2001 Presentations (Communicative Events)
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.
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- barzilay_mckeown_01.pdf application/pdf 84.6 KB Download File
More About This Work
- 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