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公开(公告)号：US20220075951A1
公开(公告)日：2022-03-10
申请号：US17015663
申请日：2020-09-09
发明人： Kyle Croutwater , Zhe Zhang , Vikrant Verma , Le Zhang
IPC分类号： G06F40/30 , G06F16/901
摘要： In an approach to generating and using a sentence model for answer generation, one or more computer processors ingest a first corpus of a plurality of text sentences. One or more computer processors convert the plurality of text sentences into a plurality of sentence vectors. One or more computer processors group the plurality of sentence vectors into a plurality of sentence clusters, wherein a sentence cluster is composed of sentences that are semantically similar. One or more computer processors receive a second corpus. One or more computer processors determine, for each sentence cluster of the plurality of sentence clusters, a frequency each sentence cluster appears in the second corpus. Based on the determined frequency, one or more computer processors calculate a probability of each sentence cluster of the plurality of sentence clusters. Based on the calculated probabilities, one or more computer processors generate a first sentence model.
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公开(公告)号：US10713241B2
公开(公告)日：2020-07-14
申请号：US15619689
申请日：2017-06-12
发明人： Kyle L. Croutwater , Vikrant Verma , Le Zhang , Zhe Zhang
IPC分类号： G06F16/24 , G06F16/2452 , G06F16/242 , G06F16/2455 , G06F40/247 , G06F40/289
摘要： An approach is provided that receives a question at a question answering (QA) system. The question includes a number of words. The approach operates by calculating weights that correspond to search terms included in the plurality of words. The search terms include the plurality of words and may include terms that are one or more sequences of adjacent words included in the question. Based on the calculated weights and the words in the question, the approach generates a query that is used to search a corpus that is managed by the QA system with the search resulting in one or more search results.
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公开(公告)号：US10565508B2
公开(公告)日：2020-02-18
申请号：US14568209
申请日：2014-12-12
发明人： Erinc Merdivan , John A. Riendeau , Michael D. Whitley , Le Zhang
摘要： An approach is provided in which a knowledge manager identifies a first cohort type and a second cohort type corresponding to an entity included in a question. The knowledge manager determines inferred states to the question by comparing a first set of cohort attributes corresponding to a first cohort type against entity attributes corresponding to the question. In turn, the knowledge manager generates possible answers by comparing the inferred states against a second set of cohort attributes corresponding to a second cohort type.
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4.发明授权公开(公告)号：US11188720B2
公开(公告)日：2021-11-30
申请号：US16515318
申请日：2019-07-18
发明人： Kyle Croutwater , Le Zhang , Vikrant Verma , Zhe Zhang
摘要： A computer-implemented method of executing a virtual agent bot includes receiving, via a computer server, at least one input query from a user, and analyzing the at least one input query to extract at least one input term. The method further comprises determining a semantic skill set of the virtual agent bot among a plurality of different candidate skill sets based at least in part on the at least one input term; and invoking the virtual agent bot to provide a semantic topic response corresponding to the semantic skill set to provide an answer to the at least one input query.
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公开(公告)号：US20210012218A1
公开(公告)日：2021-01-14
申请号：US16508038
申请日：2019-07-10
发明人： Kyle Croutwater , Zhe Zhang , Le Zhang , Vikrant Verma
摘要： An approach is provided that selects an original entity from an original knowledge graph. The approach then accesses a data source that is external to the original knowledge graph, such as an online encyclopedia. An entity in the data source is identified based on the entity matching the original entity. A new relation is then identified in the data source between the identified entity and a new entity with the new entity being absent from the original knowledge graph. An expanded knowledge graph is then generated with the expanded knowledge graph formed by adding the new entity to the original knowledge graph.
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公开(公告)号：US20180232374A1
公开(公告)日：2018-08-16
申请号：US15619689
申请日：2017-06-12
发明人： Kyle L. Croutwater , Vikrant Verma , Le Zhang , Zhe Zhang
IPC分类号： G06F17/30
摘要： An approach is provided that receives a question at a question answering (QA) system. The question includes a number of words. The approach operates by calculating weights that correspond to search terms included in the plurality of words. The search terms include the plurality of words and may include terms that are one or more sequences of adjacent words included in the question. Based on the calculated weights and the words in the question, the approach generates a query that is used to search a corpus that is managed by the QA system with the search resulting in one or more search results.
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公开(公告)号：US20180232373A1
公开(公告)日：2018-08-16
申请号：US15430597
申请日：2017-02-13
发明人： Kyle L. Croutwater , Vikrant Verma , Le Zhang , Zhe Zhang
IPC分类号： G06F17/30
摘要： An approach is provided that receives a question at a question answering (QA) system. The question includes a number of words. The approach operates by calculating weights that correspond to search terms included in the plurality of words. The search terms include the plurality of words and may include terms that are one or more sequences of adjacent words included in the question. Based on the calculated weights and the words in the question, the approach generates a query that is used to search a corpus that is managed by the QA system with the search resulting in one or more search results.
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公开(公告)号：US20160378851A1
公开(公告)日：2016-12-29
申请号：US14749733
申请日：2015-06-25
IPC分类号： G06F17/30
摘要： Mechanisms are provided for processing a knowledge canvassing request. The mechanisms receive a request specifying an entity of interest from an originator of the request and analyze the request to extract a feature of the request. The mechanisms determine whether the request is a targeted natural language question to be answered or a knowledge canvassing request, based on the extracted feature. In response to determining that the request is a knowledge canvassing request, the mechanisms process the request by identifying entities represented in a knowledge graph data structure as being related to the entity of interest. The mechanisms output results of the processing of the request to the originator of the request.
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公开(公告)号：US20160171376A1
公开(公告)日：2016-06-16
申请号：US14568209
申请日：2014-12-12
发明人： Erinc Merdivan , John A. Riendeau , Michael D. Whitley , Le Zhang
CPC分类号： G06N5/04 , G06F16/3329 , G06N7/005 , G06N20/00
摘要： An approach is provided in which a knowledge manager identifies a first cohort type and a second cohort type corresponding to an entity included in a question. The knowledge manager determines inferred states to the question by comparing a first set of cohort attributes corresponding to a first cohort type against entity attributes corresponding to the question. In turn, the knowledge manager generates possible answers by comparing the inferred states against a second set of cohort attributes corresponding to a second cohort type.
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公开(公告)号：US11704497B2
公开(公告)日：2023-07-18
申请号：US17015663
申请日：2020-09-09
发明人： Kyle Croutwater , Zhe Zhang , Vikrant Verma , Le Zhang
IPC分类号： G06F40/30 , G06F16/901
CPC分类号： G06F40/30 , G06F16/9024
摘要： In an approach to generating and using a sentence model for answer generation, one or more computer processors ingest a first corpus of a plurality of text sentences. One or more computer processors convert the plurality of text sentences into a plurality of sentence vectors. One or more computer processors group the plurality of sentence vectors into a plurality of sentence clusters, wherein a sentence cluster is composed of sentences that are semantically similar. One or more computer processors receive a second corpus. One or more computer processors determine, for each sentence cluster of the plurality of sentence clusters, a frequency each sentence cluster appears in the second corpus. Based on the determined frequency, one or more computer processors calculate a probability of each sentence cluster of the plurality of sentence clusters. Based on the calculated probabilities, one or more computer processors generate a first sentence model.
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