Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/40611
Title: PEM: A paraphrase evaluation metric exploiting parallel texts
Authors: Liu, C.
Dahlmeier, D.
Ng, H.T. 
Issue Date: 2010
Source: Liu, C.,Dahlmeier, D.,Ng, H.T. (2010). PEM: A paraphrase evaluation metric exploiting parallel texts. EMNLP 2010 - Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference : 923-932. ScholarBank@NUS Repository.
Abstract: We present PEM, the first fully automatic metric to evaluate the quality of paraphrases, and consequently, that of paraphrase generation systems. Our metric is based on three criteria: adequacy, fluency, and lexical dissimilarity. The key component in our metric is a robust and shallow semantic similarity measure based on pivot language N-grams that allows us to approximate adequacy independently of lexical similarity. Human evaluation shows that PEM achieves high correlation with human judgments. © 2010 Association for Computational Linguistics.
Source Title: EMNLP 2010 - Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference
URI: http://scholarbank.nus.edu.sg/handle/10635/40611
ISBN: 1932432868
Appears in Collections:Staff Publications

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