Web mining for lexical context-specific paraphrasing

Authors:
Shiqi Zhao;Ting Liu;Xincheng Yuan;Sheng Li;Yu Zhang
Affiliations:
Information Retrieval Laboratory, School of Computer Science and Technology, Harbin Institute of Technology, Harbin, P.R. China;Information Retrieval Laboratory, School of Computer Science and Technology, Harbin Institute of Technology, Harbin, P.R. China;Information Retrieval Laboratory, School of Computer Science and Technology, Harbin Institute of Technology, Harbin, P.R. China;Information Retrieval Laboratory, School of Computer Science and Technology, Harbin Institute of Technology, Harbin, P.R. China;Information Retrieval Laboratory, School of Computer Science and Technology, Harbin Institute of Technology, Harbin, P.R. China
Venue:
AIRS'06 Proceedings of the Third Asia conference on Information Retrieval Technology
Year:
2006

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Abstract

In most applications of paraphrasing, contextual information should be considered since a word may have different paraphrases in different contexts. This paper presents a method that automatically acquires lexical context-specific paraphrases from the web. The method includes two main stages, candidate paraphrase extraction and paraphrase validation. Evaluations were conducted on a news title corpus whereby the context-specific paraphrasing method was compared with the Chinese synonymous thesaurus. Results show that the precision of our method is above 60% and the recall is above 55%, which outperforms the thesaurus significantly.