Paper: Learning To Paraphrase: An Unsupervised Approach Using Multiple-Sequence Alignment

ACL ID N03-1003
Title Learning To Paraphrase: An Unsupervised Approach Using Multiple-Sequence Alignment
Venue Human Language Technologies
Session Main Conference
Year 2003
Authors

We address the text-to-text generation prob- lem of sentence-level paraphrasing — a phe- nomenon distinct from and more difficult than word- or phrase-level paraphrasing. Our ap- proach applies multiple-sequence alignment to sentences gathered from unannotated compara- ble corpora: it learns a set of paraphrasing pat- terns represented by word lattice pairs and au- tomatically determines how to apply these pat- terns to rewrite new sentences. The results of our evaluation experiments show that the sys- tem derives accurate paraphrases, outperform- ing baseline systems.