Semantic clustering of pivot paraphrases

• 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

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.