Summary of the paper

Title Applying cross-lingual WSD to wordnet development
Authors Marianna Apidianaki and 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.
Topics Lexicon, lexical database, Semantics, Word Sense Disambiguation
Full paper Applying cross-lingual WSD to wordnet development
Bibtex @InProceedings{APIDIANAKI12.478,
  author = {Marianna Apidianaki and Benoît Sagot},
  title = {Applying cross-lingual WSD to wordnet development},
  booktitle = {Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12)},
  year = {2012},
  month = {may},
  date = {23-25},
  address = {Istanbul, Turkey},
  editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Mehmet Uğur Doğan and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {978-2-9517408-7-7},
  language = {english}
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