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.
Domains
Computation and Language [cs.CL]
Origin : Files produced by the author(s)
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