Invention Grant
- Patent Title: Method and device for extracting entity relation based on deep learning, and server
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Application No.: US16128410Application Date: 2018-09-11
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Publication No.: US10664660B2Publication Date: 2020-05-26
- Inventor: Shuangjie Li , Yabing Shi , Haijin Liang , Yang Zhang , Jingfeng Li
- Applicant: Beijing Baidu Netcom Science and Technology Co., Ltd.
- Applicant Address: CN Beijing
- Assignee: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.
- Current Assignee: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.
- Current Assignee Address: CN Beijing
- Agency: Kinney & Lange, P.A.
- Priority: com.zzzhc.datahub.patent.etl.us.BibliographicData$PriorityClaim@c0dcdd7
- Main IPC: G06F17/27
- IPC: G06F17/27 ; G06F40/295 ; G06N3/08 ; G06F40/211 ; G06F40/216 ; G06F40/284

Abstract:
A method and device for extracting entity relation based on deep learning and a server are provided. The method includes: preprocessing a text to be mined, to obtain a sentence with entities in the text to be mined; determining an entity pair in the sentence according to the entities, wherein the entity pair includes at least two entities, and determining candidate relations between entities in the entity pair; and determining an entity relation between the entities in the entity pair from the candidate relations.
Public/Granted literature
- US20190155898A1 METHOD AND DEVICE FOR EXTRACTING ENTITY RELATION BASED ON DEEP LEARNING, AND SERVER Public/Granted day:2019-05-23
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