As empirically demonstrated by the last SensEval exercises, assigning the appro- priate meaning to words in context has re- sisted all attempts to be successfully ad- dressed. One possible reason could be the use of inappropriate set of meanings. In fact, WordNet has been used as a de-facto standard repository of meanings. How- ever, to our knowledge, the meanings rep- resented by WordNet have been only used for WSD at a very fine-grained sense level or at a very coarse-grained class level. We suspect that selecting the appropriate level of abstraction could be on between both levels. We use a very simple method for deriving a small set of appropriate mean- ings using basic structural properties of WordNet. We also empirically demon- strate that this automatically derived set of meanings g...

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