patent_num
int64 3.93M
10.2M
| claim_num1
int64 1
519
| claim_num2
int64 2
520
| sentence1
stringlengths 40
15.9k
| sentence2
stringlengths 88
20k
| label
float64 0.5
0.99
|
|---|---|---|---|---|---|
9,454,562 | 17 | 20 |
17. The device of claim 16 further comprising generating aggregate information, and the at least one first data source comprises the aggregate information.
|
17. The device of claim 16 further comprising generating aggregate information, and the at least one first data source comprises the aggregate information. 20. The device of claim 17 wherein the aggregate information includes a plurality of articles, and each article of the plurality of articles receives a factual accuracy rating based on fact checking, further wherein an article of the plurality of articles with a lowest factual accuracy rating is summarized with a base number of sentences, and articles with higher factual accuracy ratings are summarized with the base number of sentences plus additional sentences such that the article with the highest factual accuracy rating is summarized with the base number of sentences plus a maximum number of additional sentences.
| 0.685354 |
9,766,786 | 11 | 15 |
11. A method comprising: presenting a visual experience capable of telling a story via a display device associated with a mobile device, the story including an authored series of events and visual context, the authored series of events representing a storyline of the story, the visual context providing context for the storyline, the visual experience including story views each having at least a portion of a respective event of the authored series of events and context views each including at least a portion of the visual context for the storyline; determining a first display view based on a first orientation of the display device; displaying, via the display device, a first portion of the visual experience based on the first display view; receiving a first selection of a first display view representing a first view into the visual experience for display via the display of the mobile device; determining that the first display view corresponds to a context view based on an amount of a respective story view visually contained within the first view; responsive to the determining that the first display view corresponds to the context view: presenting the visual context via the display device; and pausing progression through the authored series of events at a respective event; determining a second display view based on a second orientation of the display device that is different than the first orientation; displaying, via the display device, a second portion of the visual experience based on the second display view, the second portion different than the first portion; determining that the second display view corresponds to a story view based on an amount of the respective event visually contained within the second display view; and responsive to the second display view corresponding to the story view, presenting the respective event at which the progression through the authored series of events was paused.
|
11. A method comprising: presenting a visual experience capable of telling a story via a display device associated with a mobile device, the story including an authored series of events and visual context, the authored series of events representing a storyline of the story, the visual context providing context for the storyline, the visual experience including story views each having at least a portion of a respective event of the authored series of events and context views each including at least a portion of the visual context for the storyline; determining a first display view based on a first orientation of the display device; displaying, via the display device, a first portion of the visual experience based on the first display view; receiving a first selection of a first display view representing a first view into the visual experience for display via the display of the mobile device; determining that the first display view corresponds to a context view based on an amount of a respective story view visually contained within the first view; responsive to the determining that the first display view corresponds to the context view: presenting the visual context via the display device; and pausing progression through the authored series of events at a respective event; determining a second display view based on a second orientation of the display device that is different than the first orientation; displaying, via the display device, a second portion of the visual experience based on the second display view, the second portion different than the first portion; determining that the second display view corresponds to a story view based on an amount of the respective event visually contained within the second display view; and responsive to the second display view corresponding to the story view, presenting the respective event at which the progression through the authored series of events was paused. 15. The method as recited in claim 11 , wherein: the visual experience includes a set of images including a first subset of images presenting the storyline and a second subset of images presenting the visual context for the storyline; and a display of each said subset of images is solely dependent on user selections of display views.
| 0.594431 |
9,817,908 | 1 | 7 |
1. A system configured for news event organization, the system comprising: a database comprising past news events; hardware processing circuitry coupled to the database, the hardware processing circuitry to: encode a news event based on named entities, actors, and actions mentioned in the news event; calculate a locality sensitive hash (LSH) key on the news event encoding; compare the calculated LSH key to a plurality of LSH keys of respective stories, wherein each story of the respective stories comprises one or more associated news events that include LSH keys that are within a specified distance from each other; remove another news event corresponding to a same LSH key as the news event; associate the news event with a story of the respective stories that includes an LSH key that has a smallest distance from the LSH key of the received news event if the smallest distance is less than the specified distance; and a user interface to provide a view of the storyline of the associated story the storyline including one or more past news events and the news event.
|
1. A system configured for news event organization, the system comprising: a database comprising past news events; hardware processing circuitry coupled to the database, the hardware processing circuitry to: encode a news event based on named entities, actors, and actions mentioned in the news event; calculate a locality sensitive hash (LSH) key on the news event encoding; compare the calculated LSH key to a plurality of LSH keys of respective stories, wherein each story of the respective stories comprises one or more associated news events that include LSH keys that are within a specified distance from each other; remove another news event corresponding to a same LSH key as the news event; associate the news event with a story of the respective stories that includes an LSH key that has a smallest distance from the LSH key of the received news event if the smallest distance is less than the specified distance; and a user interface to provide a view of the storyline of the associated story the storyline including one or more past news events and the news event. 7. The system of claim 1 , wherein the processing circuitry is to calculate a distance between an LSH key of the news event and an LSH key of the story includes the processing circuitry to determine a Hamming distance between the LSH keys.
| 0.5 |
8,797,266 | 1 | 13 |
1. An apparatus comprising: an input device having input elements; and a processor programmed to receive an input code having component blocks that correspond to activation groupings of input elements of the input device, translate the input code to first text, check the first text against a dictionary, and when the first text does not match an entry in the dictionary, process the component blocks to generate one or more permutations that have different activation groupings of the input elements of the input device, translate the input code to second text, which is different than the first text, in accordance with the one or more permutations, and check the second text against the dictionary to determine if the second text is usable to replace the first text, wherein the processor is programmed to replace a component block having two digits with two new component blocks each having one digit, when the first text does not match an entry in the dictionary.
|
1. An apparatus comprising: an input device having input elements; and a processor programmed to receive an input code having component blocks that correspond to activation groupings of input elements of the input device, translate the input code to first text, check the first text against a dictionary, and when the first text does not match an entry in the dictionary, process the component blocks to generate one or more permutations that have different activation groupings of the input elements of the input device, translate the input code to second text, which is different than the first text, in accordance with the one or more permutations, and check the second text against the dictionary to determine if the second text is usable to replace the first text, wherein the processor is programmed to replace a component block having two digits with two new component blocks each having one digit, when the first text does not match an entry in the dictionary. 13. The apparatus of claim 1 , wherein the processor is programmed to predict third text based on words in the dictionary, wherein the third text includes the second text.
| 0.614865 |
7,533,362 | 13 | 14 |
13. The computer system of claim 12 , wherein the high-level language program is used by both software simulation design flows and by hardware generation flows.
|
13. The computer system of claim 12 , wherein the high-level language program is used by both software simulation design flows and by hardware generation flows. 14. The computer system of claim 13 , wherein the code sequence is a subroutine.
| 0.5 |
10,162,887 | 8 | 11 |
8. A method comprising: by a computing system comprising a hardware computer processor and non-transitory storage medium storing software instructions, receive a user input indicative of an entity and a search query; identify a statistical model associated with the entity, wherein the statistical model is determined based on a first plurality of documents associated with the entity, the statistical model indicative at least of frequencies of one or more words within the first plurality of documents; identify a second plurality of documents, at least partially different than the first plurality of documents, corresponding to the search query and the indicated entity; identify, for each of the second plurality of documents, one or more segments; apply the identified statistical model to each of the identified segments to determine, for each of the second plurality of documents, a statistical significance of segments identified in the documents, the statistical significance indicative of frequencies of the one or more words in the segment compared to the frequencies of the one or more words indicated in the statistical model; and provide for display at least a representative segment having a highest statistical significance and a link to the document containing the representative segment.
|
8. A method comprising: by a computing system comprising a hardware computer processor and non-transitory storage medium storing software instructions, receive a user input indicative of an entity and a search query; identify a statistical model associated with the entity, wherein the statistical model is determined based on a first plurality of documents associated with the entity, the statistical model indicative at least of frequencies of one or more words within the first plurality of documents; identify a second plurality of documents, at least partially different than the first plurality of documents, corresponding to the search query and the indicated entity; identify, for each of the second plurality of documents, one or more segments; apply the identified statistical model to each of the identified segments to determine, for each of the second plurality of documents, a statistical significance of segments identified in the documents, the statistical significance indicative of frequencies of the one or more words in the segment compared to the frequencies of the one or more words indicated in the statistical model; and provide for display at least a representative segment having a highest statistical significance and a link to the document containing the representative segment. 11. The method of claim 8 , further comprising: after providing the representative segment for display, receiving a selection input associated with the representative segment; and responsive to the selection input, providing for display the contents of one or more of the second plurality of documents.
| 0.5 |
8,010,341 | 1 | 2 |
1. A system for processing information, comprising: a processor; a module that is configured to apply a set of labels to a set of components using a probabilistic model; a module that is configured to incorporate prototypical information in said probabilistic model by augmenting said probabilistic model with a conditional probability of the prototypical information; and a module that is configured to determine whether said prototypical information is to be used in said probabilistic model based on a determination of at least one component in said set of components corresponding to a component in said prototypical information.
|
1. A system for processing information, comprising: a processor; a module that is configured to apply a set of labels to a set of components using a probabilistic model; a module that is configured to incorporate prototypical information in said probabilistic model by augmenting said probabilistic model with a conditional probability of the prototypical information; and a module that is configured to determine whether said prototypical information is to be used in said probabilistic model based on a determination of at least one component in said set of components corresponding to a component in said prototypical information. 2. The system according to claim 1 , wherein said set of components are words in a natural language.
| 0.717514 |
8,756,276 | 10 | 11 |
10. The computer program product of claim 7 , wherein identifying the higher frequency of user interactions with the first set of notifications comprises: identifying patterns in the user interactions with the first set of notifications, the patterns describing the characteristics of the interactions of the user with the first set of notifications.
|
10. The computer program product of claim 7 , wherein identifying the higher frequency of user interactions with the first set of notifications comprises: identifying patterns in the user interactions with the first set of notifications, the patterns describing the characteristics of the interactions of the user with the first set of notifications. 11. The computer program product of claim 10 , wherein identifying the patterns in the user interactions comprises: identifying a type of content object from the first set of notifications most frequently interacted with by the user; and providing the second set of notifications of third-party content objects of the identified type of content object to the client device.
| 0.5 |
7,715,635 | 50 | 51 |
50. A computer-readable storage medium bearing computer-executable instructions which, when executed by a computer, configure the computer to: obtain at least one page image, each page image comprising reflowable textual content; identify paragraphs of reflowable textual content in the obtained at least one page image; for each identified paragraph, determine a plurality of metrics regarding the identified paragraph; and perform a clustering analysis of the identified paragraphs based on at least one of the plurality of metrics of each paragraph, thereby resulting in at least one cluster of similarly formed paragraphs found on the at least one page image.
|
50. A computer-readable storage medium bearing computer-executable instructions which, when executed by a computer, configure the computer to: obtain at least one page image, each page image comprising reflowable textual content; identify paragraphs of reflowable textual content in the obtained at least one page image; for each identified paragraph, determine a plurality of metrics regarding the identified paragraph; and perform a clustering analysis of the identified paragraphs based on at least one of the plurality of metrics of each paragraph, thereby resulting in at least one cluster of similarly formed paragraphs found on the at least one page image. 51. The computer-readable storage medium of claim 50 , wherein performing the clustering analysis comprises performing a quality threshold (QT) clustering analysis to generate at least one cluster of similarly formed paragraphs found on the at least one page image.
| 0.646667 |
9,507,932 | 1 | 11 |
1. An apparatus, comprising: a processor and a memory communicatively connected to the processor, the processor configured to: receive topology information describing a set of topology elements of a topology; determine, based on a set of topology abstraction policies configured to control abstraction of the topology information describing the set of topology elements of the topology, topology element abstraction information, wherein, to determine the topology element abstraction information, the processor is configured to assign respective classifications to the topology elements in the set of topology elements based on the set of topology abstraction policies; determine, based on the topology element abstraction information, abstracted topology information configured to provide an abstract representation of the topology, wherein, to determine the abstracted topology information, the processor is configured to: determine, for each of the topology elements of the set of topology elements based on the respective classifications of the topology elements, whether to select the topology element for inclusion in the abstracted topology information; and determine based on the respective classifications of the topology elements selected for inclusion in the abstracted topology information, topology element clustering information indicative of clustering of the topology elements selected for inclusion in the abstracted topology information; and propagate the abstracted topology information toward a topology exposure element.
|
1. An apparatus, comprising: a processor and a memory communicatively connected to the processor, the processor configured to: receive topology information describing a set of topology elements of a topology; determine, based on a set of topology abstraction policies configured to control abstraction of the topology information describing the set of topology elements of the topology, topology element abstraction information, wherein, to determine the topology element abstraction information, the processor is configured to assign respective classifications to the topology elements in the set of topology elements based on the set of topology abstraction policies; determine, based on the topology element abstraction information, abstracted topology information configured to provide an abstract representation of the topology, wherein, to determine the abstracted topology information, the processor is configured to: determine, for each of the topology elements of the set of topology elements based on the respective classifications of the topology elements, whether to select the topology element for inclusion in the abstracted topology information; and determine based on the respective classifications of the topology elements selected for inclusion in the abstracted topology information, topology element clustering information indicative of clustering of the topology elements selected for inclusion in the abstracted topology information; and propagate the abstracted topology information toward a topology exposure element. 11. The apparatus of claim 1 , wherein the processor is configured to: perform a first type of clustering for ones of the topology elements selected for inclusion in the abstracted topology information that have a first classification associated therewith; and perform a second type of clustering for ones of the topology elements selected for inclusion in the abstracted topology information that have a second classification associated therewith.
| 0.648903 |
8,001,459 | 6 | 8 |
6. A computer-implemented method comprising: determining, based on one or more functionalities of an editable electronic document requested by a limited-capability computing device from a remote resource and based on viewing capabilities of the limited-capability computing device, that the limited-capability computing device is incapable, without external assistance, of rendering at least some view information of the editable electronic document; building, responsive to the determining and using one or more computing devices, first renderable view information that is associated with the editable electronic document and usable by the limited-capability computing device to present an item of the editable electronic document and to present indicia associated with a nested item for that item, and enabling selection of the indicia; building, responsive to receiving an indication of a selection of one of the indicia and using one or more of the one or more computing devices, a second renderable view information usable by the limited-capability computing device to present the nested item associated with the indicia effective to permit a user to navigate to the nested item, wherein one or more of the first renderable view information or the second renderable view information are configured to be utilized by the limited-capability computing device to edit an instance of the editable electronic document and to execute one or more business logic operations on the instance of the editable electronic document, the instance of the editable electronic document being stored at the remote resource, wherein the remote resource is remote from the limited-capability computing device and not on the limited-capability computing device; and editing the instance of the editable electronic document responsive to input received from the limited-capability computing device, wherein the editing comprises: receiving a postback that comprises a name-value pair; translating the postback into an event log; and editing the instance of the editable electronic document based on the event log.
|
6. A computer-implemented method comprising: determining, based on one or more functionalities of an editable electronic document requested by a limited-capability computing device from a remote resource and based on viewing capabilities of the limited-capability computing device, that the limited-capability computing device is incapable, without external assistance, of rendering at least some view information of the editable electronic document; building, responsive to the determining and using one or more computing devices, first renderable view information that is associated with the editable electronic document and usable by the limited-capability computing device to present an item of the editable electronic document and to present indicia associated with a nested item for that item, and enabling selection of the indicia; building, responsive to receiving an indication of a selection of one of the indicia and using one or more of the one or more computing devices, a second renderable view information usable by the limited-capability computing device to present the nested item associated with the indicia effective to permit a user to navigate to the nested item, wherein one or more of the first renderable view information or the second renderable view information are configured to be utilized by the limited-capability computing device to edit an instance of the editable electronic document and to execute one or more business logic operations on the instance of the editable electronic document, the instance of the editable electronic document being stored at the remote resource, wherein the remote resource is remote from the limited-capability computing device and not on the limited-capability computing device; and editing the instance of the editable electronic document responsive to input received from the limited-capability computing device, wherein the editing comprises: receiving a postback that comprises a name-value pair; translating the postback into an event log; and editing the instance of the editable electronic document based on the event log. 8. The method of claim 6 , further comprising receiving hierarchical view information associated with the editable electronic document and having the item and the nested item and wherein the act of building builds the first renderable view information based on the hierarchical view information and renderable pieces of view information.
| 0.635281 |
8,725,493 | 4 | 5 |
4. The method of claim 3 , wherein the main action, occurrence or state of being for the language flow comprises the main verb.
|
4. The method of claim 3 , wherein the main action, occurrence or state of being for the language flow comprises the main verb. 5. The method of claim 4 , wherein the step of determining the basic semantic grouping further comprises selecting the main verb from among a plurality of possible main verbs.
| 0.5 |
7,889,073 | 13 | 25 |
13. A method for using information in the form of passively collected emotional responses to a media presentation that is made to one or more individuals, comprising the steps of: perceivably exhibiting a media presentation to at least one individual having a profile; passively identifying detectable, emotional, visceral responses of said at least one individual to at least a portion of said media presentation; and identifying any of the type of media presentation that was associated with said responses, the time at which said responses occurred during said media presentation, the location of said media presentation that caused said responses, and a value of said responses for either profiling for or for collecting group responses, said identified value being used for the steps of: associating metadata with individual and group profiles; producing a correlation that reflects a relationship between said at least one individual's emotional responses and at least one portion of said media presentation which contained stimuli that elicited said emotional responses; identifying at least one group having a profile that is similar to the profile of said at least one individual; wherein at least one or more of said portions of said media presentation is perceivably exhibited to said group; wherein the at least one or more of said portions of said media that are perceivably exhibited to said group are selected based upon said correlation between said at least one individual's emotional responses and at least one portion of said media presentation that contained stimuli that elicited said emotional response; and wherein the at least one or more of said portions of said media that are perceivably exhibited to said group are presented to said group with some assurance of a positive reception by said group.
|
13. A method for using information in the form of passively collected emotional responses to a media presentation that is made to one or more individuals, comprising the steps of: perceivably exhibiting a media presentation to at least one individual having a profile; passively identifying detectable, emotional, visceral responses of said at least one individual to at least a portion of said media presentation; and identifying any of the type of media presentation that was associated with said responses, the time at which said responses occurred during said media presentation, the location of said media presentation that caused said responses, and a value of said responses for either profiling for or for collecting group responses, said identified value being used for the steps of: associating metadata with individual and group profiles; producing a correlation that reflects a relationship between said at least one individual's emotional responses and at least one portion of said media presentation which contained stimuli that elicited said emotional responses; identifying at least one group having a profile that is similar to the profile of said at least one individual; wherein at least one or more of said portions of said media presentation is perceivably exhibited to said group; wherein the at least one or more of said portions of said media that are perceivably exhibited to said group are selected based upon said correlation between said at least one individual's emotional responses and at least one portion of said media presentation that contained stimuli that elicited said emotional response; and wherein the at least one or more of said portions of said media that are perceivably exhibited to said group are presented to said group with some assurance of a positive reception by said group. 25. The method of claim 13 , said step of passively identifying detectable, emotional, visceral responses of said at least one individual to at least a portion of said media presentation further comprising the step of: capturing any of gestures, profiles, movement, and shapes with a 3D camera for any of recognizing an individual, tracking emotional responses of more than one person at a time, tracking of gestures or other body movement as indications of emotional response, linking of gestures and/or body movement to other indications of emotional response, and identifying an emotional response of two or more individuals.
| 0.5 |
7,477,909 | 14 | 15 |
14. The method of claim 12 further comprising the step of prompting for said requisite information by audio prompt.
|
14. The method of claim 12 further comprising the step of prompting for said requisite information by audio prompt. 15. The method of claim 14 wherein said audio prompt is pre-recorded and stored on said mobile device.
| 0.5 |
7,729,916 | 1 | 13 |
1. A method for providing conversational computing between a user and at least one application, the method comprising the steps of: engaging in dialog with the user; processing the dialog, by a processor executing the at least one application, to one of complete a query, disambiguate a query, summarize a query, correct a query, correct a result of an executed task, communicate the result of such execution, determine a target application of an input/output event, and a combination thereof based on one of past dialog history, context, user preferences, meta information, and a combination thereof; and presenting a unified and coordinated user interface across the plurality of applications; wherein presenting a unified and coordinated user interface across a plurality of applications comprises the steps of: registering, by each application, information comprising application state, application modes, arguments, context, modalities, engine resources, and a combination thereof; and managing the dialog across the plurality of applications based on their registered information.
|
1. A method for providing conversational computing between a user and at least one application, the method comprising the steps of: engaging in dialog with the user; processing the dialog, by a processor executing the at least one application, to one of complete a query, disambiguate a query, summarize a query, correct a query, correct a result of an executed task, communicate the result of such execution, determine a target application of an input/output event, and a combination thereof based on one of past dialog history, context, user preferences, meta information, and a combination thereof; and presenting a unified and coordinated user interface across the plurality of applications; wherein presenting a unified and coordinated user interface across a plurality of applications comprises the steps of: registering, by each application, information comprising application state, application modes, arguments, context, modalities, engine resources, and a combination thereof; and managing the dialog across the plurality of applications based on their registered information. 13. The method of claim 1 , further comprising the steps of arbitrating a response to an input query from each application to determine the target application.
| 0.857271 |
7,551,780 | 11 | 12 |
11. A system for using a printed document describing goods or services, comprising: a memory for storing computer instructions; a storage device storing a plurality of mixed media reality documents; and a processor for executing the computer instructions, wherein the memory includes: a document fingerprint matching module for receiving a captured image of at least a portion of the printed document, the portion including information uniquely identifying the printed document and uniquely identifying a user of the printed document, extracting features from the captured image including the information, and comparing the extracted features with the plurality of mixed media reality documents stored in the storage device to identify a particular mixed media reality document; and an order processing module for retrieving user information associated with the user using the particular mixed media reality document and causing an order form to be displayed on a capture device of the user, the displayed order form pre-populated with the user information.
|
11. A system for using a printed document describing goods or services, comprising: a memory for storing computer instructions; a storage device storing a plurality of mixed media reality documents; and a processor for executing the computer instructions, wherein the memory includes: a document fingerprint matching module for receiving a captured image of at least a portion of the printed document, the portion including information uniquely identifying the printed document and uniquely identifying a user of the printed document, extracting features from the captured image including the information, and comparing the extracted features with the plurality of mixed media reality documents stored in the storage device to identify a particular mixed media reality document; and an order processing module for retrieving user information associated with the user using the particular mixed media reality document and causing an order form to be displayed on a capture device of the user, the displayed order form pre-populated with the user information. 12. The system of claim 11 , wherein the information comprises a printed name of the user.
| 0.892344 |
9,336,310 | 7 | 8 |
7. The method of claim 1 , wherein determining whether to provide for review of the first piece of on-line content comprises analyzing the first piece of on-line content and generating a reviewability rating for the first piece of on-line content that indicates a likelihood that the first piece of on-line content is legitimate or illegitimate.
|
7. The method of claim 1 , wherein determining whether to provide for review of the first piece of on-line content comprises analyzing the first piece of on-line content and generating a reviewability rating for the first piece of on-line content that indicates a likelihood that the first piece of on-line content is legitimate or illegitimate. 8. The method of claim 7 , wherein analyzing the first piece of on-line content comprises determining a category into which the first piece of on-line content was placed by a poster of the first piece of on-line content.
| 0.5 |
8,381,299 | 39 | 42 |
39. 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; selecting the first plurality of distinct training n-grams on a random basis, pseudo-random basis, or secret basis; receiving an input dataset including first input n-grams, wherein each of the first input n-grams is the first size; determining a first matching count of the first input n-grams that correspond to one of the first plurality of distinct training n-grams; determining a first total count of the first input n-grams; determining a first anomaly detection score using the first matching count and the first total count, 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.
|
39. 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; selecting the first plurality of distinct training n-grams on a random basis, pseudo-random basis, or secret basis; receiving an input dataset including first input n-grams, wherein each of the first input n-grams is the first size; determining a first matching count of the first input n-grams that correspond to one of the first plurality of distinct training n-grams; determining a first total count of the first input n-grams; determining a first anomaly detection score using the first matching count and the first total count, 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. 42. The medium of claim 39 , wherein the plurality of n-grams in the training dataset also includes a second plurality of distinct training n-grams that are each a second size, and the input dataset also includes second input n-grams that are each the second size, and wherein the method further comprises: determining a second matching count of the second input n-grams that correspond to one of the second plurality of distinct training n-grams; determining a second total count of the second input n-grams; determining a second anomaly detection score using-the second matching count and the second total count; and determining based upon the second anomaly detection score whether the input dataset contains an anomaly.
| 0.5 |
9,542,927 | 1 | 2 |
1. A method comprising: extracting speech features from a plurality of recorded reference speech utterances of a reference speaker to generate a reference set of reference-speaker vectors; for each respective plurality of recorded colloquial speech utterances of a respective colloquial speaker of multiple colloquial speakers, extracting speech features from the recorded colloquial speech utterances of the respective colloquial speaker to generate a respective set of colloquial-speaker vectors; for each respective set of colloquial-speaker vectors, replacing each colloquial-speaker vector of the respective set of colloquial-speaker vectors with a respective, optimally-matched reference-speaker vector from among the reference set of reference-speaker vectors, the respective, optimally-matched reference-speaker vector being identified by matching under a transform that compensates for differences in speech between the reference speaker and the respective colloquial speaker; aggregating the replaced colloquial-speaker vectors of all the respective sets of colloquial-speaker vectors into an aggregate set of conditioned speaker vectors; providing the aggregate set of conditioned speaker vectors to a text-to-speech (TTS) system implemented on one or more computing devices; and training the TTS system using the provided aggregate set of conditioned speaker vectors.
|
1. A method comprising: extracting speech features from a plurality of recorded reference speech utterances of a reference speaker to generate a reference set of reference-speaker vectors; for each respective plurality of recorded colloquial speech utterances of a respective colloquial speaker of multiple colloquial speakers, extracting speech features from the recorded colloquial speech utterances of the respective colloquial speaker to generate a respective set of colloquial-speaker vectors; for each respective set of colloquial-speaker vectors, replacing each colloquial-speaker vector of the respective set of colloquial-speaker vectors with a respective, optimally-matched reference-speaker vector from among the reference set of reference-speaker vectors, the respective, optimally-matched reference-speaker vector being identified by matching under a transform that compensates for differences in speech between the reference speaker and the respective colloquial speaker; aggregating the replaced colloquial-speaker vectors of all the respective sets of colloquial-speaker vectors into an aggregate set of conditioned speaker vectors; providing the aggregate set of conditioned speaker vectors to a text-to-speech (TTS) system implemented on one or more computing devices; and training the TTS system using the provided aggregate set of conditioned speaker vectors. 2. The method of claim 1 , wherein each given colloquial-speaker vector of each respective set of colloquial-speaker vectors has an associated enriched transcription derived from a respective text string associated with a particular recorded colloquial speech utterance from which the given colloquial-speaker vector was extracted, and wherein replacing each colloquial-speaker vector of the respective set of colloquial-speaker vectors with the respective, optimally-matched reference-speaker vector comprises: for each given colloquial-speaker vector of the respective set of colloquial-speaker vectors that is replaced, retaining its associated enriched transcription.
| 0.708767 |
9,996,626 | 1 | 16 |
1. A computer-implemented method for selecting promotional information for display, the method comprising: receiving, by a configured computing system of a content item selection service that communicates with computer systems of a separate online retailer over one or more computer networks, information about search results generated by the online retailer in response to a search request by a user, wherein the search results indicate multiple products available to be acquired from the online retailer and are included in a search results Web page from the online retailer to be displayed to the user on a client device of the user; automatically determining, by the configured computing system of the content item selection service, a product category to associate with the search request by analyzing information about multiple product categories of the indicated products in the search results; sending, by the configured computing system of the content item selection service, one or more electronic communications that have information about one or more additional products to include as part of the search results Web page displayed to the user, wherein the one or more additional products are distinct from the indicated products in the search results and are selected from the determined product category by the configured computing system; determining, by the configured computing system of the content item selection service and based at least in part on the determining of the product category to associate with the search request, to further associate the determined product category with one or more additional Web pages that are displayed to the user on the client device as a result of one or more interactions by the user with the search results included in the displayed search results Web page, including to send one or more additional electronic communications with information about one or more further products selected from the determined product category to include as part of the one or more additional Web pages displayed to the user; and updating, by the configured computing system of the content item selection service, and based at least in part on one or more further interactions by the user with the displayed one or more additional Web pages, an association for the search request from the determined product category to a different product category, for use with later searches by other users using the search request.
|
1. A computer-implemented method for selecting promotional information for display, the method comprising: receiving, by a configured computing system of a content item selection service that communicates with computer systems of a separate online retailer over one or more computer networks, information about search results generated by the online retailer in response to a search request by a user, wherein the search results indicate multiple products available to be acquired from the online retailer and are included in a search results Web page from the online retailer to be displayed to the user on a client device of the user; automatically determining, by the configured computing system of the content item selection service, a product category to associate with the search request by analyzing information about multiple product categories of the indicated products in the search results; sending, by the configured computing system of the content item selection service, one or more electronic communications that have information about one or more additional products to include as part of the search results Web page displayed to the user, wherein the one or more additional products are distinct from the indicated products in the search results and are selected from the determined product category by the configured computing system; determining, by the configured computing system of the content item selection service and based at least in part on the determining of the product category to associate with the search request, to further associate the determined product category with one or more additional Web pages that are displayed to the user on the client device as a result of one or more interactions by the user with the search results included in the displayed search results Web page, including to send one or more additional electronic communications with information about one or more further products selected from the determined product category to include as part of the one or more additional Web pages displayed to the user; and updating, by the configured computing system of the content item selection service, and based at least in part on one or more further interactions by the user with the displayed one or more additional Web pages, an association for the search request from the determined product category to a different product category, for use with later searches by other users using the search request. 16. The method of claim 1 wherein the automatic determining of the product category for the search request includes selecting a single associated product category for the search request based at least in part on determining a most frequent product category of the multiple products, wherein the method further comprises storing the association for the search request with the determined product category, and wherein the updating of the association includes updating the stored association.
| 0.716435 |
7,769,277 | 2 | 3 |
2. The non-transitory computer readable medium of claim 1 , wherein a first subtitle information segment among the plurality of subtitle information segments identified as the text data includes a palette identifier identifying palette information for controlling color attributes of the subtitle area.
|
2. The non-transitory computer readable medium of claim 1 , wherein a first subtitle information segment among the plurality of subtitle information segments identified as the text data includes a palette identifier identifying palette information for controlling color attributes of the subtitle area. 3. The non-transitory computer readable medium of claim 2 , wherein the palette information includes the palette, a brightness value, a red chrominance value, a blue chrominance value, and a transparency value.
| 0.5 |
8,321,845 | 11 | 12 |
11. The computer program product of claim 10 , wherein the computer usable program code for parsing the XPATH input expression to produce a plurality of sub-expressions, comprises: computer usable program code for parsing the XPATH input expression to identify expression nodes, step nodes, function nodes, and predicates to the step nodes; and, computer usable program code for arranging the nodes in an XPATH traversal tree (XTT) model.
|
11. The computer program product of claim 10 , wherein the computer usable program code for parsing the XPATH input expression to produce a plurality of sub-expressions, comprises: computer usable program code for parsing the XPATH input expression to identify expression nodes, step nodes, function nodes, and predicates to the step nodes; and, computer usable program code for arranging the nodes in an XPATH traversal tree (XTT) model. 12. The computer program product of claim 11 , wherein the computer usable program code for parsing the XPATH input expression to identify expression nodes, step nodes, function nodes, and predicates to the step nodes, further comprises computer usable program code for identifying parenthesis nodes for the XPATH input expression.
| 0.5 |
9,165,075 | 7 | 8 |
7. The method of claim 1 , wherein the receiving the search query further comprises receiving the search query for published web services in the UDDI registry.
|
7. The method of claim 1 , wherein the receiving the search query further comprises receiving the search query for published web services in the UDDI registry. 8. The method of claim 7 , further comprising transmitting the information, the comment, and the influence rating to the user based upon the search query.
| 0.5 |
8,336,025 | 20 | 23 |
20. A computer and a non-transitory computer-readable medium comprising software that, when executed by the computer, causes the computer to perform operations, the computer-readable medium comprising: instructions for determining a user selected construct within a design tool; instructions for receiving a selection of a computing environment within the design tool, the computing environment being selected from at least one textual computing environment and at least one graphical computing environment; instructions for identifying the selected computing environment into which the selected construct is placed; instructions for determining a position of the selected user construct placed in the selected computing environment; instructions for selecting a template based on the selected computing environment and the user selected construct; and instructions for inserting the selected template into the selected computing environment at the determined position in the selected computing environment.
|
20. A computer and a non-transitory computer-readable medium comprising software that, when executed by the computer, causes the computer to perform operations, the computer-readable medium comprising: instructions for determining a user selected construct within a design tool; instructions for receiving a selection of a computing environment within the design tool, the computing environment being selected from at least one textual computing environment and at least one graphical computing environment; instructions for identifying the selected computing environment into which the selected construct is placed; instructions for determining a position of the selected user construct placed in the selected computing environment; instructions for selecting a template based on the selected computing environment and the user selected construct; and instructions for inserting the selected template into the selected computing environment at the determined position in the selected computing environment. 23. The computer and non-transitory computer-readable medium according to claim 20 , wherein the design tool is a standalone graphical application.
| 0.920797 |
8,131,538 | 1 | 18 |
1. A phoneme decoding system, comprising: a non-transitory medium; one or more sentences disposed on the medium, each sentence comprising one or more words, each of the words comprising at least one letter string representative of at least one of a single-source phoneme, a silent phoneme, and a multi-source phoneme; and a symbol key defining a unique mnemonic pictogram for every multi-source phoneme of the system; wherein at least one word comprises a multi-source phoneme letter string with a unique pictogram positioned thereabove or therebelow that represents the phoneme for the given usage of the underlying letter string in the word and in the sentence, and that is the only pictogram for all letter strings associated with said phoneme; all of the letter strings disposed on said medium form all or part of said one or more words disposed on said medium; and all of the pictograms are positioned above or below the letter strings they represent.
|
1. A phoneme decoding system, comprising: a non-transitory medium; one or more sentences disposed on the medium, each sentence comprising one or more words, each of the words comprising at least one letter string representative of at least one of a single-source phoneme, a silent phoneme, and a multi-source phoneme; and a symbol key defining a unique mnemonic pictogram for every multi-source phoneme of the system; wherein at least one word comprises a multi-source phoneme letter string with a unique pictogram positioned thereabove or therebelow that represents the phoneme for the given usage of the underlying letter string in the word and in the sentence, and that is the only pictogram for all letter strings associated with said phoneme; all of the letter strings disposed on said medium form all or part of said one or more words disposed on said medium; and all of the pictograms are positioned above or below the letter strings they represent. 18. The phoneme decoding system of claim 1 , comprising additional reading marks placed as a subscript below at least one of said letter strings.
| 0.71 |
8,831,754 | 17 | 18 |
17. One or more computer storage media storing computer-readable instructions that, when executed, instruct one or more processors to perform operations comprising: monitoring a stream of user search and click events, each event being associated with a plurality of features describing the event, at least some of the plurality of features being universal resource locator prefix levels of a document; creating a graphical data structure comprising layers of parent and child variable nodes connected by edges, weights associated with the plurality of features being represented by variable nodes and at least some of the variable nodes being connected such that sequences of connected variable nodes represent the universal resource locator prefix levels of the document, each variable node being associated with statistics describing a probability distribution representing a latent event score; updating the statistics for at least one of the variable nodes on the basis of the monitoring; and predicting a user input event related to a simultaneous scope search using the graphical data structure.
|
17. One or more computer storage media storing computer-readable instructions that, when executed, instruct one or more processors to perform operations comprising: monitoring a stream of user search and click events, each event being associated with a plurality of features describing the event, at least some of the plurality of features being universal resource locator prefix levels of a document; creating a graphical data structure comprising layers of parent and child variable nodes connected by edges, weights associated with the plurality of features being represented by variable nodes and at least some of the variable nodes being connected such that sequences of connected variable nodes represent the universal resource locator prefix levels of the document, each variable node being associated with statistics describing a probability distribution representing a latent event score; updating the statistics for at least one of the variable nodes on the basis of the monitoring; and predicting a user input event related to a simultaneous scope search using the graphical data structure. 18. The one or more computer storage media of claim 17 , wherein the statistics for the at least one of the variable nodes is updated by using a Bayesian machine learning process such that latent event score information is propagated along the sequences of variable nodes which represent the universal resource locator prefix levels of the document.
| 0.5 |
9,390,282 | 12 | 14 |
12. A computing device comprising: a processor; and executable instructions operable by the processor, the executable instructions comprising a method for creating a document in a collaborative manner, the method comprising: providing a non-obfuscated original document (NOD) that is accessible to an outsourcing entity, the NOD having one or more sensitive items contained therein; obfuscating said one or more sensitive items in the NOD, to produce an obfuscated original document (OOD) containing obfuscated items; providing the OOD to plurality of worker entities to make changes to the OOD, the changes producing a plurality of obfuscated transformed document (OTD) parts; receiving the OTD parts from the worker entities, the OTD parts containing the changes made by the worker entities to the OOD; and assembling the OTD parts into an obfuscated transformed document (OTD); de-obfuscating the OTD by restoring the obfuscated items to their corresponding sensitive items, to produce a content-restored transformed document (CTD); sending an instruction from the outsourcing entity to one of the plurality of worker entities via a communication mechanism; and receiving an updated OTD from the worker entity receiving the instruction from the outsourcing entity, the updated OTD containing at least one additional change made by the worker entity to the OOD.
|
12. A computing device comprising: a processor; and executable instructions operable by the processor, the executable instructions comprising a method for creating a document in a collaborative manner, the method comprising: providing a non-obfuscated original document (NOD) that is accessible to an outsourcing entity, the NOD having one or more sensitive items contained therein; obfuscating said one or more sensitive items in the NOD, to produce an obfuscated original document (OOD) containing obfuscated items; providing the OOD to plurality of worker entities to make changes to the OOD, the changes producing a plurality of obfuscated transformed document (OTD) parts; receiving the OTD parts from the worker entities, the OTD parts containing the changes made by the worker entities to the OOD; and assembling the OTD parts into an obfuscated transformed document (OTD); de-obfuscating the OTD by restoring the obfuscated items to their corresponding sensitive items, to produce a content-restored transformed document (CTD); sending an instruction from the outsourcing entity to one of the plurality of worker entities via a communication mechanism; and receiving an updated OTD from the worker entity receiving the instruction from the outsourcing entity, the updated OTD containing at least one additional change made by the worker entity to the OOD. 14. The computing device of claim 12 , wherein the computing device represents a client computing device that is accessible to the outsourcing entity.
| 0.662162 |
9,811,734 | 11 | 13 |
11. The computing system of claim 10 , wherein: the set of one or more area description files comprises a plurality of area description files; the query module is to identify the plurality of area description files as being associated with the area; and the merge module is to generate the localization area description file by: deduplicating the point clouds represented by the plurality of area description files; determining a relative alignment of the point clouds; and incorporating the point clouds in the localization area description file.
|
11. The computing system of claim 10 , wherein: the set of one or more area description files comprises a plurality of area description files; the query module is to identify the plurality of area description files as being associated with the area; and the merge module is to generate the localization area description file by: deduplicating the point clouds represented by the plurality of area description files; determining a relative alignment of the point clouds; and incorporating the point clouds in the localization area description file. 13. The computing system of claim 11 , wherein: the merge module further is to generate the localization area description file further by: identifying a plurality of sub-areas based on the point clouds; and generating a local area description file for each sub-area from the spatial features of the point clouds that are located in the sub-area.
| 0.5 |
8,478,737 | 1 | 8 |
1. A system for segmenting a session of queries comprising: a search log database operative to store search queries; and a segmenter coupled with the search log database, the segmenter further including: a receiver operative to receive a pair of queries from the search log database; a feature analyzer coupled with the receiver and operative to compare the pair of queries based on at least one feature; and an identifier coupled with the feature analyzer and operative to identify a goal boundary between the pair of queries when the at least one feature of the pair of queries indicates a change between the pair of queries; wherein the receiver is further operative to receive additional successive pairs of the stored search queries for identifying goal boundaries in the session of queries.
|
1. A system for segmenting a session of queries comprising: a search log database operative to store search queries; and a segmenter coupled with the search log database, the segmenter further including: a receiver operative to receive a pair of queries from the search log database; a feature analyzer coupled with the receiver and operative to compare the pair of queries based on at least one feature; and an identifier coupled with the feature analyzer and operative to identify a goal boundary between the pair of queries when the at least one feature of the pair of queries indicates a change between the pair of queries; wherein the receiver is further operative to receive additional successive pairs of the stored search queries for identifying goal boundaries in the session of queries. 8. The system according to claim 1 wherein the at least one feature comprises an edit distance comparison between the one of the successive pairs.
| 0.791429 |
7,523,440 | 33 | 39 |
33. A method for generating a formatted user interface for editing information associated with entities in model loaded in a modeling environment, the method comprising: loading one or more models in the modeling environment; displaying a first user interface element displaying entities of the one or more models loaded in the modeling environment, wherein the first user interface element enables users to select multiple entities displayed in the first interface element; selecting a plurality of entities in the loaded models in response to user input in the first user interface element; identifying editable information associated with the selected plurality of entities; identifying common data associated with the selected plurality of entities, the identifying including classifying data in an intersection of data associated with the selected plurality of entities as common data; and dynamically generating from the identified editable information and the identified common data using a computational device a formatted second user interface element displaying at least a portion of the identified editable information and the identified common data associated with the selected plurality of entities, the formatted second user interface element enabling the users to distinguish data associated with the selected plurality of entities that is common data from data associated with the selected plurality of entities that in not common data, the formatted second user interface element enabling the users to edit data that is common data.
|
33. A method for generating a formatted user interface for editing information associated with entities in model loaded in a modeling environment, the method comprising: loading one or more models in the modeling environment; displaying a first user interface element displaying entities of the one or more models loaded in the modeling environment, wherein the first user interface element enables users to select multiple entities displayed in the first interface element; selecting a plurality of entities in the loaded models in response to user input in the first user interface element; identifying editable information associated with the selected plurality of entities; identifying common data associated with the selected plurality of entities, the identifying including classifying data in an intersection of data associated with the selected plurality of entities as common data; and dynamically generating from the identified editable information and the identified common data using a computational device a formatted second user interface element displaying at least a portion of the identified editable information and the identified common data associated with the selected plurality of entities, the formatted second user interface element enabling the users to distinguish data associated with the selected plurality of entities that is common data from data associated with the selected plurality of entities that in not common data, the formatted second user interface element enabling the users to edit data that is common data. 39. The method of claim 33 wherein the modeling environment includes a block diagram modeling environment.
| 0.795367 |
9,218,340 | 15 | 18 |
15. A non-transitory computer readable medium storing computer program instructions for translating messages, which, when executed on a processor, cause the processor to perform operations comprising: receiving an electronic message from a first user to a second user directed to one of a plurality of electronic message accounts associated with the second user, at least one of the plurality of electronic message accounts associated with a preferred language different from preferred languages associated with other electronic message accounts of the plurality of electronic message accounts; determining a source language of the electronic message; determining a preferred language associated with the one of the plurality of electronic message accounts associated with the second user; translating the electronic message to the preferred language when the source language is not the same as the preferred language.
|
15. A non-transitory computer readable medium storing computer program instructions for translating messages, which, when executed on a processor, cause the processor to perform operations comprising: receiving an electronic message from a first user to a second user directed to one of a plurality of electronic message accounts associated with the second user, at least one of the plurality of electronic message accounts associated with a preferred language different from preferred languages associated with other electronic message accounts of the plurality of electronic message accounts; determining a source language of the electronic message; determining a preferred language associated with the one of the plurality of electronic message accounts associated with the second user; translating the electronic message to the preferred language when the source language is not the same as the preferred language. 18. The non-transitory computer readable medium of claim 15 , the operations further comprising: receiving a reply message in a first language from the second user to the first user; accessing a client processing device associated with the first user to determine a preferred language of the first user; and translating the reply message to the preferred language of the first user when the first language is not the same as the preferred language of the first user.
| 0.5 |
9,063,924 | 35 | 39 |
35. A method, comprising: identifying a propagating attribute associated with a parse item of a plurality of parse items, the plurality of parse items arranged in an ordered data structure; determining a direction of propagation of the propagating attribute within the ordered data structure; and selectively associating the propagating attribute with each parse item of the plurality of parse items located in the direction of propagation within the ordered data structure.
|
35. A method, comprising: identifying a propagating attribute associated with a parse item of a plurality of parse items, the plurality of parse items arranged in an ordered data structure; determining a direction of propagation of the propagating attribute within the ordered data structure; and selectively associating the propagating attribute with each parse item of the plurality of parse items located in the direction of propagation within the ordered data structure. 39. The method of claim 35 , further comprising selectively merging the parse item of the plurality of parse items with at least one of another parse item of the plurality of parse items or a semantic attribute based, at least in part, on a plurality of semantic matches.
| 0.700221 |
9,338,071 | 16 | 17 |
16. The method of claim 14 , comprising receiving a request from the remote device to change the active locale for the electronic device from the active locale indicated in the message to an available locale listed in the available locales field transmitted in the message from the electronic device to the remote device in response to the request for active or available locales for the electronic device.
|
16. The method of claim 14 , comprising receiving a request from the remote device to change the active locale for the electronic device from the active locale indicated in the message to an available locale listed in the available locales field transmitted in the message from the electronic device to the remote device in response to the request for active or available locales for the electronic device. 17. The method of claim 16 , comprising: determining whether the request to change the active locale is properly formatted request that pertains to an available locale; if the request to change the active locale is a properly formatted request that pertains to an available locale, changing the active locale field to a locale indicated in the request; and if the request to change the active locale is not properly formatted or pertains to a locale not stored in the available locales, responding with a notification to the remote device that the requested change has failed.
| 0.5 |
8,868,549 | 4 | 5 |
4. The system of claim 1 , where, when obtaining the set of one or more addresses, the one or more computer devices are configured to: add a first address, corresponding to a particular document that is on-topic relative to a topic of the search query, to a positive preferences list, and add a second address, corresponding to another particular document that is off-topic relative to the topic of the search query, to a negative preferences list.
|
4. The system of claim 1 , where, when obtaining the set of one or more addresses, the one or more computer devices are configured to: add a first address, corresponding to a particular document that is on-topic relative to a topic of the search query, to a positive preferences list, and add a second address, corresponding to another particular document that is off-topic relative to the topic of the search query, to a negative preferences list. 5. The system of claim 4 , where, when including the one of the references in the filtered set of references, the one or more computer devices are configured further to: include, in the filtered set of references, a first one of the references corresponding to the first address in the positive preferences list, and exclude, from the filtered set of references, a second one of the references corresponding to the second address in the negative preferences list.
| 0.5 |
7,877,421 | 1 | 10 |
1. A method executed in a computer for deriving a transformation for transforming first data conforming with a source data schema to second data conforming to a target data schema, the method comprising: providing an ontology model including classes and properties of classes; providing the source data schema; providing the target data schema, wherein the target data schema is different from the source data schema; identifying a first primary data construct within the source data schema; identifying a first secondary data construct within the first primary data construct; identifying a second primary data construct within the target data schema; identifying a second secondary data construct within the second primary data construct; generating a first mapping for mapping the first primary data construct to a corresponding class of the ontology model; generating a second mapping for mapping the first secondary data construct to a property of the corresponding class of the ontology model; generating a third mapping for mapping the second primary data to a corresponding class of the ontology model; generating a fourth mapping for mapping the second secondary data construct to a property of the corresponding class of the ontology model; and deriving the transformation, wherein the transformation is based on the first mapping, the second mapping, the third mapping, and the fourth mapping.
|
1. A method executed in a computer for deriving a transformation for transforming first data conforming with a source data schema to second data conforming to a target data schema, the method comprising: providing an ontology model including classes and properties of classes; providing the source data schema; providing the target data schema, wherein the target data schema is different from the source data schema; identifying a first primary data construct within the source data schema; identifying a first secondary data construct within the first primary data construct; identifying a second primary data construct within the target data schema; identifying a second secondary data construct within the second primary data construct; generating a first mapping for mapping the first primary data construct to a corresponding class of the ontology model; generating a second mapping for mapping the first secondary data construct to a property of the corresponding class of the ontology model; generating a third mapping for mapping the second primary data to a corresponding class of the ontology model; generating a fourth mapping for mapping the second secondary data construct to a property of the corresponding class of the ontology model; and deriving the transformation, wherein the transformation is based on the first mapping, the second mapping, the third mapping, and the fourth mapping. 10. The method of claim 1 wherein generating the first mapping and generating the second mapping are performed automatically, based on matching at least partial names between the primary data construct and another primary data construct for which said mapping the primary data construct has already been performed, and between the secondary data construct and another secondary data construct for which said mapping the secondary data construct has already been performed, respectively.
| 0.5 |
7,507,902 | 1 | 27 |
1. A stringed instrument comprising: an elongated instrument body; a plurality of strings coupled to said instrument body, wherein each string of said plurality of strings is under tension and spans a distance over said instrument body; a plurality of bridges, wherein each bridge of said plurality of bridges is associated with a separate string of said plurality of strings, and wherein each bridge of said plurality of bridges is slideably adjustable over a substantial portion of said span over said instrument body; a plurality of vibration-sensing transducers, wherein each transducer of said plurality of vibration-sensing transducers is associated with a separate string of said plurality of strings, and wherein each transducer of said plurality of vibration-sensing transducers generates a distinct electrical transducer signal responsive to vibrations of said associated separate string; and an interface adapted to provide transducer signals generated by said plurality of vibration-sensing transducers to a multi-channel processing system.
|
1. A stringed instrument comprising: an elongated instrument body; a plurality of strings coupled to said instrument body, wherein each string of said plurality of strings is under tension and spans a distance over said instrument body; a plurality of bridges, wherein each bridge of said plurality of bridges is associated with a separate string of said plurality of strings, and wherein each bridge of said plurality of bridges is slideably adjustable over a substantial portion of said span over said instrument body; a plurality of vibration-sensing transducers, wherein each transducer of said plurality of vibration-sensing transducers is associated with a separate string of said plurality of strings, and wherein each transducer of said plurality of vibration-sensing transducers generates a distinct electrical transducer signal responsive to vibrations of said associated separate string; and an interface adapted to provide transducer signals generated by said plurality of vibration-sensing transducers to a multi-channel processing system. 27. The instrument according to claim 1 , wherein said instrument is configured as a Chinese Sheng.
| 0.896875 |
9,507,876 | 13 | 14 |
13. The method of claim 12 , further comprising: receiving, from the client device of the first user, and text string inputted into the query field; and identifying one or more second nodes matching the text string.
|
13. The method of claim 12 , further comprising: receiving, from the client device of the first user, and text string inputted into the query field; and identifying one or more second nodes matching the text string. 14. The method of claim 13 , further comprising: sending, to the client device of the first user, a user interface comprising additional query-filter elements, each additional query-filter element corresponding to one of the identified second nodes matching the text string; and receiving, from the client device of the first user, a third search query comprising a selection of one or more of the identified second nodes in response to the first user activating the corresponding additional query-filter elements.
| 0.5 |
7,921,067 | 1 | 8 |
1. A method for mood detection using a mood detection device having a processor comprising: receiving audio data; assigning a user to a predetermined group of users; determining, using the mood detection device, a mood for said audio data based on at least one mood model, wherein said determining includes determining or receiving a union mood model, which corresponds to a mood model for said predetermined group of users, and using said union mood model as mood model for determining said mood; communicating the determined mood to the user; thereafter, receiving user feedback of the user for said determined mood, said user feedback being on a gradual scale and indicative as to whether said determined mood corresponds to a perceived mood of said user for said audio data; and adapting said mood model based on said user feedback.
|
1. A method for mood detection using a mood detection device having a processor comprising: receiving audio data; assigning a user to a predetermined group of users; determining, using the mood detection device, a mood for said audio data based on at least one mood model, wherein said determining includes determining or receiving a union mood model, which corresponds to a mood model for said predetermined group of users, and using said union mood model as mood model for determining said mood; communicating the determined mood to the user; thereafter, receiving user feedback of the user for said determined mood, said user feedback being on a gradual scale and indicative as to whether said determined mood corresponds to a perceived mood of said user for said audio data; and adapting said mood model based on said user feedback. 8. The method according to claim 1 , wherein said user is assigned to said predetermined group of users based on collaborative filtering algorithms.
| 0.70751 |
9,984,072 | 9 | 11 |
9. A method for providing translated content, the method comprising: acquiring, by a device, content to be sent to a plurality of mail accounts, the content comprising text included in a text body, and the plurality of mail accounts being electronic mail accounts; displaying, on a display of the device, a plurality of translation option icons corresponding to the plurality of mail accounts, respectively; generating a plurality of inquiries corresponding to the plurality of mail accounts, respectively, based on information estimated as receiver-related information included in the text of the text body of the content; acquiring, based on an input to a corresponding translation option icon for each of the plurality of mail accounts, translation option information indicating whether to perform translation for the plurality of mail accounts; acquiring, based on the plurality of inquiries corresponding to the plurality of mail accounts, respectively, translation language information indicating a translation language for the plurality of mail accounts; determining, by the device, whether to perform the translation, and a translation language for each of the plurality of mail accounts, based on the translation option information and the translation language information for the plurality of mail accounts; and transmitting, by the device, a request for translating the content to a server, based on the determining, wherein the content comprises a first Web page address linking to a first Web page comprising first text in a language corresponding to the device, the request comprises instructions instructing the server to convert the first Web page address to a second Web page address linking to a second Web page comprising second text in a translation language corresponding to one of the plurality of mail accounts, and the second Web page corresponds to the first Web page.
|
9. A method for providing translated content, the method comprising: acquiring, by a device, content to be sent to a plurality of mail accounts, the content comprising text included in a text body, and the plurality of mail accounts being electronic mail accounts; displaying, on a display of the device, a plurality of translation option icons corresponding to the plurality of mail accounts, respectively; generating a plurality of inquiries corresponding to the plurality of mail accounts, respectively, based on information estimated as receiver-related information included in the text of the text body of the content; acquiring, based on an input to a corresponding translation option icon for each of the plurality of mail accounts, translation option information indicating whether to perform translation for the plurality of mail accounts; acquiring, based on the plurality of inquiries corresponding to the plurality of mail accounts, respectively, translation language information indicating a translation language for the plurality of mail accounts; determining, by the device, whether to perform the translation, and a translation language for each of the plurality of mail accounts, based on the translation option information and the translation language information for the plurality of mail accounts; and transmitting, by the device, a request for translating the content to a server, based on the determining, wherein the content comprises a first Web page address linking to a first Web page comprising first text in a language corresponding to the device, the request comprises instructions instructing the server to convert the first Web page address to a second Web page address linking to a second Web page comprising second text in a translation language corresponding to one of the plurality of mail accounts, and the second Web page corresponds to the first Web page. 11. The method of claim 9 , wherein the content is related to electronic mail to be transmitted to the plurality of mail accounts.
| 0.788274 |
9,092,130 | 3 | 4 |
3. The device of claim 1 , including instructions for, in response to detecting the first input, entering a document-editing mode.
|
3. The device of claim 1 , including instructions for, in response to detecting the first input, entering a document-editing mode. 4. The device of claim 3 , including instructions for, while in the document-editing mode, editing text of the document in response to user inputs.
| 0.823317 |
8,126,912 | 1 | 6 |
1. A computer-implemented method for tagging content, comprising: providing a graphical user interface (GUI) configured to receive input; providing, via the GUI, a prompt for an initial taxonomy category from among a plurality of taxonomy categories and a prompt for an initial metadata tag for the object; receiving, via the GUI, a selection of the initial taxonomy category from among the plurality of taxonomy categories, and associating the object with the initial taxonomy category; receiving, via the GUI, a selection of the initial metadata tag and associating the initial metadata tag with the object; based on the initial taxonomy category and the initial metadata tag, accessing a metadata tag knowledgebase to derive a plurality of suggested metadata tags; visually depicting, via the GUI, the plurality of suggested metadata tags, the visually depicting comprising continually updating a suggested tags area of the GUI with new metadata tags based on a prior trend of tag selections; receiving, via the GUI, a selected metadata tag from among the plurality of suggested metadata tags, and associating the selected metadata tag with the object; and updating the metadata tag knowledgebase to reflect tags associated with the object.
|
1. A computer-implemented method for tagging content, comprising: providing a graphical user interface (GUI) configured to receive input; providing, via the GUI, a prompt for an initial taxonomy category from among a plurality of taxonomy categories and a prompt for an initial metadata tag for the object; receiving, via the GUI, a selection of the initial taxonomy category from among the plurality of taxonomy categories, and associating the object with the initial taxonomy category; receiving, via the GUI, a selection of the initial metadata tag and associating the initial metadata tag with the object; based on the initial taxonomy category and the initial metadata tag, accessing a metadata tag knowledgebase to derive a plurality of suggested metadata tags; visually depicting, via the GUI, the plurality of suggested metadata tags, the visually depicting comprising continually updating a suggested tags area of the GUI with new metadata tags based on a prior trend of tag selections; receiving, via the GUI, a selected metadata tag from among the plurality of suggested metadata tags, and associating the selected metadata tag with the object; and updating the metadata tag knowledgebase to reflect tags associated with the object. 6. The computer-implemented method of claim 1 , further comprising uploading the object to an Internet based online repository.
| 0.815407 |
9,881,608 | 9 | 11 |
9. The computer program product of claim 8 , wherein each of the multiple candidate transcriptions of the user utterance is associated with a speech recognition lattice that is generated by the server-based, automated speech recognizer based on the audio data.
|
9. The computer program product of claim 8 , wherein each of the multiple candidate transcriptions of the user utterance is associated with a speech recognition lattice that is generated by the server-based, automated speech recognizer based on the audio data. 11. The computer program product of claim 9 , wherein the second transcription of the user utterance is an alternate transcription of the user utterance associated with the speech recognition lattice that has a highest calculated probability of being a correct transcription of the user utterance.
| 0.5 |
8,332,206 | 15 | 17 |
15. A non-transitory machine-readable medium comprising instructions stored therein, which when executed by a machine, cause the machine to perform operations comprising: receiving an input indicating a word selected by a user; determining a user's language; communicating the determined user's language to a definition server and a translation server; sending, simultaneously, a definition request for the word to the definition server along with sending a translation request for the word to the translation server, wherein the translation request includes an indication of the user's language; receiving a response to the definition request from the definition server, wherein the response to the definition request indicates whether there is at least one definition of the word in the user's language; receiving a response to the translation request from the translation server, wherein the response to the translation request indicates whether there is at least one translation of the word in the user's language, wherein the response to the definition request and the response to the translation request are received simultaneously; determining whether to provide the user with a definition or a translation of the word based on the responses from the definition server and the translation server, wherein the determination comprises: determining to provide the user with a definition of the word when the response to the definition request includes at least one definition of the word in the user's language; and determining to provide the user with the translation of the word when the response to the definition request indicates that there is no definition of the word in the user's language and the response to the translation request includes at least one translation of the word in the user's language; and displaying the definition or the translation of the word within a bubble on a display based on the determination of whether to provide the user with a definition or a translation of the word.
|
15. A non-transitory machine-readable medium comprising instructions stored therein, which when executed by a machine, cause the machine to perform operations comprising: receiving an input indicating a word selected by a user; determining a user's language; communicating the determined user's language to a definition server and a translation server; sending, simultaneously, a definition request for the word to the definition server along with sending a translation request for the word to the translation server, wherein the translation request includes an indication of the user's language; receiving a response to the definition request from the definition server, wherein the response to the definition request indicates whether there is at least one definition of the word in the user's language; receiving a response to the translation request from the translation server, wherein the response to the translation request indicates whether there is at least one translation of the word in the user's language, wherein the response to the definition request and the response to the translation request are received simultaneously; determining whether to provide the user with a definition or a translation of the word based on the responses from the definition server and the translation server, wherein the determination comprises: determining to provide the user with a definition of the word when the response to the definition request includes at least one definition of the word in the user's language; and determining to provide the user with the translation of the word when the response to the definition request indicates that there is no definition of the word in the user's language and the response to the translation request includes at least one translation of the word in the user's language; and displaying the definition or the translation of the word within a bubble on a display based on the determination of whether to provide the user with a definition or a translation of the word. 17. The machine-readable medium of claim 15 , wherein the operations further comprise displaying an icon representing a pronunciation of the word when the response to the translation request includes at least one translation of the word and an audio file of the pronunciation of the word.
| 0.5 |
8,396,859 | 1 | 4 |
1. A method for use in establishing a searchable data structure, comprising: providing a list of terms pertaining to a subject matter of interest, wherein said list of terms comprise potential search terms for use in search requests to access data of said subject matter, and wherein said potential search terms reflect inconsistencies of linguistics, at least including different terms to identify said same subject matter; syntax, at least including different ordering of said different terms; and semantics, at least including different correlations between a term meaning and said different terms; determining, using a computer-based tool, contextual information from said data of said subject matter including a plurality of usage contexts pertaining to said subject matter; using said contextual information, first operating said computer-based tool for establishing a standardization structure for standardizing at least a portion of said potential search terms with respect to at least one of said linguistics, at least including said different terms to identify said same subject matter, and syntax, at least including said different ordering of said different terms, wherein different ones of said potential search terms are standardized into a common standard form corresponding to at least one of said plurality of usage contexts; second operating said computer-based tool for establishing a classification structure for said subject matter of interest dependent on said contextual information including said usage contexts, said classification structure having a hierarchical form including classes, corresponding to a subset of said subject matter, each of which includes one or more sub-classes corresponding to a subset of a respective one of said classes; and for each term of said portion of said potential search terms, third operating said computer-based tool for associating said each term with a standardized form for said each term according to said standardized structure and relating said standardized form with said classification structure such that said each term is assigned to at least one of said sub-classes and at least one of said classes, wherein said relating is at least partially based on an identified usage context of said each term from said plurality of usage contexts, wherein said step of third operating comprises obtaining a first set of said potential search terms in a first semantic environment and transforming said first set of said potential search terms into a second semantic environment to provide a second set of said potential search terms, wherein said second semantic environment differs from said first semantic environment with respect to at least one of said linguistics, said syntax, or said semantics, and said second set contains less terms than said first set.
|
1. A method for use in establishing a searchable data structure, comprising: providing a list of terms pertaining to a subject matter of interest, wherein said list of terms comprise potential search terms for use in search requests to access data of said subject matter, and wherein said potential search terms reflect inconsistencies of linguistics, at least including different terms to identify said same subject matter; syntax, at least including different ordering of said different terms; and semantics, at least including different correlations between a term meaning and said different terms; determining, using a computer-based tool, contextual information from said data of said subject matter including a plurality of usage contexts pertaining to said subject matter; using said contextual information, first operating said computer-based tool for establishing a standardization structure for standardizing at least a portion of said potential search terms with respect to at least one of said linguistics, at least including said different terms to identify said same subject matter, and syntax, at least including said different ordering of said different terms, wherein different ones of said potential search terms are standardized into a common standard form corresponding to at least one of said plurality of usage contexts; second operating said computer-based tool for establishing a classification structure for said subject matter of interest dependent on said contextual information including said usage contexts, said classification structure having a hierarchical form including classes, corresponding to a subset of said subject matter, each of which includes one or more sub-classes corresponding to a subset of a respective one of said classes; and for each term of said portion of said potential search terms, third operating said computer-based tool for associating said each term with a standardized form for said each term according to said standardized structure and relating said standardized form with said classification structure such that said each term is assigned to at least one of said sub-classes and at least one of said classes, wherein said relating is at least partially based on an identified usage context of said each term from said plurality of usage contexts, wherein said step of third operating comprises obtaining a first set of said potential search terms in a first semantic environment and transforming said first set of said potential search terms into a second semantic environment to provide a second set of said potential search terms, wherein said second semantic environment differs from said first semantic environment with respect to at least one of said linguistics, said syntax, or said semantics, and said second set contains less terms than said first set. 4. A method as set forth in claim 1 , wherein said step of second operating comprises using one or more users to develop a classification structure for said subject matter, wherein said one or more users define at least one of said usage contexts.
| 0.629129 |
8,627,276 | 32 | 47 |
32. A non-transitory computer-readable medium storing instructions, the instructions comprising: one or more instructions which, when executed by a processor, cause the processor to: identify a plurality of entities having relationships therebetween; access a first entity from the plurality of entities; access a second entity from the plurality of entities; map the first entity to the second entity, the one or more instructions to map the first entity to the second entity including: one or more instructions to bi-directionally map a first part of the first entity and a second part of the second entity; determine, based on the mapping, if a graphical affordance, associated with at least one of an intermediate representation of a graphical model or code associated with the graphical model, is selected; and selectively identify, based on the determining, one or more portions of the graphical model or one or more portions of the at least one of the intermediate representation of the graphical model or the code associated with the graphical model, the one or more instructions to identify the one or more portions of the graphical model including: one or more instructions to receive information associated with browsing the at least one of the intermediate representation of the graphical model or the code associated with the graphical model; and one or more instructions to identify the one or more portions of the graphical model based on the received information associated with browsing the at least one of the intermediate representation of the graphical model or the code associated with the graphical model, and the one or more instructions to identify the one or more portions of the at least one of the intermediate representation of the graphical model or the code associated with the graphical model including: one or more instructions to receive information associated with selecting the graphical affordance of the graphical model; and one or more instructions to identify the at least one of the intermediate representation of the graphical model or the code associated with the graphical model based on the received information associated with selecting the graphical affordance of the graphical model.
|
32. A non-transitory computer-readable medium storing instructions, the instructions comprising: one or more instructions which, when executed by a processor, cause the processor to: identify a plurality of entities having relationships therebetween; access a first entity from the plurality of entities; access a second entity from the plurality of entities; map the first entity to the second entity, the one or more instructions to map the first entity to the second entity including: one or more instructions to bi-directionally map a first part of the first entity and a second part of the second entity; determine, based on the mapping, if a graphical affordance, associated with at least one of an intermediate representation of a graphical model or code associated with the graphical model, is selected; and selectively identify, based on the determining, one or more portions of the graphical model or one or more portions of the at least one of the intermediate representation of the graphical model or the code associated with the graphical model, the one or more instructions to identify the one or more portions of the graphical model including: one or more instructions to receive information associated with browsing the at least one of the intermediate representation of the graphical model or the code associated with the graphical model; and one or more instructions to identify the one or more portions of the graphical model based on the received information associated with browsing the at least one of the intermediate representation of the graphical model or the code associated with the graphical model, and the one or more instructions to identify the one or more portions of the at least one of the intermediate representation of the graphical model or the code associated with the graphical model including: one or more instructions to receive information associated with selecting the graphical affordance of the graphical model; and one or more instructions to identify the at least one of the intermediate representation of the graphical model or the code associated with the graphical model based on the received information associated with selecting the graphical affordance of the graphical model. 47. The computer-readable medium of claim 32 , where the second part includes a section of the generated report and the instructions further include: one or more instructions to graphically identify the first part based on selection of the section.
| 0.635294 |
8,327,255 | 1 | 14 |
1. A method for making a computer program product comprising electronic transcript and exhibit files, comprising: importing, by a processor, one or more electronic transcript files and one or more electronic exhibit files into a publisher module; establishing, by the processor, an operable electronic link between the one or more electronic exhibit files and one or more entries in the one or more electronic transcript files that are associated with the one or more electronic exhibit files; storing a bundle on a computer readable medium via the processor and the publisher module, wherein the bundle comprises the one or more electronic transcript files, the one or more electronic exhibit files, the operable electronic link, and an executable viewer file to view the one or more electronic transcript files and the one or more electronic exhibit files, the computer readable medium comprising a portable device; and providing the one or more electronic transcript files in the bundle via the executable viewer file in the bundle and the one or more electronic exhibit files in the bundle in response to an input activating the operable electronic link via the one or more entries in the one or more provided electronic transcript files.
|
1. A method for making a computer program product comprising electronic transcript and exhibit files, comprising: importing, by a processor, one or more electronic transcript files and one or more electronic exhibit files into a publisher module; establishing, by the processor, an operable electronic link between the one or more electronic exhibit files and one or more entries in the one or more electronic transcript files that are associated with the one or more electronic exhibit files; storing a bundle on a computer readable medium via the processor and the publisher module, wherein the bundle comprises the one or more electronic transcript files, the one or more electronic exhibit files, the operable electronic link, and an executable viewer file to view the one or more electronic transcript files and the one or more electronic exhibit files, the computer readable medium comprising a portable device; and providing the one or more electronic transcript files in the bundle via the executable viewer file in the bundle and the one or more electronic exhibit files in the bundle in response to an input activating the operable electronic link via the one or more entries in the one or more provided electronic transcript files. 14. The method of claim 1 , wherein providing the one or more electronic transcript files and the one or more electronic exhibit files in the bundle via the executable viewer file in the bundle includes: providing, via the executable viewer file, images associated with the one or more electronic transcript files in a transcript window that includes controls to view, search, and scroll through the images associated with one or more electronic transcript files; and providing, via the executable viewer file, images associated with the one or more electronic exhibit files in an exhibit window in response to the input activating the operable electronic link via searching or scrolling through the images associated with one or more electronic transcript files to view the one or more entries in the one or more electronic transcript files that are associated with the one or more electronic exhibit files.
| 0.5 |
8,462,160 | 1 | 6 |
1. A computer implemented method comprising: identifying a plurality of communications between members of an online forum that are related to a topic and occurred during a first time interval; determining, by a computer, a first plurality of top terms that occur in the identified plurality of communications; determining for each top term a first aggregate demographic value based on a demographic attribute of each of the members that used the top term during the first time interval; formatting for display a graph including at least one axis representing the demographic attribute associated with the members; and for each top term, formatting for display on the graph an icon representing the top terms with respect to the at least one demographic axis, wherein a location of the icon for the top term with respect to the demographic axis is based on the based on a frequency of use of the top term by those members that mentioned the top term in the communications.
|
1. A computer implemented method comprising: identifying a plurality of communications between members of an online forum that are related to a topic and occurred during a first time interval; determining, by a computer, a first plurality of top terms that occur in the identified plurality of communications; determining for each top term a first aggregate demographic value based on a demographic attribute of each of the members that used the top term during the first time interval; formatting for display a graph including at least one axis representing the demographic attribute associated with the members; and for each top term, formatting for display on the graph an icon representing the top terms with respect to the at least one demographic axis, wherein a location of the icon for the top term with respect to the demographic axis is based on the based on a frequency of use of the top term by those members that mentioned the top term in the communications. 6. The method of claim 1 , further comprising: formatting for display a user interface control configured to receive a selection of a subset of top terms.
| 0.921026 |
8,010,890 | 1 | 4 |
1. A system comprising: at least one processor in a client computer; a computer readable memory for storing program code to execute on said at least one processor to load a markup language document, said program code including program code for receiving said document, said document comprising a plurality of tags, at least one of said plurality of tags being a custom tag, program code for parsing said document to determine if certain of said plurality of tags is said custom tag, wherein said parsing includes scanning a document object model (DOM) representation of said document for the presence of said custom tag, program code for inserting, by a Web browser executing on said client computer and prior to rendering of said document on a display device, executable instructions into said document at a location of said custom tag, if said custom tag is present, wherein said inserting includes modifying said DOM representation of said document to replace said custom tag with said executable instructions, wherein said executable instructions are for rendering a tree control display, program code for executing said executable instructions for rendering said tree control display, and program code for rendering said document including said tree control display on said display device.
|
1. A system comprising: at least one processor in a client computer; a computer readable memory for storing program code to execute on said at least one processor to load a markup language document, said program code including program code for receiving said document, said document comprising a plurality of tags, at least one of said plurality of tags being a custom tag, program code for parsing said document to determine if certain of said plurality of tags is said custom tag, wherein said parsing includes scanning a document object model (DOM) representation of said document for the presence of said custom tag, program code for inserting, by a Web browser executing on said client computer and prior to rendering of said document on a display device, executable instructions into said document at a location of said custom tag, if said custom tag is present, wherein said inserting includes modifying said DOM representation of said document to replace said custom tag with said executable instructions, wherein said executable instructions are for rendering a tree control display, program code for executing said executable instructions for rendering said tree control display, and program code for rendering said document including said tree control display on said display device. 4. The system of claim 1 wherein said rendering further comprises using said Web browser.
| 0.5 |
9,336,776 | 1 | 3 |
1. A computer-implemented method for providing action items from an audio file within an enterprise context, the method being executed using one or more processors and comprising: determining, by the one or more processors, a context of the audio file that is to be processed based on a user input indicating a training data selection; providing, by the one or more processors, training data to a speech recognition component, the training data being in a format recognizable by the speech recognition component and being provided based on the context; receiving, by the one or more processors, a textual transcript corresponding to the audio file from the speech recognition component; processing, by the one or more processors, the textual transcript to identify one or more action items by identifying one or more concepts within the textual transcript and matching the one or more concepts to respective transitions in an automaton; and providing the one or more action items for display to one or more users.
|
1. A computer-implemented method for providing action items from an audio file within an enterprise context, the method being executed using one or more processors and comprising: determining, by the one or more processors, a context of the audio file that is to be processed based on a user input indicating a training data selection; providing, by the one or more processors, training data to a speech recognition component, the training data being in a format recognizable by the speech recognition component and being provided based on the context; receiving, by the one or more processors, a textual transcript corresponding to the audio file from the speech recognition component; processing, by the one or more processors, the textual transcript to identify one or more action items by identifying one or more concepts within the textual transcript and matching the one or more concepts to respective transitions in an automaton; and providing the one or more action items for display to one or more users. 3. The method of claim 1 , wherein processing the textual transcript further comprises, for action items of the one or more action items, determining a respective quality score.
| 0.584507 |
8,515,731 | 24 | 29 |
24. The system of claim 17 , where generating the term group of text strings and the synonym group of text strings includes receiving a group of term phrases and a group of synonym phrases from a translation source, each term phrase corresponding to a translation of the term into the third language, and each synonym phrase corresponding to a translation of the candidate synonym into the third language.
|
24. The system of claim 17 , where generating the term group of text strings and the synonym group of text strings includes receiving a group of term phrases and a group of synonym phrases from a translation source, each term phrase corresponding to a translation of the term into the third language, and each synonym phrase corresponding to a translation of the candidate synonym into the third language. 29. The system of claim 24 , further programmed to perform operations comprising receiving a confidence score for each term phrase and each synonym phrase, where: the confidence score estimates a confidence in a quality of the translation of the term or synonym to the term phrase or synonym phrase; the term group of text strings only includes text strings derived from term phrases having a confidence score that satisfies a threshold; and the synonym group of text strings only includes text strings derived from synonym phrases having a confidence score that satisfies the threshold.
| 0.5 |
9,852,337 | 1 | 2 |
1. A method for assessing similarity of documents, comprising: extracting a reference document text and reference document metadata from a reference document; extracting an archived document text and archived document metadata from an archived document; quantifying the reference document, comprising: tokenizing sentences of the reference document; and vectorizing the tokenized sentences to obtain a reference document text vector for each sentence of the reference document; quantifying the archived document, comprising: tokenizing sentences of the archived document; and vectorizing the tokenized sentences to obtain an archived document text vector for each sentence of the archived document; determining a document similarity value of the quantified reference document and the quantified archived document, comprising: calculating a first plurality of vector similarity values for a plurality of combinations of a reference document text vector and an archived document text vector; calculating a second plurality of vector similarity values based on combinations of reference document metadata vectors that are based on the reference document metadata and archived document metadata vectors that are based on the archived document metadata; and calculating the document similarity value, comprising a sum of the first plurality of vector similarity values and a sum of the second plurality of vector similarity values.
|
1. A method for assessing similarity of documents, comprising: extracting a reference document text and reference document metadata from a reference document; extracting an archived document text and archived document metadata from an archived document; quantifying the reference document, comprising: tokenizing sentences of the reference document; and vectorizing the tokenized sentences to obtain a reference document text vector for each sentence of the reference document; quantifying the archived document, comprising: tokenizing sentences of the archived document; and vectorizing the tokenized sentences to obtain an archived document text vector for each sentence of the archived document; determining a document similarity value of the quantified reference document and the quantified archived document, comprising: calculating a first plurality of vector similarity values for a plurality of combinations of a reference document text vector and an archived document text vector; calculating a second plurality of vector similarity values based on combinations of reference document metadata vectors that are based on the reference document metadata and archived document metadata vectors that are based on the archived document metadata; and calculating the document similarity value, comprising a sum of the first plurality of vector similarity values and a sum of the second plurality of vector similarity values. 2. The method of claim 1 , wherein the reference document comprises at least one of: a text document, or a document comprising non-text content and text content, and wherein the archived document comprises at least one of: a text document, or a document comprising non-text content and text content.
| 0.808579 |
9,665,826 | 1 | 2 |
1. A method for inferring problem data from bug repositories, the method comprising; identifying a plurality of phrases that are repeated in a bug report; selecting a first phrase from the plurality of phrases to keep and a second phrase from the plurality of phrases to drop based on a meaning of the first phrase being greater in significance in the bug report than a meaning of the second phrase; mapping the first phrase to one or more of a plurality of classes of an ontology model associated with the bug report, the ontology model defining valid interactions between the plurality of classes; determining whether the first phrase corresponds to a valid interaction defined by the ontology model; and based on determining the first phrase corresponds to a valid interaction in the ontology model, generating an output corresponding to the mapping for use in analyzing the bug report.
|
1. A method for inferring problem data from bug repositories, the method comprising; identifying a plurality of phrases that are repeated in a bug report; selecting a first phrase from the plurality of phrases to keep and a second phrase from the plurality of phrases to drop based on a meaning of the first phrase being greater in significance in the bug report than a meaning of the second phrase; mapping the first phrase to one or more of a plurality of classes of an ontology model associated with the bug report, the ontology model defining valid interactions between the plurality of classes; determining whether the first phrase corresponds to a valid interaction defined by the ontology model; and based on determining the first phrase corresponds to a valid interaction in the ontology model, generating an output corresponding to the mapping for use in analyzing the bug report. 2. The method of claim 1 further comprising: querying a knowledge base using the first phrase; and receiving a query response from querying the knowledge base including receiving at least one of: a concept that identifies a problem, an action taken to resolve the problem, an activity performed during troubleshooting of the problem, a series of steps taken to arrive at a solution, or a conversation contained within the bug report.
| 0.5 |
4,450,520 | 7 | 8 |
7. The method of claim 6 wherein the indication of a successful match additionally includes an identifier for the specific element of the pattern that has been matched.
|
7. The method of claim 6 wherein the indication of a successful match additionally includes an identifier for the specific element of the pattern that has been matched. 8. The method of claim 7 wherein the elements of the pattern correspond to words and phrases, whereby the indication of a successful match signifies that a particular word or phrase occurs in a particular string of input characters.
| 0.5 |
9,922,352 | 1 | 6 |
1. A method, implemented by one or more processors in a computing system, for generating a multidimensional synopsis of a stream of textual data, the method comprising: accessing, by the one or more processors, a stream of textual data that includes a number of elements of textual data, each element of textual data comprising plain text content that is associated with an author and is directed to a particular subject; identifying, by the one or more processors, a first dimension and a second dimension for the stream of textual data, the first dimension including a number of concepts that each represent a subject attribute of the particular subject, the second dimension including a number of concepts that each represent an author attribute; processing, by the one or more processors, each of the number of elements of textual data to identify which of the concepts of the first and second dimension appear in the plain text content included in the element, and for each concept within the first dimension that appears in the plain text content included in the element, generating a quantitative value; and generating, by the one or more processors, the multidimensional synopsis of the stream of textual data by generating a score for each intersecting set of concepts from the corresponding quantitative values, each score representing a prevalence of the intersecting set of concepts within the stream of textual data.
|
1. A method, implemented by one or more processors in a computing system, for generating a multidimensional synopsis of a stream of textual data, the method comprising: accessing, by the one or more processors, a stream of textual data that includes a number of elements of textual data, each element of textual data comprising plain text content that is associated with an author and is directed to a particular subject; identifying, by the one or more processors, a first dimension and a second dimension for the stream of textual data, the first dimension including a number of concepts that each represent a subject attribute of the particular subject, the second dimension including a number of concepts that each represent an author attribute; processing, by the one or more processors, each of the number of elements of textual data to identify which of the concepts of the first and second dimension appear in the plain text content included in the element, and for each concept within the first dimension that appears in the plain text content included in the element, generating a quantitative value; and generating, by the one or more processors, the multidimensional synopsis of the stream of textual data by generating a score for each intersecting set of concepts from the corresponding quantitative values, each score representing a prevalence of the intersecting set of concepts within the stream of textual data. 6. The method of claim 1 , wherein the first dimension and second dimension and the concepts of each dimension are generated by analyzing the stream of textual data.
| 0.889706 |
9,720,898 | 15 | 16 |
15. The computer-implemented system of claim 10 , wherein the system is further programmed to determine that changes have been made in the document, identify one or more rows whose height could be affected by the changes, and mark the one or more rows in the cache as dirty, without immediately making a new determination of the heights of the one or more rows in the cache identified as dirty.
|
15. The computer-implemented system of claim 10 , wherein the system is further programmed to determine that changes have been made in the document, identify one or more rows whose height could be affected by the changes, and mark the one or more rows in the cache as dirty, without immediately making a new determination of the heights of the one or more rows in the cache identified as dirty. 16. The computer-implemented system of claim 15 , wherein the system is further programmed to, after multiple instances of determining that changes have been made in the document, and associated marking of identified rows as dirty, identify a batch of dirty rows, determine heights for each of the identified rows, and record the heights in the cache for the identified rows.
| 0.5 |
9,672,202 | 1 | 2 |
1. A method of re-formatting an input based on one or more contexts comprising: receiving the input that has been submitted to an application; identifying a plurality of outputs comprising possible suggestions for re-formatting the input; calculating a respective score of each output of the plurality of outputs by applying a statistical model to a respective combination of the input and each output, wherein a respective score of each output comprises a plurality of context scores that quantify a plurality of contexts of the respective combination of the input and each output; and wherein a context score of a context is calculated by applying a customizable weight assigned to the context to a frequency with which the input was previously re-formatted to the output when the context was applicable; selecting one or more suggested outputs from among the one or more outputs based on the respective scores; and providing the one or more suggested outputs as options to re-format the input.
|
1. A method of re-formatting an input based on one or more contexts comprising: receiving the input that has been submitted to an application; identifying a plurality of outputs comprising possible suggestions for re-formatting the input; calculating a respective score of each output of the plurality of outputs by applying a statistical model to a respective combination of the input and each output, wherein a respective score of each output comprises a plurality of context scores that quantify a plurality of contexts of the respective combination of the input and each output; and wherein a context score of a context is calculated by applying a customizable weight assigned to the context to a frequency with which the input was previously re-formatted to the output when the context was applicable; selecting one or more suggested outputs from among the one or more outputs based on the respective scores; and providing the one or more suggested outputs as options to re-format the input. 2. The method of claim 1 , wherein the plurality of contexts include a general-population context, a user-specific context, a user-group context, and a message-recipient context.
| 0.736686 |
9,792,914 | 27 | 36 |
27. A non-transitory computer-readable medium storing software comprising instructions executable by one or more computers which, upon such execution, cause the one or more computers to perform operations comprising: obtaining, by a first computing device that is configured to respond to voice commands while in a locked state upon receipt of a particular, predefined hotword, a value for a setting that indicates that the first computing device is permitted to provide speaker verification data to other computing devices; receiving, by the first computing device, audio data that corresponds to an utterance of a voice command that is preceded by the particular, predefined hotword, the audio data being received while the first computing device is in a locked state and is co-located with a second computing device that is also configured to respond to voice commands that are preceded by the particular, predefined hotword; while the first computing device is in the locked state, and based on the obtained value for the setting that indicates that the first computing device is permitted to share speaker verification data with other computing devices, transmitting, by the first computing device, a message to the second computing device that (i) is co-located with the first computing device and (ii) is configured to respond to voice commands that are preceded by the particular, predefined hotword; and determining, by the first computing device, to remain in the locked state and not respond to the voice command despite receiving the audio data that corresponds to the utterance of the voice command that is preceded by the particular, predefined hotword.
|
27. A non-transitory computer-readable medium storing software comprising instructions executable by one or more computers which, upon such execution, cause the one or more computers to perform operations comprising: obtaining, by a first computing device that is configured to respond to voice commands while in a locked state upon receipt of a particular, predefined hotword, a value for a setting that indicates that the first computing device is permitted to provide speaker verification data to other computing devices; receiving, by the first computing device, audio data that corresponds to an utterance of a voice command that is preceded by the particular, predefined hotword, the audio data being received while the first computing device is in a locked state and is co-located with a second computing device that is also configured to respond to voice commands that are preceded by the particular, predefined hotword; while the first computing device is in the locked state, and based on the obtained value for the setting that indicates that the first computing device is permitted to share speaker verification data with other computing devices, transmitting, by the first computing device, a message to the second computing device that (i) is co-located with the first computing device and (ii) is configured to respond to voice commands that are preceded by the particular, predefined hotword; and determining, by the first computing device, to remain in the locked state and not respond to the voice command despite receiving the audio data that corresponds to the utterance of the voice command that is preceded by the particular, predefined hotword. 36. The computer-readable medium of claim 27 , the operations comprising: generating, by the first computing device using a speaker verification model for a user of the first computing device, a speaker verification score that represents a likelihood the user of the first computing device spoke the utterance, wherein determining to remain in the locked state and not respond to the voice command comprises determining, by the first computing device, to remain in the locked state and not respond to the voice command despite receiving the audio data that corresponds to the utterance of the voice command that is preceded by the particular, predefined hotword using the speaker verification score that represents a likelihood the user of the first computing device spoke the utterance.
| 0.5 |
9,361,385 | 1 | 11 |
1. A system, comprising: a processor configured to: determine a topic based on a user demand, wherein determining the topic comprises: determine frequencies of phrases based on an analysis of a search query log from a web site, a search query log from a search engine, or a combination thereof; compare the frequencies of the phrases to a predetermined threshold; determine at least one theme based on phrases having frequencies exceeding the predetermined threshold; sort the at least one theme based on common words in the phrases; cluster the at least one theme; and determine the topic based on the clustered at least one theme; automatically generate content for the topic, wherein the content is configured or organized differently than on other web pages of the web site; and select the content that is contextually relevant for display within a corpus of content, wherein the corpus of content includes a web site, a user's social networking web page, content customized for mobile devices, content customized based on location awareness, or an electronic mail message; and a memory coupled to the processor and configured to provide the processor with instructions.
|
1. A system, comprising: a processor configured to: determine a topic based on a user demand, wherein determining the topic comprises: determine frequencies of phrases based on an analysis of a search query log from a web site, a search query log from a search engine, or a combination thereof; compare the frequencies of the phrases to a predetermined threshold; determine at least one theme based on phrases having frequencies exceeding the predetermined threshold; sort the at least one theme based on common words in the phrases; cluster the at least one theme; and determine the topic based on the clustered at least one theme; automatically generate content for the topic, wherein the content is configured or organized differently than on other web pages of the web site; and select the content that is contextually relevant for display within a corpus of content, wherein the corpus of content includes a web site, a user's social networking web page, content customized for mobile devices, content customized based on location awareness, or an electronic mail message; and a memory coupled to the processor and configured to provide the processor with instructions. 11. The system recited in claim 1 , wherein the processor is further configured to: analyze an external data source to determine the topic based on the user demand, wherein the external data source includes social networking resources associated with the web site and includes social networking resources that include content that is similar to content included on the web site.
| 0.56351 |
8,683,314 | 1 | 5 |
1. A method comprising: representing, by a processor, a group of document images using a plurality of visualizations that visualize document layout information for the group of document images based on one or more display device characteristics and based on content of the group of documents; and adapting, by the processor, the plurality of visualizations to an available display by removing one or more visualizations from the plurality of visualizations based on at least two functional values, wherein the plurality of visualizations are adapted to the available display utilizing a layout function to minimize a dissimilarity of each of the plurality of visualizations that fit into the available display, wherein the plurality of visualizations comprises an iconic tree representation of layout features of a document collection, wherein each icon in the iconic tree representation includes a first part that represents a geometric feature of a layout element and a second part that represents a content type of the layout element, and wherein adapting the plurality of visualizations comprises adapting the iconic tree representation by pruning one or more icon subtrees with a non-greedy selection that is based on a ratio determined from a plurality of tree functional values to create a pruned tree, wherein the plurality of tree functional values utilized by the non-greedy selection include, for each subtree, at least a real-valued distortion function value computed from a subtree considered with a real-valued resource function value computed for a width of an iconic representation of the subtree, and wherein the ratio utilized by the non-greedy selection is a ratio of a real-valued resource function value versus a real-valued distortion function value for a subtree.
|
1. A method comprising: representing, by a processor, a group of document images using a plurality of visualizations that visualize document layout information for the group of document images based on one or more display device characteristics and based on content of the group of documents; and adapting, by the processor, the plurality of visualizations to an available display by removing one or more visualizations from the plurality of visualizations based on at least two functional values, wherein the plurality of visualizations are adapted to the available display utilizing a layout function to minimize a dissimilarity of each of the plurality of visualizations that fit into the available display, wherein the plurality of visualizations comprises an iconic tree representation of layout features of a document collection, wherein each icon in the iconic tree representation includes a first part that represents a geometric feature of a layout element and a second part that represents a content type of the layout element, and wherein adapting the plurality of visualizations comprises adapting the iconic tree representation by pruning one or more icon subtrees with a non-greedy selection that is based on a ratio determined from a plurality of tree functional values to create a pruned tree, wherein the plurality of tree functional values utilized by the non-greedy selection include, for each subtree, at least a real-valued distortion function value computed from a subtree considered with a real-valued resource function value computed for a width of an iconic representation of the subtree, and wherein the ratio utilized by the non-greedy selection is a ratio of a real-valued resource function value versus a real-valued distortion function value for a subtree. 5. The method defined in claim 1 wherein the functional values measure geometric properties of the visualization and are characteristic of layout features of documents in the group.
| 0.758021 |
9,104,707 | 5 | 6 |
5. A non-transitory computer-readable storage medium having stored thereon instructions that, upon execution by a computing device, cause the computing device at least to: construct a first association between a first value extracted from a set of items and a first column name selected from a set of textual values that are ontologically related to one or more values in the set of items, the set of items comprising a key and one or more values associated with the key; select the first value for association with a different column name based at least in part on a semantic fit quality for the first value; and construct a second association between the first value and a second column name, the second column name selected by traversing a graph representative of ontological relationships between the first column name and one or more additional column names.
|
5. A non-transitory computer-readable storage medium having stored thereon instructions that, upon execution by a computing device, cause the computing device at least to: construct a first association between a first value extracted from a set of items and a first column name selected from a set of textual values that are ontologically related to one or more values in the set of items, the set of items comprising a key and one or more values associated with the key; select the first value for association with a different column name based at least in part on a semantic fit quality for the first value; and construct a second association between the first value and a second column name, the second column name selected by traversing a graph representative of ontological relationships between the first column name and one or more additional column names. 6. The non-transitory computer-readable storage medium of claim 5 , wherein the set of textual values is generated using a dictionary of ontologically related values.
| 0.805621 |
8,595,620 | 16 | 17 |
16. A document creation and management system comprising: a processor; a display in communication with the processor; a plurality of input devices in communication with the processor, the plurality of input devices including at least a keyboard and a microphone; a memory in communication with the processor, the memory comprising: an input subsystem module to receive input from a given user via the plurality of input devices to generate the content of a document, the content comprising one or more discrete entries, the input subsystem to present on the display a graphical user interface configured to receive the input and compose the input into an entry of the content of the document, the graphical user interface comprising: a navigator component presenting prompts and corresponding input controls organized according to a predefined template, the prompts and corresponding input controls to guide collection of input and guide composing of entries to create the content of the document, wherein the template comprises formatting rules defined by the given user, the input controls including a record input control and a type input control; a recorder to record input to compose into an entry in response to activation of the record input control; and a composer configured to receive data to compose the data into an entry in response to activation of the type input control; a document creation subsystem configured to generate the document using the one or more discrete entries created by the input subsystem; and a document storage subsystem configured to store the document, wherein the document is stored as the one or more discrete entries stored associated together.
|
16. A document creation and management system comprising: a processor; a display in communication with the processor; a plurality of input devices in communication with the processor, the plurality of input devices including at least a keyboard and a microphone; a memory in communication with the processor, the memory comprising: an input subsystem module to receive input from a given user via the plurality of input devices to generate the content of a document, the content comprising one or more discrete entries, the input subsystem to present on the display a graphical user interface configured to receive the input and compose the input into an entry of the content of the document, the graphical user interface comprising: a navigator component presenting prompts and corresponding input controls organized according to a predefined template, the prompts and corresponding input controls to guide collection of input and guide composing of entries to create the content of the document, wherein the template comprises formatting rules defined by the given user, the input controls including a record input control and a type input control; a recorder to record input to compose into an entry in response to activation of the record input control; and a composer configured to receive data to compose the data into an entry in response to activation of the type input control; a document creation subsystem configured to generate the document using the one or more discrete entries created by the input subsystem; and a document storage subsystem configured to store the document, wherein the document is stored as the one or more discrete entries stored associated together. 17. The document creation and management system of claim 16 , wherein the navigator further comprises an auto-insertion component to compose preconfigured data into an entry in response to activation of a click input control.
| 0.68663 |
7,925,652 | 9 | 12 |
9. A computer programmed to: identify a set of dissimilar reference character strings in a database utilizing an optimization search; compute a two-dimensional vector containing a frequency of occurrence of all unique n-grams in the candidate character string and all unique n-grams in one of the reference character strings for each of the reference character string; compute a similarity metric for the candidate character string, with respect to the reference character string, based on the two-dimensional vectors; determine a magnitude of the vector associated with the candidate character string as magnitude A; determine a magnitude of the vector associated with the reference character string as magnitude B; compute a dot product between the two vectors; compute the similarity metric according to (dot product/(magnitude A×magnitude B)); generate a binary index for each character string record stored within the database based on a comparison of an n-gram representation of a selected one of the character strings in the character string record and an n-gram representation of each of the set of dissimilar reference character strings, wherein an i-th bit of the binary index represents a degree of matching of the candidate string with the i-th reference character string; generate a binary index for a respective one of a candidate character string in a candidate character string record; for only each character string record stored within the database whose binary index exactly matches the binary index of the candidate character string, locate each character string record whose selected character string matches the respective character string of the candidate string record; and index the candidate character string record within the database based on the matching.
|
9. A computer programmed to: identify a set of dissimilar reference character strings in a database utilizing an optimization search; compute a two-dimensional vector containing a frequency of occurrence of all unique n-grams in the candidate character string and all unique n-grams in one of the reference character strings for each of the reference character string; compute a similarity metric for the candidate character string, with respect to the reference character string, based on the two-dimensional vectors; determine a magnitude of the vector associated with the candidate character string as magnitude A; determine a magnitude of the vector associated with the reference character string as magnitude B; compute a dot product between the two vectors; compute the similarity metric according to (dot product/(magnitude A×magnitude B)); generate a binary index for each character string record stored within the database based on a comparison of an n-gram representation of a selected one of the character strings in the character string record and an n-gram representation of each of the set of dissimilar reference character strings, wherein an i-th bit of the binary index represents a degree of matching of the candidate string with the i-th reference character string; generate a binary index for a respective one of a candidate character string in a candidate character string record; for only each character string record stored within the database whose binary index exactly matches the binary index of the candidate character string, locate each character string record whose selected character string matches the respective character string of the candidate string record; and index the candidate character string record within the database based on the matching. 12. A computer according to claim 9 wherein said computer is programmed to use a principal components factor analysis to identify a set of dissimilar reference character strings in the database.
| 0.735695 |
9,462,355 | 12 | 13 |
12. An apparatus for delivering a media source, the apparatus comprising: a processor; and a computer-readable medium storing a plurality of instructions which, when executed by the processor, cause the processor to perform operations, the operations comprising: determining a first plurality of keywords from a portion of the media source, wherein the first plurality of keywords is generated from a language analysis process on words collected from the portion of the media source; selecting a second keyword from the first plurality of keywords, wherein the selecting the second keyword comprises scoring each of the first plurality of keywords based on a source of each of the first plurality of keywords, wherein the second keyword is determined based upon one or more of the first plurality of keywords that have a score above a threshold; searching a memory to identify a reference item related to the media source based upon the second keyword, wherein the reference item is external to the media source; embedding the reference item into the media source; and delivering the media source embedded with the reference item to a customer premises.
|
12. An apparatus for delivering a media source, the apparatus comprising: a processor; and a computer-readable medium storing a plurality of instructions which, when executed by the processor, cause the processor to perform operations, the operations comprising: determining a first plurality of keywords from a portion of the media source, wherein the first plurality of keywords is generated from a language analysis process on words collected from the portion of the media source; selecting a second keyword from the first plurality of keywords, wherein the selecting the second keyword comprises scoring each of the first plurality of keywords based on a source of each of the first plurality of keywords, wherein the second keyword is determined based upon one or more of the first plurality of keywords that have a score above a threshold; searching a memory to identify a reference item related to the media source based upon the second keyword, wherein the reference item is external to the media source; embedding the reference item into the media source; and delivering the media source embedded with the reference item to a customer premises. 13. The apparatus of claim 12 , wherein the determining the first plurality of keywords determines whether the media source includes a closed caption text, decodes the closed caption text when the media source includes the closed caption text and extracts an audio signal and performing a speech-to-text conversion on the audio signal that is extracted when the media source does not include the closed caption text.
| 0.5 |
7,831,951 | 25 | 28 |
25. A method of designing an essentially digital system, the method comprising: generating a description of the functionality and timing of a digital system, the description comprising a plurality of tasks; determining trade-off task optimization information; and designing the essentially digital system based in part upon an optimized description, wherein non-deterministic behavior of the digital system is modeled by interacting the tasks, wherein each of the tasks describe part of the deterministic behavior of the digital system, wherein the method is executed on a processor-based system.
|
25. A method of designing an essentially digital system, the method comprising: generating a description of the functionality and timing of a digital system, the description comprising a plurality of tasks; determining trade-off task optimization information; and designing the essentially digital system based in part upon an optimized description, wherein non-deterministic behavior of the digital system is modeled by interacting the tasks, wherein each of the tasks describe part of the deterministic behavior of the digital system, wherein the method is executed on a processor-based system. 28. The method of claim 25 , wherein determining trade-off task optimization information comprises optimizing task concurrency in the description to obtain a task concurrency optimized description that includes partly trade-off task optimization information.
| 0.529197 |
7,917,460 | 16 | 18 |
16. A method for generating a decision network from a plurality of computer readable text documents, comprising: retrieving a given computer readable text document of the plurality of computer readable text documents from a memory of a computer system; reducing the given computer readable text document of the plurality of computer readable text documents into one or more text segments, the one or more text segments being stored in the memory; forming an evidence template in the memory for each of the one or more text segments, the forming comprising: identifying hedge words and qualifying words in the at least one text segment that relate to one or more words in the text segment, the one or more words comprising at least one of a noun, a pronoun and a verb; and assigning a confidence value to each identified hedge word and qualifying word in the at least one text segment, wherein each confidence value represents a degree of belief or disbelief for the one or more words related to each identified hedge word and qualifying word; and assigning each evidence template in the memory to one of a plurality of hypotheses stored in the memory by employing at least one classification technique, wherein each of the hypotheses are configured to define nodes in a given decision network generating a decision network from each evidence template and the plurality of hypotheses, such that each of the plurality hypotheses represent nodes in the decision network, wherein the decision network is stored in the memory; adding an additional hypothesis to the decision network that represents an additional node of the decision network, the additional hypothesis being associated with a previously generated decision network; and displaying the generated decision network to a user.
|
16. A method for generating a decision network from a plurality of computer readable text documents, comprising: retrieving a given computer readable text document of the plurality of computer readable text documents from a memory of a computer system; reducing the given computer readable text document of the plurality of computer readable text documents into one or more text segments, the one or more text segments being stored in the memory; forming an evidence template in the memory for each of the one or more text segments, the forming comprising: identifying hedge words and qualifying words in the at least one text segment that relate to one or more words in the text segment, the one or more words comprising at least one of a noun, a pronoun and a verb; and assigning a confidence value to each identified hedge word and qualifying word in the at least one text segment, wherein each confidence value represents a degree of belief or disbelief for the one or more words related to each identified hedge word and qualifying word; and assigning each evidence template in the memory to one of a plurality of hypotheses stored in the memory by employing at least one classification technique, wherein each of the hypotheses are configured to define nodes in a given decision network generating a decision network from each evidence template and the plurality of hypotheses, such that each of the plurality hypotheses represent nodes in the decision network, wherein the decision network is stored in the memory; adding an additional hypothesis to the decision network that represents an additional node of the decision network, the additional hypothesis being associated with a previously generated decision network; and displaying the generated decision network to a user. 18. The method of claim 16 , further comprising data mining the assigned evidence templates to determine link values associated with the plurality of hypotheses.
| 0.771307 |
9,754,046 | 8 | 14 |
8. A computer storage device encoding computer executable instructions which, when executed by one or more processors, cause the one or more processors to perform a method to generate a webpage using one or more terms in a hierarchical taxonomy of a content management system, the method comprising: accessing a term set having a hierarchical structure, wherein the term set comprises a first and second term; generating a first friendly uniform resource locator for the webpage using the first term, wherein the first term and the first friendly uniform resource locator are associated such that a change to the first term is automatically applied to the first friendly uniform resource locator, and wherein the first friendly uniform resource locator is mapped to a first physical uniform resource locator; generating a second friendly uniform resource locator for the webpage using the second term, wherein the second term and the second friendly uniform resource locator are associated such that a change to the second term is automatically applied to the second friendly uniform resource locator, and wherein the second friendly uniform resource locator is mapped to the first physical uniform resource locator; using the first physical uniform resource locator to generate a second physical uniform resource locator comprising a first set of term context parameters, the first set of term context parameters comprising a first set of term identifiers associated with the first term, wherein the first set of term identifiers are appended to the second physical uniform resource locator; and using the first physical uniform resource locator to generate a third physical uniform resource locator comprising a second set of term context parameters, the second set of term context parameters comprising a second set of term identifiers associated with the second term, wherein the second set of term identifiers are appended to the third physical uniform resource locator.
|
8. A computer storage device encoding computer executable instructions which, when executed by one or more processors, cause the one or more processors to perform a method to generate a webpage using one or more terms in a hierarchical taxonomy of a content management system, the method comprising: accessing a term set having a hierarchical structure, wherein the term set comprises a first and second term; generating a first friendly uniform resource locator for the webpage using the first term, wherein the first term and the first friendly uniform resource locator are associated such that a change to the first term is automatically applied to the first friendly uniform resource locator, and wherein the first friendly uniform resource locator is mapped to a first physical uniform resource locator; generating a second friendly uniform resource locator for the webpage using the second term, wherein the second term and the second friendly uniform resource locator are associated such that a change to the second term is automatically applied to the second friendly uniform resource locator, and wherein the second friendly uniform resource locator is mapped to the first physical uniform resource locator; using the first physical uniform resource locator to generate a second physical uniform resource locator comprising a first set of term context parameters, the first set of term context parameters comprising a first set of term identifiers associated with the first term, wherein the first set of term identifiers are appended to the second physical uniform resource locator; and using the first physical uniform resource locator to generate a third physical uniform resource locator comprising a second set of term context parameters, the second set of term context parameters comprising a second set of term identifiers associated with the second term, wherein the second set of term identifiers are appended to the third physical uniform resource locator. 14. The computer storage device of claim 8 , wherein the second term is associated with a plurality of items, and wherein each of the plurality of items have a property associated with the second term.
| 0.543182 |
10,104,232 | 8 | 11 |
8. A computer program product for question and answer generation, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to: ingest, through an instant messaging application, one or more original questions from one or more call center agents; ingest, through the instant messaging application, one or more answers from the one or more call center agents, the one or more answers associated with the one or more original questions; analyze, through a cognitive system, the one or more answers associated with the one or more original questions; incorporate the analysis of the one or more answers into the analysis of the one or more answers and the one or more original questions; receive, by one of the one or more call center agents, one or more additional questions from a customer to which the call center agent cannot answer; receive, through the instant messaging system, the one or more additional questions; determine, in real-time, one or more proposed answers to each additional question based on analysis of the one or more original questions and answers; determine, in real-time, a confidence score for each of the one or more proposed answers; if the confidence score of the proposed answer exceeds a confidence threshold, provide, in real-time, the proposed answer to the call center agent; receive, in real-time, through a feedback module, feedback on the proposed answer from one or more subject matter experts or call center managers; and incorporate, in real-time, the feedback into the analysis of the one or more original questions and the one or more additional questions.
|
8. A computer program product for question and answer generation, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to: ingest, through an instant messaging application, one or more original questions from one or more call center agents; ingest, through the instant messaging application, one or more answers from the one or more call center agents, the one or more answers associated with the one or more original questions; analyze, through a cognitive system, the one or more answers associated with the one or more original questions; incorporate the analysis of the one or more answers into the analysis of the one or more answers and the one or more original questions; receive, by one of the one or more call center agents, one or more additional questions from a customer to which the call center agent cannot answer; receive, through the instant messaging system, the one or more additional questions; determine, in real-time, one or more proposed answers to each additional question based on analysis of the one or more original questions and answers; determine, in real-time, a confidence score for each of the one or more proposed answers; if the confidence score of the proposed answer exceeds a confidence threshold, provide, in real-time, the proposed answer to the call center agent; receive, in real-time, through a feedback module, feedback on the proposed answer from one or more subject matter experts or call center managers; and incorporate, in real-time, the feedback into the analysis of the one or more original questions and the one or more additional questions. 11. The computer program product as recited in claim 8 , wherein the processor ingests, in real-time, through the instant messaging application, one or more answers provided by the one or more subject matter experts.
| 0.5 |
9,607,279 | 4 | 5 |
4. The method of claim 1 , wherein the audible input received is transcribed.
|
4. The method of claim 1 , wherein the audible input received is transcribed. 5. The method of claim 4 , wherein the audible input received is transcribed in real-time.
| 0.5 |
6,161,090 | 19 | 35 |
19. A method of controlling access of a speaker to one of a service and a facility from among a multiplicity of speaker candidates, the method comprising the steps of: (a) receiving first spoken utterances of the speaker, the first spoken utterances containing indicia of the speaker; (b) decoding the first spoken utterances; (c) generating a sub-list of speaker candidates that substantially match the speakers decoded spoken utterances; (d) activating databases respectively corresponding to the speaker candidates in the sub-list, the databases containing information respectively attributable to the speaker candidates; (e) performing a voice classification analysis on voice characteristics of the speaker; (f) eliminating speaker candidates who do not substantially match these characteristics; (g) querying the speaker with at least one question that is relevant to the information in the databases of speaker candidates remaining after the step (f); (h) further eliminating speaker candidates based on the accuracy of the answer provided by the speaker in response to the at least one question; (i) further performing the voice classification analysis on the voice characteristics from the answer provided by the speaker; (j) still further eliminating speaker candidates who do not substantially match these characteristics; and (k) iteratively repeating steps (g) through (j) until one of one speaker candidate and no speaker candidates remain, if one speaker candidate remains then permitting the speaker access and if no speaker candidate remains then denying the speaker access.
|
19. A method of controlling access of a speaker to one of a service and a facility from among a multiplicity of speaker candidates, the method comprising the steps of: (a) receiving first spoken utterances of the speaker, the first spoken utterances containing indicia of the speaker; (b) decoding the first spoken utterances; (c) generating a sub-list of speaker candidates that substantially match the speakers decoded spoken utterances; (d) activating databases respectively corresponding to the speaker candidates in the sub-list, the databases containing information respectively attributable to the speaker candidates; (e) performing a voice classification analysis on voice characteristics of the speaker; (f) eliminating speaker candidates who do not substantially match these characteristics; (g) querying the speaker with at least one question that is relevant to the information in the databases of speaker candidates remaining after the step (f); (h) further eliminating speaker candidates based on the accuracy of the answer provided by the speaker in response to the at least one question; (i) further performing the voice classification analysis on the voice characteristics from the answer provided by the speaker; (j) still further eliminating speaker candidates who do not substantially match these characteristics; and (k) iteratively repeating steps (g) through (j) until one of one speaker candidate and no speaker candidates remain, if one speaker candidate remains then permitting the speaker access and if no speaker candidate remains then denying the speaker access. 35. The method of claim 19, wherein at least a portion of the information contained in the databases comprises non-acoustic information corresponding to the speaker candidates, the non-acoustic information originating from sources other than the speaker candidates, the method further comprising the steps of: verifying the accuracy of the non-acoustic information contained in the databases against corresponding non-acoustic information obtained during the control of access of the speaker to one of the service and the facility; and yet further eliminating speaker candidates based on the accuracy of the verification.
| 0.5 |
9,442,982 | 1 | 4 |
1. A computer-implemented method comprising: ascertaining a number of words in a user-entered query; responsive to ascertaining that the user-entered query is not more than one word and begins with at least one protocol prefix, returning relevant results using a confident method, the confident method configured to strip the user-entered query of the protocol prefix in order to perform a prefix string match against a destination's stripped uniform resource locator (URL), the confident method configured to calculate the relevant results using RSS feeds and feed items metadata, the RSS feeds and feed items metadata in the confident method comprising at least two of a stripped URL, feed title, feed name, item title, item content, and item author; and responsive to ascertaining that the user-entered query is at least two words or that the user-entered query is one word and does not begin with the protocol prefix, returning relevant results using a search method that is different than the confident method, the search method configured to perform no changes to the user-entered query, use word breaking on words of the user-entered query, and calculate the relevant results using RSS feeds and feed items metadata, the RSS feeds and feed items metadata in the search method comprising at least two of a host, path and query, feed title, feed name, item title, item content, and item author.
|
1. A computer-implemented method comprising: ascertaining a number of words in a user-entered query; responsive to ascertaining that the user-entered query is not more than one word and begins with at least one protocol prefix, returning relevant results using a confident method, the confident method configured to strip the user-entered query of the protocol prefix in order to perform a prefix string match against a destination's stripped uniform resource locator (URL), the confident method configured to calculate the relevant results using RSS feeds and feed items metadata, the RSS feeds and feed items metadata in the confident method comprising at least two of a stripped URL, feed title, feed name, item title, item content, and item author; and responsive to ascertaining that the user-entered query is at least two words or that the user-entered query is one word and does not begin with the protocol prefix, returning relevant results using a search method that is different than the confident method, the search method configured to perform no changes to the user-entered query, use word breaking on words of the user-entered query, and calculate the relevant results using RSS feeds and feed items metadata, the RSS feeds and feed items metadata in the search method comprising at least two of a host, path and query, feed title, feed name, item title, item content, and item author. 4. The computer-implemented method of claim 1 , wherein the search method does not make changes to words of the user-entered query.
| 0.689573 |
9,632,999 | 1 | 3 |
1. A computer-implemented method for interpreting text segments based on word sense, the method comprising: parsing a text segment to generate one or more text-based words and related syntactic information; mapping, via a processor, each of the one or more text-based words to at least one concept included in a database and based on a semantic network that includes the at least one concept and one or more relevance ratings associated with the at least one concept, wherein each concept included in the semantic network is associated with a meaning and at least one word; generating a plurality of topics based on the mappings and the syntactic information, wherein each topic includes one or more of the concepts included in the semantic network; for each topic included in the plurality of topics, calculating a topic relevance rating between the topic and at least another topic included in the plurality of topics based on the relevance ratings between the one or more concepts included in the topic and one or more concepts included in the another topic; ranking the plurality of topics based on the topic relevance ratings to generate a ranked topic list; and outputting an element for display based on the ranked topic list.
|
1. A computer-implemented method for interpreting text segments based on word sense, the method comprising: parsing a text segment to generate one or more text-based words and related syntactic information; mapping, via a processor, each of the one or more text-based words to at least one concept included in a database and based on a semantic network that includes the at least one concept and one or more relevance ratings associated with the at least one concept, wherein each concept included in the semantic network is associated with a meaning and at least one word; generating a plurality of topics based on the mappings and the syntactic information, wherein each topic includes one or more of the concepts included in the semantic network; for each topic included in the plurality of topics, calculating a topic relevance rating between the topic and at least another topic included in the plurality of topics based on the relevance ratings between the one or more concepts included in the topic and one or more concepts included in the another topic; ranking the plurality of topics based on the topic relevance ratings to generate a ranked topic list; and outputting an element for display based on the ranked topic list. 3. The computer-implemented method of claim 1 , wherein mapping each of the one or more text-based words comprises performing one or more word sense disambiguation operations.
| 0.813433 |
8,478,841 | 1 | 7 |
1. A computer implemented method for managing electronically delivered information channels, comprising: receiving, by a computing device having a channel personalization engine, from one of a first subscriber device associated with a subscriber and a second subscriber device associated with the subscriber, via a computer network and internet connection, a selection of non-textual category data entered by the subscriber via an interface of one of the first subscriber device and the second subscriber device, and a plurality of subscriber interest category data entered by the subscriber via the interface of one of the first subscriber device and the second subscriber device; identifying content associated with the non-textual category data and content associated with the subscriber interest category data; creating, by the channel personalization engine, a subscriber channel associated with the subscriber and configured to stream at least a portion of the content associated with the non-textual category data to the subscriber via the computer network and internet connection, and the subscriber channel configured to stream at least a portion of the content associated with the subscriber interest category data to the subscriber via the computer network and internet connection to at least one of the first subscriber device and the second subscriber device, the subscriber channel including the content associated with the non-textual category data and including the content associated with the subscriber interest category data, wherein the subscriber channel is a customized subscriber channel of the subscriber created by the channel personalization engine at least in part responsive to the non-textual category data entered by the subscriber and the plurality of subscriber interest category data entered by the subscriber; streaming, through the subscriber channel from the channel personalization engine via the computer network and internet connection to the first subscriber device, the portion of the content associated with the non-textual category data to the subscriber in a first format configured for display on the first subscriber device; streaming, through the subscriber channel from the channel personalization engine to the second subscriber device, the portion of the content associated with the subscriber interest category data to the subscriber in a second format configured for display on the second subscriber device during a time period of continuous transmission of the content associated with the non-textual category data from the channel personalization engine to the subscriber in the first format configured for display on the first subscriber device; receiving, by the channel personalization engine via the computer network and internet connection from a first user device, data entered into an interface of the first user device including at least one of second non-textual category data and user interest category data, wherein the first user device is a different device than the first subscriber device and the second subscriber device; determining, by the channel personalization engine, that a first user associated with the first user device has an interest in a portion of content of the subscriber channel, the determining at least in part responsive to the non-textual category data and the user interest category data entered by the first user via the first user device; streaming the portion of content of the subscriber channel to the first user via the first user device; and restricting the first user device's access of the subscriber channel to the portion of the content of the subscriber channel in which the first user associated with the first user device is determined to have the interest.
|
1. A computer implemented method for managing electronically delivered information channels, comprising: receiving, by a computing device having a channel personalization engine, from one of a first subscriber device associated with a subscriber and a second subscriber device associated with the subscriber, via a computer network and internet connection, a selection of non-textual category data entered by the subscriber via an interface of one of the first subscriber device and the second subscriber device, and a plurality of subscriber interest category data entered by the subscriber via the interface of one of the first subscriber device and the second subscriber device; identifying content associated with the non-textual category data and content associated with the subscriber interest category data; creating, by the channel personalization engine, a subscriber channel associated with the subscriber and configured to stream at least a portion of the content associated with the non-textual category data to the subscriber via the computer network and internet connection, and the subscriber channel configured to stream at least a portion of the content associated with the subscriber interest category data to the subscriber via the computer network and internet connection to at least one of the first subscriber device and the second subscriber device, the subscriber channel including the content associated with the non-textual category data and including the content associated with the subscriber interest category data, wherein the subscriber channel is a customized subscriber channel of the subscriber created by the channel personalization engine at least in part responsive to the non-textual category data entered by the subscriber and the plurality of subscriber interest category data entered by the subscriber; streaming, through the subscriber channel from the channel personalization engine via the computer network and internet connection to the first subscriber device, the portion of the content associated with the non-textual category data to the subscriber in a first format configured for display on the first subscriber device; streaming, through the subscriber channel from the channel personalization engine to the second subscriber device, the portion of the content associated with the subscriber interest category data to the subscriber in a second format configured for display on the second subscriber device during a time period of continuous transmission of the content associated with the non-textual category data from the channel personalization engine to the subscriber in the first format configured for display on the first subscriber device; receiving, by the channel personalization engine via the computer network and internet connection from a first user device, data entered into an interface of the first user device including at least one of second non-textual category data and user interest category data, wherein the first user device is a different device than the first subscriber device and the second subscriber device; determining, by the channel personalization engine, that a first user associated with the first user device has an interest in a portion of content of the subscriber channel, the determining at least in part responsive to the non-textual category data and the user interest category data entered by the first user via the first user device; streaming the portion of content of the subscriber channel to the first user via the first user device; and restricting the first user device's access of the subscriber channel to the portion of the content of the subscriber channel in which the first user associated with the first user device is determined to have the interest. 7. The computer implemented method of claim 1 , wherein identifying content associated with the non-textual category data and content associated with the subscriber interest category data comprises: receiving the content associated with the selection of non-textual category data and the content associated with the subscriber interest category data from at least one database.
| 0.726812 |
10,146,318 | 1 | 10 |
1. A method, comprising: receiving with a computing device digital data representing a string of images, the images representing at least part of a user; processing the data using software to detect therefrom a string of gestures of the user, each gesture represented as a vector; mapping the vectors to a string of phonetic elements; and identifying one or more words in a written language, the one or more words corresponding to the string of the phonetic elements; wherein the written language is a one of a plurality of regional languages, mapping the vectors to the string of phonetic elements comprises selecting each phonetic element in the string of phonetic elements in a manner that is agnostic to any one of the plurality of regional languages, and identifying the one or more words comprises selecting a contextual dictionary specific to a selected one of the plurality of regional languages, the selected one corresponding to the written language, and translating the string of phonetic elements to the selected language; and wherein further each vector comprises a position in n-degree space, and wherein mapping further comprises translating the position in n-degree space to a position in m-degree space, where n>m, and selecting a phonetic element uniquely associated with the position in m-degree space, translating includes accessing a dictionary to map positions in n-degree space to corresponding positions in m-degree space, and the method further comprises using principal components analysis to adaptively learn the dictionary.
|
1. A method, comprising: receiving with a computing device digital data representing a string of images, the images representing at least part of a user; processing the data using software to detect therefrom a string of gestures of the user, each gesture represented as a vector; mapping the vectors to a string of phonetic elements; and identifying one or more words in a written language, the one or more words corresponding to the string of the phonetic elements; wherein the written language is a one of a plurality of regional languages, mapping the vectors to the string of phonetic elements comprises selecting each phonetic element in the string of phonetic elements in a manner that is agnostic to any one of the plurality of regional languages, and identifying the one or more words comprises selecting a contextual dictionary specific to a selected one of the plurality of regional languages, the selected one corresponding to the written language, and translating the string of phonetic elements to the selected language; and wherein further each vector comprises a position in n-degree space, and wherein mapping further comprises translating the position in n-degree space to a position in m-degree space, where n>m, and selecting a phonetic element uniquely associated with the position in m-degree space, translating includes accessing a dictionary to map positions in n-degree space to corresponding positions in m-degree space, and the method further comprises using principal components analysis to adaptively learn the dictionary. 10. The method of claim 1 , wherein at least one of processing the data and mapping the string of gestures to the string of phonetic elements comprises using a neural net to learn desired user phonetic selections responsive to unique gestures of a particular user.
| 0.5 |
7,542,934 | 3 | 4 |
3. The method of claim 2 further comprising: analyzing said data record array using said computer system to determine if said base is ready to breakout by determining if a current index has a value that is greater than a midpoint between said top of base and said bottom of base; determining a temporal value for said breakout using said computer comparing said temporal value of said top of base and said temporal value of said breakout using said computer system to generate a breakout temporal difference value; determining if said breakout temporal difference value is within a predetermined range to determine if a breakout has occurred using said computer system.
|
3. The method of claim 2 further comprising: analyzing said data record array using said computer system to determine if said base is ready to breakout by determining if a current index has a value that is greater than a midpoint between said top of base and said bottom of base; determining a temporal value for said breakout using said computer comparing said temporal value of said top of base and said temporal value of said breakout using said computer system to generate a breakout temporal difference value; determining if said breakout temporal difference value is within a predetermined range to determine if a breakout has occurred using said computer system. 4. The method of claim 3 wherein the process of providing constants to said computer system further comprises: providing a constant relating to a maximum percentage correction for a saucer base correction.
| 0.5 |
8,214,199 | 7 | 8 |
7. A computer system adapted to translate the meanings of a source sentence from an input language into an output language, comprising: a source sentence analyzer adapted to analyze meanings of the source sentence using linguistic descriptions of the source language and to construct a language-independent semantic structure to represent the meanings of the source sentence; and an output sentence synthesizer adapted to synthesize an output sentence to represent the meanings of the source sentence in an output language from the language-independent semantic structure using information from linguistic descriptions of the output language, wherein the output sentence synthesizer comprises a linear order synthesizer adapted to determine a linear order for and restore movements on the syntactic structure of the output sentence in the output language, wherein the output sentence analyzer is adapted to apply semantic structure correction rules to the language-independent semantic structure to overcome asymmetries between the language-independent semantic structure and the syntactic structure of the output sentence in the output language, wherein a surface structure of the output sentence is built at least in part based on ratings of syntactic constructions for elements of the source sentence, and wherein applying semantic structure correction rules to the language-independent semantic structure to overcome asymmetries includes the use of semanteme calculating rules and semanteme normalization rules to remove asymmetries.
|
7. A computer system adapted to translate the meanings of a source sentence from an input language into an output language, comprising: a source sentence analyzer adapted to analyze meanings of the source sentence using linguistic descriptions of the source language and to construct a language-independent semantic structure to represent the meanings of the source sentence; and an output sentence synthesizer adapted to synthesize an output sentence to represent the meanings of the source sentence in an output language from the language-independent semantic structure using information from linguistic descriptions of the output language, wherein the output sentence synthesizer comprises a linear order synthesizer adapted to determine a linear order for and restore movements on the syntactic structure of the output sentence in the output language, wherein the output sentence analyzer is adapted to apply semantic structure correction rules to the language-independent semantic structure to overcome asymmetries between the language-independent semantic structure and the syntactic structure of the output sentence in the output language, wherein a surface structure of the output sentence is built at least in part based on ratings of syntactic constructions for elements of the source sentence, and wherein applying semantic structure correction rules to the language-independent semantic structure to overcome asymmetries includes the use of semanteme calculating rules and semanteme normalization rules to remove asymmetries. 8. The computer system of claim 7 , wherein the source analyzer further comprises a lexical-morphological analyzer adapted to perform a lexical analysis and a lexical-morphological analysis on each element of the source sentence and generating a lexical-morphological structure of the source sentence.
| 0.66777 |
5,572,650 | 3 | 10 |
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. 10. The method as set forth in claim 3, further comprising the step of: displaying a memory layout view showing a memory layout of the selected relation and attributes of the selected relation in an active window.
| 0.827948 |
8,224,833 | 11 | 12 |
11. The apparatus of claim 10 , wherein the context correlation resource is configured for identifying the selected identified individuals and the selected data objects, relevant to the user context, from an information context identifying destinations in the system that are accessible by the individual.
|
11. The apparatus of claim 10 , wherein the context correlation resource is configured for identifying the selected identified individuals and the selected data objects, relevant to the user context, from an information context identifying destinations in the system that are accessible by the individual. 12. The apparatus of claim 11 , wherein the selected identified individuals specified in the ordered list of destination targets provide, for a given identified individual, a link to any one of: user profile information of the given identified individual, initiation of an IP Phone call to the given identified individual, meeting availability for the given identified individual, sending a message to given identified individual, accessing stored messages related to the given identified individual, or accessing stored documents related to the given identified individual.
| 0.5 |
8,543,384 | 15 | 16 |
15. A computer program product having program codes stored on a computer-readable storage device that, when executed by a computing device, causes the computing device to recognize an input signal entered via a user input interface, the program codes comprising: a core lexicon comprising commonly used words, wherein each of the commonly used words was selected for the core lexicon based on an associated frequency of use value for each word being above a pre-determined threshold, and wherein the frequency of use values are not based on candidate selections by the user; an extended lexicon comprising at least one word not contained in the core lexicon; a program code that, when executed by the computing device, causes the computing device to recognize words associated with the input signal; a program code that, when executed by the computing device, causes the computing device to output an output word associated with the input signal from the core lexicon; and a program code that, when executed by the computing device, causes the computing device to admit a candidate word associated with the input signal, from the extended lexicon to the core lexicon, upon a first selection of the candidate word by the user, to create an augmented core lexicon.
|
15. A computer program product having program codes stored on a computer-readable storage device that, when executed by a computing device, causes the computing device to recognize an input signal entered via a user input interface, the program codes comprising: a core lexicon comprising commonly used words, wherein each of the commonly used words was selected for the core lexicon based on an associated frequency of use value for each word being above a pre-determined threshold, and wherein the frequency of use values are not based on candidate selections by the user; an extended lexicon comprising at least one word not contained in the core lexicon; a program code that, when executed by the computing device, causes the computing device to recognize words associated with the input signal; a program code that, when executed by the computing device, causes the computing device to output an output word associated with the input signal from the core lexicon; and a program code that, when executed by the computing device, causes the computing device to admit a candidate word associated with the input signal, from the extended lexicon to the core lexicon, upon a first selection of the candidate word by the user, to create an augmented core lexicon. 16. The computer program product of claim 15 , further comprising a program code that, when executed by the computing device, causes the computing device to present candidate words associated with the input signal from at least one of the core lexicon and the extended lexicon, for selection by the user, and wherein the extended lexicon contains at least twice as many words as the core lexicon.
| 0.5 |
8,365,155 | 1 | 6 |
1. A system for facilitating the analysis of executable software code, the system comprising: a decompiler and analysis subsystem operating on a processor, the decompiler and analysis subsystem comprising; a loader for separating the executable software code into a code section and a data section; a library module for generating one or more signature files, wherein the signature files comprise a collection of software routines; and a static library identifier for comparing the code and data sections of the executable software code to the one or more signature files; and a graphical user interface rendered on a display device, the graphical user interface for (i) accepting user commands related to the modeling and analysis of the executable software code and (ii) displaying results of the comparison on the display device.
|
1. A system for facilitating the analysis of executable software code, the system comprising: a decompiler and analysis subsystem operating on a processor, the decompiler and analysis subsystem comprising; a loader for separating the executable software code into a code section and a data section; a library module for generating one or more signature files, wherein the signature files comprise a collection of software routines; and a static library identifier for comparing the code and data sections of the executable software code to the one or more signature files; and a graphical user interface rendered on a display device, the graphical user interface for (i) accepting user commands related to the modeling and analysis of the executable software code and (ii) displaying results of the comparison on the display device. 6. The system of claim 1 wherein the decompiler and analysis subsystem further comprises a variablizer for iteratively discovering variables contained in the executable software code.
| 0.688776 |
8,463,783 | 1 | 6 |
1. A computer-implemented method, comprising: accessing, by a data processing device, selection data for a plurality of advertisements, the selection data specifying search queries for which the advertisements were presented and user selections of the advertisements in response to the presentations; creating, by the data processing device, clusters of terms and corresponding advertisements based on the selection data, each of the clusters including multiple corresponding advertisements and each of the corresponding advertisements in each cluster having a respective term vector that is within a threshold distance of each other term vector for other corresponding advertisements in the cluster, each term vector for a corresponding advertisement specifying the search queries for which the corresponding advertisement was both presented to a user and selected by the user, the term vector also specifying advertiser-designated keywords for the corresponding advertisement that triggered presentations of the corresponding advertisement, wherein at least one of the advertiser-designated keywords is not included in text of the search queries, and wherein creating the clusters comprises determining cluster vectors for the clusters, each cluster vector for a respective cluster being an aggregate representation of term vectors for each of multiple corresponding advertisements in the respective cluster; computing, by the data processing device, similarity measures between pairs of the clusters, each similarity measure for a pair of clusters being based on a distance between a cluster vector for a first cluster of the pair and a cluster vector for a second cluster of the pair; receiving, by the data processing device, a request for data identified as relevant to specified text; in response to the request: identifying, from the clusters, a particular duster that includes a term matching the specified text; identifying, from the clusters, a co-relevant cluster for the particular cluster, the co-relevant cluster being identified based on the computed similarity measure between the particular cluster and the co-relevant cluster meeting a threshold similarity measure, the co-relevant cluster being a different cluster than the clusters that include the term matching the specified text; and providing, by the data processing device, data from the particular cluster and data from the co-relevant cluster.
|
1. A computer-implemented method, comprising: accessing, by a data processing device, selection data for a plurality of advertisements, the selection data specifying search queries for which the advertisements were presented and user selections of the advertisements in response to the presentations; creating, by the data processing device, clusters of terms and corresponding advertisements based on the selection data, each of the clusters including multiple corresponding advertisements and each of the corresponding advertisements in each cluster having a respective term vector that is within a threshold distance of each other term vector for other corresponding advertisements in the cluster, each term vector for a corresponding advertisement specifying the search queries for which the corresponding advertisement was both presented to a user and selected by the user, the term vector also specifying advertiser-designated keywords for the corresponding advertisement that triggered presentations of the corresponding advertisement, wherein at least one of the advertiser-designated keywords is not included in text of the search queries, and wherein creating the clusters comprises determining cluster vectors for the clusters, each cluster vector for a respective cluster being an aggregate representation of term vectors for each of multiple corresponding advertisements in the respective cluster; computing, by the data processing device, similarity measures between pairs of the clusters, each similarity measure for a pair of clusters being based on a distance between a cluster vector for a first cluster of the pair and a cluster vector for a second cluster of the pair; receiving, by the data processing device, a request for data identified as relevant to specified text; in response to the request: identifying, from the clusters, a particular duster that includes a term matching the specified text; identifying, from the clusters, a co-relevant cluster for the particular cluster, the co-relevant cluster being identified based on the computed similarity measure between the particular cluster and the co-relevant cluster meeting a threshold similarity measure, the co-relevant cluster being a different cluster than the clusters that include the term matching the specified text; and providing, by the data processing device, data from the particular cluster and data from the co-relevant cluster. 6. The method of claim 1 , wherein providing data comprises providing data suggesting resource keywords for a website, each suggested resource keyword having a relevance score for textual content of the website that meets a relevance threshold.
| 0.768939 |
10,157,171 | 3 | 4 |
3. The annotation assisting apparatus according to claim 2 , wherein the non-transitory computer readable medium stores a plurality of language knowledge rules; to estimate the candidate, the processor is further configured to: identify, for each identified position of the word, an expression including the identified position of the word and the predicate used for identifying the position of the word and matching one of the language knowledge rules stored in the non-transitory computer readable medium; and compare the extracted expressions and the language knowledge rule that matches the expression and store in the non-transitory computer readable medium, from among the expressions, an expression to be inserted to the identified position of the word, as a candidate of character sequence to be inserted to the identified position of the word.
|
3. The annotation assisting apparatus according to claim 2 , wherein the non-transitory computer readable medium stores a plurality of language knowledge rules; to estimate the candidate, the processor is further configured to: identify, for each identified position of the word, an expression including the identified position of the word and the predicate used for identifying the position of the word and matching one of the language knowledge rules stored in the non-transitory computer readable medium; and compare the extracted expressions and the language knowledge rule that matches the expression and store in the non-transitory computer readable medium, from among the expressions, an expression to be inserted to the identified position of the word, as a candidate of character sequence to be inserted to the identified position of the word. 4. The annotation assisting apparatus according to claim 3 , wherein to estimate the candidate, the processor is further configured to: search text included in existing annotated text database prepared in advance for a portion having an annotation related to anaphoric or anaphoric relation; and for each searched portion, modify a sentence in accordance with a manner determined in advance for each annotation, and storing the modified portion as a candidate annotation for the searched portion, in the non-transitory computer readable medium.
| 0.5 |
9,002,700 | 25 | 29 |
25. The method of claim 17 , further comprising a step of grammar checking the assembled corrected text prior to transmitting to the second computing device of the user.
|
25. The method of claim 17 , further comprising a step of grammar checking the assembled corrected text prior to transmitting to the second computing device of the user. 29. The method of claim 25 , wherein the human proofreaders are monitored for quality of proofreading.
| 0.706897 |
10,002,612 | 17 | 18 |
17. A computer-readable storage device storing instructions which, when executed by a processor, cause the processor to perform operations comprising: identifying a pair of anchor words separated from one another within a media presentation by a time greater than an anchor word time duration requirement; aligning a transcription of the media presentation with an automatic speech recognition output of the media presentation according to the pair of anchor words to yield an alignment; generating, by a caption generation module, captions at respective timings within the media presentation based on the alignment to yield generated captions; and outputting a modified media presentation based on the media presentation and the generated captions.
|
17. A computer-readable storage device storing instructions which, when executed by a processor, cause the processor to perform operations comprising: identifying a pair of anchor words separated from one another within a media presentation by a time greater than an anchor word time duration requirement; aligning a transcription of the media presentation with an automatic speech recognition output of the media presentation according to the pair of anchor words to yield an alignment; generating, by a caption generation module, captions at respective timings within the media presentation based on the alignment to yield generated captions; and outputting a modified media presentation based on the media presentation and the generated captions. 18. The computer-readable storage device of claim 17 , wherein a list of anchor word candidates further comprises a stop word list of words not to be considered as the pair of anchor words.
| 0.512887 |
9,076,182 | 19 | 20 |
19. The system of claim 18 , wherein determining, based on the statistical analysis, respective categorizations for the one or more identified web pages comprises: determining a respective plurality of scores for each web page in the one or more identified web pages, each score in the plurality of scores indicating a confidence that the web page corresponds to a particular category; determining, for each web page in the one or more identified web pages, whether a score in the respective plurality of scores satisfies a threshold; and in response to determining that a score in the respective plurality of scores for a web page satisfies a threshold, associating the web page in the one or more web pages with a particular category corresponding to the score.
|
19. The system of claim 18 , wherein determining, based on the statistical analysis, respective categorizations for the one or more identified web pages comprises: determining a respective plurality of scores for each web page in the one or more identified web pages, each score in the plurality of scores indicating a confidence that the web page corresponds to a particular category; determining, for each web page in the one or more identified web pages, whether a score in the respective plurality of scores satisfies a threshold; and in response to determining that a score in the respective plurality of scores for a web page satisfies a threshold, associating the web page in the one or more web pages with a particular category corresponding to the score. 20. The system of claim 19 , further comprising: in response to determining that no score in the respective plurality of scores for a web page satisfy a threshold, providing the web page to a user for manual categorization; and associating the web page with a category specified by the user.
| 0.5 |
9,367,522 | 1 | 3 |
1. A method for editing an electronic presentation, the method comprising: providing an electronic presentation editing interface for editing an electronic presentation, wherein the interface comprises: a digital canvas comprising a plurality of canvas objects in a plurality of canvas layers; a digital timeline comprising a plurality of timeline objects, a time axis, and a graphical indicia on the time axis that represents a pause in the electronic presentation, wherein: each canvas object in the plurality of canvas objects is linked to a respective timeline object; a position of a timeline object on the digital timeline is indicative of a time and a canvas layer that a linked canvas object is displayed on the digital canvas; the position of the timeline object includes a first time coordinate on the time axis indicative of when the linked canvas object appears in the digital canvas, a second time coordinate on the time axis indicative of when the linked canvas object disappears from the digital canvas, and a layer coordinate indicative of a canvas layer in which the linked canvas object appears in the digital canvas; the graphical indicia extends over all layer coordinates that are displayed in the digital timeline; and the digital timeline further comprises a marker on the digital timeline, wherein a position of the marker is indicative of a time corresponding to a current view of the digital canvas, and wherein when the position of the marker coincides with the graphical indicia on the time axis, each canvas object linked to a timeline object that coincides with the position of the marker is paused.
|
1. A method for editing an electronic presentation, the method comprising: providing an electronic presentation editing interface for editing an electronic presentation, wherein the interface comprises: a digital canvas comprising a plurality of canvas objects in a plurality of canvas layers; a digital timeline comprising a plurality of timeline objects, a time axis, and a graphical indicia on the time axis that represents a pause in the electronic presentation, wherein: each canvas object in the plurality of canvas objects is linked to a respective timeline object; a position of a timeline object on the digital timeline is indicative of a time and a canvas layer that a linked canvas object is displayed on the digital canvas; the position of the timeline object includes a first time coordinate on the time axis indicative of when the linked canvas object appears in the digital canvas, a second time coordinate on the time axis indicative of when the linked canvas object disappears from the digital canvas, and a layer coordinate indicative of a canvas layer in which the linked canvas object appears in the digital canvas; the graphical indicia extends over all layer coordinates that are displayed in the digital timeline; and the digital timeline further comprises a marker on the digital timeline, wherein a position of the marker is indicative of a time corresponding to a current view of the digital canvas, and wherein when the position of the marker coincides with the graphical indicia on the time axis, each canvas object linked to a timeline object that coincides with the position of the marker is paused. 3. The method of claim 1 , wherein the time on the time axis corresponds to an amount of time since a start of the electronic presentation.
| 0.882601 |
7,523,076 | 2 | 4 |
2. The method of claim 1 , further comprising: obtaining a measured diffraction signal from an optical metrology device; and analyzing the simulated diffraction signal and the measured diffraction signal.
|
2. The method of claim 1 , further comprising: obtaining a measured diffraction signal from an optical metrology device; and analyzing the simulated diffraction signal and the measured diffraction signal. 4. The method of claim 2 , wherein the one or more termination criteria includes a preset goodness of fit (GOF) value determined based on the analysis of the simulated and measured diffraction signals.
| 0.5 |
8,843,493 | 13 | 23 |
13. A system for comparing documents, comprising: a processor; a text analyzer executing on the processor and configured to: extract a plurality of extracted elements from a first formatted document, wherein each of the plurality of extracted elements corresponds to a text element of the first formatted document, wherein the plurality of extracted elements comprises at least one selected from a group consisting of a plurality of words and a plurality of word lengths; a fingerprint extractor executing on the processor and configured to: extract a first plurality of text fingerprints from a sequence of the plurality of extracted elements to form a first text feature of the first formatted document, wherein the first plurality of text fingerprints comprises at least one selected from a group consisting of a plurality of word n-grams and a plurality of word length n-grams, wherein the first text feature comprises at least one selected from a group consisting of a first text content feature based on the plurality of word n-grams and a first text geometric feature based on the plurality of word length n-grams; a comparison module executing on the processor and configured to: compare the first text feature and a second text feature of a second formatted document to generate a comparison result, wherein the second text feature comprises at least one selected from a group consisting of a second text content feature and a second text geometric feature, wherein the comparison result comprises at least one selected from a group consisting of a text content match rate between the first and second text content features and a text geometric match rate between the first and second text geometric features; and determine, in response to the comparison result meeting a pre-determined criterion, that each of the first formatted document and the second formatted document contains a common text content, wherein the comparison result meeting the pre-determined criterion is based on at least one selected from a group consisting of the text content match rate and the text geometric match rate exceeding a pre-determined threshold; and a repository couple to the processor and configured to store the first formatted document, the plurality of extracted elements, first text feature, and second text feature.
|
13. A system for comparing documents, comprising: a processor; a text analyzer executing on the processor and configured to: extract a plurality of extracted elements from a first formatted document, wherein each of the plurality of extracted elements corresponds to a text element of the first formatted document, wherein the plurality of extracted elements comprises at least one selected from a group consisting of a plurality of words and a plurality of word lengths; a fingerprint extractor executing on the processor and configured to: extract a first plurality of text fingerprints from a sequence of the plurality of extracted elements to form a first text feature of the first formatted document, wherein the first plurality of text fingerprints comprises at least one selected from a group consisting of a plurality of word n-grams and a plurality of word length n-grams, wherein the first text feature comprises at least one selected from a group consisting of a first text content feature based on the plurality of word n-grams and a first text geometric feature based on the plurality of word length n-grams; a comparison module executing on the processor and configured to: compare the first text feature and a second text feature of a second formatted document to generate a comparison result, wherein the second text feature comprises at least one selected from a group consisting of a second text content feature and a second text geometric feature, wherein the comparison result comprises at least one selected from a group consisting of a text content match rate between the first and second text content features and a text geometric match rate between the first and second text geometric features; and determine, in response to the comparison result meeting a pre-determined criterion, that each of the first formatted document and the second formatted document contains a common text content, wherein the comparison result meeting the pre-determined criterion is based on at least one selected from a group consisting of the text content match rate and the text geometric match rate exceeding a pre-determined threshold; and a repository couple to the processor and configured to store the first formatted document, the plurality of extracted elements, first text feature, and second text feature. 23. The system of claim 13 , wherein the first and second text geometric features are extracted in response to determining that the text content match rate is less than the pre-determined threshold.
| 0.813208 |
8,049,093 | 2 | 3 |
2. The method of claim 1 further comprising the steps of: determining a distance between the pitch contour from the audible query and a pitch contour of an audible target starting at a location taken from the plurality of locations; and repeating the step of determining the distance for the plurality of locations of best-matched portions, resulting in a plurality of distances.
|
2. The method of claim 1 further comprising the steps of: determining a distance between the pitch contour from the audible query and a pitch contour of an audible target starting at a location taken from the plurality of locations; and repeating the step of determining the distance for the plurality of locations of best-matched portions, resulting in a plurality of distances. 3. The method of claim 2 wherein the distance comprises a minimum distance over many possible warping paths, determined by a segmental dynamic time warping algorithm.
| 0.585 |
7,881,924 | 37 | 38 |
37. A method in accordance with claim 35 wherein: the output communication indicates that the person should be studied.
|
37. A method in accordance with claim 35 wherein: the output communication indicates that the person should be studied. 38. A method in accordance with claim 37 wherein: the output communication regards at least one of the psychological state of the person represented by the at least one communication originated by the person and an investigation of the psychological state of the person represented by the at least one communication.
| 0.5 |
9,502,031 | 20 | 21 |
20. The system of claim 19 , wherein the one or more entities comprise a list of user contacts.
|
20. The system of claim 19 , wherein the one or more entities comprise a list of user contacts. 21. The system of claim 20 , wherein the indication of user interaction comprises a frequency of interaction with a contact in the list of user contacts.
| 0.5 |
9,189,143 | 1 | 2 |
1. A method for incorporating a social networking feature in a conferencing system, the method comprising: a conferencing server establishing an audio conference between a plurality of participants in an online conference via computing devices connected via a communication network; the conferencing server presenting to the computing devices a conference user interface during and associated with the audio conference, the conference user interface displaying an interactive participant object uniquely identifying only each of the participants in the audio conference, each of the interactive participant objects comprising a first display mode and a second display mode, the first display mode for displaying a unique graphical representation and participant profile information associated with the corresponding participant in a first display face, the second display mode being triggered by selection of the interactive participant object by one or more of the other participants during the audio conference and comprising one or more additional display faces simultaneously displayed adjacent the first display face and for displaying social networking content from one or more social networking accounts linked to the corresponding participant, wherein the interactive participant objects further comprise a user interface control for enabling the corresponding participant identified by the associated interactive participant object to configure the social networking content displayed in the one or more additional display faces to the one or more of the other participants upon selection of the interactive participant object; a social networking server authenticating the social networking accounts; during the audio conference, the conferencing user interface presenting the interactive participant objects in the first display mode in which the first display faces are displayed and the second display faces are not displayed; and the conferencing server enabling a first participant to select the interactive participant object associated with a second participant and, in response to the selection by the first participant, the conferencing server modifying only the conference user interface presented to the first participant by presenting the selected interactive participant object associated with the second participant in the second display mode.
|
1. A method for incorporating a social networking feature in a conferencing system, the method comprising: a conferencing server establishing an audio conference between a plurality of participants in an online conference via computing devices connected via a communication network; the conferencing server presenting to the computing devices a conference user interface during and associated with the audio conference, the conference user interface displaying an interactive participant object uniquely identifying only each of the participants in the audio conference, each of the interactive participant objects comprising a first display mode and a second display mode, the first display mode for displaying a unique graphical representation and participant profile information associated with the corresponding participant in a first display face, the second display mode being triggered by selection of the interactive participant object by one or more of the other participants during the audio conference and comprising one or more additional display faces simultaneously displayed adjacent the first display face and for displaying social networking content from one or more social networking accounts linked to the corresponding participant, wherein the interactive participant objects further comprise a user interface control for enabling the corresponding participant identified by the associated interactive participant object to configure the social networking content displayed in the one or more additional display faces to the one or more of the other participants upon selection of the interactive participant object; a social networking server authenticating the social networking accounts; during the audio conference, the conferencing user interface presenting the interactive participant objects in the first display mode in which the first display faces are displayed and the second display faces are not displayed; and the conferencing server enabling a first participant to select the interactive participant object associated with a second participant and, in response to the selection by the first participant, the conferencing server modifying only the conference user interface presented to the first participant by presenting the selected interactive participant object associated with the second participant in the second display mode. 2. The method of claim 1 , wherein the second display mode comprises displaying the second display face as an expandable display face.
| 0.845977 |
8,401,314 | 3 | 4 |
3. The method of claim 1 , wherein the step of generating the at least two candidate words comprises the step of: selecting the at least two candidate words from the word corpus by fuzzy logic, wherein if an error is detected in a candidate word, then the candidate word can be tested again after substituting in turn each character of the received sequential string of characters with an adjacent letter from the input device.
|
3. The method of claim 1 , wherein the step of generating the at least two candidate words comprises the step of: selecting the at least two candidate words from the word corpus by fuzzy logic, wherein if an error is detected in a candidate word, then the candidate word can be tested again after substituting in turn each character of the received sequential string of characters with an adjacent letter from the input device. 4. The method of claim 3 , wherein the step of selecting the at least two candidate words from the word corpus by fuzzy logic utilizes user preferences, and wherein user preferences are generated from past user behavior.
| 0.5 |
9,892,367 | 13 | 16 |
13. A system for processing a corpus of documents having a multi-level transitive linkage structure with other documents, comprising: a memory configured to store a computer-implemented generative model dependent on at least parameters estimated by probabilistic inference, which models a content of each respective document in the document database as at least a mixture weighting of an intrinsic content of each respective document and a content of documents related to the respective document through multi-level transitive linkage structure, to represent the content of each respective document as at least a mixture over latent topics having topic distributions which are a mixture of distributions associated with documents related to the respective document through multi-level transitive linkage structure; a human-machine interface; and at least one automated processor configured to: at least one of represent, characterize, cluster, summarize, index, rank, and search the documents in the corpus of documents with at least one automated processor based on at least the computer-implemented generative model; control the human machine interface to receive a user input; and selectively dependent on the user input and the at least one of represent, characterize, cluster, summarize, index, rank, and search of the documents in the corpus of documents, output a representation of a relationship of a plurality of respective documents.
|
13. A system for processing a corpus of documents having a multi-level transitive linkage structure with other documents, comprising: a memory configured to store a computer-implemented generative model dependent on at least parameters estimated by probabilistic inference, which models a content of each respective document in the document database as at least a mixture weighting of an intrinsic content of each respective document and a content of documents related to the respective document through multi-level transitive linkage structure, to represent the content of each respective document as at least a mixture over latent topics having topic distributions which are a mixture of distributions associated with documents related to the respective document through multi-level transitive linkage structure; a human-machine interface; and at least one automated processor configured to: at least one of represent, characterize, cluster, summarize, index, rank, and search the documents in the corpus of documents with at least one automated processor based on at least the computer-implemented generative model; control the human machine interface to receive a user input; and selectively dependent on the user input and the at least one of represent, characterize, cluster, summarize, index, rank, and search of the documents in the corpus of documents, output a representation of a relationship of a plurality of respective documents. 16. The method according to claim 13 , wherein the multi-level transitive citation structure comprises at least one of citations, authors, cross references, and hyperlinks.
| 0.716172 |
9,710,468 | 7 | 8 |
7. The method of claim 1 , further comprising receiving a selection of a first social media content item from among the at least a portion of the first plurality of social media content items displayed in the user interface and wherein generating a second query is further based on the selection of the first social media content item.
|
7. The method of claim 1 , further comprising receiving a selection of a first social media content item from among the at least a portion of the first plurality of social media content items displayed in the user interface and wherein generating a second query is further based on the selection of the first social media content item. 8. The method of claim 7 , wherein the selection of the first social media content item indicates positive feedback associated with the first social media content item, and further comprising identifying one or more additional social media content items that are associated with the second query and that share a common attribute with the first social media content item.
| 0.5 |
9,635,312 | 21 | 22 |
21. The processor-implemented method of claim 20 , further comprising: executing processing instructions for transmitting the audio-visual content to a computer of a session observer; executing processing instructions for starting, stopping, pausing, resuming, rewinding, fast-forwarding, storing and playback of the take and the audiovisual material presented to the talent on the talent computer during the takes in synchronization with each other on the talent computer, and executing processing instructions for synchronizing such starting, stopping, pausing, resuming, rewinding, fast-forwarding, storing and playback in real-time between the talent computer and at least one of the participant computer and the computer of the session observer.
|
21. The processor-implemented method of claim 20 , further comprising: executing processing instructions for transmitting the audio-visual content to a computer of a session observer; executing processing instructions for starting, stopping, pausing, resuming, rewinding, fast-forwarding, storing and playback of the take and the audiovisual material presented to the talent on the talent computer during the takes in synchronization with each other on the talent computer, and executing processing instructions for synchronizing such starting, stopping, pausing, resuming, rewinding, fast-forwarding, storing and playback in real-time between the talent computer and at least one of the participant computer and the computer of the session observer. 22. The method of claim 21 , wherein the take and the audiovisual files are automatically deleted from at least one of the talent computer and the computer of the session observer at a time specified by the participant by receiving a command from the participant computer over the data communication network.
| 0.5 |
5,510,981 | 14 | 15 |
14. A method as claimed in claim 13, characterized in that each target hypothesis comprises a series of target words selected from a vocabulary comprising words in the second language and a null word representing the absence of a word.
|
14. A method as claimed in claim 13, characterized in that each target hypothesis comprises a series of target words selected from a vocabulary comprising words in the second language and a null word representing the absence of a word. 15. A method as claimed in claim 14, characterized in that: the step of identifying at least one alignment comprises identifying two or more alignments between the input series of source words and each target hypothesis, each alignment connecting each source word with at least one target word in the target hypothesis; the step of generating a word match score comprises generating, for each source word and each alignment and each target hypothesis, a word match score comprising an estimate of the conditional probability of occurrence of the source word, given the target word in the target hypothesis which is connected to the source word and given the context of the target word in the target hypothesis which is connected to the source word; the step of generating a translation match score comprises generating, for each target hypothesis, a translation match score comprising a combination of the word match scores for the target hypothesis and the alignments and the source words in the input series of source words.
| 0.604472 |
8,583,580 | 1 | 4 |
1. A computer-implemented method for extracting meaning from a plurality of documents, the method comprising: identifying, by a computer, a meaning taxonomy including a plurality of selected concepts; identifying a group of syntactic structures including at least one syntactic structure; associating at least one of the group of syntactic structures with at least one selected concept of the plurality of selected concepts; applying at least one expert rule selected from a group of expert rules to at least one document of the plurality of documents, the group of expert rules being associated with the at least one selected concept, the at least one expert rule including a plurality of logical propositions, at least one logical proposition of the plurality of logical propositions including an evaluation of whether an association exists between one or more of the group of syntactic structures associated with the at least one selected concept and one or more syntactic structures included in the at least one document of the plurality of documents; and associating, responsive to existence of the association, the at least one document of the plurality of documents with the at least one selected concept of the plurality of selected concepts.
|
1. A computer-implemented method for extracting meaning from a plurality of documents, the method comprising: identifying, by a computer, a meaning taxonomy including a plurality of selected concepts; identifying a group of syntactic structures including at least one syntactic structure; associating at least one of the group of syntactic structures with at least one selected concept of the plurality of selected concepts; applying at least one expert rule selected from a group of expert rules to at least one document of the plurality of documents, the group of expert rules being associated with the at least one selected concept, the at least one expert rule including a plurality of logical propositions, at least one logical proposition of the plurality of logical propositions including an evaluation of whether an association exists between one or more of the group of syntactic structures associated with the at least one selected concept and one or more syntactic structures included in the at least one document of the plurality of documents; and associating, responsive to existence of the association, the at least one document of the plurality of documents with the at least one selected concept of the plurality of selected concepts. 4. The method according to claim 1 , wherein identifying a group of syntactic structures comprises identifying a phrase.
| 0.929907 |
8,600,758 | 2 | 3 |
2. The method of claim 1 , further comprising comparing the stored speech signal with the smooth speech signal to detect at least one speaker-specific stutter pattern.
|
2. The method of claim 1 , further comprising comparing the stored speech signal with the smooth speech signal to detect at least one speaker-specific stutter pattern. 3. The method of claim 2 , further comprising providing feedback related to the at least one speaker-specific stutter pattern as a speaker-specific profile.
| 0.5 |
8,661,027 | 2 | 7 |
2. A method as recited in claim 1 , further comprising: transmitting the final query result to a user; generating a log based on the user query and the user's clicking operations in response to the final query result; generating a second category model from statistical analysis of data in the log; and updating the category model warehouse with the second category model.
|
2. A method as recited in claim 1 , further comprising: transmitting the final query result to a user; generating a log based on the user query and the user's clicking operations in response to the final query result; generating a second category model from statistical analysis of data in the log; and updating the category model warehouse with the second category model. 7. A method as recited in claim 2 , wherein the generating the log based on the user query and the user's clicking operations in response to the final query result comprises: obtaining data on the user's clicking operations with respect to a plurality of commodity categories, attribute categories corresponding to the plurality of commodity categories, and commodities in response to the final query result; generating the log based on the data on the user's clicking operations, the log comprising the user query and clicking information, the clicking information comprising a commodity category and an attribute category of a commodity clicked on by the user, a commodity category clicked on by the user, and a attribute category clicked on by the user; and storing the generated log.
| 0.603327 |
8,679,015 | 1 | 3 |
1. An interactive television system configured to allow monitoring of at least one individual, the interactive television system comprising: a communication interface for establishing a communication link between the interactive television system and a server remotely situated from the interactive television system through at least one communication medium; a display for presenting (i) one or more queries and one or more predefined response choices corresponding to the one or more queries provided by a script program received from said server, wherein said script program includes (a) general information, (b) information specific to said individual, and (c) a message corresponding to said individual from a health care professional associated with said individual and (ii) entertainment or advertisement content received from the server through the at least one communication medium, wherein said one or more queries, said one or more predefined response choices, and said message from said script program are displayed along with said entertainment or advertisement content received from said server; a user interface for receiving responses to the one or more queries selected from said one or more predefined response choices by the at least one individual; a processing unit connected to the communication interface, the display and the user interface, wherein the processing unit comprises a non-transitory computer readable medium initialized with a unique identification code for the at least one individual by the healthcare professional prior to the at least one individual receiving the processor unit and the processor unit is configured to execute the script program to (i) present the one or more queries and the one or more predefined response choices on the display, (ii) receive the responses from the user interface, and (iii) transmit the responses to the server through the at least one communication medium, wherein said processor unit is further configured to send said unique identification code for the at least one individual to said server in order to receive said script program and said script program includes a program identifier received from said server by said processing unit and said program identifier (a) is transmitted back to said server with said responses and (b) causes said server to associate said responses with said script program sent by said server to said processing unit; and a device interface connected to the processing unit and configured for receiving measurements from at least one glucose monitoring device, wherein the at least one monitoring device is adapted for producing measurements of a blood glucose level of the at least one individual.
|
1. An interactive television system configured to allow monitoring of at least one individual, the interactive television system comprising: a communication interface for establishing a communication link between the interactive television system and a server remotely situated from the interactive television system through at least one communication medium; a display for presenting (i) one or more queries and one or more predefined response choices corresponding to the one or more queries provided by a script program received from said server, wherein said script program includes (a) general information, (b) information specific to said individual, and (c) a message corresponding to said individual from a health care professional associated with said individual and (ii) entertainment or advertisement content received from the server through the at least one communication medium, wherein said one or more queries, said one or more predefined response choices, and said message from said script program are displayed along with said entertainment or advertisement content received from said server; a user interface for receiving responses to the one or more queries selected from said one or more predefined response choices by the at least one individual; a processing unit connected to the communication interface, the display and the user interface, wherein the processing unit comprises a non-transitory computer readable medium initialized with a unique identification code for the at least one individual by the healthcare professional prior to the at least one individual receiving the processor unit and the processor unit is configured to execute the script program to (i) present the one or more queries and the one or more predefined response choices on the display, (ii) receive the responses from the user interface, and (iii) transmit the responses to the server through the at least one communication medium, wherein said processor unit is further configured to send said unique identification code for the at least one individual to said server in order to receive said script program and said script program includes a program identifier received from said server by said processing unit and said program identifier (a) is transmitted back to said server with said responses and (b) causes said server to associate said responses with said script program sent by said server to said processing unit; and a device interface connected to the processing unit and configured for receiving measurements from at least one glucose monitoring device, wherein the at least one monitoring device is adapted for producing measurements of a blood glucose level of the at least one individual. 3. The interactive television system according to claim 1 , wherein the processing unit comprises a satellite broadcast receiver set-top box, the display comprises a television set and the user interface comprises a remote control apparatus.
| 0.766473 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.