Applying cross-lingual WSD to wordnet development
Marianna Apidianaki, Benoît Sagot · 2012
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.