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Semi-compositional Method for Synonym Extraction of Multi-Word Terms

Amir Hazem 1 Béatrice Daille 2, *
* Corresponding author
2 TALN
LINA - Laboratoire d'Informatique de Nantes Atlantique
Abstract : Automatic synonyms and semantically related word extraction is a challenging task, useful in many NLP applications such as question answering, search query expansion, text summarization, etc. While different studies addressed the task of word synonym extraction, only a few investigations tackled the problem of acquiring synonyms of multi-word terms (MWT) from specialized corpora. To extract pairs of synonyms of multi-word terms, we propose in this paper an unsupervised semi-compositional method that makes use of distributional semantics and exploit the compositional property shared by most MWT. We show that our method outperforms significantly the state-of-the-art.
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Submitted on : Thursday, July 2, 2015 - 6:40:32 PM
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Long-term archiving on: : Tuesday, April 25, 2017 - 10:13:54 PM

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Amir Hazem, Béatrice Daille. Semi-compositional Method for Synonym Extraction of Multi-Word Terms. 9th edition of the Language Resources and Evaluation Conference (LREC 2014), ELRA, May 2014, Reykjavik, Iceland. ⟨hal-01171093⟩

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