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.- Anthology ID:
- L14-1534
- Volume:
- Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)
- Month:
- May
- Year:
- 2014
- Address:
- Reykjavik, Iceland
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association (ELRA)
- Note:
- Pages:
- 1202–1207
- Language:
- URL:
- http://www.lrec-conf.org/proceedings/lrec2014/pdf/679_Paper.pdf
- DOI:
- Cite (ACL):
- Béatrice Daille and Amir Hazem. 2014. Semi-compositional Method for Synonym Extraction of Multi-Word Terms. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 1202–1207, Reykjavik, Iceland. European Language Resources Association (ELRA).
- Cite (Informal):
- Semi-compositional Method for Synonym Extraction of Multi-Word Terms (Daille & Hazem, LREC 2014)
- PDF:
- http://www.lrec-conf.org/proceedings/lrec2014/pdf/679_Paper.pdf