- 专利标题: Utilizing word embeddings for term matching in question answering systems
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申请号: US16546770申请日: 2019-08-21
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公开(公告)号: US11288295B2公开(公告)日: 2022-03-29
- 发明人: James J. Fan , Chang Wang , Bing Xiang , Bowen Zhou
- 申请人: Green Market Square Limited
- 申请人地址: VG Road Town
- 专利权人: Green Market Square Limited
- 当前专利权人: Green Market Square Limited
- 当前专利权人地址: VG Road Town
- 代理机构: Van Pelt, Yi & James LLP
- 主分类号: G06N20/00
- IPC分类号: G06N20/00 ; G06N3/08 ; G06N3/04 ; G06F16/33 ; G06F16/31 ; G06F16/2457 ; G06F16/332 ; G06F40/30 ; G06N7/00
摘要:
Software that generates an answer to an input question using a source document by performing the following operations: (i) receiving a question; (ii) generating a plurality of vectors including a first vector representation of a term in the question and a second vector representation of a term in a source document; (iii) providing each dimension of each of the first vector representation and the second vector representation into a respective input node of an artificial neural network; (iv) determining whether the source document is relevant to answering the question based, at least in part, on an output generated by the artificial neural network; and (v) in response to determining that the source document is relevant, generating an answer to the question utilizing the source document.
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