Patents by Inventor Joseph L. Sharpe
Joseph L. Sharpe 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: 11250332Abstract: A method, system and computer-usable medium are disclosed for automating the generation of an incorrect answer to a question suitable for a multiple choice exam. An input corpus of human-readable text associated with a subject domain is provided to a question generation system, where it is processed to generate a set of question-answer (QA) pairs. The set of QA pairs is then processed with the corpus of input text to extract a set of input keywords and concepts. A concept dependency graph is then used to perform disambiguation operations on the set of input keywords and concepts, and the reference keywords and concepts it contains, to generate a set of distractor words. The resulting set of distractor words is then processed with the set of QA pairs to generate a set of multiple choice question-answers that include various distractor answers.Type: GrantFiled: May 11, 2016Date of Patent: February 15, 2022Assignee: International Business Machines CorporationInventors: Rahul P. Akolkar, Kristi A. Farinelli, Srijith N. Prabhu, Joseph L. Sharpe, III, Bruce R. Slawson
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Patent number: 11188837Abstract: An approach is provided in which an information handling system analyzes a set of historical form data corresponding to a set of completed forms. The set of historical form data includes information indicating a historical order at which a set of fields were completed in the set of completed forms. Next, the information handling system determines, based on the set of historical form data, a current order at which to complete a set of incomplete fields included in a current form. In turn, the information handling system displays the current form and a user interface on a display that indicates the current order at which to complete the incomplete fields on the current form.Type: GrantFiled: February 1, 2019Date of Patent: November 30, 2021Assignee: International Business Machines CorporationInventors: Brian E. Bissell, Joseph L. Sharpe, III, Kristi Farinelli, Stefan Van Der Stockt, Manali Jairam Chanchlani
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Patent number: 11057231Abstract: A prescriptive meeting resource recommendation engine automatically learns participant and resource preferences in the context of given meeting input data using natural language features, and automatically recommends all relevant participants and resources (teleconferences, web meetings, links, etc.) to the meeting creator. The engine uses a feature data store to associate historical persons and historical resources with various natural language features, e.g., chargrams. As the host enters text in an invitation template (such as in the title field), the engine extracts current natural language features and computes current participant scores and current resource scores based on the current natural language features. A “forgetfulness” routine is applied to the feature data store to phase out the influence of stale data.Type: GrantFiled: August 28, 2018Date of Patent: July 6, 2021Assignee: International Business Machines CorporationInventors: Rahul P. Akolkar, Brian E. Bissell, Kristi A. Farinelli, Joseph L. Sharpe, III, Stefan Van Der Stockt, Xinyun Zhao
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Patent number: 11017774Abstract: A method, system, and computer program product are provided for classifying spoken audio content with a cognitive audio classifier by applying a set of distorted audio resources through a set of speech-to-text models STTi (STT1 . . . STTn) to get a set of interference coherence scores based on the transcript for each speech-to-text model STTi, thereby generating a measured baseline Mi (M1 . . . Mn) and a practical baseline Pi (P1 . . . Pn) that is associated with a coherence matrix for the audio effects AEj (AE1 . . . AEk) that were used to generate the distorted audio resources, thereby generating training data for use in training a cognitive audio classifier which classifies input spoken audio content to measure a quality of detected vocabulary elements from the spoken audio content under the set of audio distortion effects for each speech-to-text model STTi.Type: GrantFiled: February 4, 2019Date of Patent: May 25, 2021Assignee: International Business Machines CorporationInventors: Kristi A. Farinelli, Rahul P. Akolkar, Brian E. Bissell, Joseph L. Sharpe, III, Stefan van der Stockt, Xinyun Zhao
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Patent number: 11003705Abstract: A system, computer program product, and method are provided to leverage a taxonomy service to format ground truth data. An artificial intelligence platform processes ground truth data, including identification of one or more applicable taxonomy tags. The identified tags are filtered and applied to the ground truth data, thereby constructing an output string that incorporates the ground truth data together with one or more of the identified tags, effectively transforming the ground truth data. Application of the transformed ground truth data is employed to accurately identify the source and/or meaning of the natural language, and in one embodiment, to produce a physical action or transformation of a physical hardware device.Type: GrantFiled: February 26, 2018Date of Patent: May 11, 2021Assignee: International Business Machines CorporationInventors: Stefan A. Van Der Stockt, Sihang B. Fang, Sarah Lynch, Joseph L. Sharpe, III, Rahul P. Akolkar, Brian E. Bissell, Manali J. Chanchlani
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Automated distractor generation by identifying relationships between reference keywords and concepts
Patent number: 10817790Abstract: A method, system and computer-usable medium are disclosed for using a context dependency graph to automate the generation of an incorrect answer to a question suitable for a multiple choice exam. A reference corpus is used to generate a concept dependency graph that contains reference keywords and concepts associated with the subject domain of an input corpus. Relationships between the reference keywords and concepts within the concept dependency graph are identified. Once identified, they are used to process a set of input keywords and concepts extracted from the input corpus, and the reference keywords and concepts, to generate a set of distractor words. The resulting set of distractor words is then processed with a set of QA pairs associated with the input corpus to generate a set of multiple choice question-answers that include various distractor answers.Type: GrantFiled: May 11, 2016Date of Patent: October 27, 2020Assignee: International Business Machines CorporationInventors: Rahul P. Akolkar, Kristi A. Farinelli, Srijith N. Prabhu, Joseph L. Sharpe, III, Bruce R. Slawson -
Patent number: 10783179Abstract: A mechanism is provided in a data processing system for article summarization. The mechanism analyzes an article to identify entities and relationships within the article. The article is an item of unstructured content. The mechanism performs information augmentation based on the identified entities and relationships using one or more cognitive services to collect augmented information from a corpus of information. The mechanism generates one or more visualization components based on the identified entities and relationships and the augmented information. The mechanism presents a summarization comprising the one or more visualization components to a user.Type: GrantFiled: August 3, 2015Date of Patent: September 22, 2020Assignee: International Business Machines CorporationInventors: Rahul P. Akolkar, Srijith N. Prabhu, Joseph L. Sharpe, III, Bruce R. Slawson, Jagan M. R. Vujjini
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Patent number: 10740544Abstract: Embodiments provide a computer implemented method in a data processing system including a processor and memory storing instructions, which are executed by the processor to cause the processor to implement the method for providing an annotation policy for annotating a corpus including a plurality of electronic documents. The method includes: annotating an occurrence of a first term with a class in an electronic document; recommending a new annotation policy based on at least one annotation for the occurrence of first term; and storing the new annotation policy in a storage device.Type: GrantFiled: July 11, 2018Date of Patent: August 11, 2020Assignee: International Business Machines CorporationInventors: Sarah Lynch, Kristi Farinelli, Rahul P. Akolkar, Alexander Block, Joseph L. Sharpe, III, Stefan Van Der Stockt
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Publication number: 20200250550Abstract: An approach is provided in which an information handling system analyzes a set of historical form data corresponding to a set of completed forms. The set of historical form data includes information indicating a historical order at which a set of fields were completed in the set of completed forms. Next, the information handling system determines, based on the set of historical form data, a current order at which to complete a set of incomplete fields included in a current form. In turn, the information handling system displays the current form and a user interface on a display that indicates the current order at which to complete the incomplete fields on the current form.Type: ApplicationFiled: February 1, 2019Publication date: August 6, 2020Inventors: Brian E. Bissell, Joseph L. Sharpe, III, Kristi Farinelli, Stefan Van Der Stockt, Manali Jairam Chanchlani
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Publication number: 20200251115Abstract: A method, system, and computer program product are provided for classifying spoken audio content with a cognitive audio classifier by applying a set of distorted audio resources through a set of speech-to-text models STTi (STT1 . . . STTn) to get a set of interference coherence scores based on the transcript for each speech-to-text model STTi, thereby generating a measured baseline Mi (M1 . . . Mn) and a practical baseline Pi (P1 . . . Pn) that is associated with a coherence matrix for the audio effects AEj (AE1 . . . AEk) that were used to generate the distorted audio resources, thereby generating training data for use in training a cognitive audio classifier which classifies input spoken audio content to measure a quality of detected vocabulary elements from the spoken audio content under the set of audio distortion effects for each speech-to-text model STTi.Type: ApplicationFiled: February 4, 2019Publication date: August 6, 2020Inventors: Kristi A. Farinelli, Rahul P. Akolkar, Brian E. Bissell, Joseph L. Sharpe, III, Stefan van der Stockt, Xinyun Zhao
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Publication number: 20200076634Abstract: A prescriptive meeting resource recommendation engine automatically learns participant and resource preferences in the context of given meeting input data using natural language features, and automatically recommends all relevant participants and resources (teleconferences, web meetings, links, etc.) to the meeting creator. The engine uses a feature data store to associate historical persons and historical resources with various natural language features, e.g., chargrams. As the host enters text in an invitation template (such as in the title field), the engine extracts current natural language features and computes current participant scores and current resource scores based on the current natural language features. A “forgetfulness” routine is applied to the feature data store to phase out the influence of stale data.Type: ApplicationFiled: August 28, 2018Publication date: March 5, 2020Inventors: Rahul P. Akolkar, Brian E. Bissell, Kristi A. Farinelli, Joseph L. Sharpe, III, Stefan Van Der Stockt, Xinyun Zhao
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Patent number: 10565189Abstract: A system, computer program product, and method are provided to leverage a taxonomy service to format ground truth data. An artificial intelligence platform processes ground truth data, including identification of one or more applicable taxonomy tags. The identified tags are filtered and applied to the ground truth data, thereby constructing an output string that incorporates the ground truth data together with one or more of the identified tags, effectively transforming the ground truth data. Application of the transformed ground truth data is employed to accurately identify the source and/or meaning of the natural language, and in one embodiment, to product a physical action or transformation of a physical hardware device.Type: GrantFiled: February 26, 2018Date of Patent: February 18, 2020Assignee: International Business Machines CorporationInventors: Stefan A. Van Der Stockt, Sihang B. Fang, Sarah Lynch, Joseph L. Sharpe, III, Rahul P. Akolkar, Brian E. Bissell, Manali J. Chanchlani
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Publication number: 20200019599Abstract: Embodiments provide a computer implemented method in a data processing system including a processor and memory storing instructions, which are executed by the processor to cause the processor to implement the method for providing an annotation policy for annotating a corpus including a plurality of electronic documents. The method includes: annotating an occurrence of a first term with a class in an electronic document; recommending a new annotation policy based on at least one annotation for the occurrence of first term; and storing the new annotation policy in a storage device.Type: ApplicationFiled: July 11, 2018Publication date: January 16, 2020Inventors: Sarah Lynch, Kristi Farinelli, Rahul P. Akolkar, Alexander Block, Joseph L. Sharpe, III, Stefan Van Der Stockt
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Publication number: 20190266281Abstract: A system, computer program product, and method are provided to leverage a taxonomy service to format ground truth data. An artificial intelligence platform processes ground truth data, including identification of one or more applicable taxonomy tags. The identified tags are filtered and applied to the ground truth data, thereby constructing an output string that incorporates the ground truth data together with one or more of the identified tags, effectively transforming the ground truth data. Application of the transformed ground truth data is employed to accurately identify the source and/or meaning of the natural language, and in one embodiment, to product a physical action or transformation of a physical hardware device.Type: ApplicationFiled: February 26, 2018Publication date: August 29, 2019Applicant: International Business Machines CorporationInventors: Stefan A. Van Der Stockt, Sihang B. Fang, Sarah Lynch, Joseph L. Sharpe, III, Rahul P. Akolkar, Brian E. Bissell, Manali J. Chanchlani
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Publication number: 20190266270Abstract: A system, computer program product, and method are provided to leverage a taxonomy service to format ground truth data. An artificial intelligence platform processes ground truth data, including identification of one or more applicable taxonomy tags. The identified tags are filtered and applied to the ground truth data, thereby constructing an output string that incorporates the ground truth data together with one or more of the identified tags, effectively transforming the ground truth data. Application of the transformed ground truth data is employed to accurately identify the source and/or meaning of the natural language, and in one embodiment, to product a physical action or transformation of a physical hardware device.Type: ApplicationFiled: February 26, 2018Publication date: August 29, 2019Applicant: International Business Machines CorporationInventors: Stefan A. Van Der Stockt, Sihang B. Fang, Sarah Lynch, Joseph L. Sharpe, III, Rahul P. Akolkar, Brian E. Bissell, Manali J. Chanchlani
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Publication number: 20190138943Abstract: The disclosed embodiments include a computer-implemented method executed by a cognitive system. In one embodiment, the computer-implemented method includes the step of receiving a first image as part of a visual communication session. The method identifies metadata associated with the first image. The method identifies objects and their surroundings depicted in the first image. The method identifies properties associated with the objects and their surroundings depicted in the first image. The method retrieves information associated with the objects and their surroundings depicted in the first image based on the metadata and the properties associated with the objects and their surroundings. The method interacts with a user based in part on the information associated with the objects and their surroundings depicted in the first image.Type: ApplicationFiled: November 8, 2017Publication date: May 9, 2019Inventors: Rahul P. Akolkar, Kristi A. Farinelli, Joseph L. Sharpe, Stefan Van Der Stockt
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Publication number: 20170330079Abstract: A method, system and computer-usable medium are disclosed for automating the generation of an incorrect answer to a question suitable for a multiple choice exam. An input corpus of human-readable text associated with a subject domain is provided to a question generation system, where it is processed to generate a set of question-answer (QA) pairs. The set of QA pairs is then processed with the corpus of input text to extract a set of input keywords and concepts. A concept dependency graph is then used to perform disambiguation operations on the set of input keywords and concepts, and the reference keywords and concepts it contains, to generate a set of distractor words. The resulting set of distractor words is then processed with the set of QA pairs to generate a set of multiple choice question-answers that include various distractor answers.Type: ApplicationFiled: May 11, 2016Publication date: November 16, 2017Inventors: Rahul P. Akolkar, Kristi A. Farinelli, Srijith N. Prabhu, Joseph L. Sharpe, III, Bruce R. Slawson
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Automated Distractor Generation by Identifying Relationships Between Reference Keywords and Concepts
Publication number: 20170330087Abstract: A method, system and computer-usable medium are disclosed for using a context dependency graph to automate the generation of an incorrect answer to a question suitable for a multiple choice exam. A reference corpus is used to generate a concept dependency graph that contains reference keywords and concepts associated with the subject domain of an input corpus. Relationships between the reference keywords and concepts within the concept dependency graph are identified. Once identified, they are used to process a set of input keywords and concepts extracted from the input corpus, and the reference keywords and concepts, to generate a set of distractor words. The resulting set of distractor words is then processed with a set of QA pairs associated with the input corpus to generate a set of multiple choice question-answers that include various distractor answers.Type: ApplicationFiled: May 11, 2016Publication date: November 16, 2017Inventors: Rahul P. Akolkar, Kristi A. Farinelli, Srijith N. Prabhu, Joseph L. Sharpe, III, Bruce R. Slawson -
Publication number: 20170063775Abstract: Software that utilizes cognitive services to analyze proposed communications and determine their predicted acceptance by a target audience. The software performs the following operations: (i) receiving a communication from a sender; (ii) determining a demography of a target audience for the communication using natural language processing; (iii) analyzing a set of data sources to determine a predicted amount of acceptance of the communication by the target audience based, at least in part, on the target audience's determined demography; and (iv) identifying a set of adjustments to the communication based, at least in part, on a predicted amount of improvement to the predicted amount of acceptance of the communication by the target audience, wherein the set of adjustments utilizes one or more synonyms to replace one or more words in the communication.Type: ApplicationFiled: April 19, 2016Publication date: March 2, 2017Inventors: Rahul P. Akolkar, Srijith N. Prabhu, Joseph L. Sharpe, III, Bruce R. Slawson, Jagan Mohan Rao Vujjini
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Publication number: 20170061479Abstract: Software that utilizes cognitive services to analyze proposed communications and determine their predicted acceptance by a target audience. The software performs the following operations: (i) receiving a communication from a sender; (ii) determining a demography of a target audience for the communication using natural language processing; (iii) analyzing a set of data sources to determine a predicted amount of acceptance of the communication by the target audience based, at least in part, on the target audience's determined demography; and (iv) identifying a set of adjustments to the communication based, at least in part, on a predicted amount of improvement to the predicted amount of acceptance of the communication by the target audience, wherein the set of adjustments utilizes one or more synonyms to replace one or more words in the communication.Type: ApplicationFiled: August 31, 2015Publication date: March 2, 2017Inventors: Rahul P. Akolkar, Srijith N. Prabhu, Joseph L. Sharpe, III, Bruce R. Slawson, Jagan Mohan Rao Vujjini