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	Explore person specific evidence in web person name disambiguation
	Chen, Liwei ; Feng, Yansong ; Zou, Lei ; Zhao, Dongyan
	2012
英文摘要	In this paper, we investigate different usages of feature representations in the web person name disambiguation task which has been suffering from the mismatch of vocabulary and lack of clues in web environments. In literature, the latter receives less attention and remains more challenging. We explore the feature space in this task and argue that collecting person specific evidences from a corpus level can provide a more reasonable and robust estimation for evaluating a feature's importance in a given web page. This can alleviate the lack of clues where discriminative features can be reasonably weighted by taking their corpus level importance into account, not just relying on the current local context. We therefore propose a topic-based model to exploit the person specific global importance and embed it into the person name similarity. The experimental results show that the corpus level topic information provides more stable evidences for discriminative features and our method outperforms the state-of-the-art systems on three WePS datasets. ? 2012 Association for Computational Linguistics.; EI; 0
语种	英语
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/321370]
专题	计算机科学技术研究所
推荐引用方式 GB/T 7714	Chen, Liwei,Feng, Yansong,Zou, Lei,et al. Explore person specific evidence in web person name disambiguation. 2012-01-01.

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