sorting takes into account the similarity of the current symptom constellation with the respective symptom constellation of the stored findings and the severity of the stored finding; f) the symptom constellation pertaining to at least one finding of the current list of findings is plotted on the display device as pathology if the current list of findings includes at least one finding; and g) the comparator compares, following each case of symptom modification, the current list of suggestions for symptoms against the symptoms of the findings of the current list of findings, and re-sorts the current list of suggestions, and immediately outputs the current list of suggestions. 9. The method according to claim 1 wherein negative symptoms can be specified. | 0.905502 |
15. The system of claim 14 , further comprising a filter factory, wherein the processing system is further to declare the filter using a filter name in a declaration section and to associate the filter name with the filter factory that is used to create and implement a functionality of the filter, and wherein the filter factory is invoked by referencing the filter name of the filter. | 15. The system of claim 14 , further comprising a filter factory, wherein the processing system is further to declare the filter using a filter name in a declaration section and to associate the filter name with the filter factory that is used to create and implement a functionality of the filter, and wherein the filter factory is invoked by referencing the filter name of the filter. 16. The system of claim 15 , wherein the filter is one of a plurality of filters associated with the search query object, wherein any one of the plurality of filters can be enabled or disabled by referencing a respective filter name of a respective filter. | 0.918755 |
11. A program verification system, comprising: a processor implementing instructions encoded on a non-transitory medium thereon to verify a program; a specification, wherein the program is validated against the specification; an intermediate language translator that is executed by a processor to translate the program from its language to an intermediate language expressible by a control-flow graph; a loop eliminator that is executed by a processor to eliminate the loops within the intermediate language representation of the program; a passive command module that is executed by a processor to convert the intermediate language representation of the program to a passive intermediate language representation, wherein the passive command module converts the intermediate language representation of the program to a passive intermediate language program by replacing assignment statements in the intermediate language representation with assume statements; a dominator determination module that is executed by a processor to determine the dominator relationship between program blocks of the control-flow graph; a verification condition generator that is executed by a processor to create a verification condition according to the dominator relationship and the passive intermediate language representation of the program, wherein the verification condition includes a plurality of hierarchically structured block equations each assigned to one of the plurality of program blocks, wherein each block equation comprises a first term associated with an assigned program block and a term associated with each dominating program block according to the determined dominator relationship; and a theorem prover, wherein the theorem prover: receives the verification condition, evaluates a first level of the hierarchically structured block equations prior to evaluating a subordinate level of hierarchical structured block equations, evaluates the subordinate level of hierarchical structured block equations when the first level of hierarchically structured block equations is valid; and ignore the subordinate level of hierarchically structured block equations when the first level of hierarchically structure block equations is not valid. | 11. A program verification system, comprising: a processor implementing instructions encoded on a non-transitory medium thereon to verify a program; a specification, wherein the program is validated against the specification; an intermediate language translator that is executed by a processor to translate the program from its language to an intermediate language expressible by a control-flow graph; a loop eliminator that is executed by a processor to eliminate the loops within the intermediate language representation of the program; a passive command module that is executed by a processor to convert the intermediate language representation of the program to a passive intermediate language representation, wherein the passive command module converts the intermediate language representation of the program to a passive intermediate language program by replacing assignment statements in the intermediate language representation with assume statements; a dominator determination module that is executed by a processor to determine the dominator relationship between program blocks of the control-flow graph; a verification condition generator that is executed by a processor to create a verification condition according to the dominator relationship and the passive intermediate language representation of the program, wherein the verification condition includes a plurality of hierarchically structured block equations each assigned to one of the plurality of program blocks, wherein each block equation comprises a first term associated with an assigned program block and a term associated with each dominating program block according to the determined dominator relationship; and a theorem prover, wherein the theorem prover: receives the verification condition, evaluates a first level of the hierarchically structured block equations prior to evaluating a subordinate level of hierarchical structured block equations, evaluates the subordinate level of hierarchical structured block equations when the first level of hierarchically structured block equations is valid; and ignore the subordinate level of hierarchically structured block equations when the first level of hierarchically structure block equations is not valid. 12. The program validation system of claim 11 , wherein the loop eliminator eliminates loops in the intermediate language representation of the program by identifying and removing back-edges in the control-flow graph. | 0.5 |
28. The apparatus as in claim 25 wherein the first audio data is stored within the first audio file in a plurality of fixed-size access units and wherein generating the universal representation comprises packing the fixed-size access units into a plurality of audio data structures, the audio data structures of the universal representation being larger than or equal to the fixed-size access units of the first audio file. | 28. The apparatus as in claim 25 wherein the first audio data is stored within the first audio file in a plurality of fixed-size access units and wherein generating the universal representation comprises packing the fixed-size access units into a plurality of audio data structures, the audio data structures of the universal representation being larger than or equal to the fixed-size access units of the first audio file. 29. The apparatus as in claim 28 wherein the fixed-size access units of the universal representation are an integer multiple of the fixed-size access units of the first audio file. | 0.841699 |
23. A non-transitory computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by one or more processors of an electronic device, cause the device to: provide a plurality of media items wherein at least some of the media items are each associated with a respective tag comprising at least one of a time tag, a date tag, or a geo-code tag; provide a natural language text string corresponding to a search query for one or more media items, wherein the search query includes one or more query terms; identify, based on the search query, a first media item of the plurality of media items, wherein the media item is associated with user-generated information and wherein the user-generated information matches a query term of the one or more query terms; compare the respective tags of the identified first media item to the respective tags of one or more other media items of the plurality of media items to identify a second media item, wherein the respective tags of the identified first media item are not generated based on the search query; and facilitate a presentation of the first media item and the second media item to a user. | 23. A non-transitory computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by one or more processors of an electronic device, cause the device to: provide a plurality of media items wherein at least some of the media items are each associated with a respective tag comprising at least one of a time tag, a date tag, or a geo-code tag; provide a natural language text string corresponding to a search query for one or more media items, wherein the search query includes one or more query terms; identify, based on the search query, a first media item of the plurality of media items, wherein the media item is associated with user-generated information and wherein the user-generated information matches a query term of the one or more query terms; compare the respective tags of the identified first media item to the respective tags of one or more other media items of the plurality of media items to identify a second media item, wherein the respective tags of the identified first media item are not generated based on the search query; and facilitate a presentation of the first media item and the second media item to a user. 51. The non-transitory computer readable storage medium of claim 23 , wherein the second media item is not associated with the user-generated information. | 0.552405 |
9. A system, comprising: one or more data processors; and a non-transitory computer readable storage medium containing instructions which when executed on the one or more data processors, cause the processor to: identify a first context-variable value for a context variable detected by a robot at a first sensory-detection time; access a policy comprising one or more parameters configured to map the context variable to a robot action variable; determine that a first robot action characterized by a first value of the robot action variable was performed at an action time in response to detection of the first context-variable value, the first robot action being in accordance with application of the policy; determine that a user input was received at an input time configured to correspond to the action time, wherein user input data derived from the user input at least partly defines a corrective command that specifies a corrective robot action for physical performance, the user input being indicative of at least partial dissatisfaction with the first robot action, wherein the corrective command defined by the user input data is configured to minimize an error associated with the robot action; modify the policy based on the corrective command and the st context-variable value; and cause the modified policy to be used to: determine a second robot action characterized by a second value of the robot action variable based on a second context-variable value for the context variable detected at a second sensory-detection time; and initiate performance of the second robot action in accordance with the second value of the robot action variable. | 9. A system, comprising: one or more data processors; and a non-transitory computer readable storage medium containing instructions which when executed on the one or more data processors, cause the processor to: identify a first context-variable value for a context variable detected by a robot at a first sensory-detection time; access a policy comprising one or more parameters configured to map the context variable to a robot action variable; determine that a first robot action characterized by a first value of the robot action variable was performed at an action time in response to detection of the first context-variable value, the first robot action being in accordance with application of the policy; determine that a user input was received at an input time configured to correspond to the action time, wherein user input data derived from the user input at least partly defines a corrective command that specifies a corrective robot action for physical performance, the user input being indicative of at least partial dissatisfaction with the first robot action, wherein the corrective command defined by the user input data is configured to minimize an error associated with the robot action; modify the policy based on the corrective command and the st context-variable value; and cause the modified policy to be used to: determine a second robot action characterized by a second value of the robot action variable based on a second context-variable value for the context variable detected at a second sensory-detection time; and initiate performance of the second robot action in accordance with the second value of the robot action variable. 11. The system of claim 9 , wherein the instructions further cause the processor to: identify initial user input data derived from an initial user input received, the initial user input data at least partly defining an initial command that specifies an initial robot action for the robot to physically perform; identify an initial context-variable value for the context variable detected by the robot at an initial sensory-detection time that corresponds to the initial input time; and determine the accessed policy based on the initial command and the first context-variable value for the context variable. | 0.604831 |
1. A method of generating search results from an electronic document, the method comprising: receiving, by a library of electronic documents, an electronic document; extracting a full text index of the electronic document, along with an indicator of position of individual words in the electronic document; extracting one or more keywords in the full text index of the electronic document; scoring each of the extracted keywords based on the full text index; and by a processing device: retrieving the electronic document from the library, displaying, on a display operably connected to a processing device, the electronic document, receiving, by the processing device, an indication of a user-selected area of the electronic document, determining, by the processing device, at least one of the keywords having a position that corresponds to the user-selected area of the electronic document, automatically transmitting, by the processing device, the determined at least one keyword to a search engine without additional input by the user, receiving, by the processing device, a first results list from the search engine, wherein the first results list is from a search of one or more sources other than the library of electronic documents, and outputting, by the processing device, a result set along with the electronic document, wherein the result set comprises at least the first results list presented as a set of user-selectable links to additional information, and wherein outputting the result set comprises sorting the result set so that results associated with higher keyword scores are sorted to the to of the first results list. | 1. A method of generating search results from an electronic document, the method comprising: receiving, by a library of electronic documents, an electronic document; extracting a full text index of the electronic document, along with an indicator of position of individual words in the electronic document; extracting one or more keywords in the full text index of the electronic document; scoring each of the extracted keywords based on the full text index; and by a processing device: retrieving the electronic document from the library, displaying, on a display operably connected to a processing device, the electronic document, receiving, by the processing device, an indication of a user-selected area of the electronic document, determining, by the processing device, at least one of the keywords having a position that corresponds to the user-selected area of the electronic document, automatically transmitting, by the processing device, the determined at least one keyword to a search engine without additional input by the user, receiving, by the processing device, a first results list from the search engine, wherein the first results list is from a search of one or more sources other than the library of electronic documents, and outputting, by the processing device, a result set along with the electronic document, wherein the result set comprises at least the first results list presented as a set of user-selectable links to additional information, and wherein outputting the result set comprises sorting the result set so that results associated with higher keyword scores are sorted to the to of the first results list. 10. The method of claim 1 , wherein scoring each of the keywords comprises: assigning keywords that are determined to be common words a score of zero; assigning high score keywords that are determined to appear with a frequency that satisfies a threshold in all electronic documents in the electronic library that relate to a common subject; and assigning a low score that is between zero and the high score to keywords that are not common words and that appear with a frequency that satisfies a threshold in all documents in the electronic library. | 0.543354 |
49. The computer-implemented method of claim 48 , wherein said wire format specific rendering option specifies that said XML entity is to be rendered with an overriding name in said particular wire format. | 49. The computer-implemented method of claim 48 , wherein said wire format specific rendering option specifies that said XML entity is to be rendered with an overriding name in said particular wire format. 50. The computer-implemented method of claim 49 , wherein said XML entity is an element declaration and said generating said XML schema fragment comprises setting a name attribute of said element declaration to said overriding name. | 0.944969 |
1. A method comprising: receiving an image captured from a mobile device display for a first mobile application; determining a window that includes a chronological set of images, the images each representing a respective screen captured from a display of a mobile device and having an associated timestamp; identifying entities appearing in images in a first portion of the window using text for images in a remaining portion of the window as context to disambiguate ambiguous entity references; and providing the identified entities to the mobile device for customizing a second mobile application executing on the mobile device. | 1. A method comprising: receiving an image captured from a mobile device display for a first mobile application; determining a window that includes a chronological set of images, the images each representing a respective screen captured from a display of a mobile device and having an associated timestamp; identifying entities appearing in images in a first portion of the window using text for images in a remaining portion of the window as context to disambiguate ambiguous entity references; and providing the identified entities to the mobile device for customizing a second mobile application executing on the mobile device. 11. The method of claim 1 , wherein the window represents a quantity of images. | 0.78655 |
1. A stereolithographic method of forming a three-dimensional object from a plurality of adhered laminae by exposing successive layers of a material to prescribed stimulation, comprising: providing data representing an object to be formed; providing answers to a series of questions, including answers to stereolithographic machine type, recoating device, material type, and data file units; automatically determining a group of styles to be used in forming the object, wherein the determination is derived based on the answers provided, the styles including build styles and support styles; forming a layer of material according to at least one of the styles of the group, wherein the layer is formed in preparation for forming a successive lamina of the object, the layer in the object being formed according to at least one selected build style that includes geometric features; exposing the material to the prescribed stimulation to form a successive lamina of the object, wherein the exposure is performed according to at least one of the styles of the group; and repeating the acts of forming and exposing a plurality of times in order to form the object from a plurality of laminae. | 1. A stereolithographic method of forming a three-dimensional object from a plurality of adhered laminae by exposing successive layers of a material to prescribed stimulation, comprising: providing data representing an object to be formed; providing answers to a series of questions, including answers to stereolithographic machine type, recoating device, material type, and data file units; automatically determining a group of styles to be used in forming the object, wherein the determination is derived based on the answers provided, the styles including build styles and support styles; forming a layer of material according to at least one of the styles of the group, wherein the layer is formed in preparation for forming a successive lamina of the object, the layer in the object being formed according to at least one selected build style that includes geometric features; exposing the material to the prescribed stimulation to form a successive lamina of the object, wherein the exposure is performed according to at least one of the styles of the group; and repeating the acts of forming and exposing a plurality of times in order to form the object from a plurality of laminae. 4. The method of claim 1 wherein the group of styles comprises a style setting forth build parameters associated with a support structure for use in solidifying layers of the material. | 0.503858 |
8. A computer-implemented method for obtaining comparative web results from a computing device operatively connected to a network through a browser comprising the steps of: transmitting a first search query to obtain a first search result; transmitting a second search query that is related to the first search query to obtain a second search result; receiving at the computing results the plurality of comparative search result groups that each include a first element from the first search result and a second element from the second search result, the plurality of the comparative search result groups being generated based on the following equation:
f q1q2 ( p 1, p 2)=α· R ( p 1, q 1)+β· R ( p 2, q 2)+γ· S ( p 1 q 1, p 2 q 2), p 1∈ SR 1, p 2∈ SR 2 wherein SR 1 represents the first search results for the first search query q 1 , SR 2 represents the second search results for the second search query q 2 , p 1 represents an element from SR 1 , p 2 represents an element from SR 2 , R represents relevance of an element to a query, S represents similarity between two elements, p 1 q 1 represents text content of p 1 after removing terms of p 1 , p 2 q 2 represents text content of p 2 after removing terms of q 2 , and α, β, and γ represents constants wherein the elements are grouped based on relevance of the first element to the first search query and relevance of the second element to the second search query. | 8. A computer-implemented method for obtaining comparative web results from a computing device operatively connected to a network through a browser comprising the steps of: transmitting a first search query to obtain a first search result; transmitting a second search query that is related to the first search query to obtain a second search result; receiving at the computing results the plurality of comparative search result groups that each include a first element from the first search result and a second element from the second search result, the plurality of the comparative search result groups being generated based on the following equation:
f q1q2 ( p 1, p 2)=α· R ( p 1, q 1)+β· R ( p 2, q 2)+γ· S ( p 1 q 1, p 2 q 2), p 1∈ SR 1, p 2∈ SR 2 wherein SR 1 represents the first search results for the first search query q 1 , SR 2 represents the second search results for the second search query q 2 , p 1 represents an element from SR 1 , p 2 represents an element from SR 2 , R represents relevance of an element to a query, S represents similarity between two elements, p 1 q 1 represents text content of p 1 after removing terms of p 1 , p 2 q 2 represents text content of p 2 after removing terms of q 2 , and α, β, and γ represents constants wherein the elements are grouped based on relevance of the first element to the first search query and relevance of the second element to the second search query. 9. The computer-implemented method of claim 8 , wherein at least one of the search result groups is a pair of web pages. | 0.681211 |
6. The method of claim 1 wherein validating, using the at least one rule, a command for configuring the network entity includes: selecting the validation configuration file for processing; accessing the validation configuration file; and processing the validation configuration file for obtaining the at least one rule for validating commands for configuring the network entity. | 6. The method of claim 1 wherein validating, using the at least one rule, a command for configuring the network entity includes: selecting the validation configuration file for processing; accessing the validation configuration file; and processing the validation configuration file for obtaining the at least one rule for validating commands for configuring the network entity. 10. The method of claim 6 wherein at least one of selecting, accessing, and processing the validation configuration file occurs at least one of: prior to a request for validation of input; and in response to a request for validation of input. | 0.889112 |
27. The computer-readable medium of claim 26 , wherein the method further comprises predicting the two or more chat stages from among a plurality of chat stages associated with the real-time textual conversation for determining the one or more mood metrics in each of the two or more chat stages. | 27. The computer-readable medium of claim 26 , wherein the method further comprises predicting the two or more chat stages from among a plurality of chat stages associated with the real-time textual conversation for determining the one or more mood metrics in each of the two or more chat stages. 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. | 0.937993 |
18. The computer system of claim 17 , wherein the software is further configured to identify a second portion of the displayed text comprising a first number of consecutive characters starting form the first character, wherein the first number of consecutive characters divided by the total number of characters is equal to or approximately equal to the calculated percentage of time the first video was viewed. | 18. The computer system of claim 17 , wherein the software is further configured to identify a second portion of the displayed text comprising a first number of consecutive characters starting form the first character, wherein the first number of consecutive characters divided by the total number of characters is equal to or approximately equal to the calculated percentage of time the first video was viewed. 19. The computer system of claim 18 , wherein the graphic element indicating the duration of time that the first video was viewed comprises highlighting applied to the second portion of the displayed text. | 0.777008 |
1. A non-transitory machine readable medium storing a program for execution by at least one processing unit, the program comprising sets of instructions for: receiving a document having a first format, the document stored as a stream representation comprising an ordered content stream and an object representation comprising a set of object nodes arranged in a tree structure, the object nodes referencing ranges of indices in the content stream; and converting an identified range of the document into a new format by recursively traversing the tree structure to identify nodes referencing indexes within the identified range and converting the identified nodes to the new format. | 1. A non-transitory machine readable medium storing a program for execution by at least one processing unit, the program comprising sets of instructions for: receiving a document having a first format, the document stored as a stream representation comprising an ordered content stream and an object representation comprising a set of object nodes arranged in a tree structure, the object nodes referencing ranges of indices in the content stream; and converting an identified range of the document into a new format by recursively traversing the tree structure to identify nodes referencing indexes within the identified range and converting the identified nodes to the new format. 2. The non-transitory machine readable medium of claim 1 , wherein the object nodes represent document structures. | 0.79513 |
9. A method implemented in a network management service, the method comprising: receiving from multiple devices in a managed wireless distribution network parameters used to join multiple wireless networks, each of the multiple wireless networks being hosted by one of the multiple devices; providing to each of the multiple devices parameters used to join wireless networks hosted by others of the multiple devices; receiving from each of the multiple devices indications of wireless networks visible to the device; generating routes through multiple wireless networks for ones of the multiple devices to obtain portions of protected content to others of the multiple devices; providing an indication of the routes to the multiple devices; determining which of the multiple devices are to seed which portions of particular protected content; and instructing ones of the multiple devices to obtain particular portions of the protected content in the absence of a user request to consume the particular protected content at the ones of the multiple devices. | 9. A method implemented in a network management service, the method comprising: receiving from multiple devices in a managed wireless distribution network parameters used to join multiple wireless networks, each of the multiple wireless networks being hosted by one of the multiple devices; providing to each of the multiple devices parameters used to join wireless networks hosted by others of the multiple devices; receiving from each of the multiple devices indications of wireless networks visible to the device; generating routes through multiple wireless networks for ones of the multiple devices to obtain portions of protected content to others of the multiple devices; providing an indication of the routes to the multiple devices; determining which of the multiple devices are to seed which portions of particular protected content; and instructing ones of the multiple devices to obtain particular portions of the protected content in the absence of a user request to consume the particular protected content at the ones of the multiple devices. 17. A method as recited in claim 9 , further comprising determining one or more sources from which the portions of particular protected content are to be obtained, and providing to the ones of the multiple devices indications of the one or more sources. | 0.626861 |
9. A system for use in a vehicle, comprising: a thermo-sensing element for determining a body temperature of a user in a compartment of the vehicle, an ambient temperature of the compartment being determined; and a processor configured to invoke a test for testing the user when the body temperature of the user changes more than a predetermined value. | 9. A system for use in a vehicle, comprising: a thermo-sensing element for determining a body temperature of a user in a compartment of the vehicle, an ambient temperature of the compartment being determined; and a processor configured to invoke a test for testing the user when the body temperature of the user changes more than a predetermined value. 11. The system of claim 9 wherein the test requires the user to identify different colors on display. | 0.522556 |
8. The method of claim 1 comprising storing the graphical block diagram model to a single-navigable object embedded in a web page. | 8. The method of claim 1 comprising storing the graphical block diagram model to a single-navigable object embedded in a web page. 9. The method of claim 8 , wherein the single-navigable object is navigable through instructions executed solely on a client side. | 0.921421 |
5. A method for automatically and programmatically determining whether a text in digital form is deceptive by analysis in a computing device, comprising: establishing a set of cues in digital form in a computing device; automatically and programmatically determining by a computing device without human intervention if a cue in the set of cues is part of one of a sub-set of increasing trend cues and a sub-set of decreasing trend cues; for increasing trend cues, for each ith deception indicator cue value a i , determining, via a computing device, whether a i for a text is higher than an average value ā idc determined from evaluation of a deceptive text training data set; when a i >ā idc labeling this deception indicator cue a i as a match for the text and setting a deceptive coefficient for the ith cue, c i , equal to 1; determining, via a computing device, whether a i is lower than the average value ā itr determined from evaluation of a truthful text training set; when a i <ā itr labeling this deception indicator cue a i as not a match for the text and setting the deception coefficient for the ith cue, c i , equal to 0; determining, via a computing device, whether a i is between ā itr and ā idc ; computing, via a computing device, how close a i is to ā idc and setting the deceptive coefficient c i to a value between 0 to 1 accordingly; for decreasing trend cues for each ith deception indicator cue value, a i determining, via a computing device, whether a i for a text is lower than an average value ā idc ; labeling this deception indicator cue a i as a match for the text and setting the deceptive coefficient for the ith cue, c i , equal to 1; determining, via a computing device, whether a i is higher than the average value ā itr ; when a i >ā itr labeling this deception indicator cue a i as not a match for the text and setting the deception coefficient for the ith cue, c i , equal to 0; determining, via a computing device, whether a i for the text is between ā itr and ā idc , computing, via a computing device, how close a i is to ā itr and setting the deceptive coefficient c i a value between 0 to 1 accordingly; summing the deceptive coefficients c i to obtain a deceptive value d; and, labeling the text as deceptive at least in part based upon the value d. | 5. A method for automatically and programmatically determining whether a text in digital form is deceptive by analysis in a computing device, comprising: establishing a set of cues in digital form in a computing device; automatically and programmatically determining by a computing device without human intervention if a cue in the set of cues is part of one of a sub-set of increasing trend cues and a sub-set of decreasing trend cues; for increasing trend cues, for each ith deception indicator cue value a i , determining, via a computing device, whether a i for a text is higher than an average value ā idc determined from evaluation of a deceptive text training data set; when a i >ā idc labeling this deception indicator cue a i as a match for the text and setting a deceptive coefficient for the ith cue, c i , equal to 1; determining, via a computing device, whether a i is lower than the average value ā itr determined from evaluation of a truthful text training set; when a i <ā itr labeling this deception indicator cue a i as not a match for the text and setting the deception coefficient for the ith cue, c i , equal to 0; determining, via a computing device, whether a i is between ā itr and ā idc ; computing, via a computing device, how close a i is to ā idc and setting the deceptive coefficient c i to a value between 0 to 1 accordingly; for decreasing trend cues for each ith deception indicator cue value, a i determining, via a computing device, whether a i for a text is lower than an average value ā idc ; labeling this deception indicator cue a i as a match for the text and setting the deceptive coefficient for the ith cue, c i , equal to 1; determining, via a computing device, whether a i is higher than the average value ā itr ; when a i >ā itr labeling this deception indicator cue a i as not a match for the text and setting the deception coefficient for the ith cue, c i , equal to 0; determining, via a computing device, whether a i for the text is between ā itr and ā idc , computing, via a computing device, how close a i is to ā itr and setting the deceptive coefficient c i a value between 0 to 1 accordingly; summing the deceptive coefficients c i to obtain a deceptive value d; and, labeling the text as deceptive at least in part based upon the value d. 8. The method of claim 5 , further comprising: weighting each c i . | 0.532028 |
6. A system for integrating query categories, comprising: a computer processor; and logic executable by the computer processor, the logic implementing a method, the method including: receiving a search query; executing a reductionist module on the search query to extract a core term from the search query, the core term used to search a hash table that maps core terms to corresponding categories; deriving a first result comprising one or more categories from the search of the hash table; executing an enrichment module on the search query to yield a second result, the enrichment module including searching an index of terms that are mapped to documents and corresponding categories in the index, the second result indicative of one of the corresponding categories in the index based on a probability score; integrating the first result and the second result to produce a third result, the integrating comprising: upon determining the core term is present in the hash table, calculating a weighted average for corresponding values of the first result and the second result based on training data acquired from the execution of the reductionist module and the execution of the enrichment module; and upon determining the core term from the search query is not listed in the hash table, and upon determining the probability score of the one of the corresponding categories in the index for the second result meets a minimum defined confidence value, inserting and storing the core term and the one of the corresponding categories in the hash table and mapping the core term to the one of the corresponding categories in the hash table; and transmitting the third result to a computer device that generated the search query. | 6. A system for integrating query categories, comprising: a computer processor; and logic executable by the computer processor, the logic implementing a method, the method including: receiving a search query; executing a reductionist module on the search query to extract a core term from the search query, the core term used to search a hash table that maps core terms to corresponding categories; deriving a first result comprising one or more categories from the search of the hash table; executing an enrichment module on the search query to yield a second result, the enrichment module including searching an index of terms that are mapped to documents and corresponding categories in the index, the second result indicative of one of the corresponding categories in the index based on a probability score; integrating the first result and the second result to produce a third result, the integrating comprising: upon determining the core term is present in the hash table, calculating a weighted average for corresponding values of the first result and the second result based on training data acquired from the execution of the reductionist module and the execution of the enrichment module; and upon determining the core term from the search query is not listed in the hash table, and upon determining the probability score of the one of the corresponding categories in the index for the second result meets a minimum defined confidence value, inserting and storing the core term and the one of the corresponding categories in the hash table and mapping the core term to the one of the corresponding categories in the hash table; and transmitting the third result to a computer device that generated the search query. 7. The system of claim 6 , wherein the logic further implements: providing the core term to the enrichment module, the enrichment module associating a minimum weight to the core term in the execution of the enrichment module. | 0.646341 |
41. The non-transitory computer readable storage medium of claim 40 , wherein each search context is associated with a respective group of users. | 41. The non-transitory computer readable storage medium of claim 40 , wherein each search context is associated with a respective group of users. 42. The non-transitory computer readable storage medium of claim 41 , wherein the group of users for a respective search context is determined based on at least one user attribute selected from the group consisting of user language and user country. | 0.92261 |
2. The method of claim 1 , comprising generating the dictionary of language objects associated with the message thread upon determining that a dictionary associated with the message thread does not exist. | 2. The method of claim 1 , comprising generating the dictionary of language objects associated with the message thread upon determining that a dictionary associated with the message thread does not exist. 3. The method of claim 2 , wherein generating the dictionary comprises storing, as language objects of the dictionary, words found in messages associated with the message thread. | 0.806874 |
20. A system configured to extract conveyance records from unstructured text documents, the system comprising: one or more computer processors; and storage media, storing machine-readable instructions that, when executed by at least some of the one or more processors, cause operations comprising: obtaining a plurality of scanned, optical-character-recognized (OCR) documents, each having OCR-produced English language text describing, in unstructured form, one or more conveyances of interest in real property, wherein each document is associated with metadata identifying a jurisdiction in which the respective real property is located; determining, for each of the documents, a respective jurisdiction based on the metadata; selecting from a plurality of language processing models for the English language, a respective language processing model for each of the documents based on the respective determined jurisdiction, wherein a first language processing model is selected for at least some of the documents associated with a first jurisdiction and a second language processing model, different from the first language processing model, is selected for at least some of the documents associated with a second jurisdiction that is different from the first jurisdiction, and wherein each language processing model is configured to extract structured data from unstructured text, and wherein each language processing model is configured to detect different terminology used in different jurisdictions with different frequencies; extracting, for each of the documents, from the respective OCR-produced English language text describing, in unstructured form, one or more conveyances of interest in real property, a plurality of structured conveyance records from each of the plurality of documents by applying the language processing model selected for the respective document based on the jurisdiction associated with the document, wherein each extracted conveyance record identifies a plot of land in which an interest is conveyed by the respective document, identifies a grantor of the conveyance, identifies an grantee of the conveyance, and identifies the interest conveyed; and storing the extracted structured conveyance records in memory. | 20. A system configured to extract conveyance records from unstructured text documents, the system comprising: one or more computer processors; and storage media, storing machine-readable instructions that, when executed by at least some of the one or more processors, cause operations comprising: obtaining a plurality of scanned, optical-character-recognized (OCR) documents, each having OCR-produced English language text describing, in unstructured form, one or more conveyances of interest in real property, wherein each document is associated with metadata identifying a jurisdiction in which the respective real property is located; determining, for each of the documents, a respective jurisdiction based on the metadata; selecting from a plurality of language processing models for the English language, a respective language processing model for each of the documents based on the respective determined jurisdiction, wherein a first language processing model is selected for at least some of the documents associated with a first jurisdiction and a second language processing model, different from the first language processing model, is selected for at least some of the documents associated with a second jurisdiction that is different from the first jurisdiction, and wherein each language processing model is configured to extract structured data from unstructured text, and wherein each language processing model is configured to detect different terminology used in different jurisdictions with different frequencies; extracting, for each of the documents, from the respective OCR-produced English language text describing, in unstructured form, one or more conveyances of interest in real property, a plurality of structured conveyance records from each of the plurality of documents by applying the language processing model selected for the respective document based on the jurisdiction associated with the document, wherein each extracted conveyance record identifies a plot of land in which an interest is conveyed by the respective document, identifies a grantor of the conveyance, identifies an grantee of the conveyance, and identifies the interest conveyed; and storing the extracted structured conveyance records in memory. 26. The system of claim 20 , wherein the one or more language processing models comprise a language processing model trained on a training set of conveyance records and documents from which the conveyance records were extracted. | 0.572379 |
5. The method of claim 1 further comprising parsing the target information into segments and prioritizing the segments, so that a highest priority segment is fact checked first, wherein priority is based on the relatedness of the segment to a current topic being discussed and when the segment was presented, wherein if the segment is not fact checked before a timeout threshold, then the segment is removed from a fact check queue. | 5. The method of claim 1 further comprising parsing the target information into segments and prioritizing the segments, so that a highest priority segment is fact checked first, wherein priority is based on the relatedness of the segment to a current topic being discussed and when the segment was presented, wherein if the segment is not fact checked before a timeout threshold, then the segment is removed from a fact check queue. 6. The method of claim 5 wherein a plurality of fact check queues are implemented, wherein a first fact check queue contains the segments to be fact checked in real-time, and the second fact check queue contains the segments to be fact checked in non-real-time. | 0.944699 |
12. A system, comprising: a memory; a processor, coupled to the memory, the processor configured to: perform a lexico-morphological analysis of a natural language text comprising a plurality of tokens, each token comprising at least one natural language word; determine, based on the lexico-morphological analysis, one or more lexical meanings and grammatical meanings associated with each token of the plurality of tokens; for each token of the plurality of tokens, evaluate one or more classifier functions using the lexical and grammatical meanings associated with the tokens, wherein a value of each classifier function is indicative of a degree of association of the token with a category of named entities; perform a syntactico-semantic analysis of at least part of the natural language text to produce a plurality of semantic structures representing the part of the natural language text; and interpret the semantic structures using a set of production rules to determine, for one or more tokens comprised by the part of the natural language text, a degree of association of the token with a category of named entities. | 12. A system, comprising: a memory; a processor, coupled to the memory, the processor configured to: perform a lexico-morphological analysis of a natural language text comprising a plurality of tokens, each token comprising at least one natural language word; determine, based on the lexico-morphological analysis, one or more lexical meanings and grammatical meanings associated with each token of the plurality of tokens; for each token of the plurality of tokens, evaluate one or more classifier functions using the lexical and grammatical meanings associated with the tokens, wherein a value of each classifier function is indicative of a degree of association of the token with a category of named entities; perform a syntactico-semantic analysis of at least part of the natural language text to produce a plurality of semantic structures representing the part of the natural language text; and interpret the semantic structures using a set of production rules to determine, for one or more tokens comprised by the part of the natural language text, a degree of association of the token with a category of named entities. 19. The system of claim 12 , wherein the processor is further configured to: determine, using a training data set, at least one parameter of the classifier function, wherein the training data set comprises a training natural language text comprising a plurality of tokens, wherein each token is associated with a certain category. | 0.5 |
9. A method for supporting curation of a new item in a searchable knowledge base, wherein the searchable knowledge base includes a plurality of items, said method comprising: mining one or more search queries of the searchable knowledge base, wherein each of the one or more search queries includes search results including a plurality of the plurality of items of the knowledge base, each item including a title identifying an issue and/or topic addressed by the item and further including a plurality of posts from users of the knowledge base system, each post relevant to the issue and/or topic of the item; re-running at least one of the one or more mined search queries against the searchable knowledge base using a keyword based search algorithm; determining one or more items of the plurality of items of the knowledge base using a processor, wherein each of the one or more items include a correlation value exceeding a threshold, wherein the correlation value for the each of the one or more items is based upon a frequency the each of the one or more items co-occur with the new item in search results of at least one of the at least one of the one or more search queries; and providing at least one of the one or more items to a curator, wherein the curator reviews the at least one of the one or more items; wherein the plurality of items of the knowledge base each correspond to a record of information on a specific issue or topic relevant to a topic covered by the knowledge base, and wherein the one or more mined search queries are saved within a history database, each of the saved search queries corresponding to a previously performed search of the searchable knowledge base, identifying the search terms of the previously performed search, and identifying items of the searchable knowledge base returned in response to the previously performed search. | 9. A method for supporting curation of a new item in a searchable knowledge base, wherein the searchable knowledge base includes a plurality of items, said method comprising: mining one or more search queries of the searchable knowledge base, wherein each of the one or more search queries includes search results including a plurality of the plurality of items of the knowledge base, each item including a title identifying an issue and/or topic addressed by the item and further including a plurality of posts from users of the knowledge base system, each post relevant to the issue and/or topic of the item; re-running at least one of the one or more mined search queries against the searchable knowledge base using a keyword based search algorithm; determining one or more items of the plurality of items of the knowledge base using a processor, wherein each of the one or more items include a correlation value exceeding a threshold, wherein the correlation value for the each of the one or more items is based upon a frequency the each of the one or more items co-occur with the new item in search results of at least one of the at least one of the one or more search queries; and providing at least one of the one or more items to a curator, wherein the curator reviews the at least one of the one or more items; wherein the plurality of items of the knowledge base each correspond to a record of information on a specific issue or topic relevant to a topic covered by the knowledge base, and wherein the one or more mined search queries are saved within a history database, each of the saved search queries corresponding to a previously performed search of the searchable knowledge base, identifying the search terms of the previously performed search, and identifying items of the searchable knowledge base returned in response to the previously performed search. 18. The method of claim 9 , wherein the plurality of items of the searchable knowledge base are search tips. | 0.554177 |
4. The method of claim 1 further comprising: generating said selected state data by a user accepting or rejecting individual data elements contained in a listing of said data elements. | 4. The method of claim 1 further comprising: generating said selected state data by a user accepting or rejecting individual data elements contained in a listing of said data elements. 6. The method of claim 4 wherein said generating said selected state data by a user accepting or rejecting individual data elements contained in a listing of said data elements comprises: monitoring said user's primary and secondary mouse buttons. | 0.943646 |
19. A method for sharing information between mobile agent objects in a computer network including at least a first computer node having a software application, comprising the steps of: generating a plurality of mobile agent objects from the software application in the first computer node; assigning a task to each mobile agent object; joining at least a portion of said plurality of mobile agent objects to a group; forwarding the joined mobile agent objects from said first computer node to at least one other computer node within said network, the mobile agent objects performing computations in the at least one other computer node; and sharing information derived from the performed computations between the joined mobile agent objects by forming a distributed synchronization point at which the mobile agents share with other mobile agent objects within said group. | 19. A method for sharing information between mobile agent objects in a computer network including at least a first computer node having a software application, comprising the steps of: generating a plurality of mobile agent objects from the software application in the first computer node; assigning a task to each mobile agent object; joining at least a portion of said plurality of mobile agent objects to a group; forwarding the joined mobile agent objects from said first computer node to at least one other computer node within said network, the mobile agent objects performing computations in the at least one other computer node; and sharing information derived from the performed computations between the joined mobile agent objects by forming a distributed synchronization point at which the mobile agents share with other mobile agent objects within said group. 21. The method of claim 19 including the further step of executing multiple collaborations through the distributed synchronization point. | 0.514316 |
12. A method of performing sentiment classification of content comprising: classifying the content as being related to a particular aspect of a plurality of aspects of information by an aspect classifier, wherein the aspect classifier incorporates at least a portion of a domain specific sentiment lexicon, wherein the domain specific sentiment lexicon is configured by (i) obtaining domain specific words and/or phrases by filtering an annotated corpus, (ii) obtaining domain specific words and/or phrases by searching the world wide web via the internet using a predetermined linguistic pattern and filtering returned search results, and (iii) performing a dictionary expansion operation on domain specific words and/or phrases obtained via (i) and (ii); classifying the content classified by the aspect classifier as having one of a positive sentiment of the particular aspect of information, a negative sentiment of the particular aspect of information or as having no sentiment of the particular aspect of information by use of a polarity classifier, wherein the polarity classifier incorporates at least a portion of the domain specific sentiment lexicon; and aggregating received results of predictions by the aspect classifier and received results of predictions by the polarity classifier, wherein the method is performed using at least one electronic processor. | 12. A method of performing sentiment classification of content comprising: classifying the content as being related to a particular aspect of a plurality of aspects of information by an aspect classifier, wherein the aspect classifier incorporates at least a portion of a domain specific sentiment lexicon, wherein the domain specific sentiment lexicon is configured by (i) obtaining domain specific words and/or phrases by filtering an annotated corpus, (ii) obtaining domain specific words and/or phrases by searching the world wide web via the internet using a predetermined linguistic pattern and filtering returned search results, and (iii) performing a dictionary expansion operation on domain specific words and/or phrases obtained via (i) and (ii); classifying the content classified by the aspect classifier as having one of a positive sentiment of the particular aspect of information, a negative sentiment of the particular aspect of information or as having no sentiment of the particular aspect of information by use of a polarity classifier, wherein the polarity classifier incorporates at least a portion of the domain specific sentiment lexicon; and aggregating received results of predictions by the aspect classifier and received results of predictions by the polarity classifier, wherein the method is performed using at least one electronic processor. 16. The method of claim 12 wherein the content is text configured in the form of sentences having words and phrases. | 0.71261 |
16. A machine-readable tangible and non-transitory medium having information for enabling a processing unit to generate an abstract associated with a web page, wherein the information, when read by the machine, causes the machine to perform the following: enabling the processing unit to obtain a plurality of bookmarking tags collected via a bookmarking Web service associated with the web page from a database, the bookmarking Web service being configured to allow users to store bookmarks associated with the web page and share the bookmarks with other users; enabling the processing unit to determine a subject matter associated with the web page based on the plurality of bookmarking tags; enabling the processing unit to divide textual content of the web page into a series of fragments each of which is associated with a topic that has a measure of similarity relative to the subject matter; enabling the processing unit to select one or more fragments from the series of fragments of the web page, wherein the one or more fragments are associated with one or more topics, and the one or more topics have maximum measures of similarity relative to the subject matter; and enabling the processing unit to generate the abstract associated with the web page from the selected one or more fragments of the web page. | 16. A machine-readable tangible and non-transitory medium having information for enabling a processing unit to generate an abstract associated with a web page, wherein the information, when read by the machine, causes the machine to perform the following: enabling the processing unit to obtain a plurality of bookmarking tags collected via a bookmarking Web service associated with the web page from a database, the bookmarking Web service being configured to allow users to store bookmarks associated with the web page and share the bookmarks with other users; enabling the processing unit to determine a subject matter associated with the web page based on the plurality of bookmarking tags; enabling the processing unit to divide textual content of the web page into a series of fragments each of which is associated with a topic that has a measure of similarity relative to the subject matter; enabling the processing unit to select one or more fragments from the series of fragments of the web page, wherein the one or more fragments are associated with one or more topics, and the one or more topics have maximum measures of similarity relative to the subject matter; and enabling the processing unit to generate the abstract associated with the web page from the selected one or more fragments of the web page. 18. The medium of claim 16 , wherein the step of enabling the processing unit to select one or more fragments from the series of fragments of the web page comprises: enabling the processing unit to determine the measure of similarity between the plurality of bookmarking tags and each fragment in the series of fragments of the web page, wherein the plurality of bookmarking tags is a plurality of social bookmarking tags; enabling the processing unit to calculate a score for each fragment in the series of fragments of the web page based at least in part on the measure of similarity between the plurality of social bookmarking tags and the fragment; and enabling the processing unit to select one or more fragments from the series of fragments of the web page based at least in part on the score associated with each fragment in the series of fragments of the web page. | 0.5 |
1. A sports skill evaluation system, comprising: an inputting section for inputting, while course selection items displayed on a screen are selected, required data for each of the items regarding a user; a basic database for storing personal basic data of the user including a level, a match experience, an age and a sex inputted through said inputting section; a coefficient table in which application coefficients including level-based coefficients, age-based coefficients and sex-based coefficients are stored in advance; application coefficient calculation means for referring to said coefficient table based on the level, age and sex inputted through said inputting section to determine respective individual application coefficients; skill item point calculation means for calculating, from a score according to a result of a match of the user inputted through said inputting section and the individual application coefficients determined by said application coefficient calculation section, a skill item point for each of skills required for the match; skill diagnosis graph production means for producing diagnosis graphs for the individual skills from the skill item points for the individual skills calculated by said skill item point calculation means; comment pattern designation value calculation means for converting the level, match experience, age and sex inputted through said inputting section into numerical values and calculating comment pattern designation values for the individual skill items based on the numerical values in accordance with a predetermined calculation expression; a comment table in which a plurality of comments to be presented each as a comment to a user are stored such that the comments are classified for the individual skill items and are numbered for the individual comments; and comment extraction means for extracting a comment of a number corresponding to each of the comment pattern designation values calculated by said comment pattern designation value calculation means for each of the skill items from said comment table. | 1. A sports skill evaluation system, comprising: an inputting section for inputting, while course selection items displayed on a screen are selected, required data for each of the items regarding a user; a basic database for storing personal basic data of the user including a level, a match experience, an age and a sex inputted through said inputting section; a coefficient table in which application coefficients including level-based coefficients, age-based coefficients and sex-based coefficients are stored in advance; application coefficient calculation means for referring to said coefficient table based on the level, age and sex inputted through said inputting section to determine respective individual application coefficients; skill item point calculation means for calculating, from a score according to a result of a match of the user inputted through said inputting section and the individual application coefficients determined by said application coefficient calculation section, a skill item point for each of skills required for the match; skill diagnosis graph production means for producing diagnosis graphs for the individual skills from the skill item points for the individual skills calculated by said skill item point calculation means; comment pattern designation value calculation means for converting the level, match experience, age and sex inputted through said inputting section into numerical values and calculating comment pattern designation values for the individual skill items based on the numerical values in accordance with a predetermined calculation expression; a comment table in which a plurality of comments to be presented each as a comment to a user are stored such that the comments are classified for the individual skill items and are numbered for the individual comments; and comment extraction means for extracting a comment of a number corresponding to each of the comment pattern designation values calculated by said comment pattern designation value calculation means for each of the skill items from said comment table. 9. A sports skill evaluation system according to claim 1 , wherein said inputting section inputs basic user data of the user including the level, match experience, age and sex, contest results and so forth from a storage medium. | 0.60948 |
1. A method for sharing information, the method comprising: at a first server of a first data system, receiving a request to send a copy of a document to a second server of a second data system; wherein the first data system comprises at least the first server and a first repository that is accessible to the first server, wherein the document comprises a reference to a first object that is stored outside of the document and within the first repository, the document further comprising one or more instructions configured to cause generation of one or more presented components of the document based on retrieving data that belongs to the first object; at the first server, based at least partially upon the retrieved data belonging to the first object, generating evidence data that describes one or more aspects of the first object; wherein the evidence data is not identical to the reference or the retrieved data; responsive to the request to send the copy of the document to the second server, the first server at the first data system sending, to the second server at the second data system, the copy of the document and the evidence data; wherein the method is performed by one or more computing devices. | 1. A method for sharing information, the method comprising: at a first server of a first data system, receiving a request to send a copy of a document to a second server of a second data system; wherein the first data system comprises at least the first server and a first repository that is accessible to the first server, wherein the document comprises a reference to a first object that is stored outside of the document and within the first repository, the document further comprising one or more instructions configured to cause generation of one or more presented components of the document based on retrieving data that belongs to the first object; at the first server, based at least partially upon the retrieved data belonging to the first object, generating evidence data that describes one or more aspects of the first object; wherein the evidence data is not identical to the reference or the retrieved data; responsive to the request to send the copy of the document to the second server, the first server at the first data system sending, to the second server at the second data system, the copy of the document and the evidence data; wherein the method is performed by one or more computing devices. 10. The method of claim 1 , wherein generating the evidence data occurs in response to determining that a copy of the first object is inaccessible to a recipient at the second data system. | 0.632094 |
10. A system comprising: one or more hardware processors; and a non-transitory computer readable medium encoding instructions that, when executed by the one or more hardware processors, cause the system to perform operations comprising: receiving a user request referencing one or more keywords, identifying a plurality of content items, wherein the content items comprise network content that includes the one or more keywords, clustering the plurality of content items into a plurality of clusters, and identifying a topic associated with each cluster, wherein the identified topics relate to the one or more keywords, for each topic from among the identified topics corresponding to the clusters, computing a frequency associated with the topic, computing a relevance rank associated with each content item associated with the topic, and determining a relevance rank associated with the topic based on the computed relevance ranks, obtaining a number of page views associated with each content item associated with the topic, and determining a number of page views associated with the topic based on the obtained number of page views, and analyzing a rating associated with each content item associated with the topic, wherein the rating comprises a satisfaction metric, and determinig a sentiment score associated with the topic based on the analyzed ratings, preparing a report regarding the identified topics corresponding to the clusters, wherein the report comprises, for each topic from among the identified topics, the computed frequency associated with the topic, the determined relevance rank associated with the topic, the determined number of page views associated with the topic, and the determined sentiment score associated with the topic, and displaying the report in response to the user request referencing the one or more keywords to which the identified topics relate. | 10. A system comprising: one or more hardware processors; and a non-transitory computer readable medium encoding instructions that, when executed by the one or more hardware processors, cause the system to perform operations comprising: receiving a user request referencing one or more keywords, identifying a plurality of content items, wherein the content items comprise network content that includes the one or more keywords, clustering the plurality of content items into a plurality of clusters, and identifying a topic associated with each cluster, wherein the identified topics relate to the one or more keywords, for each topic from among the identified topics corresponding to the clusters, computing a frequency associated with the topic, computing a relevance rank associated with each content item associated with the topic, and determining a relevance rank associated with the topic based on the computed relevance ranks, obtaining a number of page views associated with each content item associated with the topic, and determining a number of page views associated with the topic based on the obtained number of page views, and analyzing a rating associated with each content item associated with the topic, wherein the rating comprises a satisfaction metric, and determinig a sentiment score associated with the topic based on the analyzed ratings, preparing a report regarding the identified topics corresponding to the clusters, wherein the report comprises, for each topic from among the identified topics, the computed frequency associated with the topic, the determined relevance rank associated with the topic, the determined number of page views associated with the topic, and the determined sentiment score associated with the topic, and displaying the report in response to the user request referencing the one or more keywords to which the identified topics relate. 11. The system of claim 10 , wherein the operations further comprise specifying a number of clusters to be formed prior to clustering the plurality of content items, wherein the number of clusters influences the identification of topics associated with each cluster. | 0.567906 |
1. A computer-implemented method, comprising: rendering a base output image with a procedural painting system controlled by one or more parameters, wherein the base output image is based on a received input image; calculating a score for the base output image, using a classifier trained to calculate a score based on how an image corresponds to a received painting style; determining a plurality of randomized sets of meta-parameters for the procedural painting system, wherein each meta-parameter comprises two or more parameters; rendering a plurality of intermediate output images by the procedural painting system, wherein the parameters of the procedural painting system for each intermediate output image in the plurality of intermediate output images are determined based on the plurality of randomized sets of meta-parameters; calculating a score for each intermediate output image in the plurality of intermediate output images, using the trained classifier; and identifying an optimal set of metaparameters based on the calculated score for each intermediate output image. | 1. A computer-implemented method, comprising: rendering a base output image with a procedural painting system controlled by one or more parameters, wherein the base output image is based on a received input image; calculating a score for the base output image, using a classifier trained to calculate a score based on how an image corresponds to a received painting style; determining a plurality of randomized sets of meta-parameters for the procedural painting system, wherein each meta-parameter comprises two or more parameters; rendering a plurality of intermediate output images by the procedural painting system, wherein the parameters of the procedural painting system for each intermediate output image in the plurality of intermediate output images are determined based on the plurality of randomized sets of meta-parameters; calculating a score for each intermediate output image in the plurality of intermediate output images, using the trained classifier; and identifying an optimal set of metaparameters based on the calculated score for each intermediate output image. 5. The method of claim 1 , wherein the parameters comprise one or more of: a patch length; a patch x-y ratio; a patch texture; a brightness; a saturation shift to brush color; and a range of brightness and color variation from brush texture. | 0.675449 |
15. The system as recited in claim 14 further comprising: means for classifying identified For and Against keys by key type; and weight means for incrementing or decrementing a language vote count by a weight value assigned to each key type, the increment or decrement amount being a signed key type weight value preassigned to the key type each time a said key is determined, said vote value being incremented for For key types and decremented for Against key types. | 15. The system as recited in claim 14 further comprising: means for classifying identified For and Against keys by key type; and weight means for incrementing or decrementing a language vote count by a weight value assigned to each key type, the increment or decrement amount being a signed key type weight value preassigned to the key type each time a said key is determined, said vote value being incremented for For key types and decremented for Against key types. 16. The system as recited in claim 15 wherein said further syntactical characteristic is whether a said language vote count is greater or less than a prescribed value. | 0.881641 |
3. The method of claim 1 , further comprising: transmitting the response to the entity. | 3. The method of claim 1 , further comprising: transmitting the response to the entity. 5. The method of claim 3 , further comprising: packaging the response with additional content in a web page; and wherein said transmitting comprises: transmitting the web page to a computing device to be displayed in a browser to a user that input the query to a user interface displayed by the browser. | 0.891195 |
25. A non-transitory machine readable storage medium comprising a plurality of instructions that, in response to being executed on a computing device, cause the computing device to: retrieve, from content data stored in an human activity recommendation information system, context-sensitive content relevant to attainment of an overall goal by a human subject, wherein the overall goal is attained in connection with changes to human behavior by the human subject in a plurality of real-world activities; establish one or more user restrictions and one or more user preferences for the context-sensitive content from a set of conditions relevant to the attainment of the overall goal, the set of conditions populated from a profile of the human subject, and the profile tracking one or more behavior characteristics of the human subject affecting the attainment of the overall goal by the human subject; match the context-sensitive content to the human subject according to the set of conditions and the one or more restrictions, by applying the filter to exclude content from the context-sensitive content that is not compatible with the one or more restrictions and to exclude content from the context-sensitive content that is not relevant to the set of conditions; prioritize the context-sensitive content to the human subject according to the set of conditions and the one or more preferences, by applying the one or more preferences to prefer content from the context-sensitive content that is compatible with the one or more behavior characteristics of the human subject; and produce suggested content from the matched and prioritized context-sensitive content for presentation to the human subject. | 25. A non-transitory machine readable storage medium comprising a plurality of instructions that, in response to being executed on a computing device, cause the computing device to: retrieve, from content data stored in an human activity recommendation information system, context-sensitive content relevant to attainment of an overall goal by a human subject, wherein the overall goal is attained in connection with changes to human behavior by the human subject in a plurality of real-world activities; establish one or more user restrictions and one or more user preferences for the context-sensitive content from a set of conditions relevant to the attainment of the overall goal, the set of conditions populated from a profile of the human subject, and the profile tracking one or more behavior characteristics of the human subject affecting the attainment of the overall goal by the human subject; match the context-sensitive content to the human subject according to the set of conditions and the one or more restrictions, by applying the filter to exclude content from the context-sensitive content that is not compatible with the one or more restrictions and to exclude content from the context-sensitive content that is not relevant to the set of conditions; prioritize the context-sensitive content to the human subject according to the set of conditions and the one or more preferences, by applying the one or more preferences to prefer content from the context-sensitive content that is compatible with the one or more behavior characteristics of the human subject; and produce suggested content from the matched and prioritized context-sensitive content for presentation to the human subject. 29. The machine readable storage medium of claim 25 , further comprising instructions, which when executed by the computing device, cause the computing device to update the context-sensitive data based on information obtained from the human subject. | 0.68367 |
26. A method for processing a multi-part voice command, the method comprising: at an electronic device: receiving speech input from a user, wherein the speech input comprises a single utterance having one or more actionable commands; in direct response to receiving the speech input comprising the single utterance: generating a text string based on the speech input using a speech transcription process; parsing the text string into at least a first candidate substring and a second candidate substring; determining a first probability that the first candidate substring corresponds to a first actionable command and a second probability that the second candidate substring corresponds to a second actionable command; in response to the first probability and the second probability exceeding a threshold, determining a first intent associated with the first candidate substring and a second intent associated with the second candidate substring; executing a first process identified by the first intent and a second process identified by the second intent; and providing to the user an acknowledgment that the first process and the second process have at least begun execution. | 26. A method for processing a multi-part voice command, the method comprising: at an electronic device: receiving speech input from a user, wherein the speech input comprises a single utterance having one or more actionable commands; in direct response to receiving the speech input comprising the single utterance: generating a text string based on the speech input using a speech transcription process; parsing the text string into at least a first candidate substring and a second candidate substring; determining a first probability that the first candidate substring corresponds to a first actionable command and a second probability that the second candidate substring corresponds to a second actionable command; in response to the first probability and the second probability exceeding a threshold, determining a first intent associated with the first candidate substring and a second intent associated with the second candidate substring; executing a first process identified by the first intent and a second process identified by the second intent; and providing to the user an acknowledgment that the first process and the second process have at least begun execution. 61. The method of claim 26 , wherein the acknowledgment comprises an audible confirmation. | 0.718126 |
1. A method for managing data using one or more processors, included in one or more network computers, to execute a modeling platform server that performs actions, comprising: employing a source data server to provide a principal data set and another data set, wherein the principal data set includes a plurality of principal objects and the other data set includes a plurality of other objects; instantiating a first engine to perform actions including: associating each of the plurality of principal objects with one or more other objects that are selected from the plurality of other objects, wherein the one or more other objects are selected as potential matches to one or more of the principal objects; selecting one or more principal objects of the plurality of principal objects based on one or more heuristics and the one or more selected principal objects association with selected other objects; and labeling one or more of the selected other objects as either a match or a non-match of their associated principal object; and instantiating a second engine to perform actions, including: training a ranker to identify a selected other object that is top-ranked in similarity to its association with the one or more principal objects based on the labeling of the one or more selected other objects; and employing the trained ranker to indicate a match among the plurality of principal objects and the plurality of other objects; and instantiating a third engine to selectively filter the plurality of other objects to rank each matched other object higher than other objects associated with a same principal object, wherein geolocation information from a GPS device is employed to localize a display of the ranked other objects including one or more of time zone or language, and wherein a hardware security module is used to provide tamper resistant safeguarding of cryptographic information. | 1. A method for managing data using one or more processors, included in one or more network computers, to execute a modeling platform server that performs actions, comprising: employing a source data server to provide a principal data set and another data set, wherein the principal data set includes a plurality of principal objects and the other data set includes a plurality of other objects; instantiating a first engine to perform actions including: associating each of the plurality of principal objects with one or more other objects that are selected from the plurality of other objects, wherein the one or more other objects are selected as potential matches to one or more of the principal objects; selecting one or more principal objects of the plurality of principal objects based on one or more heuristics and the one or more selected principal objects association with selected other objects; and labeling one or more of the selected other objects as either a match or a non-match of their associated principal object; and instantiating a second engine to perform actions, including: training a ranker to identify a selected other object that is top-ranked in similarity to its association with the one or more principal objects based on the labeling of the one or more selected other objects; and employing the trained ranker to indicate a match among the plurality of principal objects and the plurality of other objects; and instantiating a third engine to selectively filter the plurality of other objects to rank each matched other object higher than other objects associated with a same principal object, wherein geolocation information from a GPS device is employed to localize a display of the ranked other objects including one or more of time zone or language, and wherein a hardware security module is used to provide tamper resistant safeguarding of cryptographic information. 5. The method of claim 1 , wherein labeling the one or more selected other objects, further comprises: communicating each of the one or more principal objects and their associated selected other objects to a user; and displaying each of the one or more principal objects and their associated selected other objects to the user; and enabling the user to identify a match with the one or more principal data objects from among the displayed selected other objects. | 0.840708 |
13. The method in claim 12 further comprising harmonizing: poetry, said poetry being remotely typed by said artist with said gloves on a huge video-screen to be visualized by an audience; music, said music being remotely played by said artist with said gloves on a music synthesizer to be heard by said audience; and a show of colorful lights, said lights being directed by said artist with said gloves. | 13. The method in claim 12 further comprising harmonizing: poetry, said poetry being remotely typed by said artist with said gloves on a huge video-screen to be visualized by an audience; music, said music being remotely played by said artist with said gloves on a music synthesizer to be heard by said audience; and a show of colorful lights, said lights being directed by said artist with said gloves. 14. The method claimed in claim 13 further comprising mounting said colorful lights on the back-side of said second and fourth portions, said lights being locally directed by said artist wearing said keygloves. | 0.965883 |
12. A system comprising: a processor; and a memory that comprises components that are executable by the processor, the components comprising: a receiver component that is configured to receive a request for a co-citation graph for a first research document, the first research document has an author and includes citations to other research documents; and a co-citation graph generator component that is configured to: execute a search over contents of a data repository responsive to receiving the request, the data repository comprises a plurality of research documents including the first research document; and based upon the search, generate a co-citation graph for the first research document for presentment on a display, the co-citation graph comprises: a first node that is representative of the first research document; a second node that is representative of a second research document; a plurality of nodes that are respectively representative of a plurality of other research documents, each research document in the plurality of other research documents comprising sentences that include citations to the first research document and the second research document; and graphical data that indicates that each research document in the plurality of other research documents comprises the sentences that include the citations to the first research document and the second research document. | 12. A system comprising: a processor; and a memory that comprises components that are executable by the processor, the components comprising: a receiver component that is configured to receive a request for a co-citation graph for a first research document, the first research document has an author and includes citations to other research documents; and a co-citation graph generator component that is configured to: execute a search over contents of a data repository responsive to receiving the request, the data repository comprises a plurality of research documents including the first research document; and based upon the search, generate a co-citation graph for the first research document for presentment on a display, the co-citation graph comprises: a first node that is representative of the first research document; a second node that is representative of a second research document; a plurality of nodes that are respectively representative of a plurality of other research documents, each research document in the plurality of other research documents comprising sentences that include citations to the first research document and the second research document; and graphical data that indicates that each research document in the plurality of other research documents comprises the sentences that include the citations to the first research document and the second research document. 13. The system of claim 12 , the plurality of nodes comprises a third node that that is representative of a third research document, the co-citation graph further comprises a first edge between the first node and the third node, and a second edge between the second node and the third node, wherein the first and second edges visually indicate that the third research document includes a first citation to the first research document and a second citation to the second research document. | 0.508328 |
8. A device comprising a processor configured to perform a method comprising: receiving information about an expected use of a spectrum band in a radio frequency spectrum, the expected use by a primary user; classifying the expected use of the spectrum band into at least two working modes, the classifying responsive to the information about the expected use; sensing the spectrum band to determine a current access pattern of the primary user; selecting one of the working modes as a current working mode of the primary user, the selecting responsive to the classifying and to the current access pattern of the primary user; scheduling transmissions on the spectrum band using a current schedule that is responsive to the current working mode of the primary user, the scheduling as a secondary user of the spectrum band; determining whether the current working mode of the primary user has changed; if the current working mode of the primary user has changed, re-performing the sensing, selecting, scheduling, and determining; and if the current working mode of the primary user has not changed, re-performing the scheduling and determining. | 8. A device comprising a processor configured to perform a method comprising: receiving information about an expected use of a spectrum band in a radio frequency spectrum, the expected use by a primary user; classifying the expected use of the spectrum band into at least two working modes, the classifying responsive to the information about the expected use; sensing the spectrum band to determine a current access pattern of the primary user; selecting one of the working modes as a current working mode of the primary user, the selecting responsive to the classifying and to the current access pattern of the primary user; scheduling transmissions on the spectrum band using a current schedule that is responsive to the current working mode of the primary user, the scheduling as a secondary user of the spectrum band; determining whether the current working mode of the primary user has changed; if the current working mode of the primary user has changed, re-performing the sensing, selecting, scheduling, and determining; and if the current working mode of the primary user has not changed, re-performing the scheduling and determining. 14. The device of claim 8 , wherein the receiving, classifying, sensing, and selecting are performed in response to the device being powered on. | 0.843327 |
5. The method of claim 2 , wherein the test script utilizes the abstract model to conduct the testing through the use of an identification rule used to locate certain elements within the SAUT. | 5. The method of claim 2 , wherein the test script utilizes the abstract model to conduct the testing through the use of an identification rule used to locate certain elements within the SAUT. 6. The method of claim 5 , wherein the identification rule further comprises a reference parameter within the SAUT used as a starting point for the identification rule. | 0.938339 |
3. The system as set forth in claim 2 , wherein the one or more processors further perform an operation of evaluating communities within the network through analysis of global organization of motifs in the network, wherein a modularity function is defined in terms of motif structure according to the following: Q M = 1 M ∑ C i ∑ m i t ∈ C i f ( m i t ) - E [ f ( m i t ) ] , where M is the set of all motif instances in the network, and f(m i t ) denotes the frequency of a motif m i t within community C i , Σ is a summation, and E represents an expected value; wherein a parameter π is defined that captures total correlation between motifs in communities relative to their expected correlation according to the following:
π=Σ m i t ,m j u εM|t≠u,i≠j |ρ( m i t ,m j u )− E [ρ( m i t ,m j u )]|, where ρ(m i t , m j u ) is the correlation between the occurrences of the two motifs over all communities in the network. | 3. The system as set forth in claim 2 , wherein the one or more processors further perform an operation of evaluating communities within the network through analysis of global organization of motifs in the network, wherein a modularity function is defined in terms of motif structure according to the following: Q M = 1 M ∑ C i ∑ m i t ∈ C i f ( m i t ) - E [ f ( m i t ) ] , where M is the set of all motif instances in the network, and f(m i t ) denotes the frequency of a motif m i t within community C i , Σ is a summation, and E represents an expected value; wherein a parameter π is defined that captures total correlation between motifs in communities relative to their expected correlation according to the following:
π=Σ m i t ,m j u εM|t≠u,i≠j |ρ( m i t ,m j u )− E [ρ( m i t ,m j u )]|, where ρ(m i t , m j u ) is the correlation between the occurrences of the two motifs over all communities in the network. 4. The system as set forth in claim 3 , wherein the one or more processors further perform an operation of evaluating similarity of motifs in the network, where σ(m i t , m j u ) is a function over M that defines the similarity of any two motifs in the network, and wherein the similarity of an individual community C is defined as: τ ( C ) = 1 M C ∑ m i t , m j u ∈ C σ ( m i t , m j u ) · ( f ( m i t ) · f ( m j u ) ) , where M c is the set of motifs in C. | 0.724903 |
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. | 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. 20. The system of claim 16 , wherein the publisher is to indicate how the hash tags may affect a length limit of the new comment. | 0.544853 |
1. A method comprising: receiving, by a computer system, a content item from a communication channel, wherein: the content item comprises: a communication from an individual; and a statement by the individual, the statement comprising committing language about an intent to attend an event; identifying the event as a topic of interest in the content item; determining, by the computer system, a commitment score of the individual to attend the event by: calculating a strength value of the intent of the individual to attend the event by performing a natural language analysis of the committing language of the statement by the individual in the content item; calculating a sentiment value of the intent of the individual to attend the event by performing a semantic analysis on the content item, the semantic analysis comprising identifying a description of a probability related to the event identified in the content item; calculating a social impact value of the intent of the individual to attend the event by performing a social impact analysis of the content item based on a number of receiving subscribers to the content item on the communication channel; and calculating a magnitude value of the intent of the individual to attend the event by performing a magnitude of commitment analysis of the content item based on a cost of attending the event, wherein: the commitment score comprises a combination of the strength value, the sentiment value, the social impact value, and the magnitude value; and determining, by the computer system, an action based on the commitment score of the individual to attend the event. | 1. A method comprising: receiving, by a computer system, a content item from a communication channel, wherein: the content item comprises: a communication from an individual; and a statement by the individual, the statement comprising committing language about an intent to attend an event; identifying the event as a topic of interest in the content item; determining, by the computer system, a commitment score of the individual to attend the event by: calculating a strength value of the intent of the individual to attend the event by performing a natural language analysis of the committing language of the statement by the individual in the content item; calculating a sentiment value of the intent of the individual to attend the event by performing a semantic analysis on the content item, the semantic analysis comprising identifying a description of a probability related to the event identified in the content item; calculating a social impact value of the intent of the individual to attend the event by performing a social impact analysis of the content item based on a number of receiving subscribers to the content item on the communication channel; and calculating a magnitude value of the intent of the individual to attend the event by performing a magnitude of commitment analysis of the content item based on a cost of attending the event, wherein: the commitment score comprises a combination of the strength value, the sentiment value, the social impact value, and the magnitude value; and determining, by the computer system, an action based on the commitment score of the individual to attend the event. 5. The method of claim 1 , wherein the natural language analysis includes identifying an indication of a purchase in the content item. | 0.890422 |
14. A method of manufacturing a plurality of sheet materials, the method comprising the steps of: forming a first layer including first indicia; and forming a second layer having a removable portion including second indicia and a single non-removable portion positioned adjacent to the removable portion, the second indicia of the removable portion being (i) the same as the first indicia and (ii) positioned directly over the first indicia such that the removable portion of the second layer directly overlaps the first layer; wherein the removable portion of the second layer is selectively removable from the first layer; wherein the non-removable portion has a removal instruction thereon that is different than the second indicia of the removable portion of the second layer, the non-removable portion being non-removable from each respective sheet material such that the non-removable portion abuts only one side of the removable portion of the second layer; wherein the non-removable portion occupies a first surface area and each of the sheet materials occupies a second surface area, the first surface area being less than the second surface area; and wherein the removable portion including the second indicia of each of the plurality of sheet materials is collected and attached on a common sheet or within a single book. | 14. A method of manufacturing a plurality of sheet materials, the method comprising the steps of: forming a first layer including first indicia; and forming a second layer having a removable portion including second indicia and a single non-removable portion positioned adjacent to the removable portion, the second indicia of the removable portion being (i) the same as the first indicia and (ii) positioned directly over the first indicia such that the removable portion of the second layer directly overlaps the first layer; wherein the removable portion of the second layer is selectively removable from the first layer; wherein the non-removable portion has a removal instruction thereon that is different than the second indicia of the removable portion of the second layer, the non-removable portion being non-removable from each respective sheet material such that the non-removable portion abuts only one side of the removable portion of the second layer; wherein the non-removable portion occupies a first surface area and each of the sheet materials occupies a second surface area, the first surface area being less than the second surface area; and wherein the removable portion including the second indicia of each of the plurality of sheet materials is collected and attached on a common sheet or within a single book. 16. The method according to claim 14 , wherein the removal instruction on the non-removable portion triggers a user to remove the removable portion of the second layer of each of the plurality of sheet materials. | 0.623922 |
11. A method for extracting text in a legal document for preparation of headnotes, the method comprising: detecting one or more predetermined features in each sentence of the legal document, wherein the one or more predetermined features are based on grammatical constituents of text in the legal document; computing occurrence of the detected one or more predetermined features in each sentence of the legal document; assigning a score to each predetermined feature detected in each sentence by referring to feature graphs corresponding to each predetermined feature, wherein the feature graphs are retrieved from a repository; combining the assigned score in each sentence to obtain a final headnote score for each sentence; comparing the final headnote score with a predetermined threshold; tagging text in each sentence as headnote and non headnote based on the comparison; and rendering the legal document with text tagged as headnote on a user interface. | 11. A method for extracting text in a legal document for preparation of headnotes, the method comprising: detecting one or more predetermined features in each sentence of the legal document, wherein the one or more predetermined features are based on grammatical constituents of text in the legal document; computing occurrence of the detected one or more predetermined features in each sentence of the legal document; assigning a score to each predetermined feature detected in each sentence by referring to feature graphs corresponding to each predetermined feature, wherein the feature graphs are retrieved from a repository; combining the assigned score in each sentence to obtain a final headnote score for each sentence; comparing the final headnote score with a predetermined threshold; tagging text in each sentence as headnote and non headnote based on the comparison; and rendering the legal document with text tagged as headnote on a user interface. 14. The method of claim 11 , wherein detecting the one or more predetermined features in each sentence of the legal document comprises detecting the one or more predetermined features in each sentence of the legal document by referring to lexical, syntactic and semantic information stored in a knowledge repository. | 0.661538 |
15. The electronic device of claim 14 , wherein the processor is configured to send a scan networks request that is configured to cause the responding device to: in response to the scan networks request, scan for networks from one or more network interfaces of the responding device; and in response to a successful network scan, send a network scan complete message that includes a network list to the electronic device. | 15. The electronic device of claim 14 , wherein the processor is configured to send a scan networks request that is configured to cause the responding device to: in response to the scan networks request, scan for networks from one or more network interfaces of the responding device; and in response to a successful network scan, send a network scan complete message that includes a network list to the electronic device. 16. The electronic device of claim 15 , wherein the network scan complete message comprises: a result count field, wherein the result count field comprises an unsigned integer value that indicates a number of networks detected during the scan; and a scan results field, wherein the scan results field comprises information about each network. | 0.802063 |
1. A document proofing support apparatus comprising: an input unit configured to receive input of one of at least one proof document and at least one entry document, the proof document including one or more sentences that is to be subjected to a proofing process, the entry document including one or more sentences that is to be subjected to an entry process; an analysis unit configured to perform a morphological analysis, a syntactic analysis and a dependency analysis on each of sentences included in the entry document and generate analysis information including a dependency relation that indicates a semantic connection between words, and to perform a morphological analysis on each of sentences included in the proof document and generate morphological analysis information; a detection unit configured to detect as a possible coined word character string a compound word having a nominal continuation relation by referring to the morphological analysis information, the nominal continuation relation being a relation of two or more consecutive words that can be nouns; a database unit configured to store syntactic information on a correspondence between a sentence included in the entry document and the analysis information; a retrieval unit configured to retrieve whether or not a dependency relation sentence exists, the dependency relation sentence including component words of the possible coined word character string as case elements and having a dependency relation other than the nominal continuation relation between the component words, and to determine the possible coined word character string as a coined word if the dependency relation sentence exists; and a display unit configured to display a message including the coined word. | 1. A document proofing support apparatus comprising: an input unit configured to receive input of one of at least one proof document and at least one entry document, the proof document including one or more sentences that is to be subjected to a proofing process, the entry document including one or more sentences that is to be subjected to an entry process; an analysis unit configured to perform a morphological analysis, a syntactic analysis and a dependency analysis on each of sentences included in the entry document and generate analysis information including a dependency relation that indicates a semantic connection between words, and to perform a morphological analysis on each of sentences included in the proof document and generate morphological analysis information; a detection unit configured to detect as a possible coined word character string a compound word having a nominal continuation relation by referring to the morphological analysis information, the nominal continuation relation being a relation of two or more consecutive words that can be nouns; a database unit configured to store syntactic information on a correspondence between a sentence included in the entry document and the analysis information; a retrieval unit configured to retrieve whether or not a dependency relation sentence exists, the dependency relation sentence including component words of the possible coined word character string as case elements and having a dependency relation other than the nominal continuation relation between the component words, and to determine the possible coined word character string as a coined word if the dependency relation sentence exists; and a display unit configured to display a message including the coined word. 3. The apparatus according to claim 1 , wherein the detection unit detects as the possible coined word character string a consecutive compound word having two or more words which can be interpreted as nouns and also as a noun and a verb, when the proof document is in Chinese. | 0.514892 |
1. A method of searching information using web, comprising: generating a basic word vector about at least one of a provided user query and a linguistic analysis result, and searching a vector space corresponding to the basic word vector in a vector space database using the at least one basic word vector; determining a degree of similarity between the basic word vector and the searched vector space; generating an expanded word vector based on a web search result performed using at least one of the provided user query and the linguistic analysis result, and searching a vector space corresponding to the expanded word vector in the vector space database using the expanded word vector, when the degree of similarity is equal to or less than a threshold value; and searching knowledge information based on the searched vector spaces in the basic search step or in the expanded search step. | 1. A method of searching information using web, comprising: generating a basic word vector about at least one of a provided user query and a linguistic analysis result, and searching a vector space corresponding to the basic word vector in a vector space database using the at least one basic word vector; determining a degree of similarity between the basic word vector and the searched vector space; generating an expanded word vector based on a web search result performed using at least one of the provided user query and the linguistic analysis result, and searching a vector space corresponding to the expanded word vector in the vector space database using the expanded word vector, when the degree of similarity is equal to or less than a threshold value; and searching knowledge information based on the searched vector spaces in the basic search step or in the expanded search step. 2. The method of claim 1 , wherein the basic word vector, the expanded word vector and vector spaces stored in the vector space database include at least one of words, weighting information on the words, and structural information on the words. | 0.680843 |
10. One or more computer-storage media devices embodying computer-useable instructions that, when employed by a computing device, cause the computing device to perform a method comprising: receiving a grammar usable by a search engine device to route search queries to corresponding domains of information to find and return information for the search queries, the grammar comprising a plurality of rules, each rule comprising a sequence of token classes used to describe search queries, each token class comprising a logical grouping of tokens, each token comprising a string of one or more characters; parsing the grammar to identify the plurality of rules and token classes; eliminating, from the grammar, any duplicate rules identified from parsing the grammar; assigning a score to each rule indicative of an importance of each rule to the grammar, wherein the score for each rule is based at least in part on the frequency with which each rule corresponds with search queries contained in query logs; identifying one or more rules as important rules based on the one or more rules having a high score indicative of a high importance to the grammar; removing the one or more important rules from consideration for compression; identifying, from the token classes, two or more unimportant token classes that are eligible for compression and at least one important token class that is not eligible for compression; breaking at least one rule into a plurality of sub-rules based on important token classes, wherein each sub-rule includes a portion of the token classes from the at least one rule and each sub-rule begins and ends with an important token class and wherein a beginning token class and ending token class in each rule is treated as an important token class for purposes of breaking each rule into the plurality of sub-rules; identifying one or more sub-rules containing only important token classes; removing the one or more sub-rules containing only important token classes from consideration for compression; eliminating, from the grammar, any duplicate sub-rules identified; analyzing the plurality of sub-rules to identify at least one set of sub-rules as compression candidates; analyzing the unimportant token classes in the at least one set of sub-rules to identify two or more unimportant token classes for compression; merging the two or more unimportant token classes from the at least one set of sub-rules to generate a merged token class; substituting the merged token class in the grammar for the two or more unimportant token classes that were merged to generate the merged token class; and eliminating any duplicate sub-rules and any duplicate rules after substituting the merged token classes in the grammar to generate a compressed grammar. | 10. One or more computer-storage media devices embodying computer-useable instructions that, when employed by a computing device, cause the computing device to perform a method comprising: receiving a grammar usable by a search engine device to route search queries to corresponding domains of information to find and return information for the search queries, the grammar comprising a plurality of rules, each rule comprising a sequence of token classes used to describe search queries, each token class comprising a logical grouping of tokens, each token comprising a string of one or more characters; parsing the grammar to identify the plurality of rules and token classes; eliminating, from the grammar, any duplicate rules identified from parsing the grammar; assigning a score to each rule indicative of an importance of each rule to the grammar, wherein the score for each rule is based at least in part on the frequency with which each rule corresponds with search queries contained in query logs; identifying one or more rules as important rules based on the one or more rules having a high score indicative of a high importance to the grammar; removing the one or more important rules from consideration for compression; identifying, from the token classes, two or more unimportant token classes that are eligible for compression and at least one important token class that is not eligible for compression; breaking at least one rule into a plurality of sub-rules based on important token classes, wherein each sub-rule includes a portion of the token classes from the at least one rule and each sub-rule begins and ends with an important token class and wherein a beginning token class and ending token class in each rule is treated as an important token class for purposes of breaking each rule into the plurality of sub-rules; identifying one or more sub-rules containing only important token classes; removing the one or more sub-rules containing only important token classes from consideration for compression; eliminating, from the grammar, any duplicate sub-rules identified; analyzing the plurality of sub-rules to identify at least one set of sub-rules as compression candidates; analyzing the unimportant token classes in the at least one set of sub-rules to identify two or more unimportant token classes for compression; merging the two or more unimportant token classes from the at least one set of sub-rules to generate a merged token class; substituting the merged token class in the grammar for the two or more unimportant token classes that were merged to generate the merged token class; and eliminating any duplicate sub-rules and any duplicate rules after substituting the merged token classes in the grammar to generate a compressed grammar. 19. The one or more computer-storage media devices of claim 10 , wherein merging the two or more unimportant token classes from the at least one set of sub-rules to generate a merged token class comprises generating a duplicate-free union of tokens included in each of the two or more unimportant token classes from the at least one set of sub-rules. | 0.518563 |
2. The method of claim 1 , further comprising: at the processor: receiving the source file for preprocessing, wherein the source file comprises source code and is written in the client-side scripting language; parsing the source file and identifying directive information for the preprocessed directive within the source code of the source file, wherein the directive information comprises: data on the at least the portion of the client-side scripting language file and a mode; and wherein the step of creating comprises: creating the version of the source file for the mode that comprises: the source code from the source file and the at least the portion of the client-side scripting language file. | 2. The method of claim 1 , further comprising: at the processor: receiving the source file for preprocessing, wherein the source file comprises source code and is written in the client-side scripting language; parsing the source file and identifying directive information for the preprocessed directive within the source code of the source file, wherein the directive information comprises: data on the at least the portion of the client-side scripting language file and a mode; and wherein the step of creating comprises: creating the version of the source file for the mode that comprises: the source code from the source file and the at least the portion of the client-side scripting language file. 4. The method of claim 2 , wherein the mode is development mode. | 0.979193 |
10. A system having a memory and a processor for representing a document specific to a domain for interaction with a user, comprising: a domain-to-abstract language component configured to transform a domain language document in a domain language to an abstract language document in an abstract language at least in part by mapping elements of the domain language document to abstract language elements of the abstract language, wherein the domain-to-abstract language component is specific to the domain of the domain language document and wherein the abstract language represents the abstract language document in a set of domain-independent terms; an abstract-to-concrete language component configured to transform the abstract language document in the abstract language to a concrete language document in a concrete language at least in part by mapping elements of the abstract language document to concrete language elements of the concrete language based on two or more notational choices received from the user, wherein the abstract-to-concrete language component is independent of the domain of the domain language document and wherein the concrete language represents the concrete language document after a specific set of marks has been chosen, and wherein the concrete language document is based on each of the two or more notational choices received from the user; and a concrete-to-graphical language component configured to transform the concrete language document in the concrete language to a graphical language document in a graphical language at least in part by mapping elements of the concrete language document to graphical language elements of the graphical language based on dimensions of a display area, wherein the concrete-to-graphical language component is independent of the domain of the domain language document, wherein each notational choice specifies how at least one type of item in the graphical language document is to be formatted when displayed, wherein a first type of items are programming blocks so that a first notational choice specifies how programming blocks are to be formatted when displayed, wherein the document includes at least one programming block, and wherein each of the components comprises computer-executable instructions stored in the memory for execution by the system. | 10. A system having a memory and a processor for representing a document specific to a domain for interaction with a user, comprising: a domain-to-abstract language component configured to transform a domain language document in a domain language to an abstract language document in an abstract language at least in part by mapping elements of the domain language document to abstract language elements of the abstract language, wherein the domain-to-abstract language component is specific to the domain of the domain language document and wherein the abstract language represents the abstract language document in a set of domain-independent terms; an abstract-to-concrete language component configured to transform the abstract language document in the abstract language to a concrete language document in a concrete language at least in part by mapping elements of the abstract language document to concrete language elements of the concrete language based on two or more notational choices received from the user, wherein the abstract-to-concrete language component is independent of the domain of the domain language document and wherein the concrete language represents the concrete language document after a specific set of marks has been chosen, and wherein the concrete language document is based on each of the two or more notational choices received from the user; and a concrete-to-graphical language component configured to transform the concrete language document in the concrete language to a graphical language document in a graphical language at least in part by mapping elements of the concrete language document to graphical language elements of the graphical language based on dimensions of a display area, wherein the concrete-to-graphical language component is independent of the domain of the domain language document, wherein each notational choice specifies how at least one type of item in the graphical language document is to be formatted when displayed, wherein a first type of items are programming blocks so that a first notational choice specifies how programming blocks are to be formatted when displayed, wherein the document includes at least one programming block, and wherein each of the components comprises computer-executable instructions stored in the memory for execution by the system. 17. The system of claim 10 including a pending language component that represents intermediate changes to the document that are invalid for the domain and cannot be stored in the domain language. | 0.570093 |
1. A computer-implemented method comprising: selecting a predetermined voice command which, when spoken by a user during a conversation with another person, informs a wearable computer device that an event is occurring, and that prompts the wearable computer device to store an audio clip surrounding the event in a memory for later retrieval; using audio signals received through an environmental microphone of an audio-only user interface of the wearable computer device to generate digital audio data; buffering the digital audio data in a scrolling audio buffer of the wearable computer device for a predetermined period of time; using audio signals received through a personal microphone of the audio-only user interface of the wearable computer device to determine that the user has spoken the predetermined voice command; and responsive to determining that the user has spoken the predetermined voice command, storing the audio clip in the memory for later retrieval, the audio clip including at least a portion of the digital audio data buffered in the scrolling audio buffer before the predetermined voice command was spoken, and at least a portion of the digital audio data buffered in the scrolling audio buffer after the predetermined voice command was spoken. | 1. A computer-implemented method comprising: selecting a predetermined voice command which, when spoken by a user during a conversation with another person, informs a wearable computer device that an event is occurring, and that prompts the wearable computer device to store an audio clip surrounding the event in a memory for later retrieval; using audio signals received through an environmental microphone of an audio-only user interface of the wearable computer device to generate digital audio data; buffering the digital audio data in a scrolling audio buffer of the wearable computer device for a predetermined period of time; using audio signals received through a personal microphone of the audio-only user interface of the wearable computer device to determine that the user has spoken the predetermined voice command; and responsive to determining that the user has spoken the predetermined voice command, storing the audio clip in the memory for later retrieval, the audio clip including at least a portion of the digital audio data buffered in the scrolling audio buffer before the predetermined voice command was spoken, and at least a portion of the digital audio data buffered in the scrolling audio buffer after the predetermined voice command was spoken. 10. The method of claim 1 , further comprising uploading the audio clip to a remote computing device. | 0.633091 |
1. A method of searching for desired information, the method comprising: receiving, from a user having user profile data associated therewith, a first search request comprising a first search argument indicative of desired information; correlating, using at least one non-precise technique, the first search argument and the user profile data to first particular information in a database; providing the first particular information to the user as a first search result; updating the user profile data based on at least one of the first search argument, user selection of certain of the first particular information in the first search result, and user non-selection of certain of the first particular information in the first search result; receiving from the user a subsequent search request comprising a subsequent search argument indicative of the desired information; correlating, using the at least one non-precise technique, the received subsequent search argument and the updated user profile data to subsequent particular information in the database to provide a subsequent search result; and providing the subsequent search result to the user. | 1. A method of searching for desired information, the method comprising: receiving, from a user having user profile data associated therewith, a first search request comprising a first search argument indicative of desired information; correlating, using at least one non-precise technique, the first search argument and the user profile data to first particular information in a database; providing the first particular information to the user as a first search result; updating the user profile data based on at least one of the first search argument, user selection of certain of the first particular information in the first search result, and user non-selection of certain of the first particular information in the first search result; receiving from the user a subsequent search request comprising a subsequent search argument indicative of the desired information; correlating, using the at least one non-precise technique, the received subsequent search argument and the updated user profile data to subsequent particular information in the database to provide a subsequent search result; and providing the subsequent search result to the user. 10. The method of claim 1 , comprising maintaining the user profile data from at least one of past search sessions of the user and historical data gathered on buying habits of the user. | 0.514366 |
29. The method of claim 21 , wherein the requesting device is to: operate an input device and a display device to provide a user interface (UI) to enable receipt of commands to edit the visualization; receive the command from the input device to change a visual indication of a dependency in the visualization between two visual representations of task routines in the visualization; and in response to receipt of the command, perform the change specified in the command in the visual indication of a dependency in the visualization as part of the generation of the second DAG from the first DAG to generate the second job flow of the analysis routine from the first job flow of the first analysis routine. | 29. The method of claim 21 , wherein the requesting device is to: operate an input device and a display device to provide a user interface (UI) to enable receipt of commands to edit the visualization; receive the command from the input device to change a visual indication of a dependency in the visualization between two visual representations of task routines in the visualization; and in response to receipt of the command, perform the change specified in the command in the visual indication of a dependency in the visualization as part of the generation of the second DAG from the first DAG to generate the second job flow of the analysis routine from the first job flow of the first analysis routine. 30. The method of claim 29 , comprising: in response to receipt of the second request, retrieving task routine identifiers for all task routines identified in the second DAG and data object identifiers for all data objects identified in the second DAG; using the task routine identifiers retrieved from the second DAG to to make the determination of whether each task routine identified in the second DAG is stored within the at least one federated area or is included in the second request; and using the data object identifiers retrieved from the second DAG to to make the determination of whether each task data object identified in the second DAG is stored within the at least one federated area or is included in the second request. | 0.929041 |
1. A method implemented on a computer having at least one processor, storage, and a communication platform for providing translated web content, comprising the steps of: receiving a request, via a public network connection, from an online user for consuming content in a second language translated from content in a first language; obtaining, upon receiving the request, the content in the first language from an Internet source that hosts the content in the first language; dividing the obtained content in the first language into a plurality of translatable components; determining, with respect to each of the plurality of translatable components, whether there is a corresponding translated component previously stored; generating, if a number of translatable components that have corresponding translated components exceeds a threshold, the content in the second language by replacing each of the number of translatable components with a corresponding translated component; automatically placing an address of the content in the first language onto a translation queue, if the number of translatable components that have corresponding translated components does not exceed the threshold, so that the content in the first language represented by the address is to be translated via machine translation with human post-editing to create the content in the second language; and sending the content in the second language to the online user as a response to the request. | 1. A method implemented on a computer having at least one processor, storage, and a communication platform for providing translated web content, comprising the steps of: receiving a request, via a public network connection, from an online user for consuming content in a second language translated from content in a first language; obtaining, upon receiving the request, the content in the first language from an Internet source that hosts the content in the first language; dividing the obtained content in the first language into a plurality of translatable components; determining, with respect to each of the plurality of translatable components, whether there is a corresponding translated component previously stored; generating, if a number of translatable components that have corresponding translated components exceeds a threshold, the content in the second language by replacing each of the number of translatable components with a corresponding translated component; automatically placing an address of the content in the first language onto a translation queue, if the number of translatable components that have corresponding translated components does not exceed the threshold, so that the content in the first language represented by the address is to be translated via machine translation with human post-editing to create the content in the second language; and sending the content in the second language to the online user as a response to the request. 5. The method of claim 1 , wherein the online user triggers but does not participate in creating the content in the second language based on the content in the first language. | 0.5 |
21. A method of populating a document with digital information content, said method comprising: launching an information management software application on a computer-based platform; opening a data drop window within said information management software application; selecting a first digital file having a first digital data content using said information management software application; dragging and dropping said selected first digital file into said data drop window using said information management software application; launching a third-party document generation application on said computer-based platform; selecting a predefined document layout and opening a third-party document having said selected document layout using said third-party document generation application; and said third-party document generation application communicating with said information management software application to populate said third-party document with digital data content from said data drop window. | 21. A method of populating a document with digital information content, said method comprising: launching an information management software application on a computer-based platform; opening a data drop window within said information management software application; selecting a first digital file having a first digital data content using said information management software application; dragging and dropping said selected first digital file into said data drop window using said information management software application; launching a third-party document generation application on said computer-based platform; selecting a predefined document layout and opening a third-party document having said selected document layout using said third-party document generation application; and said third-party document generation application communicating with said information management software application to populate said third-party document with digital data content from said data drop window. 43. The method of claim 21 wherein said third-party document generation application comprises a slide presentation software application. | 0.798851 |
1. A method comprising: receiving a spoken search request; decoding said spoken search request into a sequence of words; processing said sequence of words using a normalizing language model to determine a plurality of sets of normalized words representing said spoken search request, at least one of said words being a homonym; said normalizing language model comprising homonym rules defining a plurality of display forms for a homonym; and generating said plurality of sets of words in said display form. | 1. A method comprising: receiving a spoken search request; decoding said spoken search request into a sequence of words; processing said sequence of words using a normalizing language model to determine a plurality of sets of normalized words representing said spoken search request, at least one of said words being a homonym; said normalizing language model comprising homonym rules defining a plurality of display forms for a homonym; and generating said plurality of sets of words in said display form. 7. The method of claim 1 , said processing being performed by a mobile device. | 0.628467 |
1. A computer-based system for generating meaningful symbolic debug information for a source code, adapted for use in translator-based software compilers, the system comprising: (1) first means for generating a translator debug information for the source code; (2) second means comprising: (a) means for generating an object code for the source code; (b) means for generating a compiler debug information for the source code; and (c) means for storing said object code and said compiler debug information in a first object code file; and (3) third means for merging said translator and compiler debug information to form final debug information for the source code, wherein said final debug information completely and accurately represents the source code. | 1. A computer-based system for generating meaningful symbolic debug information for a source code, adapted for use in translator-based software compilers, the system comprising: (1) first means for generating a translator debug information for the source code; (2) second means comprising: (a) means for generating an object code for the source code; (b) means for generating a compiler debug information for the source code; and (c) means for storing said object code and said compiler debug information in a first object code file; and (3) third means for merging said translator and compiler debug information to form final debug information for the source code, wherein said final debug information completely and accurately represents the source code. 9. The system of claim 1, wherein said compiler debug information includes information regarding machine addresses and architecture, but does not completely and accurately reflect the structure of said source code. | 0.690242 |
1. A method, comprising: receiving a chart generated via a technical computing environment, the chart including a textual portion and a graphical portion, the graphical portion including state information and time or event-based conditions, and the receiving the chart being performed by a device; parsing the chart into the textual portion and the graphical portion, the parsing being performed by the device; processing the textual portion with a textual engine of the technical computing environment to generate textual results, the processing the textual portion being performed by the device; transforming a portion of the graphical portion, which is not understood by a graphical engine of the technical computing environment, into a transformed graphical portion that is understood by the graphical engine, the transforming the portion of the graphical portion into the transformed graphical portion including: providing text included in the graphical portion to a transformer, and transforming, with the transformer, the text included in the graphical not being understood by the graphical engine, the text included in the graphical portion not being understood by the graphical engine, the transforming being performed by the device; processing the transformed graphical portion with a graphical engine of the technical computing environment to generate graphical results, the processing the transformed graphical portion with the graphical engine including: calculating the time or an event at which to execute the text including in the graphical portion based on transforming the text included in the graphical portion, the processing the transformed graphical portion being performed by the device; combining the textual results with the graphical results to generate chart results, the combining being performed by the device; and outputting or storing the chart results, the outputting or storing being performed by the device. | 1. A method, comprising: receiving a chart generated via a technical computing environment, the chart including a textual portion and a graphical portion, the graphical portion including state information and time or event-based conditions, and the receiving the chart being performed by a device; parsing the chart into the textual portion and the graphical portion, the parsing being performed by the device; processing the textual portion with a textual engine of the technical computing environment to generate textual results, the processing the textual portion being performed by the device; transforming a portion of the graphical portion, which is not understood by a graphical engine of the technical computing environment, into a transformed graphical portion that is understood by the graphical engine, the transforming the portion of the graphical portion into the transformed graphical portion including: providing text included in the graphical portion to a transformer, and transforming, with the transformer, the text included in the graphical not being understood by the graphical engine, the text included in the graphical portion not being understood by the graphical engine, the transforming being performed by the device; processing the transformed graphical portion with a graphical engine of the technical computing environment to generate graphical results, the processing the transformed graphical portion with the graphical engine including: calculating the time or an event at which to execute the text including in the graphical portion based on transforming the text included in the graphical portion, the processing the transformed graphical portion being performed by the device; combining the textual results with the graphical results to generate chart results, the combining being performed by the device; and outputting or storing the chart results, the outputting or storing being performed by the device. 3. The method of claim 1 , where receiving the chart further comprises: providing, for display, a user interface for creating the chart; receiving, via the user interface, a graphical hierarchy of state blocks for the chart; receiving, via the user interface, connections for the state blocks of the graphical hierarchy; receiving, via the user interface, graphical symbols associated with the state blocks, the state blocks, the connections, and the graphical symbols being part of the graphical portion of the chart; and receiving, via the user interface, textual code for the chart, the textual code being part of the textual portion of the chart. | 0.54082 |
35. A system comprising: a client device to: constrain an executable environment in a security sandbox, and execute a sandboxed application in the constrained executable environment; and a networked device to execute a sandbox reachable service thereon, the client device and the networked device are associated with each other through the sandboxed application by way of the sandbox reachable service using a communication provided by the networked device, wherein at least one of: the networked device and the client device is configured to apply an automatic content recognition algorithm to determine a content identifier of an audio-visual data and to associate the content identifier with an advertisement data based on a semantic correlation between a metadata of the advertisement data provided by a content provider and the content identifier, wherein the at least one of the networked device and the client device is configured to target the advertisement data at a corresponding at least one of: the client device and the networked device based on the association of the content identifier with the advertisement data and the association between the client device and the networked device, and wherein targeting of the advertisement data is improved based on embedding a script in at least one of the client device, a supply-side platform, and a data provider integrated with the supply side platform to enable execution of arbitrary cross-site scripts through the sandboxed application. | 35. A system comprising: a client device to: constrain an executable environment in a security sandbox, and execute a sandboxed application in the constrained executable environment; and a networked device to execute a sandbox reachable service thereon, the client device and the networked device are associated with each other through the sandboxed application by way of the sandbox reachable service using a communication provided by the networked device, wherein at least one of: the networked device and the client device is configured to apply an automatic content recognition algorithm to determine a content identifier of an audio-visual data and to associate the content identifier with an advertisement data based on a semantic correlation between a metadata of the advertisement data provided by a content provider and the content identifier, wherein the at least one of the networked device and the client device is configured to target the advertisement data at a corresponding at least one of: the client device and the networked device based on the association of the content identifier with the advertisement data and the association between the client device and the networked device, and wherein targeting of the advertisement data is improved based on embedding a script in at least one of the client device, a supply-side platform, and a data provider integrated with the supply side platform to enable execution of arbitrary cross-site scripts through the sandboxed application. 36. The system of claim 35 : wherein a communication session is established between the sandboxed application and the sandbox reachable service by appending a header of a hypertext transfer protocol to permit the networked device to communicate with the sandboxed application as a permitted origin domain through a CORS algorithm, the header being either one of a origin header when the CORS algorithm is applied and a referrer header in an alternate algorithm, wherein the sandboxed application queries a MAC address of the sandbox reachable service in a common private network, wherein the sandbox reachable service optionally verifies that the sandboxed application is in the common private network, wherein the sandbox reachable service communicates a MAC address of the sandboxed application to the sandboxed application when the common private network is shared, wherein the sandboxed application stores the MAC address of the sandboxed application and a unique identifier derived from the MAC address of the sandboxed application, wherein the sandboxed application communicates the MAC address and the unique identifier to a pairing server of the system, and wherein the script embedded in the at least one of the client device, the supply-side platform, and the data provider integrated with the supply side platform is automatically regenerated when the common private network is shared by the sandboxed application and sandboxed reachable service based on the MAC address of the sandboxed application and the unique identifier communicated to the pairing server. | 0.794204 |
9. The machine-readable medium of claim 7 wherein computing a matrix decomposition using the cortical representation of the training set includes: forming a kernel matrix using the cortical representation of the training set; and computing an eigendecomposition of the kernel matrix, wherein the eigendecomposition is the matrix decomposition. | 9. The machine-readable medium of claim 7 wherein computing a matrix decomposition using the cortical representation of the training set includes: forming a kernel matrix using the cortical representation of the training set; and computing an eigendecomposition of the kernel matrix, wherein the eigendecomposition is the matrix decomposition. 11. The machine-readable medium of claim 9 wherein the kernel matrix is represented explicitly, and the process computes the LOO error for all the regularization parameters in O(n 3 +n 2 d) time and O(n 2 ) space, where n is the number of points in d dimensions of the cortical representation of the training set. | 0.837586 |
40. A non-transitory computer readable medium encoded with a computer program including instructions to cause a processor to: analyze electronic messages of a first user with respect to one or more features associated with the electronic messages; associate descriptive tags with the electronic messages of the first user based on analysis results; and perform tasks with respect to the electronic messages of the first user, on behalf of the first user, based on the descriptive tags associated with the respective electronic messages; wherein the computer program further includes instructions to cause the processor to learn electronic message tagging rules based one or more of a statistical machine learning technique and a parser, and associate the descriptive tags with the electronic messages of the first user based on features associated with the electronic messages and the learned electronic message tagging rules. | 40. A non-transitory computer readable medium encoded with a computer program including instructions to cause a processor to: analyze electronic messages of a first user with respect to one or more features associated with the electronic messages; associate descriptive tags with the electronic messages of the first user based on analysis results; and perform tasks with respect to the electronic messages of the first user, on behalf of the first user, based on the descriptive tags associated with the respective electronic messages; wherein the computer program further includes instructions to cause the processor to learn electronic message tagging rules based one or more of a statistical machine learning technique and a parser, and associate the descriptive tags with the electronic messages of the first user based on features associated with the electronic messages and the learned electronic message tagging rules. 41. The non-transitory computer readable medium of claim 40 , further including instructions to cause the processor to: perform one more of parse syntactic features associated with the electronic messages, recognize named entities associated with the electronic messages, recognize acronyms associated with the electronic messages, detect sentiments expressed within the electronic messages, determine semantic roles associated with the electronic messages, and determine relationships amongst senders and recipients of the electronic messages with respect to an implied social graph; and associate descriptive tags with the electronic messages based on one or more of the parsed syntactic features, the recognized named entities, the recognized acronyms, the sentiments, the determined semantic roles, and the determined relationships amongst the senders and recipients of the electronic messages with respect to the implied social graph. | 0.601449 |
8. A computer implemented method comprising a plurality of operations performed on a computer or a machine, the operations including: propagating a plurality of string values to compressed leaf data of a shared-leaves structure of a dictionary via an encode index; obtaining a plurality of order-preserving integer codes for the plurality of string values via an lookup operation; if a subset of the plurality of order-preserving integer codes was not found during obtaining, inserting a subset of the plurality of string values for which the subset of the plurality of order-preserving integer codes was not found into the shared-leaves structure; generating the subset of the plurality of order-preserving integer codes for a corresponding subset of the plurality of string values; and providing a list of the plurality of order-preserving integer codes, the list including the generated subset of the plurality of order-preserving integer codes. | 8. A computer implemented method comprising a plurality of operations performed on a computer or a machine, the operations including: propagating a plurality of string values to compressed leaf data of a shared-leaves structure of a dictionary via an encode index; obtaining a plurality of order-preserving integer codes for the plurality of string values via an lookup operation; if a subset of the plurality of order-preserving integer codes was not found during obtaining, inserting a subset of the plurality of string values for which the subset of the plurality of order-preserving integer codes was not found into the shared-leaves structure; generating the subset of the plurality of order-preserving integer codes for a corresponding subset of the plurality of string values; and providing a list of the plurality of order-preserving integer codes, the list including the generated subset of the plurality of order-preserving integer codes. 11. The method of claim 8 , wherein obtaining the plurality of order-preserving integer codes further comprises executing a sequential search operation over the compressed leaf data without decompression of the compressed leaf data. | 0.597843 |
1. A computer implemented method for modeling an integrated circuit comprising the steps of: establishing by a computer, functional cores of a first software model of an integrated circuit; forming by the computer, high level modules of the first software model by selectively attaching interface code to the functional cores such that the functional cores cooperatively engage to an external environment; creating by the computer, one or more hardware description language modules of the integrated circuit; generating by the computer, the interface code with an interface generator from hardware specification inputs; providing by the computer, the interface code to one or more wrappers, either separately or as an integral part and wherein the one or more wrappers are applied to the same functional cores; refining by the computer, the first software model to provide a second software model, such that designs of the integrated circuit are explored, algorithms of the integrated circuit are appraised and design restrictions of the integrated circuit are reduced; and verifying by the computer, output of the hardware description language modules against output of high level modules of the second software model. | 1. A computer implemented method for modeling an integrated circuit comprising the steps of: establishing by a computer, functional cores of a first software model of an integrated circuit; forming by the computer, high level modules of the first software model by selectively attaching interface code to the functional cores such that the functional cores cooperatively engage to an external environment; creating by the computer, one or more hardware description language modules of the integrated circuit; generating by the computer, the interface code with an interface generator from hardware specification inputs; providing by the computer, the interface code to one or more wrappers, either separately or as an integral part and wherein the one or more wrappers are applied to the same functional cores; refining by the computer, the first software model to provide a second software model, such that designs of the integrated circuit are explored, algorithms of the integrated circuit are appraised and design restrictions of the integrated circuit are reduced; and verifying by the computer, output of the hardware description language modules against output of high level modules of the second software model. 11. The computer implemented method according to claim 1 , wherein the interface generator further selectively generates one or more data structures, hardware description language shell modules, transactors, data conversion wrappers and direct programming interface wrappers and adapters. | 0.565068 |
1. A computer-implemented method comprising: executing, by a device, a cross-platform application programming interface (API), wherein the cross-platform API includes functionality to support a plurality of applications, wherein execution of one of the plurality of the applications includes interaction between a plurality of entities within a local network, and wherein the cross-platform API implements a request from the application for the device to participate in a unique conversation, wherein the unique conversation is identified by a topic and independent of a unique identifier for entities, the cross-platform API provides the application an abstracted discovery mechanism by which the application causes the device to discover an entity that is accessible on the local network participating in the unique conversation, wherein the abstracted discovery mechanism performs said discovery by sending messages according to a plurality of underlying discovery protocols and monitoring for a message utilizing one of the plurality of underlying discover protocols from the entity, the sending and monitoring of messages including: sending a first message according to a first of the plurality of underlying discovery protocols, monitoring for a second message utilizing the first discovery protocol from the entity, determining that the second message has not been received, sending, in response to determining that the second message has not been received, a third message according to a second of the plurality of underlying discovery protocols, and receiving a fourth message utilizing the second discovery protocol from the entity, and the cross-platform API provides the application with a message passing mechanism by which the application causes the device to exchange messages related to the unique conversation with the entity. | 1. A computer-implemented method comprising: executing, by a device, a cross-platform application programming interface (API), wherein the cross-platform API includes functionality to support a plurality of applications, wherein execution of one of the plurality of the applications includes interaction between a plurality of entities within a local network, and wherein the cross-platform API implements a request from the application for the device to participate in a unique conversation, wherein the unique conversation is identified by a topic and independent of a unique identifier for entities, the cross-platform API provides the application an abstracted discovery mechanism by which the application causes the device to discover an entity that is accessible on the local network participating in the unique conversation, wherein the abstracted discovery mechanism performs said discovery by sending messages according to a plurality of underlying discovery protocols and monitoring for a message utilizing one of the plurality of underlying discover protocols from the entity, the sending and monitoring of messages including: sending a first message according to a first of the plurality of underlying discovery protocols, monitoring for a second message utilizing the first discovery protocol from the entity, determining that the second message has not been received, sending, in response to determining that the second message has not been received, a third message according to a second of the plurality of underlying discovery protocols, and receiving a fourth message utilizing the second discovery protocol from the entity, and the cross-platform API provides the application with a message passing mechanism by which the application causes the device to exchange messages related to the unique conversation with the entity. 4. The computer-implemented method of claim 1 , wherein the plurality of applications supported by the cross-platform API include a variety of types of applications. | 0.558429 |
21. A computer system for implementing a method for monitoring and maintaining an acceptable use policy for computer network usage, the computer system comprising: a machine capable of executing instructions embodied as software; and a plurality of software portions in which one of said software portions is configured to capture data on a network, wherein the data comprises multiple half sessions of TCP/IP network communications; one of said software portions is configured to remove data content that does not contain language elements; one of said software portions is configured to test the remaining content for the presence of predetermined expressions, wherein the predetermined expressions comprise two or more categories each containing predetermined expressions that are defined by a user and are weighted with positive and negative values, wherein said testing first tests the remaining content for the presence of the negative valued predetermined expressions; one of said software portions is configured to maintain a sum of values associated with said predetermined expressions found within at least one category as each predetermined expression is found by said testing by adding the value of the found predetermined expression to the sum of values; and one of said software portions is configured to store the remaining data and halt the testing when the sum of values associated with said predetermined expressions within a category meets or exceeds a positive threshold value selected based on user input, wherein at least one stored half session comprises a plurality of independent parts, and the testing is performed individually on each independent part. | 21. A computer system for implementing a method for monitoring and maintaining an acceptable use policy for computer network usage, the computer system comprising: a machine capable of executing instructions embodied as software; and a plurality of software portions in which one of said software portions is configured to capture data on a network, wherein the data comprises multiple half sessions of TCP/IP network communications; one of said software portions is configured to remove data content that does not contain language elements; one of said software portions is configured to test the remaining content for the presence of predetermined expressions, wherein the predetermined expressions comprise two or more categories each containing predetermined expressions that are defined by a user and are weighted with positive and negative values, wherein said testing first tests the remaining content for the presence of the negative valued predetermined expressions; one of said software portions is configured to maintain a sum of values associated with said predetermined expressions found within at least one category as each predetermined expression is found by said testing by adding the value of the found predetermined expression to the sum of values; and one of said software portions is configured to store the remaining data and halt the testing when the sum of values associated with said predetermined expressions within a category meets or exceeds a positive threshold value selected based on user input, wherein at least one stored half session comprises a plurality of independent parts, and the testing is performed individually on each independent part. 26. The method of claim 21 , wherein said threshold value for a category is variable. | 0.642336 |
57. The system of claim 56 further comprising means for user to submit said case submission form to the system. | 57. The system of claim 56 further comprising means for user to submit said case submission form to the system. 58. The system of claim 57 wherein means for user to submit said case submission form to the system comprises the internet. | 0.971958 |
8. A method according to claim 6 , wherein the windows are overlapping and the step of segmenting comprises segmenting the audio stream into the overlapping windows. | 8. A method according to claim 6 , wherein the windows are overlapping and the step of segmenting comprises segmenting the audio stream into the overlapping windows. 21. A method according to claim 8 , wherein said step of analyzing comprises step for analyzing each window in a speech discriminator. | 0.960388 |
6. A user interface, produced by, and defined on, a computing device, comprising: a text entry area that permits entry of text; a free floating field residing inline with the text, the free floating field presenting content derived from source data or referencing source data such that upon modification of the source data, the free floating field automatically re-derives the content and presents the re-derived content, wherein the re-derived content is integrated into the text, and wherein selecting and applying formatting to the text applies the formatting to the re-derived content in the free floating field; and a second free floating field residing inline within the text, the second free floating field created in response to a selection of at least a portion of the text, and the a second free floating field configured to contain the selected portion of text. | 6. A user interface, produced by, and defined on, a computing device, comprising: a text entry area that permits entry of text; a free floating field residing inline with the text, the free floating field presenting content derived from source data or referencing source data such that upon modification of the source data, the free floating field automatically re-derives the content and presents the re-derived content, wherein the re-derived content is integrated into the text, and wherein selecting and applying formatting to the text applies the formatting to the re-derived content in the free floating field; and a second free floating field residing inline within the text, the second free floating field created in response to a selection of at least a portion of the text, and the a second free floating field configured to contain the selected portion of text. 13. The user interface of claim 6 , wherein the free floating field is a first free floating field and further comprising a second free floating field inline within text, the second free floating field presenting content derived from referencing the first free floating field. | 0.5 |
10. Computer-readable medium as claimed in claim 9 wherein said captured frames are nested from lower to higher order protocols. | 10. Computer-readable medium as claimed in claim 9 wherein said captured frames are nested from lower to higher order protocols. 11. Computer-readable medium as claimed in claim 10 wherein said plurality of protocols have hierarchical order. | 0.945092 |
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