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Extracting paraphrases from a parallel corpus

McKeown, Kathleen; Barzilay, Regina

While paraphrasing is critical both for interpretation and generation of natural language, current systems use manual or semi-automatic methods to collect paraphrases. We present an unsupervised learning algorithm for identification of paraphrases from a corpus of multiple English translations of the same source text. Our approach yields phrasal and single word lexical paraphrases as well as syntactic paraphrases.

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Academic Units
Computer Science
Publisher
Proceedings of the 39th Annual Meeting of the Association for Computational Linguistics (ACL-EACL 2001)
Published Here
May 3, 2013