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Title: From lexical to semantic features in paraphrase identification
Authors: Fialho, Pedro
Coheur, Luísa
Quaresma, Paulo
Editors: Rodrigues, Ricardo
Janousek, Jan
Ferreira, Luís
Coheur, Luísa
Batista, Fernando
Oliveira, Hugo
Issue Date: 2019
Publisher: OpenAccess Series in Informatics. Schloss Dagstuhl–Leibniz-Zentrum fuer Informatik
Abstract: The task of paraphrase identification has been applied to diverse scenarios in Natural Language Processing, such as Machine Translation, summarization, or plagiarism detection. In this paper we present a comparative study on the performance of lexical, syntactic and semantic features in the task of paraphrase identification in the Microsoft Research Paraphrase Corpus. In our experiments, semantic features do not represent a gain in results, and syntactic features lead to the best results, but only if combined with lexical features.
Type: article
Appears in Collections:INF - Artigos em Livros de Actas/Proceedings

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