Web mining for lexical context-specific paraphrasing

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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. © Springer-Verlag Berlin Heidelberg 2006.

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APA

Zhao, S., Liu, T., Yuan, X., Li, S., & Zhang, Y. (2006). Web mining for lexical context-specific paraphrasing. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4182 LNCS, pp. 673–679). Springer Verlag. https://doi.org/10.1007/11880592_61

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