Semantic consistency: A local subspace based method for distant supervised relation extraction

ISCAS OpenIR

	Semantic consistency: A local subspace based method for distant supervised relation extraction
	Han, Xianpei (1); Sun, Le (1)
	2014
会议名称	52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014
页码	718-724
会议日期	June 22, 2014 - June 27, 2014
会议地点	Baltimore, MD, United states
收录类别	EI
出版地	Association for Computational Linguistics (ACL)
ISBN	9781937284732
部门归属	(1) State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, HaiDian District, Beijing, China
摘要	One fundamental problem of distant supervision is the noisy training corpus problem. In this paper, we propose a new distant supervision method, called Semantic Consistency, which can identify reliable instances from noisy instances by inspecting whether an instance is located in a semantically consistent region. Specifically, we propose a semantic consistency model, which first models the local subspace around an instance as a sparse linear combination of training instances, then estimate the semantic consistency by exploiting the characteristics of the local subspace. Experimental results verified the effectiveness of our method. © 2014 Association for Computational Linguistics.; One fundamental problem of distant supervision is the noisy training corpus problem. In this paper, we propose a new distant supervision method, called Semantic Consistency, which can identify reliable instances from noisy instances by inspecting whether an instance is located in a semantically consistent region. Specifically, we propose a semantic consistency model, which first models the local subspace around an instance as a sparse linear combination of training instances, then estimate the semantic consistency by exploiting the characteristics of the local subspace. Experimental results verified the effectiveness of our method. © 2014 Association for Computational Linguistics.
语种	英语
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/16630
专题	中国科学院软件研究所
推荐引用方式 GB/T 7714	Han, Xianpei ,Sun, Le . Semantic consistency: A local subspace based method for distant supervised relation extraction[C]. Association for Computational Linguistics (ACL),2014:718-724.