中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A survey on neural relation extraction

文献类型:期刊论文

作者Liu Kang1,2
刊名SCIENCE CHINA-TECHNOLOGICAL SCIENCES
出版日期2020-09-15
页码19
关键词knowledge graph relation extraction event extraction and information extraction
ISSN号1674-7321
DOI10.1007/s11431-020-1673-6
通讯作者Liu Kang(kliu@nlpr.ia.ac.cn)
英文摘要Relation extraction is a key task for knowledge graph construction and natural language processing, which aims to extract meaningful relational information between entities from plain texts. With the development of deep learning, many neural relation extraction models were proposed recently. This paper introduces a survey on the task of neural relation extraction, including task description, widely used evaluation datasets, metrics, typical methods, challenges and recent research progresses. We mainly focus on four recent research problems: (1) how to learn the semantic representations from the given sentences for the target relation, (2) how to train a neural relation extraction model based on insufficient labeled instances, (3) how to extract relations across sentences or in a document and (4) how to jointly extract relations and corresponding entities? Finally, we give out our conclusion and future research issues.
资助项目National Natural Science Foundation of China[61922085] ; National Natural Science Foundation of China[61533018] ; Natural Key R&D Program of China[2018YFC0830101] ; Key Research Program of the Chinese Academy of Sciences[ZDBS-SSW-JSC006] ; Beijing Academy of Artificial Intelligence[BAAI2019QN0301] ; Open Project of Beijing Key Laboratory of Mental Disorders[2019JSJB06] ; independent research project of National Laboratory of Pattern Recognition
WOS研究方向Engineering ; Materials Science
语种英语
WOS记录号WOS:000571751900001
出版者SCIENCE PRESS
资助机构National Natural Science Foundation of China ; Natural Key R&D Program of China ; Key Research Program of the Chinese Academy of Sciences ; Beijing Academy of Artificial Intelligence ; Open Project of Beijing Key Laboratory of Mental Disorders ; independent research project of National Laboratory of Pattern Recognition
源URL[http://ir.ia.ac.cn/handle/173211/42002]  
专题模式识别国家重点实验室_自然语言处理
通讯作者Liu Kang
作者单位1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714
Liu Kang. A survey on neural relation extraction[J]. SCIENCE CHINA-TECHNOLOGICAL SCIENCES,2020:19.
APA Liu Kang.(2020).A survey on neural relation extraction.SCIENCE CHINA-TECHNOLOGICAL SCIENCES,19.
MLA Liu Kang."A survey on neural relation extraction".SCIENCE CHINA-TECHNOLOGICAL SCIENCES (2020):19.

入库方式: OAI收割

来源:自动化研究所

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