A feature-enriched tree kernel for relation extraction

ISCAS OpenIR

	A feature-enriched tree kernel for relation extraction
	Sun, Le (1); Han, Xianpei (1)
	2014
会议名称	52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014
页码	61-67
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	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.; 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.
语种	英语
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/16572
专题	中国科学院软件研究所
推荐引用方式 GB/T 7714	Sun, Le ,Han, Xianpei . A feature-enriched tree kernel for relation extraction[C]. Association for Computational Linguistics (ACL),2014:61-67.