English

Acquiring Lexical Paraphrases from a Single Corpus

Computation and Language 2007-05-23 v1 Artificial Intelligence Information Retrieval Machine Learning

Abstract

This paper studies the potential of identifying lexical paraphrases within a single corpus, focusing on the extraction of verb paraphrases. Most previous approaches detect individual paraphrase instances within a pair (or set) of comparable corpora, each of them containing roughly the same information, and rely on the substantial level of correspondence of such corpora. We present a novel method that successfully detects isolated paraphrase instances within a single corpus without relying on any a-priori structure and information. A comparison suggests that an instance-based approach may be combined with a vector based approach in order to assess better the paraphrase likelihood for many verb pairs.

Keywords

Cite

@article{arxiv.cs/0312058,
  title  = {Acquiring Lexical Paraphrases from a Single Corpus},
  author = {Oren Glickman and Ido Dagan},
  journal= {arXiv preprint arXiv:cs/0312058},
  year   = {2007}
}
R2 v1 2026-07-22T12:21:42.609Z