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Title:
A feature-enriched tree kernel for relation extraction
Author: Sun, Le (1) ; Han, Xianpei (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: Tree kernel is an effective technique for relation extraction. However, the traditional syntactic tree representation is often too coarse or ambiguous to accurately capture the semantic relation information between two entities. In this paper, we propose a new tree kernel, called feature-enriched tree kernel (FTK), which can enhance the traditional tree kernel by: 1) refining the syntactic tree representation by annotating each tree node with a set of discriminant features; and 2) proposing a new tree kernel which can better measure the syntactic tree similarity by taking all features into consideration. Experimental results show that our method can achieve a 5.4% F-measure improvement over the traditional convolution tree kernel. © 2014 Association for Computational Linguistics.
English Abstract: Tree kernel is an effective technique for relation extraction. However, the traditional syntactic tree representation is often too coarse or ambiguous to accurately capture the semantic relation information between two entities. In this paper, we propose a new tree kernel, called feature-enriched tree kernel (FTK), which can enhance the traditional tree kernel by: 1) refining the syntactic tree representation by annotating each tree node with a set of discriminant features; and 2) proposing a new tree kernel which can better measure the syntactic tree similarity by taking all features into consideration. Experimental results show that our method can achieve a 5.4% F-measure improvement over the traditional convolution tree kernel. © 2014 Association for Computational Linguistics.
Language: 英语
Content Type: 会议论文
URI: http://ir.iscas.ac.cn/handle/311060/16572
Appears in Collections:软件所图书馆_会议论文

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Recommended Citation:
Sun, Le ,Han, Xianpei . A feature-enriched tree kernel for 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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