A supervised learning approach to search of definitions

CASIA OpenIR > 09年以前成果

	A supervised learning approach to search of definitions
	Xu, J ; Cao, YB ; Li, H; Zhao, M; Huang, YL
发表期刊	JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY
	2006-05-01
卷号	21 期号:3 页码:439-449
文章类型	Article
摘要	This paper addresses the issue of search of definitions. Specifically, for a given term, we are to find out its definition candidates and rank the candidates according to their likelihood of being good definitions. This is in contrast to the traditional methods of either generating a single combined definition or outputting all retrieved definitions. Definition ranking is essential for tasks. A specification for judging the goodness of a definition is given. In the specification, a definition is categorized into one of the three levels: good definition, indifferent definition, or bad definition. Methods of performing definition ranking are also proposed in this paper, which formalize the problem as either classification or ordinal regression. We employ SVM (Support Vector Machines) as the classification model and Ranking SVM as the ordinal regression model respectively, and thus they rank definition candidates according to their likelihood of being good definitions. Features for constructing the SVM and Ranking SVM models are defined, which represent the characteristics of terms, definition candidate, and their relationship. Experimental results indicate that the use of SVM and Ranking SVM can significantly outperform the baseline methods such as heuristic rules, the conventional information retrieval-Okapi, or SVM regression. This is true when both the answers are paragraphs and they are sentences. Experimental results also show that SVM or Ranking SVM models trained in one domain can be adapted to another domain, indicating that generic models for definition ranking can be constructed.
关键词	Definition Search Text Mining Web Mining Web Search
WOS标题词	Science & Technology ; Technology
关键词[WOS]	WEB
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Hardware & Architecture ; Computer Science, Software Engineering
WOS记录号	WOS:000238079200019
引用统计	被引频次：1[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/173211/9218
专题	09年以前成果
作者单位	1.Nankai Univ, Coll Software, Tianjin 300071, Peoples R China 2.Microsoft Res Asia, Beijing 100080, Peoples R China 3.Chinese Acad Sci, Inst Automat, Beijing 100080, Peoples R China
推荐引用方式 GB/T 7714	Xu, J,Cao, YB,Li, H,et al. A supervised learning approach to search of definitions[J]. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY,2006,21(3):439-449.
APA	Xu, J,Cao, YB,Li, H,Zhao, M,&Huang, YL.(2006).A supervised learning approach to search of definitions.JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY,21(3),439-449.
MLA	Xu, J,et al."A supervised learning approach to search of definitions".JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY 21.3(2006):439-449.