article

A survey of paraphrasing and textual entailment methods

Authors:

Ion Androutsopoulos,

Prodromos MalakasiotisAuthors Info & Claims

Journal of Artificial Intelligence Research, Volume 38, Issue 1

Pages 135 - 187

Published: 01 May 2010 Publication History

Abstract

Paraphrasing methods recognize, generate, or extract phrases, sentences, or longer natural language expressions that convey almost the same information. Textual entailment methods, on the other hand, recognize, generate, or extract pairs of natural language expressions, such that a human who reads (and trusts) the first element of a pair would most likely infer that the other element is also true. Paraphrasing can be seen as bidirectional textual entailment and methods from the two areas are often similar. Both kinds of methods are useful, at least in principle, in a wide range of natural language processing applications, including question answering, summarization, text generation, and machine translation. We summarize key ideas from the two areas by considering in turn recognition, generation, and extraction methods, also pointing to prominent articles and resources.

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A survey of paraphrasing and textual entailment methods

Index terms have been assigned to the content through auto-classification.

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Journal of Artificial Intelligence Research Volume 38, Issue 1

May 2010

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