Learning to Paraphrase: An Unsupervised Approach Using Multiple-Sequence Alignment

Details Learning to Paraphrase: An Unsupervised Approach Using Multiple-Sequence Alignment Learning to Paraphrase: An Unsupervised Approach Using Multiple-Sequence Alignment

2003-04-02

arxiv.org/abs/cs/0304006v1

Computer Science

Computation and Language

Proceedings of HLT-NAACL 2003 (Human Language Technology Conference)

Scientific paper

We address the text-to-text generation problem of sentence-level paraphrasing -- a phenomenon distinct from and more difficult than word- or phrase-level paraphrasing. Our approach applies multiple-sequence alignment to sentences gathered from unannotated comparable corpora: it learns a set of paraphrasing patterns represented by word lattice pairs and automatically determines how to apply these patterns to rewrite new sentences. The results of our evaluation experiments show that the system derives accurate paraphrases, outperforming baseline systems.

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