Distant Supervision Relation Extraction Combining Attention Mechanism and Ontology

Distant Supervision Relation Extraction Combining Attention Mechanism and Ontology

Relational extraction extracts relationships from unstructured text and outputs them in a structured form. In order to improve the extraction accuracy and reduce the dependence on manual annotation, this paper proposes a distant supervision relationship extraction model based on attention mechanism...

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Bibliographic Details
Main Author: LI Yanjuan, ZANG Mingzhe, LIU Xiaoyan, LIU Yang, GUO Maozu
Format: Article
Language:zho
Published: Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2020-09-01
Series:Jisuanji kexue yu tansuo
Subjects:
relation extraction
ontology
distant supervision
attention mechanism
Online Access:http://fcst.ceaj.org/CN/abstract/abstract2360.shtml

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