Acquiring Lexical Paraphrases from a Single Corpus
Oren Glickman, Ido Dagan

TL;DR
This paper introduces a novel method for extracting lexical paraphrases, specifically verb paraphrases, from a single corpus without relying on comparable corpora or prior structure, enhancing paraphrase detection capabilities.
Contribution
The paper presents a new approach that detects isolated lexical paraphrases within a single corpus, bypassing the need for comparable corpora or pre-existing structural information.
Findings
Instance-based approach can be combined with vector-based methods.
Method effectively detects isolated verb paraphrases.
Potential for improved paraphrase likelihood assessment.
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.
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