Extracting Paraphrases from a Parallel Corpus

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.

• Type: Conference
• Year: 2001
• Where: ACL
• Authors: Regina Barzilay, Kathleen McKeown
• Keywords: ACL 2001, ACL 2007, Approach Yields Phrasal, Syntactic Paraphrases, Word Lexical Paraphrases