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公开(公告)号:US10956464B2
公开(公告)日:2021-03-23
申请号:US16231736
申请日:2018-12-24
Inventor: Lei Zou , Tingting Liu , Yanxiong Lu , Huaijun Liu , Ruizhe Huang
IPC: G06F16/33 , G06F16/36 , G06F16/31 , G06F40/242
Abstract: Natural language question answering method and apparatus in the field of information retrieval and processing are provided. The method includes: acquiring a natural language question N; converting the natural language question N into a query semantic graph Qs, each edge in the query semantic graph Qs representing one semantic relation in the natural language question N; searching an RDF graph G for a subgraph matching the query semantic graph Qs; and obtaining an answer to the natural language question N according to the subgraph.
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公开(公告)号:US10235624B2
公开(公告)日:2019-03-19
申请号:US15108758
申请日:2015-06-11
Inventor: Kang Liu , Huaijun Liu , Yanxiong Lu , Juhong Wang , Tingting Liu , Liheng Xu , Jun Zhao
Abstract: An information processing method and apparatus, the method including: training a Deep Neural Network (DNN) by using an evaluation object seed, an evaluation term seed and an evaluation relationship seed (101); at a first input layer, connecting vectors corresponding to a candidate evaluation object, a candidate evaluation term and a candidate evaluation relationship to obtain a first input vector (102); at a first hidden layer, compressing the first input vector to obtain a first middle vector, and at a first output layer, decoding the first middle vector to obtain a first output vector (103); and determining a first output vector whose decoding error value is less than a decoding error value threshold, and determining a candidate evaluation object, a candidate evaluation term and a candidate evaluation relationship corresponding to the determined first output vector as first opinion information (104). By use of the technical solution, precision of extracting opinion information from an evaluation text can be enhanced.
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公开(公告)号:US10210245B2
公开(公告)日:2019-02-19
申请号:US15109698
申请日:2015-03-09
Inventor: Lei Zou , Tingting Liu , Yanxiong Lu , Huaijun Liu , Ruizhe Huang
Abstract: A natural language question answering method and apparatus belong to the field of information retrieval and processing. The method includes: acquiring a natural language question N; converting the natural language question N into a query semantic graph Qs, each edge in the query semantic graph Qs representing one semantic relation in the natural language question N; searching an RDF graph G for a subgraph matching the query semantic graph Qs; and obtaining an answer to the natural language question N according to the subgraph.
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