Sentence similarity measure based on events and content words

Authors:
Jian-fang Shan;Zong-tian Liu;Wen Zhou
Affiliations:
School of Computer Engineering and Science, Shanghai University, Shanghai, China;School of Computer Engineering and Science, Shanghai University, Shanghai, China;School of Computer Engineering and Science, Shanghai University, Shanghai, China
Venue:
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 7
Year:
2009

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Abstract

Similarity between sentences plays an important role in a variety of applications of natural language process. The paper proposes a novel method to calculate sentence similarity, which takes into account both semantic and syntax: measuring semantic similarity based on events, measuring syntactic similarity based on content words sequence. Our experimental results show that the method is reasonable and effective.