Applying cross-lingual WSD to wordnet development

Abstract

International audienceThe 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