Presentations (Communicative Events)

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.


More About This Work

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