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22. A data processing system for formulating a context representation, the system comprising: a data processor for processing data; a data storage device for storing instructions; and a data transmission path coupled to the data processor and the data storage device, wherein the instructions, when executed by the data processor, controls the data processing system to perform the machine-implemented steps of: selecting at least one keyword from a plurality of text items; determining a task associated with the plurality of text items; selecting at least one query transformation rule from a plurality of different query transformation rules based on the plurality of text items and the task; generating the context representation by applying the at least one query transformation rule to the at least one keyword, the query transformation rule causing the at least one keyword to be replaced by another keyword; generating a search query based on the context representation; and storing search results associated with the search query in a memory. | 22. A data processing system for formulating a context representation, the system comprising: a data processor for processing data; a data storage device for storing instructions; and a data transmission path coupled to the data processor and the data storage device, wherein the instructions, when executed by the data processor, controls the data processing system to perform the machine-implemented steps of: selecting at least one keyword from a plurality of text items; determining a task associated with the plurality of text items; selecting at least one query transformation rule from a plurality of different query transformation rules based on the plurality of text items and the task; generating the context representation by applying the at least one query transformation rule to the at least one keyword, the query transformation rule causing the at least one keyword to be replaced by another keyword; generating a search query based on the context representation; and storing search results associated with the search query in a memory. 36. The system of claim 22 , wherein the instructions, when executed by the data processor, controls the data processing system to transform the context representation based on a user input related to a trait of search. | 0.523529 |
6. The method of claim 1 , further comprising: retrieving, from a first database, at least a subset of contents of a first document in the plurality of documents, the first document corresponding to a document identifier in a first scheduler record, the first scheduler record including a reuse flag for the first document set to a first state; and retrieving, from a second database, at least a subset of contents of a second document in the plurality of documents, the second document corresponding to a document identifier in a second scheduler record, the second scheduler record including a reuse flag for the second document set to a second state; wherein the first and second databases are not the same and wherein the second database stores content from previously crawled documents, including the second document. | 6. The method of claim 1 , further comprising: retrieving, from a first database, at least a subset of contents of a first document in the plurality of documents, the first document corresponding to a document identifier in a first scheduler record, the first scheduler record including a reuse flag for the first document set to a first state; and retrieving, from a second database, at least a subset of contents of a second document in the plurality of documents, the second document corresponding to a document identifier in a second scheduler record, the second scheduler record including a reuse flag for the second document set to a second state; wherein the first and second databases are not the same and wherein the second database stores content from previously crawled documents, including the second document. 10. The method of claim 6 , further comprising adding the at least a subset of the contents of the first document to the second database. | 0.800354 |
30. The system of claim 29 , wherein the controller is further configured to store a first portion of the valid characters aligned in the storage registers when a total of the valid characters aligned combined with the characters in the storage register is less than or equal to the width of the output port. | 30. The system of claim 29 , wherein the controller is further configured to store a first portion of the valid characters aligned in the storage registers when a total of the valid characters aligned combined with the characters in the storage register is less than or equal to the width of the output port. 32. The system of claim 30 , wherein the controller is operable to output the characters stored in the storage registers responsive to the logic determining that a decoder of the decoders has identified the EOF character. | 0.870204 |
11. A system comprising: a processor; and a computer-readable storage medium having instruction stored which, when executed by the processor, result in the processor performing operations comprising: identifying, based on speech from a user, a speech pattern of the user; identifying, based on the speech pattern of the user, a plurality of speech recognition models, each speech recognition model of the plurality of speech recognition models being from a respective speech recognition domain; combining the plurality of speech recognition models, to yield a multi-domain combined speech recognition model; when sample data associated with a specific speech recognition domain is more than a threshold, generating a new domain-specific speech recognition model for the specific speech recognition domain; and when the sample data is less than the threshold, modifying the multi-domain combined speech recognition model by weighting components of the multi-domain combined speech recognition model associated with the specific speech recognition domain to recognize the speech or additional speech from the user. | 11. A system comprising: a processor; and a computer-readable storage medium having instruction stored which, when executed by the processor, result in the processor performing operations comprising: identifying, based on speech from a user, a speech pattern of the user; identifying, based on the speech pattern of the user, a plurality of speech recognition models, each speech recognition model of the plurality of speech recognition models being from a respective speech recognition domain; combining the plurality of speech recognition models, to yield a multi-domain combined speech recognition model; when sample data associated with a specific speech recognition domain is more than a threshold, generating a new domain-specific speech recognition model for the specific speech recognition domain; and when the sample data is less than the threshold, modifying the multi-domain combined speech recognition model by weighting components of the multi-domain combined speech recognition model associated with the specific speech recognition domain to recognize the speech or additional speech from the user. 13. The system of claim 11 , wherein each speech recognition model in the plurality of speech recognition models performs automatic speech recognition using a list of words specific to a respective speech recognition domain of the each speech recognition model. | 0.61326 |
1. An input device operated by a single hand and used to transmit information between the operator of said device and an electronic apparatus in communication with said device, comprising: a housing; a first key array having a plurality of input means mounted to said housing and operable by the thumb of the hand; a second key array having a plurality of input means mounted to said housing, said second array disposed on an array axis which is aligned along a longitudinal axis of and operable by the index finger of the hand when the thumb of the hand is operably positioned proximal to said first array; a third key array having a plurality of input means mounted to said housing, said third array disposed on an array axis which is aligned along a longitudinal axis of and operable by the middle finger of the hand when the thumb and the first finger of the hand are operably positioned proximal to said first and second arrays, respectively; a fourth key array having a plurality of input means mounted to said housing, said fourth array disposed on an array axis which is aligned along a longitudinal axis of and operable by the fourth finger of the hand when the thumb and the first finger are operably positioned proximal to said first and second arrays, respectively; a fifth key array having a plurality of input means mounted to said housing, said fifth array disposed on an array axis which is aligned along a longitudinal axis of and operable by the fifth finger of the hand when the thumb and the first finger are operably positioned proximal to said first and second arrays; and label means disposed in close association with a corresponding key, laterally offset from said corresponding key and outwardly disposed from said key array axis, said label means being viewable while the fingers are in contact with said corresponding key, wherein said first, second, third, fourth and fifth key arrays are disposed to conform to the positions, motion and range of the respective fingers of the hand allowing activation of the keys without movement of the hand relative to the housing and without movement of said fingers to other of said key arrays, and each said key array includes an axis being non-parallel to the axis of other key arrays. | 1. An input device operated by a single hand and used to transmit information between the operator of said device and an electronic apparatus in communication with said device, comprising: a housing; a first key array having a plurality of input means mounted to said housing and operable by the thumb of the hand; a second key array having a plurality of input means mounted to said housing, said second array disposed on an array axis which is aligned along a longitudinal axis of and operable by the index finger of the hand when the thumb of the hand is operably positioned proximal to said first array; a third key array having a plurality of input means mounted to said housing, said third array disposed on an array axis which is aligned along a longitudinal axis of and operable by the middle finger of the hand when the thumb and the first finger of the hand are operably positioned proximal to said first and second arrays, respectively; a fourth key array having a plurality of input means mounted to said housing, said fourth array disposed on an array axis which is aligned along a longitudinal axis of and operable by the fourth finger of the hand when the thumb and the first finger are operably positioned proximal to said first and second arrays, respectively; a fifth key array having a plurality of input means mounted to said housing, said fifth array disposed on an array axis which is aligned along a longitudinal axis of and operable by the fifth finger of the hand when the thumb and the first finger are operably positioned proximal to said first and second arrays; and label means disposed in close association with a corresponding key, laterally offset from said corresponding key and outwardly disposed from said key array axis, said label means being viewable while the fingers are in contact with said corresponding key, wherein said first, second, third, fourth and fifth key arrays are disposed to conform to the positions, motion and range of the respective fingers of the hand allowing activation of the keys without movement of the hand relative to the housing and without movement of said fingers to other of said key arrays, and each said key array includes an axis being non-parallel to the axis of other key arrays. 15. The input device according to claim 1, further including at least one input means mounted to said housing and operative for actuation by the palm of said hand while any two fingers of said hand are in physical contact with their respective key arrays. | 0.545195 |
1. A method, comprising: accessing a message, by a computer, of a contact center from a sender; formulating, by the computer, a portion of a response to the message; storing, by the computer, the portion of the response in a memory; accessing, by the computer, a user context of the sender; selecting, by the computer, an embellishment in accord with the user context; retrieving, by the computer, the stored portion of the response from the memory; updating, by the computer, the retrieved portion of the response to include banter associated with the embellishment thereby creating an updated response; and sending, via a communications network, the updated response to the sender. | 1. A method, comprising: accessing a message, by a computer, of a contact center from a sender; formulating, by the computer, a portion of a response to the message; storing, by the computer, the portion of the response in a memory; accessing, by the computer, a user context of the sender; selecting, by the computer, an embellishment in accord with the user context; retrieving, by the computer, the stored portion of the response from the memory; updating, by the computer, the retrieved portion of the response to include banter associated with the embellishment thereby creating an updated response; and sending, via a communications network, the updated response to the sender. 3. The method of claim 1 , wherein the user context comprises a punctuation usage style associated at least one social media post of the sender. | 0.603982 |
1. A method for providing access to a database using a custom interface, the method comprising: providing a first interface to a remote first supplier over a network, the first interface allowing the first supplier to define a customized second interface based on a particular set of products or services offered by the first supplier, the first interface associated with a first data record format, the customized second interface associated with a second data record format, the first data record format comprising a subset of the second data record format; receiving from the first supplier (a) a product or service category and (b) a set of parameter definitions comprising parameter names and parameter data types, wherein the product or service category and the parameter definitions describe the particular set of products or services offered by the first supplier; creating a new request type in a database based on the product or service category, and associating the set of parameter names and parameter data types with the new request type, wherein the customized second interface is defined by the first supplier and based on the new request type; receiving from the first supplier a first supplier link for sending product or service requests to the first supplier; associating the first supplier link with the newly created request type; and presenting the customized second interface defined by the first supplier to one or more other remote suppliers to allow the one or more remote suppliers to extend the customized second interface by (c) adding further parameter definitions to further describe one or more other products or services offered by the one or more other suppliers, the products and services offered by the first supplier in about the same product or service category as the products or services offered by the second supplier, and (d) adding one or more supplier links of the one or more other suppliers; receiving a from a user, the request associated with items of interest among the products or services offered by the suppliers using the extended customized second interface, and allowing user requests for items of interest to be sent to the suppliers via the supplier links; displaying the extended customized second interface to the user; sending the user request to at least one of the other suppliers; receiving a response from the other suppliers, the response including data in the form of the customized second interface. | 1. A method for providing access to a database using a custom interface, the method comprising: providing a first interface to a remote first supplier over a network, the first interface allowing the first supplier to define a customized second interface based on a particular set of products or services offered by the first supplier, the first interface associated with a first data record format, the customized second interface associated with a second data record format, the first data record format comprising a subset of the second data record format; receiving from the first supplier (a) a product or service category and (b) a set of parameter definitions comprising parameter names and parameter data types, wherein the product or service category and the parameter definitions describe the particular set of products or services offered by the first supplier; creating a new request type in a database based on the product or service category, and associating the set of parameter names and parameter data types with the new request type, wherein the customized second interface is defined by the first supplier and based on the new request type; receiving from the first supplier a first supplier link for sending product or service requests to the first supplier; associating the first supplier link with the newly created request type; and presenting the customized second interface defined by the first supplier to one or more other remote suppliers to allow the one or more remote suppliers to extend the customized second interface by (c) adding further parameter definitions to further describe one or more other products or services offered by the one or more other suppliers, the products and services offered by the first supplier in about the same product or service category as the products or services offered by the second supplier, and (d) adding one or more supplier links of the one or more other suppliers; receiving a from a user, the request associated with items of interest among the products or services offered by the suppliers using the extended customized second interface, and allowing user requests for items of interest to be sent to the suppliers via the supplier links; displaying the extended customized second interface to the user; sending the user request to at least one of the other suppliers; receiving a response from the other suppliers, the response including data in the form of the customized second interface. 3. The method of claim 1 , further comprising combining the supplier links and the parameter names in order to obtain universal resource locators for sending the user requests to the suppliers. | 0.5 |
1. A computer implemented method of generating a language section from tabular data in an electronic document, the method comprising: identifying, by a processor, in a first tabular portion of the electronic document, a set of categories used to organize tabular data, wherein the set of categories includes headers, labels, and content cells; determining that the set of categories includes a content cell that contains an image by detecting an image file extension associated with the content cell; identifying, by the processor and using heuristics and machine learning, contextual relationships between the tabular data, wherein the contextual relationships are created by the set of categories and the identifying is based in part on the position of each category in the set of categories in the first tabular portion and based on the tabular data that each category modifies; identifying, by the processor, a content characteristic for each of the set of categories in the first tabular portion, wherein identifying a content characteristic for the content cell that contains an image comprises utilizing optical character recognition techniques; and generating, by the processor, a first language section from at least two distinct categories of the set of categories, wherein a format of the first language section is based on the content characteristic and contextual relationships for each of the at least two distinct categories of the set of categories and is governed by a formatting table, wherein the formatting table comprises example combinations of content characteristics for example categories of an example tabular portion and formatting rules for generating example language sections from those example combinations. | 1. A computer implemented method of generating a language section from tabular data in an electronic document, the method comprising: identifying, by a processor, in a first tabular portion of the electronic document, a set of categories used to organize tabular data, wherein the set of categories includes headers, labels, and content cells; determining that the set of categories includes a content cell that contains an image by detecting an image file extension associated with the content cell; identifying, by the processor and using heuristics and machine learning, contextual relationships between the tabular data, wherein the contextual relationships are created by the set of categories and the identifying is based in part on the position of each category in the set of categories in the first tabular portion and based on the tabular data that each category modifies; identifying, by the processor, a content characteristic for each of the set of categories in the first tabular portion, wherein identifying a content characteristic for the content cell that contains an image comprises utilizing optical character recognition techniques; and generating, by the processor, a first language section from at least two distinct categories of the set of categories, wherein a format of the first language section is based on the content characteristic and contextual relationships for each of the at least two distinct categories of the set of categories and is governed by a formatting table, wherein the formatting table comprises example combinations of content characteristics for example categories of an example tabular portion and formatting rules for generating example language sections from those example combinations. 3. The method of claim 1 , wherein the first language section includes a first section title and wherein the method further comprises generating the first section title from the at least two distinct categories of the set of categories, the format of the first section title based on the content characteristic and contextual relationships for each of the at least two distinct categories of the set of categories. | 0.627304 |
1. A method for extraction and enrichment of a procedure from an unstructured text document, comprising: identifying a potential location of a procedure in the unstructured text document; detecting a beginning boundary and an end boundary associated with the identified potential location of the procedure; validating a text associated with the identified potential location of the procedure in the unstructured text document; determining an intent from the identified potential location of the procedure based on at least one of the beginning boundary, the end boundary, a surrounding text associated with the identified potential location of the procedure, a context associated with the unstructured text document, and a title of the unstructured text document; and enriching the procedure based on the determined intent; identifying a plurality of paths in the unstructured text document that lead to a same step in the procedure, wherein the identified plurality of paths are located outside the identified beginning boundary and the identified end boundary; and annotating the identified plurality of paths, wherein annotating the identified plurality of paths comprises determining an input/output relation of the identified plurality of paths and storing the determined input/output relation inside the unstructured text document and in a database. | 1. A method for extraction and enrichment of a procedure from an unstructured text document, comprising: identifying a potential location of a procedure in the unstructured text document; detecting a beginning boundary and an end boundary associated with the identified potential location of the procedure; validating a text associated with the identified potential location of the procedure in the unstructured text document; determining an intent from the identified potential location of the procedure based on at least one of the beginning boundary, the end boundary, a surrounding text associated with the identified potential location of the procedure, a context associated with the unstructured text document, and a title of the unstructured text document; and enriching the procedure based on the determined intent; identifying a plurality of paths in the unstructured text document that lead to a same step in the procedure, wherein the identified plurality of paths are located outside the identified beginning boundary and the identified end boundary; and annotating the identified plurality of paths, wherein annotating the identified plurality of paths comprises determining an input/output relation of the identified plurality of paths and storing the determined input/output relation inside the unstructured text document and in a database. 5. The method of claim 1 , wherein the determining the intent from the identified potential location of the procedure comprises analyzing at least one sentence preceding the detected beginning boundary and analyzing at least one sentence following the detected end boundary of the identified potential location of the procedure. | 0.610026 |
7. The computer-implemented method of claim 1 , wherein the business vocabulary context is a name of a category that is passed to a rule creation engine by a rule picker in an Integrated Development Environment (IDE). | 7. The computer-implemented method of claim 1 , wherein the business vocabulary context is a name of a category that is passed to a rule creation engine by a rule picker in an Integrated Development Environment (IDE). 8. The computer-implemented method of claim 7 , further comprising: rendering a rule picker tag in the IDE, wherein the rule picker tag presents an option to create a new rule, and wherein the rule picker tag is a Java Server Page (JSP) tag found in a JSP file that rendered the existing software application in the IDE; and the processor executing the JSP tag to render a link to a page that contains the user-selected rule. | 0.779925 |
1. A system, comprising a computer, the computer comprising a processor and a memory, wherein the computer is configured to: register each of a plurality of application grammars, and further wherein registering an application grammar includes determining whether a command in the application grammar conflicts with a command in another grammar registered in the computer; receive input including at least one word; determine that the input is specified as a command in a plurality of the grammars, each of the grammars being associated with a respective instance of one application in a plurality of instances of the application each currently running on one of a plurality of devices; select one of the currently-running instances of the application to which to apply the command according a specified status of the selected instance of the application; and provide the command to the selected one of the applications. | 1. A system, comprising a computer, the computer comprising a processor and a memory, wherein the computer is configured to: register each of a plurality of application grammars, and further wherein registering an application grammar includes determining whether a command in the application grammar conflicts with a command in another grammar registered in the computer; receive input including at least one word; determine that the input is specified as a command in a plurality of the grammars, each of the grammars being associated with a respective instance of one application in a plurality of instances of the application each currently running on one of a plurality of devices; select one of the currently-running instances of the application to which to apply the command according a specified status of the selected instance of the application; and provide the command to the selected one of the applications. 7. The system of claim 1 , wherein the computer is further configured to specify the status based on a device associated with the currently-running instance. | 0.522088 |
30. In an automatic speech processing system, a method for grading the pronunciation of a student speech sample, the method comprising: accepting said student speech sample which comprises a sequence of words spoken by a student speaker; operating a set of trained speech models to compute at least one posterior probability from said speech sample, each of said posterior probabilities being a probability that a particular portion of said student speech sample corresponds to a particular known model given said particular portion of said speech sample; and computing an evaluation score, herein referred to as the posterior-based evaluation score, of pronunciation quality for said student speech sample from said posterior probabilities wherein: said trained speech models comprise a set of phone models; said student speech sample comprises phones; and the step of operating said speech models comprises computing a frame-based posterior probability for each frame yt within a phone i of a phone type qi: ##EQU14## wherein: p(yt.vertline.qi, . . . ) is the probability of the frame yt according to a model corresponding to phone type qi; the sum over q runs over all phone types; and P(qi) represents the prior probability of the phone type qi. | 30. In an automatic speech processing system, a method for grading the pronunciation of a student speech sample, the method comprising: accepting said student speech sample which comprises a sequence of words spoken by a student speaker; operating a set of trained speech models to compute at least one posterior probability from said speech sample, each of said posterior probabilities being a probability that a particular portion of said student speech sample corresponds to a particular known model given said particular portion of said speech sample; and computing an evaluation score, herein referred to as the posterior-based evaluation score, of pronunciation quality for said student speech sample from said posterior probabilities wherein: said trained speech models comprise a set of phone models; said student speech sample comprises phones; and the step of operating said speech models comprises computing a frame-based posterior probability for each frame yt within a phone i of a phone type qi: ##EQU14## wherein: p(yt.vertline.qi, . . . ) is the probability of the frame yt according to a model corresponding to phone type qi; the sum over q runs over all phone types; and P(qi) represents the prior probability of the phone type qi. 34. The method according to claim 30 wherein the model corresponding to each phone type is a Gaussian mixture phone model. | 0.600645 |
15. A method comprising: presenting a plurality of prompts requesting information items associated with data describing characteristics of a user of a social networking system including a processor; logging, in a database maintained by the social networking system, a plurality of responses from the user to the plurality of prompts; maintaining a profile for the user in a user profile database maintained by the social networking system, the profile including one or more information items associated with data describing characteristics of the user and a set of unknown information items not associated with data; obtaining a plurality of prompts associated with one or more information items from the set of unknown information items; determining, for each of the plurality of prompts associated with the one or more information items from the set of unknown information items, a response probability based at least in part on one or a combination of a format and content of the prompt, the response probability indicating a likelihood of the social networking system receiving a response to a prompt when presented; determining a data acquisition value for each of a plurality of the unknown information items in the set of unknown information items, the data acquisition value of an unknown information item based at least in part on a value to the social networking system of associating data with the unknown information item and the determined response probability; selecting an unknown information item from the set of unknown information items by the social networking system based at least in part on the data acquisition values; and selecting, by the social networking system, a prompt associated with the selected unknown information item for presentation to the user based at least in part on the response probabilities of one or more prompts associated with the selected unknown information item. | 15. A method comprising: presenting a plurality of prompts requesting information items associated with data describing characteristics of a user of a social networking system including a processor; logging, in a database maintained by the social networking system, a plurality of responses from the user to the plurality of prompts; maintaining a profile for the user in a user profile database maintained by the social networking system, the profile including one or more information items associated with data describing characteristics of the user and a set of unknown information items not associated with data; obtaining a plurality of prompts associated with one or more information items from the set of unknown information items; determining, for each of the plurality of prompts associated with the one or more information items from the set of unknown information items, a response probability based at least in part on one or a combination of a format and content of the prompt, the response probability indicating a likelihood of the social networking system receiving a response to a prompt when presented; determining a data acquisition value for each of a plurality of the unknown information items in the set of unknown information items, the data acquisition value of an unknown information item based at least in part on a value to the social networking system of associating data with the unknown information item and the determined response probability; selecting an unknown information item from the set of unknown information items by the social networking system based at least in part on the data acquisition values; and selecting, by the social networking system, a prompt associated with the selected unknown information item for presentation to the user based at least in part on the response probabilities of one or more prompts associated with the selected unknown information item. 20. The method of claim 15 , wherein selecting the unknown information item from the set of unknown information items based at least in part on the data acquisition values comprises: selecting an unknown information having a highest data acquisition value. | 0.694354 |
2. The method of claim 1 , further comprising: detecting an occurrence of a pre-defined event; and requesting the second search results in response to the detection of the pre-defined event. | 2. The method of claim 1 , further comprising: detecting an occurrence of a pre-defined event; and requesting the second search results in response to the detection of the pre-defined event. 4. The method of claim 2 , wherein the pre-defined event comprises a mouse-over a portion of the provided first search results page. | 0.959451 |
1. A method performed by one or more server devices, the method comprising: receiving, using one or more processors associated with the one or more server devices, a document; selecting, using one or more processors associated with the one or more server devices, terms from the document to form a plurality of term pairs, where the selection is biased such that terms that appear closer to each other in the document have a greater probability of being included in the plurality of term pairs than terms that appear further from each other in the document; creating, using one or more processors associated with the one or more server devices, a cluster that includes the plurality of term pairs, where creating the cluster includes: sampling a quantity of the plurality of term pairs, where the quantity is determined based on a length of the document; and determining, using one or more processors associated with the one or more server devices, whether another document is similar to the document by comparing pairs of terms from the other document with the plurality of term pairs of the cluster. | 1. A method performed by one or more server devices, the method comprising: receiving, using one or more processors associated with the one or more server devices, a document; selecting, using one or more processors associated with the one or more server devices, terms from the document to form a plurality of term pairs, where the selection is biased such that terms that appear closer to each other in the document have a greater probability of being included in the plurality of term pairs than terms that appear further from each other in the document; creating, using one or more processors associated with the one or more server devices, a cluster that includes the plurality of term pairs, where creating the cluster includes: sampling a quantity of the plurality of term pairs, where the quantity is determined based on a length of the document; and determining, using one or more processors associated with the one or more server devices, whether another document is similar to the document by comparing pairs of terms from the other document with the plurality of term pairs of the cluster. 2. The method of claim 1 , where the terms in each of the plurality of term pairs are ordered such that a first term, of each of the plurality of term pairs, comes before a second term, of each of the plurality of term pairs, in the document. | 0.539911 |
3. The method of claim 1 , wherein obtaining one or more query patterns comprises: receiving queries relating to the statement; and normalizing the received queries. | 3. The method of claim 1 , wherein obtaining one or more query patterns comprises: receiving queries relating to the statement; and normalizing the received queries. 4. The method of claim 3 , further comprising: filtering the received queries to remove queries that occur with a frequency that does not satisfy a predetermined threshold. | 0.943501 |
1. A method, performed by an ingestion system including one or more servers for enrollment and web crawling, for creating a searchable database of feature vectors representing images of a faces, the method comprising: receiving an image of a face; detecting landmarks on the image of the face and associating the detected landmarks with points; subjecting the points to a transformation; aligning a portion of the image of the face in accordance with the transformation; performing texture mapping on the portion of the image of the face; computing a first vector based on the portion of the image of the face; creating a second vector based on a similarity of the first vector to each of a predetermined number of a first plurality of vectors; generating a feature vector by concatenating the second vector with a second plurality of vectors, wherein the second vector and each of the second plurality of vectors each correspond to a respective portion of the image of the face; and storing the feature vector, along with associated metadata as part of a gallery file, in a database. | 1. A method, performed by an ingestion system including one or more servers for enrollment and web crawling, for creating a searchable database of feature vectors representing images of a faces, the method comprising: receiving an image of a face; detecting landmarks on the image of the face and associating the detected landmarks with points; subjecting the points to a transformation; aligning a portion of the image of the face in accordance with the transformation; performing texture mapping on the portion of the image of the face; computing a first vector based on the portion of the image of the face; creating a second vector based on a similarity of the first vector to each of a predetermined number of a first plurality of vectors; generating a feature vector by concatenating the second vector with a second plurality of vectors, wherein the second vector and each of the second plurality of vectors each correspond to a respective portion of the image of the face; and storing the feature vector, along with associated metadata as part of a gallery file, in a database. 8. The method of claim 1 , comprising: subjecting the feature vector to principal component analysis. | 0.711435 |
2. The computer system according to claim 1 , wherein encoding document data comprised in the XML code into a binary data structure comprises streaming through said XML code and breaking data into pieces corresponding to XML syntax. | 2. The computer system according to claim 1 , wherein encoding document data comprised in the XML code into a binary data structure comprises streaming through said XML code and breaking data into pieces corresponding to XML syntax. 3. The computer system according to claim 2 , wherein said at least one token type comprises at least one member selected from the group consisting of element, end tag, attribute name, attribute value, CDATA section start, CDATA section end, CDATA token, CDATA whitespace, comment, and XML declaration. | 0.937044 |
1. A computer-implemented method for generating vocabulary questions, the method comprising: obtaining, by a computer processor, a sentence from a database; determining, by the computer processor, whether a word of the obtained sentence, the word having multiple definitions, is used in the sentence consistently with one of the multiple definitions which has been selected as a target definition; responsive to a result of the determining being that the use of the word in the sentence is consistent with the one of the multiple definitions, providing, by the computer processor, the sentence for use to generate a question concerning the word of the sentence; and outputting, by the computer processor, the question. | 1. A computer-implemented method for generating vocabulary questions, the method comprising: obtaining, by a computer processor, a sentence from a database; determining, by the computer processor, whether a word of the obtained sentence, the word having multiple definitions, is used in the sentence consistently with one of the multiple definitions which has been selected as a target definition; responsive to a result of the determining being that the use of the word in the sentence is consistent with the one of the multiple definitions, providing, by the computer processor, the sentence for use to generate a question concerning the word of the sentence; and outputting, by the computer processor, the question. 15. The method of claim 1 , further comprising: automatically recognizing, and removing from a corpus of text that includes the sentence, boilerplate language. | 0.616162 |
1. An electronic device, comprising: a display and a touch-sensitive surface; one or more processors; memory; and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for: concurrently displaying a plurality of snippets of text including a first snippet of text and a second snippet of text, wherein: the first snippet of text includes first displayed snippet text corresponding to a first portion of text from a document associated with the first snippet of text; and the second snippet of text includes second displayed snippet text corresponding to a second portion of text from a document associated with the second snippet of text; detecting a first gesture associated with the first snippet of text, wherein detecting the first gesture includes detecting a first contact and a second contact on the touch-sensitive surface and detecting movement of the first contact relative to the second contact on the touch-sensitive surface; and in response to detecting the movement of the first contact relative to the second contact: modifying the first snippet of text to include an additional portion of text from the document associated with the first snippet of text that was not included in the first displayed snippet text, wherein the additional portion of text from the document associated with the first snippet of text includes: additional text that occurs prior to the first displayed snippet text in the document associated with the first snippet of text; and additional text that occurs after the first displayed snippet text in the document associated with the first snippet of text; and maintaining display of the second snippet of text without adding any additional text from the document associated with the second snippet of text to the second snippet of text. | 1. An electronic device, comprising: a display and a touch-sensitive surface; one or more processors; memory; and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for: concurrently displaying a plurality of snippets of text including a first snippet of text and a second snippet of text, wherein: the first snippet of text includes first displayed snippet text corresponding to a first portion of text from a document associated with the first snippet of text; and the second snippet of text includes second displayed snippet text corresponding to a second portion of text from a document associated with the second snippet of text; detecting a first gesture associated with the first snippet of text, wherein detecting the first gesture includes detecting a first contact and a second contact on the touch-sensitive surface and detecting movement of the first contact relative to the second contact on the touch-sensitive surface; and in response to detecting the movement of the first contact relative to the second contact: modifying the first snippet of text to include an additional portion of text from the document associated with the first snippet of text that was not included in the first displayed snippet text, wherein the additional portion of text from the document associated with the first snippet of text includes: additional text that occurs prior to the first displayed snippet text in the document associated with the first snippet of text; and additional text that occurs after the first displayed snippet text in the document associated with the first snippet of text; and maintaining display of the second snippet of text without adding any additional text from the document associated with the second snippet of text to the second snippet of text. 7. The device of claim 1 , including instructions for, after detecting the movement of the first contact relative to the second contact: detecting an end of the first gesture; and in response to detecting the end of the first gesture: when a gesture metric based on the first gesture is above a predefined threshold, displaying a portion of the document associated with the first snippet of text that includes the first portion of text; and when the gesture metric based on the first gesture is below the predefined threshold, ceasing to display the additional portion of text. | 0.536333 |
5. The method of claim 1 , further comprising joining a table that is a subject of the query with an access control list table, creating an IN node in the abstract syntax tree. | 5. The method of claim 1 , further comprising joining a table that is a subject of the query with an access control list table, creating an IN node in the abstract syntax tree. 6. The method of claim 5 , wherein the joining is performed during the traversing. | 0.966067 |
3. The method of claim 2 , wherein processing the portion of the audio information to obtain the one or more additional keywords forming the expanded portion of the search query is performed at the remote server system; and wherein the method further comprises transmitting the portion of the audio information to the remote server system via the communications network for said processing. | 3. The method of claim 2 , wherein processing the portion of the audio information to obtain the one or more additional keywords forming the expanded portion of the search query is performed at the remote server system; and wherein the method further comprises transmitting the portion of the audio information to the remote server system via the communications network for said processing. 5. The method of claim 3 , wherein the portion of the audio information is transmitted to the remote server system as part of the same message or set of messages that include the user-defined portion of the search query. | 0.935463 |
34. The system of claim 33 , wherein the memory stores one or more programs, comprising instructions, which when executed by the set of one or more processors, cause the system to: obtain the change in the contacts database in response to the change being made; and process, using the set of one or more pronunciation guessers, the change in the contacts database to update the extended phonetic dictionary based on the change in the contacts database. | 34. The system of claim 33 , wherein the memory stores one or more programs, comprising instructions, which when executed by the set of one or more processors, cause the system to: obtain the change in the contacts database in response to the change being made; and process, using the set of one or more pronunciation guessers, the change in the contacts database to update the extended phonetic dictionary based on the change in the contacts database. 35. The system of claim 34 , wherein the set of one or more pronunciation guessers comprise pronunciation guessers for a plurality of locales, each locale having its own pronunciation guesser. | 0.840717 |
1. A computer-implemented method for predicting a fall of a robot having at least two legs, the method comprising: generating a learned representation using a supervised learning algorithm, the learned representation taking as inputs a plurality of features of a robot, the learned representation having as an output a classification comprising an indication of a balanced state or a falling state, wherein generating the learned representation using the supervised learning algorithm comprises steps of: applying a plurality of simulated force impulses to a simulation of the robot, the force impulses varying in magnitude of force and direction of application; recording a plurality of trajectories generated from the motions of the robot after application of the plurality of simulated force impulses, each trajectory comprising a plurality of instances, each instance comprising a plurality of features describing the state of the robot at the particular instance; classifying, by a processing device, each instance as a balanced instance or as a falling instance based on whether the trajectory containing the instance ends in a fallen state; and processing the features and classification of each instance with the supervised learning algorithm to generate the learned representation; determining a plurality of features of a current state of the robot, the determining based at least in part on a current value of a joint angle or joint velocity of the robot; and classifying the current state of the robot as being either balanced or falling, the classifying performed by evaluating the learned representation with the plurality of features of the current state of the robot. | 1. A computer-implemented method for predicting a fall of a robot having at least two legs, the method comprising: generating a learned representation using a supervised learning algorithm, the learned representation taking as inputs a plurality of features of a robot, the learned representation having as an output a classification comprising an indication of a balanced state or a falling state, wherein generating the learned representation using the supervised learning algorithm comprises steps of: applying a plurality of simulated force impulses to a simulation of the robot, the force impulses varying in magnitude of force and direction of application; recording a plurality of trajectories generated from the motions of the robot after application of the plurality of simulated force impulses, each trajectory comprising a plurality of instances, each instance comprising a plurality of features describing the state of the robot at the particular instance; classifying, by a processing device, each instance as a balanced instance or as a falling instance based on whether the trajectory containing the instance ends in a fallen state; and processing the features and classification of each instance with the supervised learning algorithm to generate the learned representation; determining a plurality of features of a current state of the robot, the determining based at least in part on a current value of a joint angle or joint velocity of the robot; and classifying the current state of the robot as being either balanced or falling, the classifying performed by evaluating the learned representation with the plurality of features of the current state of the robot. 6. The method of claim 1 , wherein one of the plurality of features comprises a height of the center of mass of the robot. | 0.602486 |
21. A vehicle detection system associated with a vehicle parking region, the vehicle detection system comprising: a parking occupancy video camera directed towards the vehicle parking region; and a controller operatively associated with the parking occupancy video camera, the controller configured to execute computer instructions to perform a process of detecting a vehicle in a video frame including: a) capturing a video frame from the fixed parking occupancy video, the video frame including a ROI (Region of Interest) oriented by an orientation angle relative to an orientation of an image plane associated with the captured video frame, the ROI including one or more parking spaces of the vehicle parking region; b) performing a sliding window-based search for one or more vehicles within the ROI, the sliding window-based search extracting one or more features associated with each of a plurality of candidate search windows representing a set of windows from which object bounding boxes are selected, wherein each selected object bounding box is associated with a vehicle, and wherein the vehicle is not associated with any of the other object bounding boxes; c1) accessing a classifier to score each candidate search window with a classification score calculated by the classifier indicating a probability of candidate search window includes a vehicle relative to a plurality of training images used to train the classifier; c2) degrading the classification score of one or more classified overlapping search windows including a common vehicle, the classification score degraded by an amount that is a function of an overlap area of the overlapping search windows and a relative size of each of the overlapping windows; and d) performing a NMS (Non-Maximal Suppression) process to suppress any overlapping classified candidate search window with a classification score below a predetermined threshold, wherein classified candidate search windows which are not suppressed are considered to be object bounding boxes representative of the one or more vehicles detected in the video frame. | 21. A vehicle detection system associated with a vehicle parking region, the vehicle detection system comprising: a parking occupancy video camera directed towards the vehicle parking region; and a controller operatively associated with the parking occupancy video camera, the controller configured to execute computer instructions to perform a process of detecting a vehicle in a video frame including: a) capturing a video frame from the fixed parking occupancy video, the video frame including a ROI (Region of Interest) oriented by an orientation angle relative to an orientation of an image plane associated with the captured video frame, the ROI including one or more parking spaces of the vehicle parking region; b) performing a sliding window-based search for one or more vehicles within the ROI, the sliding window-based search extracting one or more features associated with each of a plurality of candidate search windows representing a set of windows from which object bounding boxes are selected, wherein each selected object bounding box is associated with a vehicle, and wherein the vehicle is not associated with any of the other object bounding boxes; c1) accessing a classifier to score each candidate search window with a classification score calculated by the classifier indicating a probability of candidate search window includes a vehicle relative to a plurality of training images used to train the classifier; c2) degrading the classification score of one or more classified overlapping search windows including a common vehicle, the classification score degraded by an amount that is a function of an overlap area of the overlapping search windows and a relative size of each of the overlapping windows; and d) performing a NMS (Non-Maximal Suppression) process to suppress any overlapping classified candidate search window with a classification score below a predetermined threshold, wherein classified candidate search windows which are not suppressed are considered to be object bounding boxes representative of the one or more vehicles detected in the video frame. 22. The vehicle detection system according to claim 21 , wherein step c2) degrades the classification score of one or more classified overlapping search windows to significantly decrease the scores of a classified overlapping search window with significant reciprocal overlap with a respective maximal score classified search window, and step c2) does not significantly degrade the scores of a classified overlapping search window with a minimal reciprocal overlap with a respective maximal score classified search window. | 0.514916 |
10. A method for computer aided detection of anatomical abnormalities in medical images comprising the steps of: providing a plurality of abnormality candidates and internal features of said abnormality candidates; and classifying said abnormality candidates as true positives or false positives using a plurality of linear programs arranged in a hierarchical cascade, said programs constructing classifiers of the form sign(w T x+b), wherein x is a feature vector, w is a weighting vector and b is a model parameter, wherein each stage of said cascade solves a linear program formulated using a training error rate equivalent to max {0,1−y(w T x+b)} and an l 1 -norm equivalent to w 1 = ∑ w i summed over all features, wherein each said linear classifier is constructed using a boosting algorithm comprising the steps of: partitioning said weights w i into a working set W for constructing said classifier and a remaining set N of weights eliminated from said classifier; initializing a first column vector of a feature matrix X ij to a vector of ones; solving said linear program using said first column; finding a next column vector that maximizes a quantity τ defined as τ = max j ∈ N ∑ i ′ β i ^ y i X ij , wherein y is a label indicating whether or not a candidate associated with a feature vector is a true positive, and β is derived from a Lagrangian dual to said linear program; and reinitializing said first column vector by including said next column vector, wherein if τ is less than a predetermined value, the boosting algorithm terminates. | 10. A method for computer aided detection of anatomical abnormalities in medical images comprising the steps of: providing a plurality of abnormality candidates and internal features of said abnormality candidates; and classifying said abnormality candidates as true positives or false positives using a plurality of linear programs arranged in a hierarchical cascade, said programs constructing classifiers of the form sign(w T x+b), wherein x is a feature vector, w is a weighting vector and b is a model parameter, wherein each stage of said cascade solves a linear program formulated using a training error rate equivalent to max {0,1−y(w T x+b)} and an l 1 -norm equivalent to w 1 = ∑ w i summed over all features, wherein each said linear classifier is constructed using a boosting algorithm comprising the steps of: partitioning said weights w i into a working set W for constructing said classifier and a remaining set N of weights eliminated from said classifier; initializing a first column vector of a feature matrix X ij to a vector of ones; solving said linear program using said first column; finding a next column vector that maximizes a quantity τ defined as τ = max j ∈ N ∑ i ′ β i ^ y i X ij , wherein y is a label indicating whether or not a candidate associated with a feature vector is a true positive, and β is derived from a Lagrangian dual to said linear program; and reinitializing said first column vector by including said next column vector, wherein if τ is less than a predetermined value, the boosting algorithm terminates. 11. The method of claim 10 , wherein different weights are used to penalize false negatives and false positives, and wherein a first classifier uses said internal features and each successive classifier of said cascade uses more computationally complex features to eliminate false positives from said abnormality candidates. | 0.837174 |
16. The method according to claim 10 , wherein the annotated behavior is carried out on the display device and/or the electronic device. | 16. The method according to claim 10 , wherein the annotated behavior is carried out on the display device and/or the electronic device. 18. The method according to claim 16 , wherein the annotated behavior is carried out on the electronic device and is to input sliding path information and/or pressing information on a touch screen of the electronic device and/or to receive audio information by an audio receiver of the electronic device; and the index tag further includes behavior information corresponding to the sliding path information, the pressing information and/or the audio information. | 0.852923 |
1. A computer implemented method comprising: identifying one or more secondary sources of content based at least in part on an overlap of one or more links associated with the secondary sources of content, and links associated with a set of one or more primary sources of content, wherein the overlap indicates an extent to which the secondary sources of content comprise links that are comprised in the set of one or more primary sources of content, the links associated with the set of one or more primary sources of content are comprised in a topic linkset, and generating the topic linkset comprises detecting that a first set of the one or more of the links associated with the set of one or more primary sources of content is not relevant to a topic associated with the topic linkset, and excluding the first set of the one or more links from the topic linkset; assigning primary source scores to primary sources of content in the topic; assigning secondary source scores to secondary sources of content, wherein said assigning said secondary source scores is based on an amount of overlap of a linkset of the secondary source and the topic linkset; assigning URL scores to the links associated with the primary and secondary sources of content, wherein the assigning the URL scores comprises adding scores of each of primary and secondary sources that links to at least one of the links associated with the primary and secondary sources of content; and generating, based at least in part on the URL scores, a source of content comprising one or more recommended links selected from the links associated with the primary and secondary sources of content. | 1. A computer implemented method comprising: identifying one or more secondary sources of content based at least in part on an overlap of one or more links associated with the secondary sources of content, and links associated with a set of one or more primary sources of content, wherein the overlap indicates an extent to which the secondary sources of content comprise links that are comprised in the set of one or more primary sources of content, the links associated with the set of one or more primary sources of content are comprised in a topic linkset, and generating the topic linkset comprises detecting that a first set of the one or more of the links associated with the set of one or more primary sources of content is not relevant to a topic associated with the topic linkset, and excluding the first set of the one or more links from the topic linkset; assigning primary source scores to primary sources of content in the topic; assigning secondary source scores to secondary sources of content, wherein said assigning said secondary source scores is based on an amount of overlap of a linkset of the secondary source and the topic linkset; assigning URL scores to the links associated with the primary and secondary sources of content, wherein the assigning the URL scores comprises adding scores of each of primary and secondary sources that links to at least one of the links associated with the primary and secondary sources of content; and generating, based at least in part on the URL scores, a source of content comprising one or more recommended links selected from the links associated with the primary and secondary sources of content. 17. The method of claim 1 wherein the source scores assigned to the secondary sources of content are based at least in part on the overlap. | 0.546688 |
11. A computer-readable storage device storing computer-executable instructions that, when executed, cause one or more processors to perform acts comprising: converting a plurality of feature vectors into a plurality of log probability sets using a classifier ensemble that includes a plurality of classifiers, the plurality of feature vectors representing a speech utterance; transforming the plurality of log probability sets into a plurality of output symbol sequences using a decoder ensemble that includes a plurality of decoders; combining the plurality of output symbol sequences into a fusion output symbol sequence using a block fusion algorithm, the block fusion algorithm to use convergent iterative a-priori probability calculations to produce the fusion output sequence; and retrieving one or more stored speech utterances from a speech database based on at least one of the plurality of output symbol sequences or the fusion output symbol sequence. | 11. A computer-readable storage device storing computer-executable instructions that, when executed, cause one or more processors to perform acts comprising: converting a plurality of feature vectors into a plurality of log probability sets using a classifier ensemble that includes a plurality of classifiers, the plurality of feature vectors representing a speech utterance; transforming the plurality of log probability sets into a plurality of output symbol sequences using a decoder ensemble that includes a plurality of decoders; combining the plurality of output symbol sequences into a fusion output symbol sequence using a block fusion algorithm, the block fusion algorithm to use convergent iterative a-priori probability calculations to produce the fusion output sequence; and retrieving one or more stored speech utterances from a speech database based on at least one of the plurality of output symbol sequences or the fusion output symbol sequence. 17. The computer-readable storage device of claim 11 , wherein the acts further comprise: separating an input audio signal into voiced portions and unvoiced portions based at least on a smooth log power, a spectrum entropy, and a maximum amplitude in each of a plurality of frames included in the input audio signal; and converting the voiced portions of the input audio signal into the plurality of feature vectors. | 0.722807 |
9. An article of manufacture comprising at least one data storage device having one or more computer programs stored thereon and operable on one or more computing systems to: normalize a plurality of keywords received from a source, the source being from the group: a search query and a product listing; filter the normalized plurality of keywords against one or more keyword filtration lists; produce site-specific variants of the filtered plurality of keywords; associate a plurality of levels of dimension data with each of the plurality of keywords, the plurality of levels of dimension data including information indicative of a probability that a keyword of the plurality of keywords belongs to a particular product category in a product category hierarchy, the plurality of levels of dimension data including keyword clustering dimension data, the keyword clustering dimension data including information indicative of a probability that a keyword of the plurality of keywords belongs to a particular keyword cluster of a plurality of pre-defined keyword clusters, the plurality of levels of dimension data including keyword traffic dimension data, the keyword traffic dimension data including information indicative of a probability that a keyword of the plurality of keywords was trafficked by a particular search engine, wherein the probability that a keyword of the plurality of keywords was trafficked by a particular search engine is maintained for each of a plurality of search engines, the keyword traffic dimension data including information indicative of a probability that a keyword of the plurality of keywords will achieve a predicted revenue per click level, the keyword traffic dimension data including information indicative of a value related to confirmed registered users, the keyword traffic dimension data including information indicative of a landing page related to a particular cluster of keywords; define a time period of measurement for a metric corresponding to the plurality of levels of dimension data; and store the processed plurality of keywords and dimension data in a keyword database and select at least one keyword from the stored processed plurality of keywords according to the dimension data in the keyword database. | 9. An article of manufacture comprising at least one data storage device having one or more computer programs stored thereon and operable on one or more computing systems to: normalize a plurality of keywords received from a source, the source being from the group: a search query and a product listing; filter the normalized plurality of keywords against one or more keyword filtration lists; produce site-specific variants of the filtered plurality of keywords; associate a plurality of levels of dimension data with each of the plurality of keywords, the plurality of levels of dimension data including information indicative of a probability that a keyword of the plurality of keywords belongs to a particular product category in a product category hierarchy, the plurality of levels of dimension data including keyword clustering dimension data, the keyword clustering dimension data including information indicative of a probability that a keyword of the plurality of keywords belongs to a particular keyword cluster of a plurality of pre-defined keyword clusters, the plurality of levels of dimension data including keyword traffic dimension data, the keyword traffic dimension data including information indicative of a probability that a keyword of the plurality of keywords was trafficked by a particular search engine, wherein the probability that a keyword of the plurality of keywords was trafficked by a particular search engine is maintained for each of a plurality of search engines, the keyword traffic dimension data including information indicative of a probability that a keyword of the plurality of keywords will achieve a predicted revenue per click level, the keyword traffic dimension data including information indicative of a value related to confirmed registered users, the keyword traffic dimension data including information indicative of a landing page related to a particular cluster of keywords; define a time period of measurement for a metric corresponding to the plurality of levels of dimension data; and store the processed plurality of keywords and dimension data in a keyword database and select at least one keyword from the stored processed plurality of keywords according to the dimension data in the keyword database. 14. The article of manufacture as claimed in claim 9 wherein the plurality of levels of dimension data includes keyword source-specific dimension data. | 0.670398 |
13. The system according to claim 9 , wherein the translator feedback includes corrections that are received from the translator relative to a previous translation generated by the machine translation system. | 13. The system according to claim 9 , wherein the translator feedback includes corrections that are received from the translator relative to a previous translation generated by the machine translation system. 14. The system according to claim 13 , wherein the feedback processor further provides the corrections to a human translator and receives verified corrections from the human translator, wherein the verified corrections are incorporated into the translation methodology. | 0.91416 |
1. A method of processing information, comprising: receiving at least one message; processing the at least one message with an artificial neural network based processor, trained to respond to received information and produce at least one set of outputs which represent intelligent discriminations of information in at least one respective stage of cognitive development in a non-arbitrary organization of actions based on an architecture of the artificial neural network based processor and a training of the artificial neural network based processor; representing as a noise vector at least one data pattern in the at least one received message which is incompletely represented as the intelligent discriminations of information in the at least one set of outputs representing the non-arbitrary organization of actions; analyzing at least the noise vector distinctly from the artificial neural network based processor to extract characteristics of the at least one message distinct from the non-arbitrary organization of actions; and generating an output signal at least in dependence on said analyzing. | 1. A method of processing information, comprising: receiving at least one message; processing the at least one message with an artificial neural network based processor, trained to respond to received information and produce at least one set of outputs which represent intelligent discriminations of information in at least one respective stage of cognitive development in a non-arbitrary organization of actions based on an architecture of the artificial neural network based processor and a training of the artificial neural network based processor; representing as a noise vector at least one data pattern in the at least one received message which is incompletely represented as the intelligent discriminations of information in the at least one set of outputs representing the non-arbitrary organization of actions; analyzing at least the noise vector distinctly from the artificial neural network based processor to extract characteristics of the at least one message distinct from the non-arbitrary organization of actions; and generating an output signal at least in dependence on said analyzing. 5. The method according to claim 1 , wherein the intelligent discriminations of information represent a respective order/stage of human cognition. | 0.769447 |
15. A computer readable memory device storing instructions that cause a data processing apparatus to perform operations comprising: receiving, in response to a selection of a search result referencing a first webpage resource, content of the first webpage resource, wherein the first webpage resource is determined to be responsive to a search query included in a search request, the search query being one or more terms that are submitted to a search engine as input to a search operation, and the search result having been provided in response to the search request; receiving a candidate set of search query suggestions for the search query, each search query suggestion in the candidate set being one or more terms that may be submitted to a search engine as input to a search operation, the candidate set of search query suggestions based, in part, on search history data that includes data from and related to previous search requests associated with the search query; for each of the search query suggestions in the candidate set of search query suggestions that meet a relevancy criterion that defines the search query suggestion as being relevant to the content of the first resource, the relevancy criterion being a relevance score that measures a relevance of the search query suggestion to the content of the first webpage resource displayed on a user device, including the search query suggestion in a final set of search query suggestions so that the final set of search query suggestions include only search query suggestions that meet the relevancy criterion; and providing the final set of search query suggestions for display on the user device. | 15. A computer readable memory device storing instructions that cause a data processing apparatus to perform operations comprising: receiving, in response to a selection of a search result referencing a first webpage resource, content of the first webpage resource, wherein the first webpage resource is determined to be responsive to a search query included in a search request, the search query being one or more terms that are submitted to a search engine as input to a search operation, and the search result having been provided in response to the search request; receiving a candidate set of search query suggestions for the search query, each search query suggestion in the candidate set being one or more terms that may be submitted to a search engine as input to a search operation, the candidate set of search query suggestions based, in part, on search history data that includes data from and related to previous search requests associated with the search query; for each of the search query suggestions in the candidate set of search query suggestions that meet a relevancy criterion that defines the search query suggestion as being relevant to the content of the first resource, the relevancy criterion being a relevance score that measures a relevance of the search query suggestion to the content of the first webpage resource displayed on a user device, including the search query suggestion in a final set of search query suggestions so that the final set of search query suggestions include only search query suggestions that meet the relevancy criterion; and providing the final set of search query suggestions for display on the user device. 16. The computer readable memory device of claim 15 , the operations further comprising: receiving search results, each search result referencing a resource and including a snippet of text extracted from the resource; processing the search results to extract data to store in the search history data; and storing the extracted data in the search history data. | 0.626369 |
1. A computer program product for use with a computer, the computer program product comprising a computer usable medium having a computer readable program code embodied therein for automating a process of structuring the tabular data from unstructured documents, the unstructured documents comprising tabular and non-tabular data, the structuring of the tabular data from the unstructured documents being performed by accessing and processing a plurality of rules without programming of the plurality of rules, the rules being modeled as meta-data and stored as the meta-data in a database to provide flexibility of adding and modifying the rules, the computer program product comprising: a. program instruction means for identifying a table of interest from the tabular and non-tabular data in an unstructured document by processing a set of table identification rules without programming the set of table identification rules, the set of table identification rules being based on semantic descriptions, format, structure, grammar and content of the tabular and non-tabular data in the unstructured document; b. program instruction means for confirming the identified table by processing a set of table confirmation rules without programming the set of table confirmation rules, the set of table confirmation rules being used to verify that the identified table is a table of interest; c. program instruction means for tokenizing the content of the identified table into tokens by processing a set of parsing rules without programming the set of parsing rules; d. program instruction means for interpreting the tokenized content of the identified table, the tokenized content being interpreted with reference to a standardized template including a standardized set of data fields, the program instruction means for interpreting the tokenized content comprises program instruction means for: i. arranging the tokenized content of the identified table into one or more sections by processing a set of section identification rules without programming the set of section identification rules; and ii. mapping the tokenized content of each of the one or more sections onto the standardized set of data fields, by processing a set of interpretation rules without programming the set of interpretation rules; e. program instruction means for standardizing the interpreted content of the identified table by processing a set of standardization rules without programming the set of standardization rules, wherein the program instruction means for standardizing of the interpreted content comprises program instruction means for: i. aggregating the mapped tokenized content of the interpreted content of the identified table; and ii. standardizing sign representation for numeric data of the interpreted content by processing a set of sign standardization rules without programming the set of sign standardization rules, the sign representation being standardized when different instances of the same token of the interpreted content of the identified table being represented with opposite signs; f. program instruction means for providing hyperlinks between the unstructured document and one or more steps of the process of structuring the tabular data, the one or more steps of the process of structuring of the tabular data comprise identifying the table, confirming the identified table, tokenizing the content of the identified table, interpreting the tokenized content, and standardizing the interpreted content, the hyperlinks being provided to enable a user to navigate back to the unstructured document from the one or more steps; and g. program instruction means for outputting the standardized table through a user interface. | 1. A computer program product for use with a computer, the computer program product comprising a computer usable medium having a computer readable program code embodied therein for automating a process of structuring the tabular data from unstructured documents, the unstructured documents comprising tabular and non-tabular data, the structuring of the tabular data from the unstructured documents being performed by accessing and processing a plurality of rules without programming of the plurality of rules, the rules being modeled as meta-data and stored as the meta-data in a database to provide flexibility of adding and modifying the rules, the computer program product comprising: a. program instruction means for identifying a table of interest from the tabular and non-tabular data in an unstructured document by processing a set of table identification rules without programming the set of table identification rules, the set of table identification rules being based on semantic descriptions, format, structure, grammar and content of the tabular and non-tabular data in the unstructured document; b. program instruction means for confirming the identified table by processing a set of table confirmation rules without programming the set of table confirmation rules, the set of table confirmation rules being used to verify that the identified table is a table of interest; c. program instruction means for tokenizing the content of the identified table into tokens by processing a set of parsing rules without programming the set of parsing rules; d. program instruction means for interpreting the tokenized content of the identified table, the tokenized content being interpreted with reference to a standardized template including a standardized set of data fields, the program instruction means for interpreting the tokenized content comprises program instruction means for: i. arranging the tokenized content of the identified table into one or more sections by processing a set of section identification rules without programming the set of section identification rules; and ii. mapping the tokenized content of each of the one or more sections onto the standardized set of data fields, by processing a set of interpretation rules without programming the set of interpretation rules; e. program instruction means for standardizing the interpreted content of the identified table by processing a set of standardization rules without programming the set of standardization rules, wherein the program instruction means for standardizing of the interpreted content comprises program instruction means for: i. aggregating the mapped tokenized content of the interpreted content of the identified table; and ii. standardizing sign representation for numeric data of the interpreted content by processing a set of sign standardization rules without programming the set of sign standardization rules, the sign representation being standardized when different instances of the same token of the interpreted content of the identified table being represented with opposite signs; f. program instruction means for providing hyperlinks between the unstructured document and one or more steps of the process of structuring the tabular data, the one or more steps of the process of structuring of the tabular data comprise identifying the table, confirming the identified table, tokenizing the content of the identified table, interpreting the tokenized content, and standardizing the interpreted content, the hyperlinks being provided to enable a user to navigate back to the unstructured document from the one or more steps; and g. program instruction means for outputting the standardized table through a user interface. 5. The computer program product according to claim 1 , wherein the set of table confirmation rules detect and validate the content of the identified table, end of the identified table, and neighborhood around beginning of the identified table. | 0.651522 |
11. A system comprising: a processor; and a memory coupled to the processor and storing instructions that, when executed by the processor, cause a computing device to: receive an indication of a gesture, the gesture being entered by a user at a first location of a touchscreen operatively coupled to the computing device; determine a context of the gesture, based at least in part on the type of the gesture and the type of information that is displayed proximate the first location of the touchscreen when the gesture is entered; responsive to determining that the gesture is a first type of known gesture, perform, using an application predetermined by the user, an action associated with the context of the gesture; and responsive to determining that the gesture is a second type of known gesture, output, for display, a prompt indicating a plurality of applications for the user to select an application from to perform an action associated with the context of the gesture, wherein the application that is predetermined by the user and each of the plurality of applications indicated by the prompt is a computer program that is executable by the computing device to perform the respective action. | 11. A system comprising: a processor; and a memory coupled to the processor and storing instructions that, when executed by the processor, cause a computing device to: receive an indication of a gesture, the gesture being entered by a user at a first location of a touchscreen operatively coupled to the computing device; determine a context of the gesture, based at least in part on the type of the gesture and the type of information that is displayed proximate the first location of the touchscreen when the gesture is entered; responsive to determining that the gesture is a first type of known gesture, perform, using an application predetermined by the user, an action associated with the context of the gesture; and responsive to determining that the gesture is a second type of known gesture, output, for display, a prompt indicating a plurality of applications for the user to select an application from to perform an action associated with the context of the gesture, wherein the application that is predetermined by the user and each of the plurality of applications indicated by the prompt is a computer program that is executable by the computing device to perform the respective action. 14. The system of claim 11 , wherein performing the action in response to the first type of known gesture comprises executing the application predetermined by the user. | 0.73839 |
19. A method of fitting graphical objects within a plurality of separate graphical frames in a document, each frame being associated with at least one value associated with a fitting attribute for fining one or more of the graphical objects in the frame, comprising: specifying details concerning the values of the attributes for the frames in a user interface; using an algorithm to automatically determine an optimized at least one value, wherein using the algorithm comprises: determining a plurality of intermediate optimized values, wherein each intermediate optimized value is associated with a particular frame; and selecting the optimized at least one value from said plurality of intermediate values, wherein said selecting is based on the specified details; and applying the optimized at least one value to each frame of the plurality of separate graphical frames to fit one or more of the graphical objects in each of the frames without modifying the size of the plurality of separate graphical frames. | 19. A method of fitting graphical objects within a plurality of separate graphical frames in a document, each frame being associated with at least one value associated with a fitting attribute for fining one or more of the graphical objects in the frame, comprising: specifying details concerning the values of the attributes for the frames in a user interface; using an algorithm to automatically determine an optimized at least one value, wherein using the algorithm comprises: determining a plurality of intermediate optimized values, wherein each intermediate optimized value is associated with a particular frame; and selecting the optimized at least one value from said plurality of intermediate values, wherein said selecting is based on the specified details; and applying the optimized at least one value to each frame of the plurality of separate graphical frames to fit one or more of the graphical objects in each of the frames without modifying the size of the plurality of separate graphical frames. 22. The method of claim 19 , wherein the details comprise a permissible range by which the at least one value may be modified during optimization. | 0.627915 |
1. A method for programmatically providing a user interface for forming a query, comprising: displaying a first row of query criteria, wherein the query criteria comprises a first operand, a second operand, and a comparative operator for comparing the first operand with the second operand; displaying a second row of query criteria, the second row being logically connected to the first row by a first Boolean connector; displaying a third row of query criteria, the third row being logically connected to the second row by a second Boolean connector; displaying a fourth row of query criteria; displaying the second row and third row together in a bounded area, wherein the bounded area indicates that the second row and the third row are on a child level from the first row, and that the query criteria from the second row and third row will be evaluated together before the query criteria from the first row; in response to a user drag-and-drop operation comprising moving the fourth row within the bounded area, nesting the fourth row of query criteria with the second row and third row of query criteria; and executing a query comprising evaluating the query criteria from the second row, third row, and fourth row together before evaluating the query criteria from the first row, wherein nested query criteria are evaluated before query criteria that are not nested. | 1. A method for programmatically providing a user interface for forming a query, comprising: displaying a first row of query criteria, wherein the query criteria comprises a first operand, a second operand, and a comparative operator for comparing the first operand with the second operand; displaying a second row of query criteria, the second row being logically connected to the first row by a first Boolean connector; displaying a third row of query criteria, the third row being logically connected to the second row by a second Boolean connector; displaying a fourth row of query criteria; displaying the second row and third row together in a bounded area, wherein the bounded area indicates that the second row and the third row are on a child level from the first row, and that the query criteria from the second row and third row will be evaluated together before the query criteria from the first row; in response to a user drag-and-drop operation comprising moving the fourth row within the bounded area, nesting the fourth row of query criteria with the second row and third row of query criteria; and executing a query comprising evaluating the query criteria from the second row, third row, and fourth row together before evaluating the query criteria from the first row, wherein nested query criteria are evaluated before query criteria that are not nested. 3. The method of claim 1 , wherein the bounded area comprises a box. | 0.59824 |
14. A system comprising: a tangible, non-transitory memory communicating with a processor for generating a job flowchart, the tangible, non-transitory memory having instructions stored thereon that, in response to execution by the processor, cause the processor to perform operations comprising: retrieving, by said processor, job scheduling data based on a parameter, wherein said job scheduling data defines automated tasks; transforming, by said processor, said job scheduling data into a text file, wherein said job scheduling data is automatically transformed into a text file in response to predetermined intervals; assigning, by said processor, a file extension to said text file based on a charting application; and transmitting, by said processor, said text file to facilitate opening said text file within said charting application, wherein said text file comprises said job flowchart. | 14. A system comprising: a tangible, non-transitory memory communicating with a processor for generating a job flowchart, the tangible, non-transitory memory having instructions stored thereon that, in response to execution by the processor, cause the processor to perform operations comprising: retrieving, by said processor, job scheduling data based on a parameter, wherein said job scheduling data defines automated tasks; transforming, by said processor, said job scheduling data into a text file, wherein said job scheduling data is automatically transformed into a text file in response to predetermined intervals; assigning, by said processor, a file extension to said text file based on a charting application; and transmitting, by said processor, said text file to facilitate opening said text file within said charting application, wherein said text file comprises said job flowchart. 15. The system of claim 14 , further comprising storing said job scheduling data within a database. | 0.540437 |
11. At least one non-transitory computer readable-storage medium for customizing the size of content displayed by a web browser at a view-based level based on user preference, the at least one non-transitory computer readable-storage medium storing computer executable instructions that, when loaded into computer memory and executed by at least one processor of a computing device, cause the computing device to perform the following steps: receiving a minimum font size to display for a specific user; monitoring retrieval of webpages by the web browser on a computer system, wherein a retrieved webpage comprises multiple views, wherein a view of a webpage comprises content to be displayed by the browser while at a current scrolled position in the webpage; prior to displaying a specific view of the retrieved webpage, resizing text in the specific view by examining all of the text in the specific view of the retrieved webpage and dynamically calculating font sizes for the text in the specific view of the retrieved webpage based on the minimum font size for the specific user, so that size proportionality between different font sizes in the specific view is maintained; displaying the specific view of the retrieved webpage with the resized text to the specific user; and as the specific user scrolls to additional views of the retrieved webpage, prior to displaying each specific additional view, resizing text in the specific additional view based on the minimum font size, and displaying the specific additional view of the retrieved webpage with the resized text to the specific user. | 11. At least one non-transitory computer readable-storage medium for customizing the size of content displayed by a web browser at a view-based level based on user preference, the at least one non-transitory computer readable-storage medium storing computer executable instructions that, when loaded into computer memory and executed by at least one processor of a computing device, cause the computing device to perform the following steps: receiving a minimum font size to display for a specific user; monitoring retrieval of webpages by the web browser on a computer system, wherein a retrieved webpage comprises multiple views, wherein a view of a webpage comprises content to be displayed by the browser while at a current scrolled position in the webpage; prior to displaying a specific view of the retrieved webpage, resizing text in the specific view by examining all of the text in the specific view of the retrieved webpage and dynamically calculating font sizes for the text in the specific view of the retrieved webpage based on the minimum font size for the specific user, so that size proportionality between different font sizes in the specific view is maintained; displaying the specific view of the retrieved webpage with the resized text to the specific user; and as the specific user scrolls to additional views of the retrieved webpage, prior to displaying each specific additional view, resizing text in the specific additional view based on the minimum font size, and displaying the specific additional view of the retrieved webpage with the resized text to the specific user. 12. The at least one non-transitory computer readable-storage medium of claim 11 further storing computer executable instructions to perform the following additional step: prompting the specific user to enter a desired minimum font size through a user interface. | 0.619013 |
2. The computer-implemented method of claim 1 , comprising: generating the second summary without input from a user. | 2. The computer-implemented method of claim 1 , comprising: generating the second summary without input from a user. 3. The computer-implemented method of claim 2 , the generating the second summary comprising: receiving a search query; identifying the document as pertaining to the search query; determining that no summaries indicative of the document are available; and generating the second summary upon determining that no summaries indicative of the document are available. | 0.867215 |
1. A method comprising: receiving, via a communication module, a non-linear content identifier request for non-linear content, wherein the non-linear content identifier request comprises a linear content identifier associated with linear content selected by a viewer and location data associated with the viewer; identifying, via a matching module, linear content metadata associated with the linear content identifier of the non-linear content identifier request, the linear content metadata representing at least one metadata keyword; and identifying, via the matching module, a relationship between the at least one metadata keyword and at least one non-linear content keyword bid on by one or more advertisers associated with a time slot. | 1. A method comprising: receiving, via a communication module, a non-linear content identifier request for non-linear content, wherein the non-linear content identifier request comprises a linear content identifier associated with linear content selected by a viewer and location data associated with the viewer; identifying, via a matching module, linear content metadata associated with the linear content identifier of the non-linear content identifier request, the linear content metadata representing at least one metadata keyword; and identifying, via the matching module, a relationship between the at least one metadata keyword and at least one non-linear content keyword bid on by one or more advertisers associated with a time slot. 18. The method of claim 1 , wherein the non-linear content identifier request includes the linear content metadata. | 0.581019 |
1. A method for automatically annotating a video in a computer system, comprising: receiving a video comprising a plurality of frames; obtaining images contained in two or more representative frames from the video; for each of the images, iteratively extracting image features from the image on different spatial scales, wherein the image features comprise visual characteristics associated with tiles of different sizes within the image; matching the extracted image features to known image features; identifying other images with similar image features using one or more combinations of the matched image features; obtaining text associated with the other images, wherein obtaining the text associated with the other images comprises obtaining text that surrounds each image in a web page in which the image is located; identifying one or more intersecting keywords in the text associated with the other images; and annotating the image with the intersecting keywords using the computer system; analyzing the keywords for the images to determine a common set of keywords; and annotating the video using the common set of keywords. | 1. A method for automatically annotating a video in a computer system, comprising: receiving a video comprising a plurality of frames; obtaining images contained in two or more representative frames from the video; for each of the images, iteratively extracting image features from the image on different spatial scales, wherein the image features comprise visual characteristics associated with tiles of different sizes within the image; matching the extracted image features to known image features; identifying other images with similar image features using one or more combinations of the matched image features; obtaining text associated with the other images, wherein obtaining the text associated with the other images comprises obtaining text that surrounds each image in a web page in which the image is located; identifying one or more intersecting keywords in the text associated with the other images; and annotating the image with the intersecting keywords using the computer system; analyzing the keywords for the images to determine a common set of keywords; and annotating the video using the common set of keywords. 9. The method of claim 1 , wherein identifying the other images with the similar image features involves using probability models. | 0.630449 |
9. A computer-readable hardware storage medium having instructions stored thereon, which, when executed by a processor, causes the processor to perform operations for building a web address, the operations comprising: presenting a setup dialog in a single window on a display device, the setup dialog having a website listing area, a parameter edit area, and a web address edit area; displaying in the website listing area a list of websites, each of the websites having a corresponding website Uniform Resource Locator (URL) template for building a web address expression for a web address for the website within the setup dialog; receiving a first input through the setup dialog in the website listing area, the first input specifying a website from the list of websites; automatically determining a list of parameters of the web address for the website based on the corresponding website URL template of the website; presenting the list of parameters in the setup dialog in the parameter edit area; for each parameter presented in the parameter edit area, generating a corresponding parameter edit input for the parameter; receiving a second input through the setup dialog in a parameter edit input for a first parameter, the second input specifying a value for the first parameter; and building the web address expression dynamically in the web address edit area, the web address expression including the first parameter set to the specified value. | 9. A computer-readable hardware storage medium having instructions stored thereon, which, when executed by a processor, causes the processor to perform operations for building a web address, the operations comprising: presenting a setup dialog in a single window on a display device, the setup dialog having a website listing area, a parameter edit area, and a web address edit area; displaying in the website listing area a list of websites, each of the websites having a corresponding website Uniform Resource Locator (URL) template for building a web address expression for a web address for the website within the setup dialog; receiving a first input through the setup dialog in the website listing area, the first input specifying a website from the list of websites; automatically determining a list of parameters of the web address for the website based on the corresponding website URL template of the website; presenting the list of parameters in the setup dialog in the parameter edit area; for each parameter presented in the parameter edit area, generating a corresponding parameter edit input for the parameter; receiving a second input through the setup dialog in a parameter edit input for a first parameter, the second input specifying a value for the first parameter; and building the web address expression dynamically in the web address edit area, the web address expression including the first parameter set to the specified value. 16. The computer-readable storage medium of claim 9 , where presenting the parameter in the setup dialog further comprises: presenting the list of parameters in the setup dialog in accordance with grammar associated with the website URL template, the grammar associated with the website URL template including: a website URL template tag structure that contains the website URL template; and a URL element tag structure that specifies one of a literal string or a parameter for a common gateway interface associated with the web address. | 0.689827 |
1. An ontology processing device for processing an ontology, comprising: a data input device; a memory; a processor; and a computer program with instructions that, when said processor executes said instructions, is configured as a structuralizing device which corrects a structure of ontology in a prescribed form created from a set of instance data containing a combination of a subject, a property, and an object expressed with a character string; wherein the structuralizing device comprises a necessity degree judging device which judges whether each of the properties contained in the ontology is an essential property or unessential property for a concept that is defined within the ontology and related to each of the properties according to statistical features of the objects contained in the set of the instance data, and corrects the structure of the ontology regarding the corresponding properties according to results of the judgments, and wherein the necessity degree judging device changes the property that is judged as unessential to a property having an inverted definition range and an inverted value range. | 1. An ontology processing device for processing an ontology, comprising: a data input device; a memory; a processor; and a computer program with instructions that, when said processor executes said instructions, is configured as a structuralizing device which corrects a structure of ontology in a prescribed form created from a set of instance data containing a combination of a subject, a property, and an object expressed with a character string; wherein the structuralizing device comprises a necessity degree judging device which judges whether each of the properties contained in the ontology is an essential property or unessential property for a concept that is defined within the ontology and related to each of the properties according to statistical features of the objects contained in the set of the instance data, and corrects the structure of the ontology regarding the corresponding properties according to results of the judgments, and wherein the necessity degree judging device changes the property that is judged as unessential to a property having an inverted definition range and an inverted value range. 9. The ontology processing device as claimed in claim 1 , comprising a property integration device which judges, regarding any of two properties contained in the ontology, whether or not sets of objects that are value ranges thereof are common to each other, and integrates the properties and the objects of the properties that are considered in common. | 0.690796 |
1. A method of assisting a care provider in the documentation of self-performance and support information for a person, the method comprising: using at least one processor, providing a speech dialog with a care provider using the generation of speech to play to the care provider and the capture of speech spoken by a care provider, the speech dialog providing assistance to the care provider in providing care for a person according to a care plan for the person; the care plan including at least one activity requiring a level of performance by the person; for the at least one activity, providing at least one speech inquiry to the care provider, through the speech dialog, regarding performance of the activity by the person; for the at least one activity, providing at least one speech inquiry to the care provider, through the speech dialog, regarding care provider assistance in the performance of the activity by the person; capturing speech input from the care provider that is responsive to the speech inquiries; and determining, from the speech input, a code that indicates the self-performance of the person and support information for a care provider. | 1. A method of assisting a care provider in the documentation of self-performance and support information for a person, the method comprising: using at least one processor, providing a speech dialog with a care provider using the generation of speech to play to the care provider and the capture of speech spoken by a care provider, the speech dialog providing assistance to the care provider in providing care for a person according to a care plan for the person; the care plan including at least one activity requiring a level of performance by the person; for the at least one activity, providing at least one speech inquiry to the care provider, through the speech dialog, regarding performance of the activity by the person; for the at least one activity, providing at least one speech inquiry to the care provider, through the speech dialog, regarding care provider assistance in the performance of the activity by the person; capturing speech input from the care provider that is responsive to the speech inquiries; and determining, from the speech input, a code that indicates the self-performance of the person and support information for a care provider. 7. The method of claim 1 , wherein the at least one speech inquiry to the care provider regarding care provider assistance in the performance of the activity by the person includes a speech inquiry regarding the number of care providers participating in the activity. | 0.697517 |
6. The computer-implemented method of claim 2 , wherein accessing a mapping comprises accessing a function. | 6. The computer-implemented method of claim 2 , wherein accessing a mapping comprises accessing a function. 7. The computer-implemented method of claim 6 , wherein: the type inference is performed by a compiler; and the process further comprises: receiving user input at the compiler registering the function. | 0.931386 |
1. A system comprising at least one processor configured to form: a computer-implemented lexicon manager configured to receive a multiword lexicon entry for a multiword expression of a natural language, wherein the multiword lexicon entry comprises Grammar Abstract Language (GAL) code describing a dependency tree comprising a plurality of nodes, the GAL code describing an attribute-value tree for each dependency tree node, and in response to displaying a graphical representation of the dependency tree on a computer-implemented display device, receive a user input indicating a modification of the dependency tree, and determine an edited lexicon entry according to the multiword lexicon entry and the modification, wherein the edited lexicon entry comprises GAL code, and wherein the display device is configured to receive user input indicating modifications of the dependency tree including a dependency tree node creation, a dependency tree node deletion, an inter-node link creation, an inter-node link deletion, a modification of a type of inter-node link, and a textual annotation of a dependency tree node; and a GAL compiler connected to the lexicon manager and configured to compile the GAL code representing the edited lexicon entry into Extensible Markup Language (XML) code. | 1. A system comprising at least one processor configured to form: a computer-implemented lexicon manager configured to receive a multiword lexicon entry for a multiword expression of a natural language, wherein the multiword lexicon entry comprises Grammar Abstract Language (GAL) code describing a dependency tree comprising a plurality of nodes, the GAL code describing an attribute-value tree for each dependency tree node, and in response to displaying a graphical representation of the dependency tree on a computer-implemented display device, receive a user input indicating a modification of the dependency tree, and determine an edited lexicon entry according to the multiword lexicon entry and the modification, wherein the edited lexicon entry comprises GAL code, and wherein the display device is configured to receive user input indicating modifications of the dependency tree including a dependency tree node creation, a dependency tree node deletion, an inter-node link creation, an inter-node link deletion, a modification of a type of inter-node link, and a textual annotation of a dependency tree node; and a GAL compiler connected to the lexicon manager and configured to compile the GAL code representing the edited lexicon entry into Extensible Markup Language (XML) code. 2. The system of claim 1 , wherein the GAL compiler is further configured, in response to compiling the GAL code, to transmit the XML code to a lexicon knowledgebase stored on a computer-readable medium. | 0.731499 |
5. The method of claim 1 , wherein the first analysis involves causing the text to be processed through a first filter that is based on a first selected set of rules; wherein the second analysis involves causing the text to be processed through a second filter that is based on a second selected set of rules. | 5. The method of claim 1 , wherein the first analysis involves causing the text to be processed through a first filter that is based on a first selected set of rules; wherein the second analysis involves causing the text to be processed through a second filter that is based on a second selected set of rules. 6. The method of claim 5 , wherein the question is displayed on a web page, and further comprising the step of displaying the answer on the web page if the third numerical value is greater than a threshold numerical value. | 0.944138 |
50. The apparatus of claim 42 further comprising speech transformation means which changes the speed of a verbal message, the speech transformation means being controlled by the lesser skilled individual to process the communication. | 50. The apparatus of claim 42 further comprising speech transformation means which changes the speed of a verbal message, the speech transformation means being controlled by the lesser skilled individual to process the communication. 51. The apparatus of claim 50 wherein the processor notifies the skilled individual when the lesser skilled individual controls the speech transformation means. | 0.903196 |
1. A computer-implemented method for generating consumer sentiment and attribute correlation visualizations from data obtained from a plurality of data sources, comprising: integrating data from a plurality of data sources; receiving a business intelligence query from a user; parsing the business intelligence query to determine polarity, emotion and topicality (PET) of the query; selecting key attributes from a plurality of available attributes in the integrated data responsive to the PET; compiling the selected key attributes into a metadata construct; generating at least one consumer segment using social network data located in the metadata construct; generating sentiment for the at least one consumer segment using the metadata construct by load balancing multiple servers operating in parallel coupled to a local database for storing transient analytics data from the plurality of data sources and analysis results thereby enhancing analysis performance, wherein the generation of the sentiment is by name-value pair modeling; generating correlations between attributes of the integrated data; and generating a visualization of the segment, sentiment and correlations as an infographic and chart; outputting the visualization in an electronic format accessible by a third party application. | 1. A computer-implemented method for generating consumer sentiment and attribute correlation visualizations from data obtained from a plurality of data sources, comprising: integrating data from a plurality of data sources; receiving a business intelligence query from a user; parsing the business intelligence query to determine polarity, emotion and topicality (PET) of the query; selecting key attributes from a plurality of available attributes in the integrated data responsive to the PET; compiling the selected key attributes into a metadata construct; generating at least one consumer segment using social network data located in the metadata construct; generating sentiment for the at least one consumer segment using the metadata construct by load balancing multiple servers operating in parallel coupled to a local database for storing transient analytics data from the plurality of data sources and analysis results thereby enhancing analysis performance, wherein the generation of the sentiment is by name-value pair modeling; generating correlations between attributes of the integrated data; and generating a visualization of the segment, sentiment and correlations as an infographic and chart; outputting the visualization in an electronic format accessible by a third party application. 9. The method of claim 1 wherein the selected key attributes are name value pair requests. | 0.630787 |
14. A computer program product for use with a computer having a microprocessor, the computer program product comprising a non-transitory computer readable program code embodied therein for determining a part-of-speech (POS) category of a word in a text, the computer readable program code comprising: program instruction means for determining a first set of candidate POS categories associated with the word; and program instruction means for determining a POS category based on a first set of rules and a second set of rules, wherein the first set of rules determine a second set of candidate POS categories from the first set of candidate POS categories, and wherein the second set of rules determine the POS category from the second set of candidate POS categories. | 14. A computer program product for use with a computer having a microprocessor, the computer program product comprising a non-transitory computer readable program code embodied therein for determining a part-of-speech (POS) category of a word in a text, the computer readable program code comprising: program instruction means for determining a first set of candidate POS categories associated with the word; and program instruction means for determining a POS category based on a first set of rules and a second set of rules, wherein the first set of rules determine a second set of candidate POS categories from the first set of candidate POS categories, and wherein the second set of rules determine the POS category from the second set of candidate POS categories. 15. The computer program product of claim 14 further comprises a program instruction means for defining the first and the second set of rules respectively. | 0.897368 |
9. An apparatus for processing a query based on associating intent and audience, the apparatus comprising: at least one processor; and at least one memory including computer program code for one or more programs, the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to perform at least the following, receive, utilizing at least one interface, the query including text from a user; parse, utilizing at least one processor, the text of the received query to identify one or more words and/or terms associated with the query; calculate a probability that the identified one or more words and/or terms are associated with one or more topics; identify the associated one or more topics with the received query based on the calculated probability meeting or exceeding a predetermined threshold; map the identified one or more topics of the query to predetermined topics associated with the user based on one or more calculations determining a probability that the query belongs to the one or more topics that is a subset of the predetermined topics associated with the user; classify the query as belonging to a public question class, a personal request class or a combination thereof based, at least in part, on the identified one or more topics; determine one or more candidate audience members for forwarding the query based, at least in part, on the classification of the query and the one or more mapped predetermined topics of the query associated with the user that are shared by the one or more candidate audience members; and forward, utilizing the at least one interface, the query via a network to one or more devices of the one or more candidate audience members. | 9. An apparatus for processing a query based on associating intent and audience, the apparatus comprising: at least one processor; and at least one memory including computer program code for one or more programs, the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to perform at least the following, receive, utilizing at least one interface, the query including text from a user; parse, utilizing at least one processor, the text of the received query to identify one or more words and/or terms associated with the query; calculate a probability that the identified one or more words and/or terms are associated with one or more topics; identify the associated one or more topics with the received query based on the calculated probability meeting or exceeding a predetermined threshold; map the identified one or more topics of the query to predetermined topics associated with the user based on one or more calculations determining a probability that the query belongs to the one or more topics that is a subset of the predetermined topics associated with the user; classify the query as belonging to a public question class, a personal request class or a combination thereof based, at least in part, on the identified one or more topics; determine one or more candidate audience members for forwarding the query based, at least in part, on the classification of the query and the one or more mapped predetermined topics of the query associated with the user that are shared by the one or more candidate audience members; and forward, utilizing the at least one interface, the query via a network to one or more devices of the one or more candidate audience members. 13. An apparatus of claim 9 , wherein the apparatus is further caused to: determine a ranking of the one or more candidate audience members in the order of a likelihood that the one or more candidate audience members will answer the query; and initiate a presentation of the audience in the ranked order of candidate audience members. | 0.60793 |
12. The method according to claim 1 , wherein said building, said display, and said character are virtual. | 12. The method according to claim 1 , wherein said building, said display, and said character are virtual. 13. The method according to claim 12 , wherein said building, said display, and said character are computer-generated. | 0.961464 |
31. A system comprising one or more computers and one or more storage devices storing instructions that when executed by the one or more computers cause the one or more computers to perform operations comprising: determining that a first search query includes a respective text reference to each of one or more predetermined attributes, wherein each attribute is associated with a first entity type; generating a second search query including the first search query and one or more terms that refer to the first entity type; and evaluating search results obtained for the second search query to select one or more names of entities of the first entity type to include in a response to the first search query, wherein each search result identifies a respective search result resource, and wherein evaluating the search results comprises: identifying occurrences of references to entities of the first entity type in the same search result resource as one or more terms from the first search query; and selecting the names of entities based on the identified occurrences. | 31. A system comprising one or more computers and one or more storage devices storing instructions that when executed by the one or more computers cause the one or more computers to perform operations comprising: determining that a first search query includes a respective text reference to each of one or more predetermined attributes, wherein each attribute is associated with a first entity type; generating a second search query including the first search query and one or more terms that refer to the first entity type; and evaluating search results obtained for the second search query to select one or more names of entities of the first entity type to include in a response to the first search query, wherein each search result identifies a respective search result resource, and wherein evaluating the search results comprises: identifying occurrences of references to entities of the first entity type in the same search result resource as one or more terms from the first search query; and selecting the names of entities based on the identified occurrences. 35. The system of claim 31 , the operations further comprising: identifying resources that include one or more references to entities of the first entity type; and annotating each of the identified resources with an annotation in an index database to indicate that the resource includes one or more references to entities of the first entity type. | 0.505328 |
1. A method comprising: determining, by one or more processors, one or more topics associated with a message based at least in part on message data included in the message; determining, by the one or more processors, knowledge data describing the one or more topics associated with the message; determining, by the one or more processors, social activity data describing one or more user activities associated with a group of one or more social users based at least in part on the knowledge data, the one or more user activities describing the one or more topics; generating, by the one or more processors, a selectable tag based at least in part on the social activity data describing the one or more user activities, a selection of the selectable tag causing a display of the social activity data associated with the message; and generating, by the one or more processors, graphical user interface data for displaying the social activity data associated with the message in response to the selectable tag being selected. | 1. A method comprising: determining, by one or more processors, one or more topics associated with a message based at least in part on message data included in the message; determining, by the one or more processors, knowledge data describing the one or more topics associated with the message; determining, by the one or more processors, social activity data describing one or more user activities associated with a group of one or more social users based at least in part on the knowledge data, the one or more user activities describing the one or more topics; generating, by the one or more processors, a selectable tag based at least in part on the social activity data describing the one or more user activities, a selection of the selectable tag causing a display of the social activity data associated with the message; and generating, by the one or more processors, graphical user interface data for displaying the social activity data associated with the message in response to the selectable tag being selected. 4. The method of claim 1 further comprising ranking the social activity data based at least in part on the one or more topics. | 0.805556 |
8. A system comprising: a touch-sensitive display; and a non-transitory memory coupled to a processor, and containing instructions that when executed by at least one processor cause the system to: receive, by a processor, a plurality of electronic document snippets, each respective electronic document snippet from the plurality of electronic document snippets being based on a respective electronic document from a plurality of electronic documents and including, at most, a first predetermined maximum amount of the electronic document; output, by the processor, and for simultaneous display at the touch-sensitive display: an expanded view of a first snippet from the plurality of snippets, the first snippet being based on a first electronic document from the plurality of electronic documents, the expanded view including, at most, a second predetermined maximum amount of the first electronic document; and a condensed view of a second snippet from the plurality of snippets, the second snippet being based on a second electronic document from the plurality of electronic documents, the condensed view including, at most, a third predetermined maximum amount of the second electronic document, the third predetermined maximum amount less than the second predetermined maximum amount; and receive an indication of a single swipe gesture received at the touch-sensitive display; responsive to determining that the gesture corresponds to one or more of deleting, archiving, and marking actions, sorting the first electronic document based on the corresponding actions; and output, for display, an expanded view of the second snippet from the plurality of snippets in place of the expanded view of the first snippet from the plurality of snippets. | 8. A system comprising: a touch-sensitive display; and a non-transitory memory coupled to a processor, and containing instructions that when executed by at least one processor cause the system to: receive, by a processor, a plurality of electronic document snippets, each respective electronic document snippet from the plurality of electronic document snippets being based on a respective electronic document from a plurality of electronic documents and including, at most, a first predetermined maximum amount of the electronic document; output, by the processor, and for simultaneous display at the touch-sensitive display: an expanded view of a first snippet from the plurality of snippets, the first snippet being based on a first electronic document from the plurality of electronic documents, the expanded view including, at most, a second predetermined maximum amount of the first electronic document; and a condensed view of a second snippet from the plurality of snippets, the second snippet being based on a second electronic document from the plurality of electronic documents, the condensed view including, at most, a third predetermined maximum amount of the second electronic document, the third predetermined maximum amount less than the second predetermined maximum amount; and receive an indication of a single swipe gesture received at the touch-sensitive display; responsive to determining that the gesture corresponds to one or more of deleting, archiving, and marking actions, sorting the first electronic document based on the corresponding actions; and output, for display, an expanded view of the second snippet from the plurality of snippets in place of the expanded view of the first snippet from the plurality of snippets. 9. The system of claim 8 , the first electronic document and second electronic document being email documents, the respective snippets based on the first electronic document and second electronic document each including a subject of the respective email document, a sender of the respective email document, and a respective portion of a body of the email document. | 0.577881 |
1. A method for estimating parameters for features of a translation scoring function and for scoring candidate translations in a target domain comprising: receiving a monolingual source corpus for a target domain and deriving n-gram counts from the monolingual source corpus or receiving n-gram counts derived only from the monolingual source corpus, the monolingual source corpus comprising sentences in a source language; generating a multi-model for the target domain based on a phrase table for each of a set of comparative domains and a measure of similarity between the n-gram counts derived only from the source corpus for the target domain and the phrase tables for the comparative domains, each of the phrase tables storing a value for each of a set of features for each of a set of biphrases, the generated target domain multi-model being a weighted combination of two or more of the phrase tables for the comparative domains; for the target domain, computing a measure of similarity between the monolingual source corpus and the target domain multi-model; for each of a plurality of the comparative domains, computing a measure of similarity between a source corpus for the comparative domain and a respective comparative domain multi-model that is derived from phrase tables for others of the set of the comparative domains, each of the plurality of comparative domains being associated with parameters for at least some of the features of the translation scoring function; estimating the parameters of the translation scoring function for the target domain based on the computed measure of similarity between the source corpus and the target domain multi-model, the computed measures of similarity for the comparative domains, and the parameters for the scoring function for the comparative domains; and with a statistical machine translation component, scoring a translation with the translation scoring function, wherein the generating of the target domain multi-model, computing the measure of similarity between the source corpus and the target domain multi-model, computing the measure of similarity between a source corpus for the comparative domains and the respective comparative domain multi-models, and the estimating the parameters for the translation scoring function are performed with a computer processor. | 1. A method for estimating parameters for features of a translation scoring function and for scoring candidate translations in a target domain comprising: receiving a monolingual source corpus for a target domain and deriving n-gram counts from the monolingual source corpus or receiving n-gram counts derived only from the monolingual source corpus, the monolingual source corpus comprising sentences in a source language; generating a multi-model for the target domain based on a phrase table for each of a set of comparative domains and a measure of similarity between the n-gram counts derived only from the source corpus for the target domain and the phrase tables for the comparative domains, each of the phrase tables storing a value for each of a set of features for each of a set of biphrases, the generated target domain multi-model being a weighted combination of two or more of the phrase tables for the comparative domains; for the target domain, computing a measure of similarity between the monolingual source corpus and the target domain multi-model; for each of a plurality of the comparative domains, computing a measure of similarity between a source corpus for the comparative domain and a respective comparative domain multi-model that is derived from phrase tables for others of the set of the comparative domains, each of the plurality of comparative domains being associated with parameters for at least some of the features of the translation scoring function; estimating the parameters of the translation scoring function for the target domain based on the computed measure of similarity between the source corpus and the target domain multi-model, the computed measures of similarity for the comparative domains, and the parameters for the scoring function for the comparative domains; and with a statistical machine translation component, scoring a translation with the translation scoring function, wherein the generating of the target domain multi-model, computing the measure of similarity between the source corpus and the target domain multi-model, computing the measure of similarity between a source corpus for the comparative domains and the respective comparative domain multi-models, and the estimating the parameters for the translation scoring function are performed with a computer processor. 16. A system for estimating parameters for features of a translation scoring function comprising memory which stores instructions for performing the method of claim 1 and a processor in communication with the memory for executing the instructions. | 0.542879 |
7. The method of claim 1 , wherein said converting the font comprises replacing the font with one of: a TrueType font; and an Embedded OpenType font. | 7. The method of claim 1 , wherein said converting the font comprises replacing the font with one of: a TrueType font; and an Embedded OpenType font. 8. The method of claim 7 , wherein said converting the font comprises: converting the font into a scalable vector graphics format prior to said replacing. | 0.959275 |
17. A method comprising: engaging in a speech dialog with a user to determine an intent of the user, wherein engaging in the speech dialog comprises engaging in a first dialog turn, a second dialog turn, and a third dialog turn with the user wherein engaging in the first dialog turn comprises: receiving a first audio signal produced by a first device, the first audio signal representing first user speech; and determining, based at least in part on providing the first audio signal to a speech service, a first meaning of the first user speech; wherein engaging in the second dialog turn comprises: receiving a second audio signal produced using a microphone of a second device, the second audio signal representing second user speech; determining, based at least in part on providing the second audio signal to the speech service, a second meaning of the second user speech; and wherein engaging in the third dialog turn comprises: receiving, based at least in part on a predefined time period elapsing after engaging in the second dialog turn without actuation of a talk control of the first device, a third audio signal from the second device, the third audio signal representing third user speech; and determining a third meaning of the third user speech. | 17. A method comprising: engaging in a speech dialog with a user to determine an intent of the user, wherein engaging in the speech dialog comprises engaging in a first dialog turn, a second dialog turn, and a third dialog turn with the user wherein engaging in the first dialog turn comprises: receiving a first audio signal produced by a first device, the first audio signal representing first user speech; and determining, based at least in part on providing the first audio signal to a speech service, a first meaning of the first user speech; wherein engaging in the second dialog turn comprises: receiving a second audio signal produced using a microphone of a second device, the second audio signal representing second user speech; determining, based at least in part on providing the second audio signal to the speech service, a second meaning of the second user speech; and wherein engaging in the third dialog turn comprises: receiving, based at least in part on a predefined time period elapsing after engaging in the second dialog turn without actuation of a talk control of the first device, a third audio signal from the second device, the third audio signal representing third user speech; and determining a third meaning of the third user speech. 20. The method of claim 17 , further comprising: analyzing the first audio signal to recognize the first user speech; and analyzing the second audio signal to recognize the second user speech. | 0.770952 |
8. A non-transitory computer-readable storage module containing instructions which, when executed by a computing device, cause the computing device to generate a speech recognition model, the instructions comprising: retrieving a list of numbers in a calling history associated with an individual; identifying data of a social network associated with each number in the list of numbers; refining the data of the social network based on at least one parameter, to yield refined data of the social network; and creating, via a processor, a language model for the individual based on the refined data of the social network. | 8. A non-transitory computer-readable storage module containing instructions which, when executed by a computing device, cause the computing device to generate a speech recognition model, the instructions comprising: retrieving a list of numbers in a calling history associated with an individual; identifying data of a social network associated with each number in the list of numbers; refining the data of the social network based on at least one parameter, to yield refined data of the social network; and creating, via a processor, a language model for the individual based on the refined data of the social network. 13. The non-transitory computer-readable storage module of claim 8 , further comprising implementing the language model in a spoken dialog system at a time based on a history of the individual and to anticipate user input. | 0.640984 |
13. One or more non-transitory computer-readable media storing sequences of instructions, which, when executed by one or more hardware processors, cause: receiving a query for a target data set managed by a database management system, the query specifying a predicate for a column of the target data set, said predicate comprising a filtering value to be compared with row values of the particular column of the target data set; prior to accessing a plurality of data block sets that store the target data set in persistent storage, identifying a plurality of in-memory summaries, each in-memory summary of said plurality of in-memory summaries corresponding to a corresponding data block set from the plurality of data block sets, said each in- memory summary comprising one or more in-memory data structures, each in- memory data structure of said one or more in-memory data structures representing values stored in the corresponding data block set in a corresponding column of the target data set; wherein a particular in-memory data structure of said plurality of in-memory summaries represents values of the particular column stored in a particular data block set of said plurality of data block sets; determining whether the particular data block set can possibly contain the filtering value in the particular column by at least determining, based on the particular in- memory data structure, a set of membership of said filtering value in the values of the particular column stored in said particular data block set; if the determination is that the particular data block set cannot possibly contain the filtering value in the particular column, skipping a retrieval of the particular data block set from the persistent storage in evaluating the query; and if the determination is that the particular data block set can possibly contain the filtering value in the particular column, retrieving the particular data block set from the persistent storage for evaluating the query. | 13. One or more non-transitory computer-readable media storing sequences of instructions, which, when executed by one or more hardware processors, cause: receiving a query for a target data set managed by a database management system, the query specifying a predicate for a column of the target data set, said predicate comprising a filtering value to be compared with row values of the particular column of the target data set; prior to accessing a plurality of data block sets that store the target data set in persistent storage, identifying a plurality of in-memory summaries, each in-memory summary of said plurality of in-memory summaries corresponding to a corresponding data block set from the plurality of data block sets, said each in- memory summary comprising one or more in-memory data structures, each in- memory data structure of said one or more in-memory data structures representing values stored in the corresponding data block set in a corresponding column of the target data set; wherein a particular in-memory data structure of said plurality of in-memory summaries represents values of the particular column stored in a particular data block set of said plurality of data block sets; determining whether the particular data block set can possibly contain the filtering value in the particular column by at least determining, based on the particular in- memory data structure, a set of membership of said filtering value in the values of the particular column stored in said particular data block set; if the determination is that the particular data block set cannot possibly contain the filtering value in the particular column, skipping a retrieval of the particular data block set from the persistent storage in evaluating the query; and if the determination is that the particular data block set can possibly contain the filtering value in the particular column, retrieving the particular data block set from the persistent storage for evaluating the query. 19. The one or more non-transitory computer-readable media of claim 13 , wherein the particular in-memory data structure is a dictionary data structure; and the sequences of instructions further include instructions which, when executed by the one or more hardware processors, cause: generating a hash value for the filtering value by applying a hash algorithm to the filtering value; comparing the hash value of the filtering value to one or more hash values stored in the dictionary data structure; if the hash value for the filtering value exists in the dictionary data structure, then determining the particular data block set can possibly contain the filtering value in the particular column of the target data set; and if the hash value for the filtering value does not exist in the dictionary data structure, then determining the particular data block set cannot possibly contain the filtering value in the particular column of the target data set. | 0.55655 |
10. A method for generating a summary of a document displayed on an apparatus, the method comprising: displaying the document including at least one page; receiving a first input; determining whether a type of the first input is an indicator type or a handwritten type, based on point information regarding strokes of the first input; displaying a handwritten character corresponding to the first input on the displayed document, in response to determining the type of the first input is the handwritten type; extracting a region including the handwritten character corresponding to the first input, in the document; storing information regarding the extracted region, wherein the information regarding the extracted region includes a page number and a location information in the document regarding the extracted region; in response to receiving a second input for requesting the summary of the document, generating the summary of the document using at least one image of the handwritten character captured based on the stored information; displaying the summary of the document including the at least one image of the handwritten character; and displaying a page of the document corresponding to a first image in the summary of the document, in response to receiving a third input for selecting the first image from the at least one image in the summary of the document. | 10. A method for generating a summary of a document displayed on an apparatus, the method comprising: displaying the document including at least one page; receiving a first input; determining whether a type of the first input is an indicator type or a handwritten type, based on point information regarding strokes of the first input; displaying a handwritten character corresponding to the first input on the displayed document, in response to determining the type of the first input is the handwritten type; extracting a region including the handwritten character corresponding to the first input, in the document; storing information regarding the extracted region, wherein the information regarding the extracted region includes a page number and a location information in the document regarding the extracted region; in response to receiving a second input for requesting the summary of the document, generating the summary of the document using at least one image of the handwritten character captured based on the stored information; displaying the summary of the document including the at least one image of the handwritten character; and displaying a page of the document corresponding to a first image in the summary of the document, in response to receiving a third input for selecting the first image from the at least one image in the summary of the document. 13. The method of claim 10 , wherein displaying the handwritten character corresponding to the first input on the displayed document comprises: displaying an indicator corresponding to the first input on the displayed document, if the type of the first input is determined as the indicator type. | 0.592532 |
14. The apparatus of claim 13 , wherein the processor is further configured to display the focus on the first text field, the display position of which has been adjusted. | 14. The apparatus of claim 13 , wherein the processor is further configured to display the focus on the first text field, the display position of which has been adjusted. 15. The apparatus of claim 14 , wherein the processor is further configured to enter text entered through the displayed SIP into the first text field. | 0.937974 |
10. A device, comprising: a database storing a first given target; a processor in connection with said database, said processor configured to: receive a first dataset including a first given source and the corresponding first given target; parse the first given source to determine a first parsed target output in accordance with a parsing model having a first parsing parameter; determine an intrinsic loss based upon an intrinsic loss function, the first parsed target and the first given target; receive a second dataset containing a second given source and a corresponding second given target; parse the second given source input to generate k-best parses in accordance with the parsing model having a second parsing parameter, the k-best parses including a 1-best parse; determine a lowest cost parse among the k-best parses; determine an extrinsic loss based upon an extrinsic loss function, the lowest cost parse and the 1-best parse; modify the first parsing parameter based on the determination of the intrinsic loss; and modify the second parsing parameter based on the determination of the extrinsic loss, or modify the first parameter based on the determination of the intrinsic loss and modify the second parsing parameter based on the determination of the extrinsic loss. | 10. A device, comprising: a database storing a first given target; a processor in connection with said database, said processor configured to: receive a first dataset including a first given source and the corresponding first given target; parse the first given source to determine a first parsed target output in accordance with a parsing model having a first parsing parameter; determine an intrinsic loss based upon an intrinsic loss function, the first parsed target and the first given target; receive a second dataset containing a second given source and a corresponding second given target; parse the second given source input to generate k-best parses in accordance with the parsing model having a second parsing parameter, the k-best parses including a 1-best parse; determine a lowest cost parse among the k-best parses; determine an extrinsic loss based upon an extrinsic loss function, the lowest cost parse and the 1-best parse; modify the first parsing parameter based on the determination of the intrinsic loss; and modify the second parsing parameter based on the determination of the extrinsic loss, or modify the first parameter based on the determination of the intrinsic loss and modify the second parsing parameter based on the determination of the extrinsic loss. 11. The device of claim 10 , wherein the intrinsic loss function is based on a labeled attachment score. | 0.889634 |
8. A method comprising: generating, by a source code editor, a display of editor suggestions based on program source code to be edited, the display of editor suggestions comprising a collection of entries; triggering, by the source code editor, execution of extension code as a result of the display of editor suggestions, wherein the extension code is distinct from the source code to be edited and is loaded from an external source into the source code editor, determining, by executing the extension code, that the display of editor suggestions is to be modified, and changing the display of editor suggestions upon determining by the extension code that the editor display is to be modified; and displaying, by the source code editor, the changed editor display. | 8. A method comprising: generating, by a source code editor, a display of editor suggestions based on program source code to be edited, the display of editor suggestions comprising a collection of entries; triggering, by the source code editor, execution of extension code as a result of the display of editor suggestions, wherein the extension code is distinct from the source code to be edited and is loaded from an external source into the source code editor, determining, by executing the extension code, that the display of editor suggestions is to be modified, and changing the display of editor suggestions upon determining by the extension code that the editor display is to be modified; and displaying, by the source code editor, the changed editor display. 12. The method of claim 8 , wherein the display of editor suggestions includes a completion list, a completion hint or function help. | 0.603971 |
6. The speech recognition dictionary compilation assisting system according to claim 1 , wherein said update processing section corrects the language model such that a priority of a word or word string that has appeared in the analyzed text data becomes higher in accordance to the different points of the analyzed text data and the virtual text data. | 6. The speech recognition dictionary compilation assisting system according to claim 1 , wherein said update processing section corrects the language model such that a priority of a word or word string that has appeared in the analyzed text data becomes higher in accordance to the different points of the analyzed text data and the virtual text data. 7. The speech recognition dictionary compilation assisting system according to claim 6 , wherein the update processing section controls an amount of changing of the priority in accordance to a frequency of appearance of the word or word string in the analyzed text data and the virtual text data. | 0.911212 |
1. A computer implemented method for providing information associated with a user of a social networking system, the method comprising: receiving a markup language document from an external website, wherein the markup language document includes markup language containing instructions for retrieving information associated with a user of a social networking system; processing the markup language contained in the received markup language document; responsive to processing the markup language document, sending a request to a social networking system for information associated with the user; receiving the requested information associated with the user from the social networking system in response to the request for the information; rendering a displayable web page based on the markup language, wherein the displayable web page includes information received from the social networking system server; and displaying the rendered web page on a display. | 1. A computer implemented method for providing information associated with a user of a social networking system, the method comprising: receiving a markup language document from an external website, wherein the markup language document includes markup language containing instructions for retrieving information associated with a user of a social networking system; processing the markup language contained in the received markup language document; responsive to processing the markup language document, sending a request to a social networking system for information associated with the user; receiving the requested information associated with the user from the social networking system in response to the request for the information; rendering a displayable web page based on the markup language, wherein the displayable web page includes information received from the social networking system server; and displaying the rendered web page on a display. 5. The computer implemented method of claim 1 , wherein the information associated with the user received from the social networking system is determined based on one or more privacy settings of the user. | 0.831967 |
31. A method for associating documents and queries, comprising: receiving a first query submitted by a user; retrieving by said first query at least one reference to a document; displaying said at least one reference to a document; tracing at least one action of said user in relation to said at least one reference to a document; and storing each of a) said first query as submitted by said user, and b) a relation between said first query and said retrieved at least one reference to a document based on said traced action; receiving a second query from any user; using at least in part said second query to identify at least one stored query; and displaying to said any user a) said at least one identified stored query and b) one or more references to documents having said relations with said at least one identified stored query; wherein a stored query comprises at least two query terms, and at least one query term comprises an expression containing more than one word. | 31. A method for associating documents and queries, comprising: receiving a first query submitted by a user; retrieving by said first query at least one reference to a document; displaying said at least one reference to a document; tracing at least one action of said user in relation to said at least one reference to a document; and storing each of a) said first query as submitted by said user, and b) a relation between said first query and said retrieved at least one reference to a document based on said traced action; receiving a second query from any user; using at least in part said second query to identify at least one stored query; and displaying to said any user a) said at least one identified stored query and b) one or more references to documents having said relations with said at least one identified stored query; wherein a stored query comprises at least two query terms, and at least one query term comprises an expression containing more than one word. 34. A method according to claim 31 , wherein said at least one of said displayed queries is selected from queries submitted by at least one user included in a group of users. | 0.633091 |
1. A computerized method for ranking a set of documents, the set of documents including links connecting the documents to each other, comprising the step of: constructing a graph in a memory, the graph including nodes and directed edges, each node representing one of the documents, and the directed edges representing the links connecting the documents; selecting a first subset of the documents from the set of documents to form a topic; assigning a relevance weight to each node, the relevance weight of each node based on the similarity of the document represented by the node to the topic; selecting a second subset of the documents from the set of documents to test for relevance to the topic; pruning a particular node from the second subset if the associated relevance weight of the particular node is less than a predetermined threshold to form a pruned graph representing a third subset of the documents; and ranking the subset of documents represented by the nodes of the pruned graph according to a connectivity based ranking scheme. | 1. A computerized method for ranking a set of documents, the set of documents including links connecting the documents to each other, comprising the step of: constructing a graph in a memory, the graph including nodes and directed edges, each node representing one of the documents, and the directed edges representing the links connecting the documents; selecting a first subset of the documents from the set of documents to form a topic; assigning a relevance weight to each node, the relevance weight of each node based on the similarity of the document represented by the node to the topic; selecting a second subset of the documents from the set of documents to test for relevance to the topic; pruning a particular node from the second subset if the associated relevance weight of the particular node is less than a predetermined threshold to form a pruned graph representing a third subset of the documents; and ranking the subset of documents represented by the nodes of the pruned graph according to a connectivity based ranking scheme. 9. The method of claim 1 including iteratively ranking and selecting the most highly ranked nodes for testing and pruning until a predetermined number of documents have been ranked. | 0.663934 |
1. A speech recognition apparatus for allowing setting by speech, comprising: an input unit configured to input a setting instruction by speech; a speech interpretation unit configured to recognize and interpret contents of the setting instruction by speech to generate first structured data containing candidates of the interpretation result; an instruction input detecting unit configured to detect a setting instruction input by a user; an instruction input interpretation unit configured to interpret contents of the setting instruction input to generate second structured data; and a selection unit configured to select one of the interpretation candidates contained in the first structured data on the basis of the second structured data, wherein each interpretation candidate contained in the first structured data contains information of a setting item name and a setting value, and the second structured data contains information of a setting item name; and further comprising: a setting window control unit configured to display a setting window corresponding to the setting instruction input when said instruction input detecting unit detects the setting instruction input, said setting window control unit inhibiting display of the setting window when said speech input unit inputs the setting instruction. | 1. A speech recognition apparatus for allowing setting by speech, comprising: an input unit configured to input a setting instruction by speech; a speech interpretation unit configured to recognize and interpret contents of the setting instruction by speech to generate first structured data containing candidates of the interpretation result; an instruction input detecting unit configured to detect a setting instruction input by a user; an instruction input interpretation unit configured to interpret contents of the setting instruction input to generate second structured data; and a selection unit configured to select one of the interpretation candidates contained in the first structured data on the basis of the second structured data, wherein each interpretation candidate contained in the first structured data contains information of a setting item name and a setting value, and the second structured data contains information of a setting item name; and further comprising: a setting window control unit configured to display a setting window corresponding to the setting instruction input when said instruction input detecting unit detects the setting instruction input, said setting window control unit inhibiting display of the setting window when said speech input unit inputs the setting instruction. 3. The apparatus according to claim 1 , wherein said selection unit selects, from the interpretation candidates contained in the first structured data, interpretation candidates containing a setting item name matching the setting item name contained in the second structured data. | 0.55819 |
6. The system of claim 1 , wherein the at least one processor is further configured to: track documents accessed by a user and documents entered by the user on a list indicating documents previously accessed by the user. | 6. The system of claim 1 , wherein the at least one processor is further configured to: track documents accessed by a user and documents entered by the user on a list indicating documents previously accessed by the user. 7. The system of claim 6 , wherein the user is a member of the network group with documents tracked for each member being associated with a different topic. | 0.958543 |
1. A computer-implemented method comprising: determining a plurality of potential countries of origin of a document by examining one or more factors associated with the document; determining a country of origin of the document by selecting a country from the plurality of potential countries as being the most likely country of origin for the document; processing the document, using the determined country of origin of the document, to determine a numeric or alphanumeric sequence of characters in the document to establish a call by: recalling rules relating to a format of said sequence associated with the determined country of origin of the document; and searching the document to identify a sequence in the document satisfying said format of the determined country of origin of the document; determining that said sequence is not associated with any country prefix; determining a country prefix associated with the selected country of origin; appending said sequence to include the country prefix; and returning the appended sequence for association with the document. | 1. A computer-implemented method comprising: determining a plurality of potential countries of origin of a document by examining one or more factors associated with the document; determining a country of origin of the document by selecting a country from the plurality of potential countries as being the most likely country of origin for the document; processing the document, using the determined country of origin of the document, to determine a numeric or alphanumeric sequence of characters in the document to establish a call by: recalling rules relating to a format of said sequence associated with the determined country of origin of the document; and searching the document to identify a sequence in the document satisfying said format of the determined country of origin of the document; determining that said sequence is not associated with any country prefix; determining a country prefix associated with the selected country of origin; appending said sequence to include the country prefix; and returning the appended sequence for association with the document. 6. The method of claim 1 , further comprising determining a rate associated with placing a phone call using said sequence. | 0.57909 |
8. A computer program product comprising a computer readable medium including one or more computer readable instructions stored thereon that, when executed by a computer, cause the computer to automatically generate a naturally reading narrative product summary including assertions about a specific product selected by a user, said computer readable instructions comprising: instructions for receiving the selection of the specific product from the user, the specific product associated with a plurality of attributes; instructions for determining at least one attribute of the plurality of attributes for comparison for the specific product selected by the user and selecting a comparable product based on the at least one attribute, the comparable product being the product having a high value rating for the at least one attribute; and instructions for generating the naturally reading narrative product summary including assertions about the specific product selected by the user and a recommendation of the comparable product. | 8. A computer program product comprising a computer readable medium including one or more computer readable instructions stored thereon that, when executed by a computer, cause the computer to automatically generate a naturally reading narrative product summary including assertions about a specific product selected by a user, said computer readable instructions comprising: instructions for receiving the selection of the specific product from the user, the specific product associated with a plurality of attributes; instructions for determining at least one attribute of the plurality of attributes for comparison for the specific product selected by the user and selecting a comparable product based on the at least one attribute, the comparable product being the product having a high value rating for the at least one attribute; and instructions for generating the naturally reading narrative product summary including assertions about the specific product selected by the user and a recommendation of the comparable product. 12. The computer program product of claim 8 , wherein said user selected product has a primary scenario that is the same as a primary scenario of said selected comparable product. | 0.712465 |
8. A method of layout decomposition, comprising: with a computer, receiving layout data for a layout design, the layout design corresponding to at least a portion of an integrated circuit, the layout data comprising mask assignment information for some layout features; deriving data of a coloring graph from the layout data, the coloring graph comprising vertices representing layout features in the layout design and edges between some pairs of vertices indicating the mask assignment information; performing a graph reduction process and a graph partitioning process on the coloring graph to generate a simplified coloring graph, wherein the graph reduction process comprises collapsing diamond graphs; decomposing the layout design based on the simplified coloring graph to generate decomposition information; and storing the decomposition information. | 8. A method of layout decomposition, comprising: with a computer, receiving layout data for a layout design, the layout design corresponding to at least a portion of an integrated circuit, the layout data comprising mask assignment information for some layout features; deriving data of a coloring graph from the layout data, the coloring graph comprising vertices representing layout features in the layout design and edges between some pairs of vertices indicating the mask assignment information; performing a graph reduction process and a graph partitioning process on the coloring graph to generate a simplified coloring graph, wherein the graph reduction process comprises collapsing diamond graphs; decomposing the layout design based on the simplified coloring graph to generate decomposition information; and storing the decomposition information. 10. The method recited in claim 8 , wherein the graph partitioning process comprises: separating subgraphs connected by one or two edges, separating biconnected components, or both. | 0.838366 |
1. A computer-implemented method comprising: providing a first rule engine implemented in a computer system, the first rule engine including, a manager component, a working memory component, a reasoner component, and a proxy component; the manager component inserting a first event into the working memory component, the first event dispatched from a first source system via a message broker; the manager component sending a request to the reasoner component to trigger a first rule appropriate to the first event; the reasoner component issuing a first call to the proxy component to implement a first interface with a first provider; the proxy component issuing an update operation to the first provider storing first context information relevant to the first event; and updating the working memory component with the first context information. | 1. A computer-implemented method comprising: providing a first rule engine implemented in a computer system, the first rule engine including, a manager component, a working memory component, a reasoner component, and a proxy component; the manager component inserting a first event into the working memory component, the first event dispatched from a first source system via a message broker; the manager component sending a request to the reasoner component to trigger a first rule appropriate to the first event; the reasoner component issuing a first call to the proxy component to implement a first interface with a first provider; the proxy component issuing an update operation to the first provider storing first context information relevant to the first event; and updating the working memory component with the first context information. 4. A method as in claim 1 wherein the first provider and rule engine together comprise a context-aware platform. | 0.702807 |
14. The method of claim 13 , further comprising sending the second web document to an output device. | 14. The method of claim 13 , further comprising sending the second web document to an output device. 15. The method of claim 14 , wherein the output device is a display device, the selected portion being displayed according to the virtual font indicators. | 0.947738 |
1. A method comprising: 1) identifying, at a client terminal, a Uniform Resource Identifier and at least three separate components of the Uniform Resource Identifier; 2) sending a query to a rating server over an IP network, the query including as a query string at least a first component of the identified Uniform Resource Identifier or a derivative of that first component; 3) receiving the query at the rating server and determining whether or not a rating exists for the query string and that a further query is required; 4) sending a response including a determined rating, or an indication that no rating exists, to the client terminal, the response including an indication that a further query is required; 5) in response to receiving the response at the client terminal, sending a further query to the rating server, the further query including as a query string said at least a first component and a further component of the identified Uniform Resource Identifier, or a derivative of the first and second components; 6) receiving the further query at the rating server and determining whether or not a rating exists for the query string; 7) in response to determining that a further query is required, repeating steps 4) to 6) through one or more further iterations, determining after each iteration whether or not a further query is required, until a query is received at the rating server for which no further query is required, adding for each iteration a further component of the Uniform Resource Identifier to the query string; and 8) in response to determining that no further query is required, sending a response including a determined rating, or an indication that no rating exists, to the client terminal; and receiving the response at the client terminal. | 1. A method comprising: 1) identifying, at a client terminal, a Uniform Resource Identifier and at least three separate components of the Uniform Resource Identifier; 2) sending a query to a rating server over an IP network, the query including as a query string at least a first component of the identified Uniform Resource Identifier or a derivative of that first component; 3) receiving the query at the rating server and determining whether or not a rating exists for the query string and that a further query is required; 4) sending a response including a determined rating, or an indication that no rating exists, to the client terminal, the response including an indication that a further query is required; 5) in response to receiving the response at the client terminal, sending a further query to the rating server, the further query including as a query string said at least a first component and a further component of the identified Uniform Resource Identifier, or a derivative of the first and second components; 6) receiving the further query at the rating server and determining whether or not a rating exists for the query string; 7) in response to determining that a further query is required, repeating steps 4) to 6) through one or more further iterations, determining after each iteration whether or not a further query is required, until a query is received at the rating server for which no further query is required, adding for each iteration a further component of the Uniform Resource Identifier to the query string; and 8) in response to determining that no further query is required, sending a response including a determined rating, or an indication that no rating exists, to the client terminal; and receiving the response at the client terminal. 9. A method according to claim 1 , wherein the client terminal comprises a web browser and the method further comprises displaying in a web browser window a determined rating. | 0.52534 |
20. The method of claim 1, and further comprising: accepting a query; parsing the query to identify concepts; applying the set of rules to the parsed query to extract CRCs; and extracting from the data organization a set of CRCs that match in at least one regard the CRCs extracted from the query. | 20. The method of claim 1, and further comprising: accepting a query; parsing the query to identify concepts; applying the set of rules to the parsed query to extract CRCs; and extracting from the data organization a set of CRCs that match in at least one regard the CRCs extracted from the query. 21. The method of claim 20 wherein said query is a "Who-What Where-When-Why-How" question. | 0.870059 |
1. A mobile communications device comprising a display device and one or more modules configured to: display search results on the display device of a first search performed in a first context that involves a single application based on a search query; reduce a search query input area on the display device in response to an input to scroll through the search results; during display of the search results of the first search and responsive to receiving an input via a pan gesture that indicates that a scope of the first search is to be expanded to another application, perform a second search that includes a second context that involves the other application, the second search being performed without manual reentry of the search query; and responsive to receiving the input via the pan gesture, cause the second search to expand from searching content in a local storage of the mobile communications device to searching content remote from the mobile communications device. | 1. A mobile communications device comprising a display device and one or more modules configured to: display search results on the display device of a first search performed in a first context that involves a single application based on a search query; reduce a search query input area on the display device in response to an input to scroll through the search results; during display of the search results of the first search and responsive to receiving an input via a pan gesture that indicates that a scope of the first search is to be expanded to another application, perform a second search that includes a second context that involves the other application, the second search being performed without manual reentry of the search query; and responsive to receiving the input via the pan gesture, cause the second search to expand from searching content in a local storage of the mobile communications device to searching content remote from the mobile communications device. 6. A mobile communications device as described in claim 1 , the one or more modules further configured to display search results of the second search on the display device. | 0.811093 |
14. One or more non-transitory storage media storing one or more sequences of instructions which, when executed by one or more computing devices, cause: generating a query plan for executing a query conforming to a database language; wherein generating a query plan includes: incorporating one or more operators into the query plan, wherein each of the one or more operators comprises a primitive operation; and generating query plan formation data that specifies one or more factors causing the incorporating of said one or more operators in the query plan; and based on one or more criteria, generating query plan display output that includes for each operator of said one or more operators: output identifying said each operator; and output identifying a factor of said one or more factors causing the incorporating of said each operator in the query plan. | 14. One or more non-transitory storage media storing one or more sequences of instructions which, when executed by one or more computing devices, cause: generating a query plan for executing a query conforming to a database language; wherein generating a query plan includes: incorporating one or more operators into the query plan, wherein each of the one or more operators comprises a primitive operation; and generating query plan formation data that specifies one or more factors causing the incorporating of said one or more operators in the query plan; and based on one or more criteria, generating query plan display output that includes for each operator of said one or more operators: output identifying said each operator; and output identifying a factor of said one or more factors causing the incorporating of said each operator in the query plan. 22. The one or more non-transitory storage media of claim 14 , wherein the query is performed on a collection of XML documents stored in a database system; wherein the query is expressed using XML constructs; wherein one or more elements of each document of the collection of XML documents is stored in a column of a relational database table; and the one or more sequences of instructions comprising instructions that, when executed by said one or more computing devices, cause re-writing the query using relational database constructs. | 0.56383 |
1. A method of retrieving documents from a database comprising the steps of: a. semantically editing a document to create at least one searchable compound word that contains information contextually relevant to the contents of the document; b. associating the at least one compound word with the document thereby to produce an enhanced document; c. storing the enhanced document in an enhanced document database; d. providing a semantic query editor that is operable to receive a query input by a searcher, and using said query editor being operable to convert the query into at least one query searchable compound words, that contains information contextually relevant to the query; e. providing a search means to search the enhanced document database, searching the enhanced document database to match the at least one query searchable compound word with compound words associated with a document and thereby locate specific documents in the database containing the at least one compound search word; and f. presenting the specific documents to the searcher, wherein there is provided a semantic rule engine that is operable to generate and store rules each of which includes at least one compound word derived from at least one of the enhanced documents, and the method comprises the further steps, prior to step (f), of semantic searching a selected enhanced document to generate at least one searchable compound word associated with the selected enhanced document, searching the rules to find at least one rule specifying the at least one searchable compound word and at least one additional compound word to generate a set of candidate rules as rules which are possibly relevant to the selected enhanced document, and processing the set of candidate rules and adding to the selected enhanced document additional compound words specified in at least one of the rules in the set of candidate rules where the respective rule is satisfied for the selected enhanced document. | 1. A method of retrieving documents from a database comprising the steps of: a. semantically editing a document to create at least one searchable compound word that contains information contextually relevant to the contents of the document; b. associating the at least one compound word with the document thereby to produce an enhanced document; c. storing the enhanced document in an enhanced document database; d. providing a semantic query editor that is operable to receive a query input by a searcher, and using said query editor being operable to convert the query into at least one query searchable compound words, that contains information contextually relevant to the query; e. providing a search means to search the enhanced document database, searching the enhanced document database to match the at least one query searchable compound word with compound words associated with a document and thereby locate specific documents in the database containing the at least one compound search word; and f. presenting the specific documents to the searcher, wherein there is provided a semantic rule engine that is operable to generate and store rules each of which includes at least one compound word derived from at least one of the enhanced documents, and the method comprises the further steps, prior to step (f), of semantic searching a selected enhanced document to generate at least one searchable compound word associated with the selected enhanced document, searching the rules to find at least one rule specifying the at least one searchable compound word and at least one additional compound word to generate a set of candidate rules as rules which are possibly relevant to the selected enhanced document, and processing the set of candidate rules and adding to the selected enhanced document additional compound words specified in at least one of the rules in the set of candidate rules where the respective rule is satisfied for the selected enhanced document. 2. The method according to claim 1 comprising another step of allowing a searcher to select at least one compound word from a plurality of compound words produced in step (d) and conducting step (e) in respect of the selected at least one compound word. | 0.638672 |
14. The method of claim 13 , wherein the current editing mode comprises a cursor mode, and wherein selecting the word comprises locating a word relative to a cursor position. | 14. The method of claim 13 , wherein the current editing mode comprises a cursor mode, and wherein selecting the word comprises locating a word relative to a cursor position. 17. The method of claim 14 , wherein the word relative to the cursor position comprises determining if a cursor that indicates the cursor position is placed on a word having alternates associated therewith, and wherein determining if the cursor is placed on a word having alternates associated therewith comprises moving a pointer to the beginning of the word. | 0.905793 |
1. A computer-implemented method comprising: receiving, at a computer system, a user request to access an electronic document collection that integrates a plurality of electronic sub-documents that are each of one of a plurality of defined document types; retrieving information that is associated with the document collection and identifies a first sub-document of a first type of the plurality of sub-documents using a first non-address identifier that does not provide a storage location for the first sub-document; retrieving information that is associated with the document collection and identifies a second sub-document of a second type of the plurality of sub-documents using a second non-address identifier that does not provide a storage location for the second sub-document; identifying a first software application that is configured to provide access to the first sub-document; identifying a second software application that is configured to provide access to the second sub-document; initiating a connection with a server that causes execution of the identified first software application and that, using the first non-address identifier, provides access to the first sub document; initiating a connection with a server that causes execution of the identified second software application and that, using the second non-address identifier, provides access to the second sub-document; integrating access to the first sub-document into the document collection ; and integrating access to the second sub-document into the document collection; wherein at least a portion of data in the first sub-document is dynamically linked to the second sub-document using the second non-address identifier; wherein the first software application interprets the first sub-document, identifies the dynamic link and requests data from the second sub-document using the second non-address identifier; wherein the second software application receives a request for data from the second sub-document, interprets the second sub-document, and provides information relating to the requested data. | 1. A computer-implemented method comprising: receiving, at a computer system, a user request to access an electronic document collection that integrates a plurality of electronic sub-documents that are each of one of a plurality of defined document types; retrieving information that is associated with the document collection and identifies a first sub-document of a first type of the plurality of sub-documents using a first non-address identifier that does not provide a storage location for the first sub-document; retrieving information that is associated with the document collection and identifies a second sub-document of a second type of the plurality of sub-documents using a second non-address identifier that does not provide a storage location for the second sub-document; identifying a first software application that is configured to provide access to the first sub-document; identifying a second software application that is configured to provide access to the second sub-document; initiating a connection with a server that causes execution of the identified first software application and that, using the first non-address identifier, provides access to the first sub document; initiating a connection with a server that causes execution of the identified second software application and that, using the second non-address identifier, provides access to the second sub-document; integrating access to the first sub-document into the document collection ; and integrating access to the second sub-document into the document collection; wherein at least a portion of data in the first sub-document is dynamically linked to the second sub-document using the second non-address identifier; wherein the first software application interprets the first sub-document, identifies the dynamic link and requests data from the second sub-document using the second non-address identifier; wherein the second software application receives a request for data from the second sub-document, interprets the second sub-document, and provides information relating to the requested data. 16. The computer-implemented method of claim 1 , wherein the first software application is identified based upon an identification of an association between a first data type for the first sub-document and the first software application. | 0.581409 |
12. The computer-readable storage device of claim 11 , wherein facilitating the search of content that is accessible through the web-based forms using the rankings comprises searching one or more forms of interest, wherein the forms of interest are ranked in order according to a relevance of each web-based form to the query. | 12. The computer-readable storage device of claim 11 , wherein facilitating the search of content that is accessible through the web-based forms using the rankings comprises searching one or more forms of interest, wherein the forms of interest are ranked in order according to a relevance of each web-based form to the query. 14. The computer-readable storage device of claim 12 , wherein searching the one or more forms of interest comprises: presenting a user with a query-through link to a form of interest; and in response to user selection of the query-through link, automatically submitting a query corresponding to the query-through-link to the form of interest. | 0.89058 |
28. A system for generating information from a plurality of data items, the system comprising: a computing device; (a) a preprocessor executable in the computing device, the preprocessor being configured for: i. populating an aggregate data item with at least one of the plurality of data items; wherein each individual data item comprises original information including an attribute and a value, wherein the attribute of the individual data item is an identifier for the individual data item, wherein the aggregate data item is a form of derived attribute, wherein the derived attribute represents a transformation of a collection of individual data items into a single data item with a value, wherein said value of the derived attribute is an aggregate value comprising a map of attribute to value for each said individual data item within said collection of individual data items such that a derived attribute forms a single data item suitable for inferencing by a knowledge base, said single data item retaining the original information relating to each of the plurality of individual data items yet queried by the knowledge base as a whole to extract information regarding said individual data items; and ii. for constructing one or more other derived attributes from the plurality of data items; and (b) an information generator executable in the computing device, the information generator configured for generating the information using the derived attributes, wherein the information generator forms at least part of a decision support system, and wherein the information so generated falls into one or more of the following groups: i. textual information; ii. a machine instruction. | 28. A system for generating information from a plurality of data items, the system comprising: a computing device; (a) a preprocessor executable in the computing device, the preprocessor being configured for: i. populating an aggregate data item with at least one of the plurality of data items; wherein each individual data item comprises original information including an attribute and a value, wherein the attribute of the individual data item is an identifier for the individual data item, wherein the aggregate data item is a form of derived attribute, wherein the derived attribute represents a transformation of a collection of individual data items into a single data item with a value, wherein said value of the derived attribute is an aggregate value comprising a map of attribute to value for each said individual data item within said collection of individual data items such that a derived attribute forms a single data item suitable for inferencing by a knowledge base, said single data item retaining the original information relating to each of the plurality of individual data items yet queried by the knowledge base as a whole to extract information regarding said individual data items; and ii. for constructing one or more other derived attributes from the plurality of data items; and (b) an information generator executable in the computing device, the information generator configured for generating the information using the derived attributes, wherein the information generator forms at least part of a decision support system, and wherein the information so generated falls into one or more of the following groups: i. textual information; ii. a machine instruction. 32. A system defined by claim 28 , the system further comprising a receiver for receiving a plurality data items. | 0.587549 |
8. A computer program product for generating an operational rule associated with a building management system, the computer program product comprising: a non-transitory computer readable storage medium having program code embodied therewith, the program code executable by a computer to implement: identifying a first pattern associated with a series of operational observations corresponding to a property of the building management system, and identifying a second pattern associated with the series of operational observations; correlating a first contextual attribute with the first pattern; correlating a second contextual attribute with the second pattern, wherein the first pattern is based on a first resolution and the second pattern is based on a second resolution; and deriving the operational rule at least in part based on the first pattern and the first contextual attribute, and the second pattern and the second contextual attribute. | 8. A computer program product for generating an operational rule associated with a building management system, the computer program product comprising: a non-transitory computer readable storage medium having program code embodied therewith, the program code executable by a computer to implement: identifying a first pattern associated with a series of operational observations corresponding to a property of the building management system, and identifying a second pattern associated with the series of operational observations; correlating a first contextual attribute with the first pattern; correlating a second contextual attribute with the second pattern, wherein the first pattern is based on a first resolution and the second pattern is based on a second resolution; and deriving the operational rule at least in part based on the first pattern and the first contextual attribute, and the second pattern and the second contextual attribute. 10. The computer program product of claim 8 , wherein deriving the operational rule further comprises applying a constraint to the first pattern or to the first contextual attribute. | 0.789171 |
288. The graphical user interface of claim 283 , wherein the required term of experience, or an alternative required term of experience, is rounded up to a unit of time. | 288. The graphical user interface of claim 283 , wherein the required term of experience, or an alternative required term of experience, is rounded up to a unit of time. 294. The graphical user interface of claim 288 , wherein to satisfy the search string, the parsed resume associated with each said at least one matching resume includes the required skill or experience-related phrase for at least one of said at least one search phrase, and the term of experience for the required skill or experience-related phrase is greater than or equal to the required term of experience. | 0.889769 |
6. The computer-implemented method of claim 1 , wherein the executing occurs within an environment by executing each of the machine instructions as a model returned to the reinforcement learning agent, and wherein the reinforcement learning agent receives feedback from the environment each time the model of the machine instruction is executed such that the accuracy is learned from multiple executions of the translated machine instruction. | 6. The computer-implemented method of claim 1 , wherein the executing occurs within an environment by executing each of the machine instructions as a model returned to the reinforcement learning agent, and wherein the reinforcement learning agent receives feedback from the environment each time the model of the machine instruction is executed such that the accuracy is learned from multiple executions of the translated machine instruction. 8. The computer-implemented method of claim 6 , wherein the translating is made more robust by learning a background agent that: accumulates each model for a plurality of different software and computer software documentation pairs; adapts the accumulated set of models to a new software and computer software documentation pair; and incorporates the adapted models into a background model for the new software and computer software documentation pair. | 0.728583 |
1. An electronic message processing system arranged to receive electronic messages, the system comprising: means for storing a plurality of classification rules; at least one text analyzer; a respective rule engine associated with the at least one text analyzer and with the rule storage means, the at least one text analyzer and associated rule engine being co-operable to apply at least one classification rule to the content of a received electronic message and to generate at least one result based on the application of said at least one classification rule; a classification module co-operable with the at least one text analyzer and associated rule engine and arranged to classify the electronic message into at least one message category based on said at least one result, wherein the classification rules are arranged into a plurality of rule sets, said rule sets being associated with one another in accordance with a hierarchical structure, the classification module being arranged to cause the at least one text analyzer in association with the associated rule engine to apply at least one of said rule sets to the message content in accordance with said hierarchical structure wherein the at least one result generated by application of a rule set from said plurality of rule sets to the message content determines at least one other rule set from said plurality of rule sets next to be applied to said message content. | 1. An electronic message processing system arranged to receive electronic messages, the system comprising: means for storing a plurality of classification rules; at least one text analyzer; a respective rule engine associated with the at least one text analyzer and with the rule storage means, the at least one text analyzer and associated rule engine being co-operable to apply at least one classification rule to the content of a received electronic message and to generate at least one result based on the application of said at least one classification rule; a classification module co-operable with the at least one text analyzer and associated rule engine and arranged to classify the electronic message into at least one message category based on said at least one result, wherein the classification rules are arranged into a plurality of rule sets, said rule sets being associated with one another in accordance with a hierarchical structure, the classification module being arranged to cause the at least one text analyzer in association with the associated rule engine to apply at least one of said rule sets to the message content in accordance with said hierarchical structure wherein the at least one result generated by application of a rule set from said plurality of rule sets to the message content determines at least one other rule set from said plurality of rule sets next to be applied to said message content. 11. An electronic mail (e-mail) processing system comprising an electronic message processing system as claimed in claim 1 . | 0.599944 |
32. A non-transitory computer-readable medium containing computer-executable instructions that, when executed by a processor, cause the processor to perform a method for outputting a dataset based upon anomaly detection, the method comprising: receiving a training dataset having a plurality of n-grams that includes a first plurality of distinct training n-grams, wherein each of the first plurality of distinct training n-grams is a first size; computing a first plurality of appearance frequencies, wherein each of the first plurality of appearance frequencies corresponds to one of the first plurality of distinct training n-grams; receiving an input dataset including first input n-grams, wherein each of the first input n-grams is the first size; defining a first window in the input dataset; identifying first matching n-grams by determining whether the first input n-grams in the first window correspond to one of the first plurality of distinct training n-grams; computing a first anomaly detection score for the input dataset using the first matching n-grams and the first plurality of appearance frequencies, wherein the first anomaly detection score is indicative of the presence of anomalous n-grams in the input dataset; and outputting the input dataset based on the first anomaly detection score. | 32. A non-transitory computer-readable medium containing computer-executable instructions that, when executed by a processor, cause the processor to perform a method for outputting a dataset based upon anomaly detection, the method comprising: receiving a training dataset having a plurality of n-grams that includes a first plurality of distinct training n-grams, wherein each of the first plurality of distinct training n-grams is a first size; computing a first plurality of appearance frequencies, wherein each of the first plurality of appearance frequencies corresponds to one of the first plurality of distinct training n-grams; receiving an input dataset including first input n-grams, wherein each of the first input n-grams is the first size; defining a first window in the input dataset; identifying first matching n-grams by determining whether the first input n-grams in the first window correspond to one of the first plurality of distinct training n-grams; computing a first anomaly detection score for the input dataset using the first matching n-grams and the first plurality of appearance frequencies, wherein the first anomaly detection score is indicative of the presence of anomalous n-grams in the input dataset; and outputting the input dataset based on the first anomaly detection score. 37. The medium of claim 32 , wherein the first plurality of distinct training n-grams comprises grouped n-grams and the first matching n-grams comprise grouped n-grams. | 0.824533 |
6. A method comprising: under control of an electronic device configured with specific executable instructions and having a touch-sensitive display, in response to receiving a first indication that the touch-sensitive display has detected a first user input, selecting a first entry from multiple entries of supplemental content to output to the touch-sensitive display based at least in part on the first user input; and in response to receiving a second indication that the touch-sensitive display has detected a second user input having an amount of force greater than a predetermined threshold, selecting a second entry from the multiple entries of the supplemental content to output to the touch-sensitive display based at least in part on the amount of force of the second user input, the second entry received, over a network, from a reference work stored at a server. | 6. A method comprising: under control of an electronic device configured with specific executable instructions and having a touch-sensitive display, in response to receiving a first indication that the touch-sensitive display has detected a first user input, selecting a first entry from multiple entries of supplemental content to output to the touch-sensitive display based at least in part on the first user input; and in response to receiving a second indication that the touch-sensitive display has detected a second user input having an amount of force greater than a predetermined threshold, selecting a second entry from the multiple entries of the supplemental content to output to the touch-sensitive display based at least in part on the amount of force of the second user input, the second entry received, over a network, from a reference work stored at a server. 8. A method as recited in claim 6 , wherein: the first user input is received at a first location on the touch-sensitive display; the second user input is received at a second location on the touch-sensitive display; and the second user input is received coincident with the first user input. | 0.577873 |
7. A non-transitory computer-readable medium storing therein a program that causes the computer to execute a process, the process comprising: acquiring a web page description to be edited; detecting a description that refers to a library written in an interpretive language in the acquired web page description; and generating a description of a modified web page in which the web page description is modified by inserting, into the web page description before the web page description is read by a web browser, source code for indicating a trigger for interpretation to be executed upon completion of initialization of the library corresponding to the detected description and code for editing a description in the interpretive language using the library corresponding to the detected description. | 7. A non-transitory computer-readable medium storing therein a program that causes the computer to execute a process, the process comprising: acquiring a web page description to be edited; detecting a description that refers to a library written in an interpretive language in the acquired web page description; and generating a description of a modified web page in which the web page description is modified by inserting, into the web page description before the web page description is read by a web browser, source code for indicating a trigger for interpretation to be executed upon completion of initialization of the library corresponding to the detected description and code for editing a description in the interpretive language using the library corresponding to the detected description. 9. non-transitory computer-readable medium according to claim 7 , wherein the process comprising: when detecting the description that refers to the library written in the interpretive language, detecting each of a plurality of the descriptions that refers to a corresponding one of a plurality of the libraries written in the interpretive language, the descriptions being included in the web page description; and when generating the description of the modified web page, generating the description of the modified web page so as to start the code for editing after completion of initialization of each of the libraries corresponding to one of the detected descriptions. | 0.5 |
1. A computer-readable memory device containing stored computer-executable instructions that, when executed, perform a method for initiating a teaching animation for demonstrating a manual gesture, the method comprising: determining a current condition of a writing-pad tool running on the computing device, wherein determining includes recognizing whether content is provided within a content-entry area generated by the writing-pad tool; using the current condition of the writing pad tool to determine which actions are available for invocation and which actions are unavailable, wherein using the current condition comprises: (a) when content is provided within the content-entry area of the writing-pad tool, designating one or more editing actions as being active, while one or more managing actions are designated as being inactive; and (b) when content is absent from the content-entry area of the writing-pad tool, designating the one or more managing actions as being active, while the one or more editing actions are designated as being inactive, wherein the one or more editing actions differ in functionality from the one or more managing actions; enabling a first group of teaching animations to that are associated with the actions that are designated as being active; disabling a second group of the teaching animations that are associated with the actions designated as being inactive; receiving a user-initiated input in association with a writing-pad tool surfaced on a touchscreen interface of a computing device; based on the user-initiated input, launching one or more of the teaching animations that are enabled; and rendering at the touchscreen interface an indication of launching the one or more teaching animations. | 1. A computer-readable memory device containing stored computer-executable instructions that, when executed, perform a method for initiating a teaching animation for demonstrating a manual gesture, the method comprising: determining a current condition of a writing-pad tool running on the computing device, wherein determining includes recognizing whether content is provided within a content-entry area generated by the writing-pad tool; using the current condition of the writing pad tool to determine which actions are available for invocation and which actions are unavailable, wherein using the current condition comprises: (a) when content is provided within the content-entry area of the writing-pad tool, designating one or more editing actions as being active, while one or more managing actions are designated as being inactive; and (b) when content is absent from the content-entry area of the writing-pad tool, designating the one or more managing actions as being active, while the one or more editing actions are designated as being inactive, wherein the one or more editing actions differ in functionality from the one or more managing actions; enabling a first group of teaching animations to that are associated with the actions that are designated as being active; disabling a second group of the teaching animations that are associated with the actions designated as being inactive; receiving a user-initiated input in association with a writing-pad tool surfaced on a touchscreen interface of a computing device; based on the user-initiated input, launching one or more of the teaching animations that are enabled; and rendering at the touchscreen interface an indication of launching the one or more teaching animations. 2. The computer-readable memory device of claim 1 , the method further comprising: receiving at the touchscreen interface the manual gesture that emulates the rendered one or more teaching animations; and invoking an editing action of the one or more editing actions or a managing action of the one or more managing actions at the writing-pad tool based on which action is mapped to the received manual gesture. | 0.5 |
3. A method for displaying information about a relational database comprising the steps of: identifying each relation of a plurality of relations in the relational database; determining for each relation a respective number of a user selected data terms contained therein; determining for each relation a key structural characteristic which can be used to access that relation; sorting each relation of the plurality of relations according to key structural characteristics of the respective relation; visually displaying in an over view the plurality of relations categorized according to the key structural characteristic thereof; visually displaying in the over view for each relation of the plurality of relations a respective bar that is representative of the number of the user selected data item therein; coloring in the over view each display of each relation that has the same key structural characteristic with a common color that is different from the coloring of the relations of the other key structural characteristics; visually displaying in the over view a cursor that is operator controllable over the display area; and changing the coloring of a visual display of a relation with which the cursor is actively contacting to indicate a selection thereof for a display of further information in another view. | 3. A method for displaying information about a relational database comprising the steps of: identifying each relation of a plurality of relations in the relational database; determining for each relation a respective number of a user selected data terms contained therein; determining for each relation a key structural characteristic which can be used to access that relation; sorting each relation of the plurality of relations according to key structural characteristics of the respective relation; visually displaying in an over view the plurality of relations categorized according to the key structural characteristic thereof; visually displaying in the over view for each relation of the plurality of relations a respective bar that is representative of the number of the user selected data item therein; coloring in the over view each display of each relation that has the same key structural characteristic with a common color that is different from the coloring of the relations of the other key structural characteristics; visually displaying in the over view a cursor that is operator controllable over the display area; and changing the coloring of a visual display of a relation with which the cursor is actively contacting to indicate a selection thereof for a display of further information in another view. 8. The method as set forth in claim 3, further comprising the steps of: displaying an associations view showing the selected relation and attributes of the selected relation in a center portion of an active window; locating along a first side of the selected relation are one or more relations from which access to the selected relation can be provided; locating along a second side opposite the first side are one or more relations to which access from the selected relation can be provided; and locating along a top edge are one or more relations that can provide both access to and access from the selected relation. | 0.5 |
15. Software stored in one or more computer readable media and comprising instruction executable by a processing system, and upon such execution causing the processing system to perform operations comprising: receiving a plurality of keystrokes associated with a keyboard input device; identifying a plurality of characters based on the plurality of keystrokes and a current language associated with the keyboard input device; comparing the plurality of characters to a plurality of words from a current dictionary associated with the current language; determining whether the plurality of characters identifies a word in the current dictionary at least on part based on whether an edit distance between the plurality of characters and a word from the plurality of words in the current dictionary is above a threshold edit distance; if the plurality of characters does not identify a word in the current dictionary: identifying a plurality of alternative characters using an alternative mapping of the keyboard input device in one or more alternative languages; comparing the plurality of alternative characters to a plurality of alternative words from an alternative dictionary associated with the one or more alternative languages; identifying one or more candidate alternative words at least in part based on an edit distance between the plurality of alternative characters and the plurality of alternative words from an alternative dictionary associated with the one or more alternative language. | 15. Software stored in one or more computer readable media and comprising instruction executable by a processing system, and upon such execution causing the processing system to perform operations comprising: receiving a plurality of keystrokes associated with a keyboard input device; identifying a plurality of characters based on the plurality of keystrokes and a current language associated with the keyboard input device; comparing the plurality of characters to a plurality of words from a current dictionary associated with the current language; determining whether the plurality of characters identifies a word in the current dictionary at least on part based on whether an edit distance between the plurality of characters and a word from the plurality of words in the current dictionary is above a threshold edit distance; if the plurality of characters does not identify a word in the current dictionary: identifying a plurality of alternative characters using an alternative mapping of the keyboard input device in one or more alternative languages; comparing the plurality of alternative characters to a plurality of alternative words from an alternative dictionary associated with the one or more alternative languages; identifying one or more candidate alternative words at least in part based on an edit distance between the plurality of alternative characters and the plurality of alternative words from an alternative dictionary associated with the one or more alternative language. 16. The software of claim 15 , the instructions further operable to cause the processing system to perform a further operation comprising providing the one or more candidate alternative words to a user device. | 0.545977 |
1. A printer for printing data comprising: a. a memory; and b. at least one processor executing a plurality of programmatic instructions wherein, upon execution, said programmatic instructions: i. perform a first analysis of said data to identify a page description language; and ii. if no page description language is identified by said first analysis, perform a plurality of additional processing activities and wherein said plurality of additional processing activities is performed concurrent with a second analysis of said data to identify a page description language. | 1. A printer for printing data comprising: a. a memory; and b. at least one processor executing a plurality of programmatic instructions wherein, upon execution, said programmatic instructions: i. perform a first analysis of said data to identify a page description language; and ii. if no page description language is identified by said first analysis, perform a plurality of additional processing activities and wherein said plurality of additional processing activities is performed concurrent with a second analysis of said data to identify a page description language. 4. The printer of claim 1 wherein if the page description language is identified by said first analysis, said second analysis is not performed. | 0.732618 |
1. A process executing on a hardware device comprising a metasearch engine for metasearching on a distributed network activated by a request executed on a client device to request the metasearch engine to send a plurality of search queries comprising at least two keyword phrases to a plurality of server devices, each search query of the plurality of search queries comprising a keyword phrase of the at least two keyword phrases, each of the at least two keyword phrases comprising at least one keyword, comprising the steps of: (a) receiving, at the metasearch engine, the request from the client device for the metasearch engine to send the plurality of search queries comprising the at least two keyword phrases to the plurality of server devices; (b) sending, by the metasearch engine, the plurality of search queries comprising the at least two keyword phrases to the plurality of server devices; (c) receiving, at the metasearch engine, search results from the plurality of server devices in response to the plurality of search queries comprising the at least two keyword phrases sent to the plurality of server devices; (d) incorporating, by the metasearch engine, the received search results into at least two different order books corresponding to the at least two keyword phrases; (e) incorporating, by the metasearch engine, the at least two different order books of received search results into a response for communicating to the client device; (f) communicating, by the metasearch engine, the response from the metasearch engine to the client device. | 1. A process executing on a hardware device comprising a metasearch engine for metasearching on a distributed network activated by a request executed on a client device to request the metasearch engine to send a plurality of search queries comprising at least two keyword phrases to a plurality of server devices, each search query of the plurality of search queries comprising a keyword phrase of the at least two keyword phrases, each of the at least two keyword phrases comprising at least one keyword, comprising the steps of: (a) receiving, at the metasearch engine, the request from the client device for the metasearch engine to send the plurality of search queries comprising the at least two keyword phrases to the plurality of server devices; (b) sending, by the metasearch engine, the plurality of search queries comprising the at least two keyword phrases to the plurality of server devices; (c) receiving, at the metasearch engine, search results from the plurality of server devices in response to the plurality of search queries comprising the at least two keyword phrases sent to the plurality of server devices; (d) incorporating, by the metasearch engine, the received search results into at least two different order books corresponding to the at least two keyword phrases; (e) incorporating, by the metasearch engine, the at least two different order books of received search results into a response for communicating to the client device; (f) communicating, by the metasearch engine, the response from the metasearch engine to the client device. 5. The process executing on the hardware device of claim 1 , wherein: each of the at least two different order books comprises bid data and offer data. | 0.984547 |
10. A non-transitory computer storage media encoded with one or more computer programs, the one or more computer programs comprising instructions that when executed by data processing apparatus cause the data processing apparatus to perform operations comprising: for stored data corresponding to image, supplementing the stored data with metadata that identifies one or more objects in the image; causing the image to be rendered; recognizing one or more objects in the rendered image based on the metadata; enabling a portion of the rendered image corresponding to a first recognized object to be user-interactive; detecting a user interaction with the portion of the rendered image corresponding to the first recognized object; and in response to detecting the user interaction, performing an action using the metadata characterizing the first recognized object. | 10. A non-transitory computer storage media encoded with one or more computer programs, the one or more computer programs comprising instructions that when executed by data processing apparatus cause the data processing apparatus to perform operations comprising: for stored data corresponding to image, supplementing the stored data with metadata that identifies one or more objects in the image; causing the image to be rendered; recognizing one or more objects in the rendered image based on the metadata; enabling a portion of the rendered image corresponding to a first recognized object to be user-interactive; detecting a user interaction with the portion of the rendered image corresponding to the first recognized object; and in response to detecting the user interaction, performing an action using the metadata characterizing the first recognized object. 11. The computer storage media of claim 10 , wherein the one or more objects include one or more faces of the images. | 0.668192 |
1. A method for generating a submittal register via a processing device, the submittal register for use in interactive construction planning and specification management, the method comprising: receiving a first file containing a plurality of construction specification documents for a construction project in a first format; converting the first file to a first file converted format; removing conversion errors from the first file in the first file converted format; applying an algorithm to the first file in the first file converted format to produce a second file; running a quality control check of the second file; applying a processing program to the second file; generating the submittal register for the plurality of construction specification documents based on the applied processing program to the second file, the generated submittal register including a plurality of elements of information for the construction project, the plurality of elements of information including project specification data and at least one drawing image for the construction project; identifying at least one hyperlink for each of the plurality of elements of information; automatically associating the at least one hyperlink with each of the plurality of elements of information and with at least one other related one of the plurality of elements of information; in response to receipt of a selection of any of the at least one hyperlink, providing at least one option to selectively access each of the at least one other related one of the plurality of elements of information; in response to the access selection, presenting the selected at least one other related one of the plurality of elements of information, wherein the applying a processing program to the second file includes applying an algorithm to identify one or more selected from a group consisting of summary text in the second file, one or more submittal categories for submittal information in the second file, and a submittal description in the second file; and associating at least two selected from a group consisting of the submittal categories, the summary text, and the submittal description with one other, wherein at least one of the associated submittal categories, the summary text, or the submittal description are searchable. | 1. A method for generating a submittal register via a processing device, the submittal register for use in interactive construction planning and specification management, the method comprising: receiving a first file containing a plurality of construction specification documents for a construction project in a first format; converting the first file to a first file converted format; removing conversion errors from the first file in the first file converted format; applying an algorithm to the first file in the first file converted format to produce a second file; running a quality control check of the second file; applying a processing program to the second file; generating the submittal register for the plurality of construction specification documents based on the applied processing program to the second file, the generated submittal register including a plurality of elements of information for the construction project, the plurality of elements of information including project specification data and at least one drawing image for the construction project; identifying at least one hyperlink for each of the plurality of elements of information; automatically associating the at least one hyperlink with each of the plurality of elements of information and with at least one other related one of the plurality of elements of information; in response to receipt of a selection of any of the at least one hyperlink, providing at least one option to selectively access each of the at least one other related one of the plurality of elements of information; in response to the access selection, presenting the selected at least one other related one of the plurality of elements of information, wherein the applying a processing program to the second file includes applying an algorithm to identify one or more selected from a group consisting of summary text in the second file, one or more submittal categories for submittal information in the second file, and a submittal description in the second file; and associating at least two selected from a group consisting of the submittal categories, the summary text, and the submittal description with one other, wherein at least one of the associated submittal categories, the summary text, or the submittal description are searchable. 9. The method of claim 1 , further comprising: receiving a revised version of the first file in the first file format; converting the revised version of the first file to a first revised file converted format; removing conversion errors from the first revised file in the first file converted format; applying an algorithm to the first revised file in the first file converted format to produce a third file; running a quality control check of the third file; applying a processing program to the third file; comparing the third file to the second file to produce a fourth file; and generating a revised version of the submittal register based on the applied processing program to the fourth file. | 0.538338 |
1. A method, implemented on a machine having at least one processor, storage, and a communication platform connected to a network, for providing query term suggestions, the method comprising: receiving, in a first search session, a prefix of a query term from a user; obtaining two or more query terms that have been previously entered by the user within the first search session; obtaining one or more candidate query terms based on the prefix; determining, for each of the candidate query terms, a similarity between the candidate query term and the two or more query terms by: obtaining, for the candidate query term, a first feature vector having one or more features associated with the candidate query term; obtaining, for each of the two or more query terms, a second feature vector having one or more features associated with the query term; determining a similarity between the first feature vector and each second feature vector; and aggregating the similarities between the candidate query term and the two or more query terms to generate an aggregated similarity indicative of a degree of similarity between the candidate query term and the two or more query terms; ranking the one or more candidate query terms based, at least partially, on the aggregated similarity associated with each candidate query term; and providing the one or more candidate query terms as query suggestions to the user based on the rankings of the candidate query terms. | 1. A method, implemented on a machine having at least one processor, storage, and a communication platform connected to a network, for providing query term suggestions, the method comprising: receiving, in a first search session, a prefix of a query term from a user; obtaining two or more query terms that have been previously entered by the user within the first search session; obtaining one or more candidate query terms based on the prefix; determining, for each of the candidate query terms, a similarity between the candidate query term and the two or more query terms by: obtaining, for the candidate query term, a first feature vector having one or more features associated with the candidate query term; obtaining, for each of the two or more query terms, a second feature vector having one or more features associated with the query term; determining a similarity between the first feature vector and each second feature vector; and aggregating the similarities between the candidate query term and the two or more query terms to generate an aggregated similarity indicative of a degree of similarity between the candidate query term and the two or more query terms; ranking the one or more candidate query terms based, at least partially, on the aggregated similarity associated with each candidate query term; and providing the one or more candidate query terms as query suggestions to the user based on the rankings of the candidate query terms. 3. The method of claim 1 , wherein the first search session corresponds to a period of time determined based on a predetermined number of query terms entered by the user before the user enters the prefix of the query term. | 0.534739 |
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