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Applying cross-lingual WSD to wordnet development

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, eventually 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 development, in order to fill synsets that did not contain any literal yet.
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Submitted on : Thursday, May 31, 2012 - 9:40:51 PM
Last modification on : Saturday, June 25, 2022 - 10:06:57 PM
Long-term archiving on: : Thursday, December 15, 2016 - 9:17:40 AM


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  • HAL Id : hal-00703126, version 1


Marianna Ma Apidianaki, Benoît Sagot. Applying cross-lingual WSD to wordnet development. LREC 2012 - Eighth International Conference on Language Resources and Evaluation, May 2012, Istanbul, Turkey. ⟨hal-00703126⟩



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