Invention Grant
- Patent Title: Utilizing word embeddings for term matching in question answering systems
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Application No.: US15181931Application Date: 2016-06-14
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Publication No.: US10467270B2Publication Date: 2019-11-05
- Inventor: James J. Fan , Chang Wang , Bing Xiang , Bowen Zhou
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agent William H. Hartwell
- Main IPC: G06N20/00
- IPC: G06N20/00 ; G06N7/00 ; G06F16/33 ; G06F16/31 ; G06F16/2457 ; G06F17/27 ; G06F16/332 ; G06N3/04 ; G06N3/08

Abstract:
Software that compares vector representations of question terms and passage terms in question answering systems by performing the following steps: (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 set of natural language text; (iii) generating a similarity score representing an amount of similarity between the first vector representation and the second vector representation; and (iv) determining whether the set of natural language text is relevant to the question based, at least in part, on the generated similarity score.
Public/Granted literature
- US20160357855A1 Utilizing Word Embeddings for Term Matching in Question Answering Systems Public/Granted day:2016-12-08
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