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

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Learning to Paraphrase: An Unsupervised Approach Using Multiple-Sequence Alignment (2003)

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by Regina Barzilay , Lillian Lee

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@MISC{Barzilay03learningto,
    author = {Regina Barzilay and Lillian Lee},
    title = {Learning to Paraphrase: An Unsupervised Approach Using Multiple-Sequence Alignment},
    year = {2003}
}

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Abstract

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.

Keyphrases

multiple-sequence alignment unsupervised approach new sentence unannotated comparable corpus word lattice pair evaluation experiment baseline system accurate paraphrase text-to-text generation problem phenomenon distinct phrase-level paraphrasing

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