Distant supervision for relation extraction with hierarchical selective attention

doi:10.1016/j.neunet.2018.08.016

	Distant supervision for relation extraction with hierarchical selective attention
	Zhou, Peng; Xu, Jiaming; Qi, Zhenyu; Bao, Hongyun; Chen, Zhineng; Xu, Bo
发表期刊	NEURAL NETWORKS
ISSN	0893-6080
	2018-12-01
卷号	108 页码:240-247
摘要	Distant supervised relation extraction is an important task in the field of natural language processing. There are two main shortcomings for most state-of-the-art methods. One is that they take all sentences of an entity pair as input, which would result in a large computational cost. But in fact, few of most relevant sentences are enough to recognize the relation of an entity pair. To tackle these problems, we propose a novel hierarchical selective attention network for relation extraction under distant supervision. Our model first selects most relevant sentences by taking coarse sentence-level attention on all sentences of an entity pair and then employs word-level attention to construct sentence representations and fine sentence-level attention to aggregate these sentence representations. Experimental results on a widely used dataset demonstrate that our method performs significantly better than most of existing methods. (C) 2018 Elsevier Ltd. All rights reserved.
关键词	Relation extraction Distant supervision Hierarchical attention Piecewise convolutional neural networks
DOI	10.1016/j.neunet.2018.08.016
关键词[WOS]	NEURAL-NETWORKS
收录类别	SCI
语种	英语
资助项目	Strategic Priority Research Program of the Chinese Academy of Sciences[XDBS01070000] ; National Natural Science Foundation of China[61702514] ; National Natural Science Foundation of China[61602479] ; National High Technology Research and Development Program of China (863 Program)[2015AA015402] ; National High Technology Research and Development Program of China (863 Program)[2015AA015402] ; National Natural Science Foundation of China[61602479] ; National Natural Science Foundation of China[61702514] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDBS01070000]
WOS研究方向	Computer Science ; Neurosciences & Neurology
WOS类目	Computer Science, Artificial Intelligence ; Neurosciences
WOS记录号	WOS:000450298900017
出版者	PERGAMON-ELSEVIER SCIENCE LTD
引用统计	被引频次：37[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/40778
专题	复杂系统认知与决策实验室_听觉模型与认知计算
推荐引用方式 GB/T 7714	Zhou, Peng,Xu, Jiaming,Qi, Zhenyu,et al. Distant supervision for relation extraction with hierarchical selective attention[J]. NEURAL NETWORKS,2018,108:240-247.
APA	Zhou, Peng,Xu, Jiaming,Qi, Zhenyu,Bao, Hongyun,Chen, Zhineng,&Xu, Bo.(2018).Distant supervision for relation extraction with hierarchical selective attention.NEURAL NETWORKS,108,240-247.
MLA	Zhou, Peng,et al."Distant supervision for relation extraction with hierarchical selective attention".NEURAL NETWORKS 108(2018):240-247.