Abstract
The automatic development of semantic resources constitutes an important challenge in the NLP community. The methods used generally exploit existing large-scale resources, such as Princeton WordNet, often combined with information extracted from multilingual resources and parallel corpora. In this paper we show how Cross-Lingual Word Sense Disambiguation can be applied to wordnet development. We apply the proposed method to WOLF, a free wordnet for French still under construction, in order to fill synsets that did not contain any literal yet and increase its coverage.- Anthology ID:
- L12-1258
- Volume:
- Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)
- Month:
- May
- Year:
- 2012
- Address:
- Istanbul, Turkey
- Editors:
- Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Mehmet Uğur Doğan, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association (ELRA)
- Note:
- Pages:
- 833–840
- Language:
- URL:
- http://www.lrec-conf.org/proceedings/lrec2012/pdf/478_Paper.pdf
- DOI:
- Cite (ACL):
- Marianna Apidianaki and Benoît Sagot. 2012. Applying cross-lingual WSD to wordnet development. In Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12), pages 833–840, Istanbul, Turkey. European Language Resources Association (ELRA).
- Cite (Informal):
- Applying cross-lingual WSD to wordnet development (Apidianaki & Sagot, LREC 2012)
- PDF:
- http://www.lrec-conf.org/proceedings/lrec2012/pdf/478_Paper.pdf