Semantic clustering of pivot paraphrases

International audience Paraphrases extracted from parallel corpora by the pivot method (Bannard and Callison-Burch, 2005) constitute a valuable resource for multilingual NLP applications. In this study, we analyse the semantics of unigram pivot paraphrases and use a graph-based sense induction appro...

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Bibliographic Details
Main Authors: Apidianaki, Marianna, Verzeni, Emilia, McCarthy, Diana
Other Authors: Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur (LIMSI), Université Paris Saclay (COmUE)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université - UFR d'Ingénierie (UFR 919), Sorbonne Université (SU)-Sorbonne Université (SU)-Université Paris-Saclay-Université Paris-Sud - Paris 11 (UP11)
Format: Conference Object
Language:English
Published: HAL CCSD 2014
Subjects:
parallel corpora
sense clustering
pivot paraphrasing
[INFO]Computer Science [cs]
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]
Burch
McCarthy
Pivot
Iceland
Online Access:https://hal.archives-ouvertes.fr/hal-01838559
Description
Summary:International audience Paraphrases extracted from parallel corpora by the pivot method (Bannard and Callison-Burch, 2005) constitute a valuable resource for multilingual NLP applications. In this study, we analyse the semantics of unigram pivot paraphrases and use a graph-based sense induction approach to unveil hidden sense distinctions in the paraphrase sets. The comparison of the acquired senses to gold data from the Lexical Substitution shared task (McCarthy and Navigli, 2007) demonstrates that sense distinctions exist in the paraphrase sets and highlights the need for a disambiguation step in applications using this resource.

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