Summary of the paper
| Title | Semi-Compositional Method for Synonym Extraction of Multi-Word Terms |
|---|---|
| Authors | Béatrice Daille and Amir Hazem |
| 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. |
| Topics | Semantics |
Full paper  |
Semi-Compositional Method for Synonym Extraction of Multi-Word Terms |
| Bibtex | @InProceedings{DAILLE14.679, author = {Béatrice Daille and Amir Hazem}, title = {Semi-Compositional Method for Synonym Extraction of Multi-Word Terms}, booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)}, year = {2014}, month = {may}, date = {26-31}, address = {Reykjavik, Iceland}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Hrafn Loftsson and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis}, publisher = {European Language Resources Association (ELRA)}, isbn = {978-2-9517408-8-4}, language = {english} } |