Patents by Inventor Anand B. Bhagwat
Anand B. Bhagwat 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: 11023654Abstract: A method for generating an appendix from document content is provided. Included is analyzing a structure of a document to identify at least one logical element in a content of a page of the document; identifying at least one relation within the identified at least one logical element to determine an appendix topic; determining a degree of relevance of the at least one relation identifying the appendix topic; extracting an appendix content from at least one source document, based on determining a relevance of the source document to the appendix topic; and formatting the appendix based on the extracted appendix content.Type: GrantFiled: February 21, 2020Date of Patent: June 1, 2021Assignee: International Business Machines CorporationInventors: Anand B. Bhagwat, Amit P. Bohra, Krishna Kummamuru, Abhishek Shivkumar
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Patent number: 10796071Abstract: A method for generating an appendix from document content is provided. Included is analyzing a structure of a document to identify at least one logical element in a content of a page of the document; identifying at least one relation within the identified at least one logical element to determine an appendix topic; determining a degree of relevance of the at least one relation identifying the appendix topic; extracting an appendix content from at least one source document, based on determining a relevance of the source document to the appendix topic; and formatting the appendix based on the extracted appendix content.Type: GrantFiled: January 12, 2018Date of Patent: October 6, 2020Assignee: International Business Machines CorporationInventors: Anand B. Bhagwat, Amit P. Bohra, Krishna Kummamuru, Abhishek Shivkumar
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Publication number: 20200193083Abstract: A method for generating an appendix from document content is provided. Included is analyzing a structure of a document to identify at least one logical element in a content of a page of the document; identifying at least one relation within the identified at least one logical element to determine an appendix topic; determining a degree of relevance of the at least one relation identifying the appendix topic; extracting an appendix content from at least one source document, based on determining a relevance of the source document to the appendix topic; and formatting the appendix based on the extracted appendix content.Type: ApplicationFiled: February 21, 2020Publication date: June 18, 2020Inventors: Anand B. Bhagwat, Amit P. Bohra, Krishna Kummamuru, Abhishek Shivkumar
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Patent number: 10606922Abstract: A method for generating an appendix from document content is provided. Included is analyzing a structure of a document to identify at least one logical element in a content of a page of the document; identifying at least one relation within the identified at least one logical element to determine an appendix topic; determining a degree of relevance of the at least one relation identifying the appendix topic; extracting an appendix content from at least one source document, based on determining a relevance of the source document to the appendix topic; and formatting the appendix based on the extracted appendix content.Type: GrantFiled: November 16, 2018Date of Patent: March 31, 2020Assignee: International Business Machines CorporationInventors: Anand B. Bhagwat, Amit P. Bohra, Krishna Kummamuru, Abhishek Shivkumar
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Publication number: 20190102363Abstract: A method for generating an appendix from document content is provided. Included is analyzing a structure of a document to identify at least one logical element in a content of a page of the document; identifying at least one relation within the identified at least one logical element to determine an appendix topic; determining a degree of relevance of the at least one relation identifying the appendix topic; extracting an appendix content from at least one source document, based on determining a relevance of the source document to the appendix topic; and formatting the appendix based on the extracted appendix content.Type: ApplicationFiled: November 16, 2018Publication date: April 4, 2019Inventors: Anand B. Bhagwat, Amit P. Bohra, Krishna Kummamuru, Abhishek Shivkumar
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Patent number: 10169299Abstract: A method for generating an appendix from document content is provided. Included is analyzing a structure of a document to identify at least one logical element in a content of a page of the document; identifying at least one relation within the identified at least one logical element to determine an appendix topic; determining a degree of relevance of the at least one relation identifying the appendix topic; extracting an appendix content from at least one source document, based on determining a relevance of the source document to the appendix topic; and formatting the appendix based on the extracted appendix content.Type: GrantFiled: September 2, 2014Date of Patent: January 1, 2019Assignee: International Business Machines CorporationInventors: Anand B. Bhagwat, Amit P. Bohra, Krishna Kummamuru, Abhishek Shivkumar
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Publication number: 20180137089Abstract: A method for generating an appendix from document content is provided. Included is analyzing a structure of a document to identify at least one logical element in a content of a page of the document; identifying at least one relation within the identified at least one logical element to determine an appendix topic; determining a degree of relevance of the at least one relation identifying the appendix topic; extracting an appendix content from at least one source document, based on determining a relevance of the source document to the appendix topic; and formatting the appendix based on the extracted appendix content.Type: ApplicationFiled: January 12, 2018Publication date: May 17, 2018Inventors: Anand B. Bhagwat, Amit P. Bohra, Krishna Kummamuru, Abhishek Shivkumar
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Patent number: 9916284Abstract: A method for generating an appendix from document content is provided. Included is analyzing a structure of a document to identify at least one logical element in a content of a page of the document; identifying at least one relation within the identified at least one logical element to determine an appendix topic; determining a degree of relevance of the at least one relation identifying the appendix topic; extracting an appendix content from at least one source document, based on determining a relevance of the source document to the appendix topic; and formatting the appendix based on the extracted appendix content.Type: GrantFiled: December 10, 2013Date of Patent: March 13, 2018Assignee: International Business Machines CorporationInventors: Anand B. Bhagwat, Amit P. Bohra, Krishna Kummamuru, Abhishek Shivkumar
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Patent number: 9916375Abstract: Embodiments of the present invention enable users to generate a summary for a document with respect to a concept, making use of inherent hierarchies present in a text document based on subject-object relationships of the sentences in the text document. In one embodiment, a text document is parsed into sentences, and a tuple is created for each sentence, the tuple comprising a subject and an object found in the sentence. The tuples may then be searched for a specified topic to identify matching tuples, as well as tuples that are related to the matching tuples based on relationships between their respective subjects and objects. A summary focused on the specified topic may then be generated using the sentences corresponding to the matching tuples and the tuples related to the matching tuples.Type: GrantFiled: August 15, 2014Date of Patent: March 13, 2018Assignee: International Business Machines CorporationInventors: Anand B. Bhagwat, Krishna Kummamuru
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Patent number: 9740769Abstract: A mechanism is provided in a computing system for interpreting and distinguishing a lack of an answer to an input question. The mechanism receives an input question from a user. The mechanism generates one or more hypotheses based on a corpus of source information. The mechanism injects a no-answer response into the one or more hypotheses to form a plurality of candidate answers. The mechanism ranks the plurality of candidate answers based on evidence scoring and confidence scoring to form a candidate answer ranking. Responsive to determining the no-answer response is the top candidate answer in the candidate answer ranking, the mechanism presents the no-answer response to the user.Type: GrantFiled: July 17, 2014Date of Patent: August 22, 2017Assignee: International Business Machines CorporationInventors: Anand B. Bhagwat, John P. Bufe, III, Timothy P. Winkler
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Patent number: 9652715Abstract: A computer processor determines a first span of a communication, wherein a span includes content associated with one or more dialog statements. If the content of the first span contains one or more topic change indicators which are identified by at least one detector of a learning model, the computer processor, in response, generates scores for each of the one or more indicators. The computer processor aggregates scores of the one or more indicators of the first span, which may be weighted, to produce an aggregate score. The computer processor compares the aggregate score to a threshold value, wherein the threshold value is determined during training of the learning model, and the computer processor, in response to the aggregate score crossing the threshold value, determines a topic change has occurred within the first span.Type: GrantFiled: October 20, 2016Date of Patent: May 16, 2017Assignee: International Business Machines CorporationInventors: Anand B. Bhagwat, Amit P. Bohra, Manojkumar Pal, Abhishek Shrivastava, Swapnasarit Sahu
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Patent number: 9645703Abstract: A computer processor determines a first span of a communication, wherein a span includes content associated with one or more dialog statements. If the content of the first span contains one or more topic change indicators which are identified by at least one detector of a learning model, the computer processor, in response, generates scores for each of the one or more indicators. The computer processor aggregates scores of the one or more indicators of the first span, which may be weighted, to produce an aggregate score. The computer processor compares the aggregate score to a threshold value, wherein the threshold value is determined during training of the learning model, and the computer processor, in response to the aggregate score crossing the threshold value, determines a topic change has occurred within the first span.Type: GrantFiled: May 14, 2014Date of Patent: May 9, 2017Assignee: International Business Machines CorporationInventors: Anand B. Bhagwat, Amit P. Bohra, Manojkumar Pal, Abhishek Shrivastava, Swapnasarit Sahu
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Patent number: 9646251Abstract: A computer processor determines a first span of a communication, wherein a span includes content associated with one or more dialog statements. If the content of the first span contains one or more topic change indicators which are identified by at least one detector of a learning model, the computer processor, in response, generates scores for each of the one or more indicators. The computer processor aggregates scores of the one or more indicators of the first span, which may be weighted, to produce an aggregate score. The computer processor compares the aggregate score to a threshold value, wherein the threshold value is determined during training of the learning model, and the computer processor, in response to the aggregate score crossing the threshold value, determines a topic change has occurred within the first span.Type: GrantFiled: October 20, 2016Date of Patent: May 9, 2017Assignee: International Business Machines CorporationInventors: Anand B. Bhagwat, Amit P. Bohra, Manojkumar Pal, Abhishek Shrivastava, Swapnasarit Sahu
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Publication number: 20170032261Abstract: A computer processor determines a first span of a communication, wherein a span includes content associated with one or more dialog statements. If the content of the first span contains one or more topic change indicators which are identified by at least one detector of a learning model, the computer processor, in response, generates scores for each of the one or more indicators. The computer processor aggregates scores of the one or more indicators of the first span, which may be weighted, to produce an aggregate score. The computer processor compares the aggregate score to a threshold value, wherein the threshold value is determined during training of the learning model, and the computer processor, in response to the aggregate score crossing the threshold value, determines a topic change has occurred within the first span.Type: ApplicationFiled: October 20, 2016Publication date: February 2, 2017Inventors: Anand B. Bhagwat, Amit P. Bohra, Manojkumar Pal, Abhishek Shrivastava, Swapnasarit Sahu
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Publication number: 20170032260Abstract: A computer processor determines a first span of a communication, wherein a span includes content associated with one or more dialog statements. If the content of the first span contains one or more topic change indicators which are identified by at least one detector of a learning model, the computer processor, in response, generates scores for each of the one or more indicators. The computer processor aggregates scores of the one or more indicators of the first span, which may be weighted, to produce an aggregate score. The computer processor compares the aggregate score to a threshold value, wherein the threshold value is determined during training of the learning model, and the computer processor, in response to the aggregate score crossing the threshold value, determines a topic change has occurred within the first span.Type: ApplicationFiled: October 20, 2016Publication date: February 2, 2017Inventors: Anand B. Bhagwat, Amit P. Bohra, Manojkumar Pal, Abhishek Shrivastava, Swapnasarit Sahu
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Patent number: 9513764Abstract: A computer processor determines a first span of a communication, wherein a span includes content associated with one or more dialog statements. If the content of the first span contains one or more topic change indicators which are identified by at least one detector of a learning model, the computer processor, in response, generates scores for each of the one or more indicators. The computer processor aggregates scores of the one or more indicators of the first span, which may be weighted, to produce an aggregate score. The computer processor compares the aggregate score to a threshold value, wherein the threshold value is determined during training of the learning model, and the computer processor, in response to the aggregate score crossing the threshold value, determines a topic change has occurred within the first span.Type: GrantFiled: April 11, 2016Date of Patent: December 6, 2016Assignee: International Business Machines CorporationInventors: Anand B. Bhagwat, Amit P. Bohra, Manojkumar Pal, Abhishek Shrivastava, Swapnasarit Sahu
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Publication number: 20160210563Abstract: A computer processor determines a first span of a communication, wherein a span includes content associated with one or more dialog statements. If the content of the first span contains one or more topic change indicators which are identified by at least one detector of a learning model, the computer processor, in response, generates scores for each of the one or more indicators. The computer processor aggregates scores of the one or more indicators of the first span, which may be weighted, to produce an aggregate score. The computer processor compares the aggregate score to a threshold value, wherein the threshold value is determined during training of the learning model, and the computer processor, in response to the aggregate score crossing the threshold value, determines a topic change has occurred within the first span.Type: ApplicationFiled: April 11, 2016Publication date: July 21, 2016Inventors: Anand B. Bhagwat, Amit P. Bohra, Manojkumar Pal, Abhishek Shrivastava, Swapnasarit Sahu
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Publication number: 20160048511Abstract: Embodiments of the present invention enable users to generate a summary for a document with respect to a concept, making use of inherent hierarchies present in a text document based on subject-object relationships of the sentences in the text document. In one embodiment, a text document is parsed into sentences, and a tuple is created for each sentence, the tuple comprising a subject and an object found in the sentence. The tuples may then be searched for a specified topic to identify matching tuples, as well as tuples that are related to the matching tuples based on relationships between their respective subjects and objects. A summary focused on the specified topic may then be generated using the sentences corresponding to the matching tuples and the tuples related to the matching tuples.Type: ApplicationFiled: August 15, 2014Publication date: February 18, 2016Inventors: Anand B. Bhagwat, Krishna Kummamuru
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Publication number: 20160019293Abstract: A mechanism is provided in a computing system for interpreting and distinguishing a lack of an answer to an input question. The mechanism receives an input question from a user. The mechanism generates one or more hypotheses based on a corpus of source information. The mechanism injects a no-answer response into the one or more hypotheses to form a plurality of candidate answers. The mechanism ranks the plurality of candidate answers based on evidence scoring and confidence scoring to form a candidate answer ranking. Responsive to determining the no-answer response is the top candidate answer in the candidate answer ranking, the mechanism presents the no-answer response to the user.Type: ApplicationFiled: July 17, 2014Publication date: January 21, 2016Inventors: Anand B. Bhagwat, John P. Bufe, III, Timothy P. Winkler
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Publication number: 20150332168Abstract: A computer processor determines a first span of a communication, wherein a span includes content associated with one or more dialog statements. If the content of the first span contains one or more topic change indicators which are identified by at least one detector of a learning model, the computer processor, in response, generates scores for each of the one or more indicators. The computer processor aggregates scores of the one or more indicators of the first span, which may be weighted, to produce an aggregate score. The computer processor compares the aggregate score to a threshold value, wherein the threshold value is determined during training of the learning model, and the computer processor, in response to the aggregate score crossing the threshold value, determines a topic change has occurred within the first span.Type: ApplicationFiled: May 14, 2014Publication date: November 19, 2015Applicant: International Business Machines CorporationInventors: Anand B. Bhagwat, Amit P. Bohra, Manojkumar Pal, Abhishek Shrivastava, Swapnasarit Sahu