Patents by Inventor Krishna Kummamuru
Krishna Kummamuru 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: 12026471Abstract: The present disclosure relates to automated chatbot generation for different domains from available human-to-human chat logs. The systems and methods may be configured to cluster user utterances as well as agent utterances from the human chat logs. A data miner mines intents and entities from the user utterance clustering and mines actions from agent utterances. The intents, entities and actions mined are used to generate a set of stories or flows which are further used by a machine learning engine to train the chatbot. The stories or flows are also generated automatically by mapping the intents with the actions.Type: GrantFiled: April 16, 2021Date of Patent: July 2, 2024Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITEDInventors: Anurag D. Tripathi, Rinki Arya, Jorjeta Jetcheva, Krishna Kummamuru, Sonam Gupta
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Patent number: 12026467Abstract: A system and method for upgrading an executable chatbot is disclosed. The system may include a processor including a fallout utterance analyzer, a response identifier, a deviation identifier, a flow generator and enhancer. The fallout utterance analyzer may receive chats logs comprising a plurality of utterances and corresponding bot responses. The fallout utterance analyzer may classify the plurality of utterances into multiple buckets pertaining to at least one of an out-of-scope intent, a newly identified intent, and a new variation of an existing intent. The response identifier may generate auto-generated responses corresponding to new intents for upgrading the executable chatbot. The deviation identifier may overlay corresponding intent in the chat logs with the prestored flow dialog network to designate an extent of deviation with respect to flow prediction performance by the executable chatbot.Type: GrantFiled: August 4, 2021Date of Patent: July 2, 2024Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITEDInventors: Rinki Arya, Tanuj Chawla, Shruti Chhabra, Sonam Gupta, Kiran Cskumar, Krishna Kummamuru, Vinay Narayana, Thomas Mammen Tharakan, Anurag Tripathi
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Patent number: 11687826Abstract: An Artificial Intelligence (AI)-based innovation data processing system receives at least one query word related to a category. Information material including textual and non-textual data is retrieved from a plurality of data sources using the at least one query word. The information material is tokenized and parsed using a dependency parser for entity recognition, building entity relationships and for generating knowledge graphs. The output of the dependency parser is accessed by a trained classifier for obtaining respective confidence levels for each of the sentences in the textual data. The confidence levels are compared to a predetermined threshold confidence level for determining if the sentences include references to innovations. In addition, trends in the innovations are determined and responses to user queries are generated based on one or more of knowledge graphs and the trends.Type: GrantFiled: August 29, 2019Date of Patent: June 27, 2023Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITEDInventors: Krishna Kummamuru, Bibudh Lahiri, Guruprasad Dasappa, Arjun Atreya V, Alexander Frederick John Piers Hall, Sven Ruytinx, Cyrille Witjas
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Publication number: 20230037894Abstract: A system and method for upgrading an executable chatbot is disclosed. The system may include a processor including a fallout utterance analyzer, a response identifier, a deviation identifier, a flow generator and enhancer. The fallout utterance analyzer may receive chats logs comprising a plurality of utterances and corresponding bot responses. The fallout utterance analyzer may classify the plurality of utterances into multiple buckets pertaining to at least one of an out-of-scope intent, a newly identified intent, and a new variation of an existing intent. The response identifier may generate auto-generated responses corresponding to new intents for upgrading the executable chatbot. The deviation identifier may overlay corresponding intent in the chat logs with the prestored flow dialog network to designate an extent of deviation with respect to flow prediction performance by the executable chatbot.Type: ApplicationFiled: August 4, 2021Publication date: February 9, 2023Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITEDInventors: Rinki ARYA, Tanuj Chawla, Shruti Chhabra, Sonam Gupta, Kiran Cskumar, Krishna Kummamuru, Vinay Narayana, Thomas Mammen Tharakan, Anurag Tripathi
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Publication number: 20220335223Abstract: The present disclosure relates to automated chatbot generation for different domains from available human-to-human chat logs. The systems and methods may be configured to cluster user utterances as well as agent utterances from the human chat logs. A data miner mines intents and entities from the user utterance clustering and mines actions from agent utterances. The intents, entities and actions mined are used to generate a set of stories or flows which are further used by a machine learning engine to train the chatbot. The stories or flows are also generated automatically by mapping the intents with the actions.Type: ApplicationFiled: April 16, 2021Publication date: October 20, 2022Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITEDInventors: Anurag D. TRIPATHI, Rinki ARYA, Jorjeta JETCHEVA, Krishna KUMMAMURU, Sonam GUPTA
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Patent number: 11328005Abstract: A machine learning (ML) based automated search system receives an entity information document including a plurality of entities and identifies new entities that are similar to the plurality of entities which are not included in the entity information document via automated searches. Entity intelligence reports are generated for the plurality of entities which are further used to extract search terms. The search terms are used for executing automatic searches for documents with relevant portions. The documents are further analyzed to identify other, new entities which are not included in the entity information document. Entity intelligence reports including information regarding the new entities are also generated. Significant attributes are determined for the entities. The significant attributes are further employed in ranking the new entities so that top ranked new entities are identified. Alerts can be generated based on the information regarding the new entities.Type: GrantFiled: November 29, 2018Date of Patent: May 10, 2022Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITEDInventors: Krishna Kummamuru, Arjun Atreya V, Bibudh Lahiri
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Patent number: 11270253Abstract: Examples of cognitive procurement and proactive continuous sourcing are defined. In an example, the system receives a procurement request. The system implements an artificial intelligence component to sort the supplier data into a plurality of domains. The system modifies a domain from the plurality of data domains based on new supplier data being received. The system generates user procurement behavior data based on the procurement interaction and a domain from the plurality of data domains. The system establishes a user procurement behavior model corresponding to a guideline associated with the procurement interaction. The system determines whether the user procurement behavior model should be updated based on modification in the plurality of data domains and updates the same. The system notifies the user regarding change in the user procurement behavior model due to change in a domain of the received supplier data selected by the user.Type: GrantFiled: January 7, 2019Date of Patent: March 8, 2022Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITEDInventors: Chung-Sheng Li, Guruprasad Dasappa, Krishna Kummamuru, Colin Connors, Guanglei Xiong, Christopher Banschbach, Thomas Michael Fahey
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Patent number: 11023551Abstract: An information request processor analyzes an information request and automatically selects search queries and information sources that are responsive to the information request. Prior reports and portions of browsing history that were generated during the creation of the prior reports are selected based at least on a primary entity included in the information request. The entities extracted from the prior reports using trained Information Extraction (IE) models are mapped to the search terms extracted from the portions of the browsing history in order to identify the successful search queries that provided the information for the prior reports. A report responsive to the information request can be generated either automatically or by receiving user input that validates and rephrases the successful search queries.Type: GrantFiled: February 23, 2018Date of Patent: June 1, 2021Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITEDInventors: Krishna Kummamuru, Deepak Kumar, Chetan N. Yadati, Guruprasad Dasappa, Chung-Sheng Li
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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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Publication number: 20210065045Abstract: An Artificial Intelligence (AI)-based innovation data processing system receives at least one query word related to a category. Information material including textual and non-textual data is retrieved from a plurality of data sources using the at least one query word. The information material is tokenized and parsed using a dependency parser for entity recognition, building entity relationships and for generating knowledge graphs. The output of the dependency parser is accessed by a trained classifier for obtaining respective confidence levels for each of the sentences in the textual data. The confidence levels are compared to a predetermined threshold confidence level for determining if the sentences include references to innovations. In addition, trends in the innovations are determined and responses to user queries are generated based on one or more of knowledge graphs and the trends.Type: ApplicationFiled: August 29, 2019Publication date: March 4, 2021Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITEDInventors: Krishna KUMMAMURU, Bibudh LAHIRI, Guruprasad DASAPPA, Arjun ATREYA V, Alexander Frederick John Piers HALL, Sven RUYTINX, Cyrille WITJAS
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Patent number: 10896214Abstract: An AI-based data processing system analyzes a received information request to generate an interactive visualization including data responsive to the information request. The information request is processed to obtain the primary entity and one or more informational items related to the primary entity. Auxiliary entities and informational items related to the primary entity are identified and searches are executed on a knowledge base and the internet. The results from the searches are analyzed to obtain knowledge nuggets which are included into a selected one of a visualization template to generate the interactive visualization. If it is determined via user interactions with the interactive visualization that an informational gap exists between the information request and the data in the interactive visualization, the interactive visualization can be updated to address the informational gap.Type: GrantFiled: June 1, 2018Date of Patent: January 19, 2021Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITEDInventors: Krishna Kummamuru, Swati Tata, Guruprasad Dasappa, Chung-Sheng Li, Madhura Shivaram, Vivek Chenna, Deepak Dalwani, Venkata Ramakrishnap, Mudita Shah, Chetan N. Yadati
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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: 20200219040Abstract: Examples of cognitive procurement and proactive continuous sourcing are defined. In an example, the system receives a procurement request. The system implements an artificial intelligence component to sort the supplier data into a plurality of domains. The system modifies a domain from the plurality of data domains based on new supplier data being received. The system generates user procurement behavior data based on the procurement interaction and a domain from the plurality of data domains. The system establishes a user procurement behavior model corresponding to a guideline associated with the procurement interaction. The system determines whether the user procurement behavior model should be updated based on modification in the plurality of data domains and updates the same. The system notifies the user regarding change in the user procurement behavior model due to change in a domain of the received supplier data selected by the user.Type: ApplicationFiled: January 7, 2019Publication date: July 9, 2020Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITEDInventors: Chung-Sheng Li, Guruprasad Dasappa, Krishna Kummamuru, Colin Connors, Guanglei Xiong, Christopher Banschbach, Thomas Michael Fahey
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Patent number: 10698956Abstract: An approach is provided for an information handling system to present knowledge-based information. In the approach, a semantic analysis is performed on the document with the analysis resulting in various sets of semantic content. Each of the sets of semantic content corresponds to an area in the document. The areas of the document are visually highlighted using visual indicators that show the availability of the sets of semantic content to a user via a user interface. In response to a user selection, such as a selection using the user interface or a user specified configuration setting, a selected set of semantic content is displayed to the user using the interface.Type: GrantFiled: July 18, 2017Date of Patent: June 30, 2020Assignee: International Business Machines CorporationInventors: Donna K. Byron, Krishna Kummamuru, Alexander Pikovsky, Timothy Winkler
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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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Publication number: 20200118022Abstract: A mechanism is provided in a data processing system for determining comprehensiveness of a question paper given a syllabus of topics. An answer and evidence generator of a question answering system executing on the data processing system finds one or more answers based on the syllabus of topics for each question in the question paper. The answer and evidence generator identifies evidence for the one or more answers in the syllabus for each question in the question paper. A concept identifier of the question answering system identifies a set of concepts in the syllabus corresponding to the evidence for each question in the question paper to form a plurality of sets of concepts. The mechanism determines a value for a comprehensiveness metric for the question paper with respect to the syllabus of topics based on the plurality of sets of concepts.Type: ApplicationFiled: December 16, 2019Publication date: April 16, 2020Inventors: Amit P. Bohra, Krishna Kummamuru, Swapnasarit Sahu, Abhishek Shivkumar
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Publication number: 20200110769Abstract: A machine learning (ML) based automated search system receives an entity information document including a plurality of entities and identifies new entities that are similar to the plurality of entities which are not included in the entity information document via automated searches. Entity intelligence reports are generated for the plurality of entities which are further used to extract search terms. The search terms are used for executing automatic searches for documents with relevant portions. The documents are further analyzed to identify other, new entities which are not included in the entity information document. Entity intelligence reports including information regarding the new entities are also generated. Significant attributes are determined for the entities. The significant attributes are further employed in ranking the new entities so that top ranked new entities are identified. Alerts can be generated based on the information regarding the new entities.Type: ApplicationFiled: November 29, 2018Publication date: April 9, 2020Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITEDInventors: Krishna KUMMAMURU, Arjun Atreya V, Bibudh LAHIRI
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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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Patent number: 10558931Abstract: A mechanism is provided in a data processing system for determining comprehensiveness of a question paper given a syllabus of topics. An answer and evidence generator of a question answering system executing on the data processing system finds one or more answers based on the syllabus of topics for each question in the question paper. The answer and evidence generator identifies evidence for the one or more answers in the syllabus for each question in the question paper. A concept identifier of the question answering system identifies a set of concepts in the syllabus corresponding to the evidence for each question in the question paper to form a plurality of sets of concepts. The mechanism determines a value for a comprehensiveness metric for the question paper with respect to the syllabus of topics based on the plurality of sets of concepts.Type: GrantFiled: July 14, 2016Date of Patent: February 11, 2020Assignee: International Business Machines CorporationInventors: Amit P. Bohra, Krishna Kummamuru, Swapnasarit Sahu, Abhishek Shivkumar
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Publication number: 20190370397Abstract: An AI-based data processing system analyzes a received information request to generate an interactive visualization including data responsive to the information request. The information request is processed to obtain the primary entity and one or more informational items related to the primary entity. Auxiliary entities and informational items related to the primary entity are identified and searches are executed on a knowledge base and the internet. The results from the searches are analyzed to obtain knowledge nuggets which are included into a selected one of a visualization template to generate the interactive visualization. If it is determined via user interactions with the interactive visualization that an informational gap exists between the information request and the data in the interactive visualization, the interactive visualization can be updated to address the informational gap.Type: ApplicationFiled: June 1, 2018Publication date: December 5, 2019Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITEDInventors: Krishna KUMMAMURU, Swati TATA, Guruprasad DASAPPA, Chung-Sheng LI, Madhura SHIVARAM, Vivek CHENNA, Deepak DALWANI, Venkata RAMAKRISHNAP, Mudita SHAH, Chetan N. YADATI