Patents by Inventor Jian-Yun Nie
Jian-Yun Nie 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: 10536402Abstract: Examples are generally directed towards context-sensitive generation of conversational responses. Context-message-response n-tuples are extracted from at least one source of conversational data to generate a set of training context-message-response n-tuples. A response generation engine is trained on the set of training context-message-response n-tuples. The trained response generation engine automatically generates a context-sensitive response based on a user generated input message and conversational context data. A digital assistant utilizes the trained response generation engine to generate context-sensitive, natural language responses that are pertinent to user queries.Type: GrantFiled: August 24, 2018Date of Patent: January 14, 2020Assignee: Microsoft Technology Licensing, LLCInventors: Michel Galley, Alessandro Sordoni, Christopher John Brockett, Jianfeng Gao, William Brennan Dolan, Yangfeng Ji, Michael Auli, Margaret Ann Mitchell, Jian-Yun Nie
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Publication number: 20180367475Abstract: Examples are generally directed towards context-sensitive generation of conversational responses. Context-message-response n-tuples are extracted from at least one source of conversational data to generate a set of training context-message-response n-tuples. A response generation engine is trained on the set of training context-message-response n-tuples. The trained response generation engine automatically generates a context-sensitive response based on a user generated input message and conversational context data. A digital assistant utilizes the trained response generation engine to generate context-sensitive, natural language responses that are pertinent to user queries.Type: ApplicationFiled: August 24, 2018Publication date: December 20, 2018Inventors: Michel GALLEY, Alessandro SORDONI, Christopher John BROCKETT, Jianfeng GAO, William Brennan DOLAN, Yangfeng JI, Michael AULI, Margaret Ann MITCHELL, Jian-Yun NIE
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Patent number: 10091140Abstract: Examples are generally directed towards context-sensitive generation of conversational responses. Context-message-response n-tuples are extracted from at least one source of conversational data to generate a set of training context-message-response n-tuples. A response generation engine is trained on the set of training context-message-response n-tuples. The trained response generation engine automatically generates a context-sensitive response based on a user generated input message and conversational context data. A digital assistant utilizes the trained response generation engine to generate context-sensitive, natural language responses that are pertinent to user queries.Type: GrantFiled: May 31, 2015Date of Patent: October 2, 2018Assignee: MICROSOFT TECHNOLOGY LICENSING, LLCInventors: Michel Galley, Alessandro Sordoni, Christopher John Brockett, Jianfeng Gao, William Brennan Dolan, Yangfeng Ji, Michael Auli, Margaret Ann Mitchell, Jian-Yun Nie
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Publication number: 20160352656Abstract: Examples are generally directed towards context-sensitive generation of conversational responses. Context-message-response n-tuples are extracted from at least one source of conversational data to generate a set of training context-message-response n-tuples. A response generation engine is trained on the set of training context-message-response n-tuples. The trained response generation engine automatically generates a context-sensitive response based on a user generated input message and conversational context data. A digital assistant utilizes the trained response generation engine to generate context-sensitive, natural language responses that are pertinent to user queries.Type: ApplicationFiled: May 31, 2015Publication date: December 1, 2016Inventors: Michel GALLEY, Alessandro SORDONI, Christopher John BROCKETT, Jianfeng GAO, III, William Brennan DOLAN, Yangfeng JI, Michael AULI, Margaret Ann MITCHELL, Jian-Yun NIE
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Publication number: 20100318531Abstract: Described is a technology for using clickthrough data (e.g., based on data of a query log) in learning a ranking model that may be used in online ranking of search results. Clickthrough data, which is typically sparse (because many documents are often not clicked or rarely clicked), is processed/smoothed into smoothed clickthrough streams. The processing includes determining similar queries for a document with incomplete (insufficient) clickthrough data to provide expanded clickthrough data for that document, and/or by estimating at least one clickthrough feature for a document when that document has missing (e.g., no) clickthrough data. Similar queries may be determined by random walk clustering and/or session-based query analysis. Features extracted from the clickthrough streams may be used to provide a ranking model which may then be used in online ranking of documents that are located with respect to a query.Type: ApplicationFiled: June 10, 2009Publication date: December 16, 2010Applicant: Microsoft CorporationInventors: Jianfeng Gao, Xiao Li, Kefeng Deng, Wei Yuan, Jian-Yun Nie
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Patent number: 7725442Abstract: A probability distribution for a reference summary of a document is determined. The probability distribution for the reference summary is then used to generate a score for a machine-generated summary of the document.Type: GrantFiled: February 6, 2007Date of Patent: May 25, 2010Assignee: Microsoft CorporationInventors: Chin-Yew Lin, Jianfeng Gao, Guihong Cao, Jian-Yun Nie
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Patent number: 7523105Abstract: Systems and methods for clustering Web queries are described. In one aspect, one or more of a same document and a plurality of similar documents selected by a user in response to a plurality of queries is identified. Responsive to this identification, a query cluster is generated. The cleric the query cluster indicates that the queries are similar independent of whether individual ones of the queries comprise similar composition with respect to other ones of the queries.Type: GrantFiled: February 23, 2006Date of Patent: April 21, 2009Assignee: Microsoft CorporationInventors: Ji-Rong Wen, Jian-Yun Nie, Mingjing Li, Hong-Jiang Zhang
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Publication number: 20080189074Abstract: A probability distribution for a reference summary of a document is determined. The probability distribution for the reference summary is then used to generate a score for a machine-generated summary of the document.Type: ApplicationFiled: February 6, 2007Publication date: August 7, 2008Applicant: MICROSOFT CORPORATIONInventors: Chin-Yew Lin, Jianfeng Gao, Guihong Cao, Jian-Yun Nie
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Patent number: 7149732Abstract: The described subject matter provides systems and procedures to make query similarity determinations, wherein the queries are used in information retrieval operations. A same document and/or multiple similar documents are identified that have been selected by a user in response to multiple queries. Responsive to identifying the same document and/or the similar documents, a query cluster is generated that indicates that the queries used to obtain the same and/or similar documents. This is accomplished in a manner that is independent of whether individual ones of the queries are compositionally similar with respect to other ones of the queries.Type: GrantFiled: October 12, 2001Date of Patent: December 12, 2006Assignee: Microsoft CorporationInventors: Ji-Rong Wen, Jian-Yun Nie, Ming-Jing Li, Hong-Jiang Zhang
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Publication number: 20060136455Abstract: Systems and methods for clustering Web queries are described. In one aspect, one or more of a same document and a plurality of similar documents selected by a user in response to a plurality of queries is identified. Responsive to this identification, a query cluster is generated. The cleric the query cluster indicates that the queries are similar independent of whether individual ones of the queries comprise similar composition with respect to other ones of the queries.Type: ApplicationFiled: February 23, 2006Publication date: June 22, 2006Applicant: Microsoft CorporationInventors: Ji-Rong Wen, Jian-Yun Nie, Ming-Jing Li, Hong-Jiang Zhang
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Publication number: 20030144994Abstract: The described subject matter provides systems and procedures to make query similarity determinations, wherein the queries are used in information retrieval operations. A same document and/or multiple similar documents are identified that have been selected by a user in response to multiple queries. Responsive to identifying the same document and/or the similar documents, a query cluster is generated that indicates that the queries used to obtain the same and/or similar documents. This is accomplished in a manner that is independent of whether individual ones of the queries are compositionally similar with respect to other ones of the queries.Type: ApplicationFiled: October 12, 2001Publication date: July 31, 2003Inventors: Ji-Rong Wen, Jian-Yun Nie, Ming-Jing Li, Hong-Jiang Zhang