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	Using lexical and thematic knowledge for name disambiguation
	Wang, Jinpeng ; Zhao, Wayne Xin ; Yan, Rui ; Wei, Haitian ; Nie, Jian-Yun ; Li, Xiaoming
	2012
英文摘要	In this paper we present a novel approach to disambiguate names based on two different types of semantic information: lexical and thematic. We propose to use translation-based language models to resolve the synonymy problem in every word match, and to use topic-based ranking function to capture rich thematic contexts for names. We test three ranking functions that combine lexical relatedness and thematic relatedness. The experiments on Wikipedia data set and TAC-KBP 2010 data set show that our proposed method is very effective for name disambiguation. ? Springer-Verlag 2012.; EI; 0
语种	英语
DOI标识	10.1007/978-3-642-35341-3_7
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/294588]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Wang, Jinpeng,Zhao, Wayne Xin,Yan, Rui,et al. Using lexical and thematic knowledge for name disambiguation. 2012-01-01.

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