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https://scholarbank.nus.edu.sg/handle/10635/40611
DC Field | Value | |
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dc.title | PEM: A paraphrase evaluation metric exploiting parallel texts | |
dc.contributor.author | Liu, C. | |
dc.contributor.author | Dahlmeier, D. | |
dc.contributor.author | Ng, H.T. | |
dc.date.accessioned | 2013-07-04T08:08:18Z | |
dc.date.available | 2013-07-04T08:08:18Z | |
dc.date.issued | 2010 | |
dc.identifier.citation | 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. | |
dc.identifier.isbn | 1932432868 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/40611 | |
dc.description.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. | |
dc.source | Scopus | |
dc.type | Conference Paper | |
dc.contributor.department | COMPUTER SCIENCE | |
dc.description.sourcetitle | EMNLP 2010 - Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference | |
dc.description.page | 923-932 | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Staff Publications |
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