Applying cross-lingual WSD to wordnet development

Marianna Apidianaki, Benoît Sagot


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:
Bibkey:
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)
Copy Citation:
PDF:
http://www.lrec-conf.org/proceedings/lrec2012/pdf/478_Paper.pdf