  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.

Computation and Language;Artificial Intelligence;Information Retrieval;Machine Learning