This paper focuses on the issue of aspectual variability for the computational modelling of aspectual classes, by using a machine learning approach and a rich morpho-syntactic and semantic valency lexicon.
to previous work, where the aspectual value of corpus clauses is determined at the type (verb) level on the basis of features retrieved from the corpus, we make use of features retrieved from the lexicon in order to predict an aspectual value for each reading of a same verb (as they are delineated in this lexicon).