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Title:
Semantic consistency: A local subspace based method for distant supervised relation extraction
Author: Han, Xianpei (1) ; Sun, Le (1)
Conference Name: 52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014
Conference Date: June 22, 2014 - June 27, 2014
Issued Date: 2014
Conference Place: Baltimore, MD, United states
Publish Place: Association for Computational Linguistics (ACL)
Indexed Type: EI
ISBN: 9781937284732
Department: (1) State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, HaiDian District, Beijing, China
Abstract: 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.
English Abstract: 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.
Language: 英语
Content Type: 会议论文
URI: http://ir.iscas.ac.cn/handle/311060/16630
Appears in Collections:软件所图书馆_会议论文

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Recommended Citation:
Han, Xianpei ,Sun, Le . Semantic consistency: A local subspace based method for distant supervised relation extraction[C]. 见:52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014. Baltimore, MD, United states. June 22, 2014 - June 27, 2014.
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