Work

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

Year: 2014

Type: conference-paper

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.

Source: Language Resources and Evaluation Conference (LREC)

DOI: 10.63317/47i8vz27yvs6

Authors: Béatrice Daille, Amir Hazem

Institutions: Laboratoire d'informatique de Nantes Atlantique, Université de Nantes, Nantes Université

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funder: Agence Nationale de la Recherche

Awards: Knowledge Rrich Context for Terminology Translation, G6702880738