Patents by Inventor Linda M. Boyer
Linda M. Boyer has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11093835Abstract: Methods, computer program products and systems for generating at least one factual question from a set of seed questions and answer pairs. One method includes: obtaining at least one seed question and answer pair from the set of seed question and answer pairs; extracting a set of features associated with the at least one seed question and answer pair using at least one common analysis system (CAS) in a set of CASs and a specific knowledge base; generating a set of candidate questions from the extracted set of features using a logistic regression algorithm and the specific knowledge base; and ranking each candidate question relative to a remainder of candidate questions in the set of candidate questions based on the extracted set of features and the at least one seed question and answer pair.Type: GrantFiled: November 22, 2016Date of Patent: August 17, 2021Assignee: International Business Machines CorporationInventors: Aaron K. Baughman, Linda M. Boyer, Wesley T. Chuang, Meilan Ding, William R. Gee, Palani Sakthi
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Patent number: 10192543Abstract: A method (300) and system (100) is provided to add the creation of examples at a developer level in the generation of Natural Language Understanding (NLU) models, tying the examples into a NLU sentence database (130), automatically validating (310) a correct outcome of using the examples, and automatically resolving (316) problems the user has using the examples. The method (300) can convey examples of what a caller can say to a Natural Language Understanding (NLU) application. The method includes entering at least one example associated with an existing routing destination, and ensuring an NLU model correctly interprets the example unambiguously for correctly routing a call to the routing destination. The method can include presenting the example sentence in a help message (126) within an NLU dialogue as an example of what a caller can say for connecting the caller to a desired routing destination.Type: GrantFiled: May 10, 2016Date of Patent: January 29, 2019Assignee: Nuance Communications, Inc.Inventors: Rajesh Balchandran, Linda M. Boyer, James R. Lewis, Brent D. Metz
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Patent number: 9767092Abstract: A method of extracting information from text within a natural language understanding system can include processing a text input through at least one statistical model for each of a plurality of features to be extracted from the text input. For each feature, at least one value can be determined, at least in part, using the statistical model associated with the feature. One value for each feature can be combined to create a complex information target. The complex information target can be output.Type: GrantFiled: August 15, 2016Date of Patent: September 19, 2017Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Rajesh Balchandran, Linda M. Boyer, Gregory Purdy
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Publication number: 20170076204Abstract: Methods, computer program products and systems for generating at least one factual question from a set of seed questions and answer pairs. One method includes: obtaining at least one seed question and answer pair from the set of seed question and answer pairs; extracting a set of features associated with the at least one seed question and answer pair using at least one common analysis system (CAS) in a set of CASs and a specific knowledge base; generating a set of candidate questions from the extracted set of features using a logistic regression algorithm and the specific knowledge base; and ranking each candidate question relative to a remainder of candidate questions in the set of candidate questions based on the extracted set of features and the at least one seed question and answer pair.Type: ApplicationFiled: November 22, 2016Publication date: March 16, 2017Inventors: Aaron K. Baughman, Linda M. Boyer, Wesley T. Chuang, Meilan Ding, William R. Gee, Palani Sakthi
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Patent number: 9535898Abstract: Methods, computer program products and systems for generating at least one factual question from a set of seed questions and answer pairs. One method includes: obtaining at least one seed question and answer pair from the set of seed question and answer pairs; extracting a set of features associated with the at least one seed question and answer pair using at least one common analysis system (CAS) in a set of CASs and a specific knowledge base; generating a set of candidate questions from the extracted set of features using a logistic regression algorithm and the specific knowledge base, wherein each candidate question includes an expansion of each of the extracted set of features; and ranking each candidate question relative to a remainder of candidate questions in the set of candidate questions based on the extracted set of features and the at least one seed question and answer pair.Type: GrantFiled: February 6, 2013Date of Patent: January 3, 2017Assignee: International Business Machines CorporationInventors: Aaron K. Baughman, Linda M. Boyer, Wesley T. Chuang, Meilan Ding, William R. Gee, Palani Sakthi
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Publication number: 20160350281Abstract: A method of extracting information from text within a natural language understanding system can include processing a text input through at least one statistical model for each of a plurality of features to be extracted from the text input. For each feature, at least one value can be determined, at least in part, using the statistical model associated with the feature. One value for each feature can be combined to create a complex information target. The complex information target can be output.Type: ApplicationFiled: August 15, 2016Publication date: December 1, 2016Inventors: Rajesh Balchandran, Linda M. Boyer, Gregory Purdy
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Patent number: 9454525Abstract: A method of extracting information from text within a natural language understanding system can include processing a text input through at least one statistical model for each of a plurality of features to be extracted from the text input. For each feature, at least one value can be determined, at least in part, using the statistical model associated with the feature. One value for each feature can be combined to create a complex information target. The complex information target can be output.Type: GrantFiled: May 20, 2013Date of Patent: September 27, 2016Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Rajesh Balchandran, Linda M. Boyer, Gregory Purdy
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Publication number: 20160253991Abstract: A method (300) and system (100) is provided to add the creation of examples at a developer level in the generation of Natural Language Understanding (NLU) models, tying the examples into a NLU sentence database (130), automatically validating (310) a correct outcome of using the examples, and automatically resolving (316) problems the user has using the examples. The method (300) can convey examples of what a caller can say to a Natural Language Understanding (NLU) application. The method includes entering at least one example associated with an existing routing destination, and ensuring an NLU model correctly interprets the example unambiguously for correctly routing a call to the routing destination. The method can include presenting the example sentence in a help message (126) within an NLU dialogue as an example of what a caller can say for connecting the caller to a desired routing destination.Type: ApplicationFiled: May 10, 2016Publication date: September 1, 2016Applicant: Nuance Communications, Inc.Inventors: Rajesh Balchandran, Linda M. Boyer, James R. Lewis, Brent D. Metz
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Patent number: 9384190Abstract: A method (300) and system (100) is provided to add the creation of examples at a developer level in the generation of Natural Language Understanding (NLU) models, tying the examples into a NLU sentence database (130), automatically validating (310) a correct outcome of using the examples, and automatically resolving (316) problems the user has using the examples. The method (300) can convey examples of what a caller can say to a Natural Language Understanding (NLU) application. The method includes entering at least one example associated with an existing routing destination, and ensuring an NLU model correctly interprets the example unambiguously for correctly routing a can to the routing destination. The method can include presenting the example sentence in a help message (126) within an NLU dialog as an example of what a caller can say for connecting the caller to a desired routing destination.Type: GrantFiled: November 25, 2013Date of Patent: July 5, 2016Assignee: Nuance Communications, Inc.Inventors: Rajesh Balchandran, Linda M. Boyer, James R. Lewis, Brent D. Metz
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Patent number: 9342588Abstract: A method of creating a statistical classification model for a classifier within a natural language understanding system can include processing training data using an existing statistical classification model. Sentences of the training data correctly classified into a selected class of the statistical classification model can be selected. The selected sentences of the training data can be assigned to a fringe group or a core group according to confidence score. The training data can be updated by associating the fringe group with a fringe subclass of the selected class and the core group with a core subclass of the selected class. A new statistical classification model can be built from the updated training data. The new statistical classification model can be output.Type: GrantFiled: June 18, 2007Date of Patent: May 17, 2016Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Rajesh Balchandran, Linda M. Boyer, Gregory Purdy
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Patent number: 9058319Abstract: A method of classifying text input for use with a natural language understanding system can include determining classification information including a primary classification and one or more secondary classifications for a received text input using a statistical classification model (statistical model). A statistical classification sub-model (statistical sub-model) can be selectively built according to a model generation criterion applied to the classification information. The method further can include selecting the primary classification or the secondary classification for the text input as a final classification according to the statistical sub-model and outputting the final classification for the text input.Type: GrantFiled: June 18, 2007Date of Patent: June 16, 2015Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Rajesh Balchandran, Linda M. Boyer, Gregory Purdy
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Publication number: 20140379330Abstract: Methods, computer program products and systems for generating at least one factual question from a set of seed questions and answer pairs. One method includes: obtaining at least one seed question and answer pair from the set of seed question and answer pairs; extracting a set of features associated with the at least one seed question and answer pair using at least one common analysis system (CAS) in a set of CASs and a specific knowledge base; generating a set of candidate questions from the extracted set of features using a logistic regression algorithm and the specific knowledge base; and ranking each candidate question relative to a remainder of candidate questions in the set of candidate questions based on the extracted set of features and the at least one seed question and answer pair.Type: ApplicationFiled: September 11, 2014Publication date: December 25, 2014Inventors: Aaron K. Baughman, Linda M. Boyer, Wesley T. Chuang, Meilan Ding, William R. Gee, Palani Sakthi
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Publication number: 20140222743Abstract: Methods, computer program products and systems for generating at least one factual question from a set of seed questions and answer pairs. One method includes: obtaining at least one seed question and answer pair from the set of seed question and answer pairs; extracting a set of features associated with the at least one seed question and answer pair using at least one common analysis system (CAS) in a set of CASs and a specific knowledge base; generating a set of candidate questions from the extracted set of features using a logistic regression algorithm and the specific knowledge base, wherein each candidate question includes an expansion of each of the extracted set of features; and ranking each candidate question relative to a remainder of candidate questions in the set of candidate questions based on the extracted set of features and the at least one seed question and answer pair.Type: ApplicationFiled: February 6, 2013Publication date: August 7, 2014Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Aaron K. Baughman, Linda M. Boyer, Wesley T. Chuang, Meilan Ding, William R. Gee, Palani Sakthi
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Patent number: 8793381Abstract: A workload associated with a task is assessed with respect to each of a plurality of computing paradigms offered by a cloud computing environment. Adaptive learning is employed by maintaining a table of Q-values corresponding to the computing paradigms and the workload is distributed according to a ratio of Q-values. The Q-values may be adjusted responsive to a performance metric and/or a value, reward, and/or decay function. The workload is then assigned to available computing paradigms to be performed with improved utilization of resources.Type: GrantFiled: June 26, 2012Date of Patent: July 29, 2014Assignee: International Business Machines CorporationInventors: Aaron K. Baughman, Linda M. Boyer, Christopher F. Codella, Richard L. Darden, William G. Dubyak, Arnold Greenland
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Publication number: 20140156265Abstract: A method (300) and system (100) is provided to add the creation of examples at a developer level in the generation of Natural Language Understanding (NLU) models, tying the examples into a NLU sentence database (130), automatically validating (310) a correct outcome of using the examples, and automatically resolving (316) problems the user has using the examples. The method (300) can convey examples of what a caller can say to a Natural Language Understanding (NLU) application. The method includes entering at least one example associated with an existing routing destination, and ensuring an NLU model correctly interprets the example unambiguously for correctly routing a can to the routing destination. The method can include presenting the example sentence in a help message (126) within an NLU dialogue as an example of what a caller can say for connecting the caller to a desired routing destination.Type: ApplicationFiled: November 25, 2013Publication date: June 5, 2014Applicant: Nuance Communications, Inc.Inventors: Rajesh Balchandran, Linda M. Boyer, James R. Lewis, Brent D. Metz
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Patent number: 8630856Abstract: A method for processing language input can include the step of determining at least two possible meanings for a language input. For each possible meaning, a probability that the possible meaning is a correct interpretation of the language input can be determined. At least one relative data computation can be computed based at least in part upon the probabilities. At least one irregularity within the language input can be detected based upon the relative delta computation. The irregularity can include mumble, ambiguous input, and/or compound input. At least one programmatic action can be performed responsive to the detection of the irregularity.Type: GrantFiled: July 8, 2009Date of Patent: January 14, 2014Assignee: Nuance Communications, Inc.Inventors: Rajesh Balchandran, Linda M. Boyer
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Publication number: 20130346614Abstract: A workload associated with a task is assessed with respect to each of a plurality of computing paradigms offered by a cloud computing environment. Adaptive learning is employed by maintaining a table of Q-values corresponding to the computing paradigms and the workload is distributed according to a ratio of Q-values. The Q-values may be adjusted responsive to a performance metric and/or a value, reward, and/or decay function. The workload is then assigned to available computing paradigms to be performed with improved utilization of resources.Type: ApplicationFiled: June 26, 2012Publication date: December 26, 2013Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Aaron K. Baughman, Linda M. Boyer, Christopher F. Codella, Richard L. Darden, William G. Dubyak, Arnold Greenland
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Patent number: 8612229Abstract: A method (300) and system (100) is provided to add the creation of examples at a developer level in the generation of Natural Language Understanding (NLU) models, tying the examples into a NLU sentence database (130), automatically validating (310) a correct outcome of using the examples, and automatically resolving (316) problems the user has using the examples. The method (300) can convey examples of what a caller can say to a Natural Language Understanding (NLU) application. The method includes entering at least one example associated with an existing routing destination, and ensuring an NLU model correctly interprets the example unambiguously for correctly routing a call to the routing destination. The method can include presenting the example sentence in a help message (126) within an NLU dialogue as an example of what a caller can say for connecting the caller to a desired routing destination.Type: GrantFiled: December 15, 2005Date of Patent: December 17, 2013Assignee: Nuance Communications, Inc.Inventors: Rajesh Balchandran, Linda M. Boyer, James R. Lewis, Brent D. Metz
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Publication number: 20130262093Abstract: A method of extracting information from text within a natural language understanding system can include processing a text input through at least one statistical model for each of a plurality of features to be extracted from the text input. For each feature, at least one value can be determined, at least in part, using the statistical model associated with the feature. One value for each feature can be combined to create a complex information target. The complex information target can be output.Type: ApplicationFiled: May 20, 2013Publication date: October 3, 2013Applicant: International Business Machines CorporationInventors: Rajesh Balchandran, Linda M. Boyer, Gregory Purdy
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Patent number: 8521511Abstract: A method of extracting information from text within a natural language understanding system can include processing a text input through at least one statistical model for each of a plurality of features to be extracted from the text input. For each feature, at least one value can be determined, at least in part, using the statistical model associated with the feature. One value for each feature can be combined to create a complex information target. The complex information target can be output.Type: GrantFiled: June 18, 2007Date of Patent: August 27, 2013Assignee: International Business Machines CorporationInventors: Rajesh Balchandran, Linda M. Boyer, Gregory Purdy