Exploring the construction of semantic class classifiers for WSD

1. Villarejo, Luis
2. Márquez Villodre, Lluís
3. Rigau Claramunt, Germán

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The aim of this paper is describing the experiments, results achieved and further work, in a novel approach to the Word Sense Disambiguation(WSD) task. This novel approach consists, mainly, in the learning and combination of several semantic class classifiers. So we can not only get WSD systems with coarser granularity than the traditionally offered by WordNet senses, but also systems showing different views of the task which allows us to improve the overall task results

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