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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