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	CM-PMI: Improved web-based association measure with contextual label matching
	Xiaojun, Wan
	2008
英文摘要	Web PMI is a popular web-based association measure to evaluate the semantic similarity between two queries (i.e. words or entities) by leveraging search results returned by search engines. This paper proposes a novel measure named CM-PMI to evaluate query similarity at a finer granularity than Web PMI, under the assumption that a query is usually associated with more than one aspect and two queries are deemed semantically related if their associated aspect sets are highly consistent with each other. CM-PMI first extracts contextual labels from search results to represent the aspects of a query, and then uses the optimal matching method to assess the consistency between the aspects of two queries. Experimental results on the benchmark Miller Charles' dataset demonstrate the good effectiveness of the proposed CM-PMI measure. Moreover, we further fuse Web PMI and CM-PMI to obtain improved results.; EI; 0
语种	英语
DOI标识	10.1145/1367497.1367665
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/321473]
专题	计算机科学技术研究所
推荐引用方式 GB/T 7714	Xiaojun, Wan. CM-PMI: Improved web-based association measure with contextual label matching. 2008-01-01.

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