An Unsupervised Verb Class Disambiguation

We present an unsupervised learning method for disambiguating verbs that belong to more than one Levin verb class (1993) when occurring in a particular syntactic frame. We used examples that contain unambiguous verbs in each verb class as the training data for ambiguous verbs in that class. A Naive Bayesian classifier was employed for the disambiguation task using context words as features. Our experiments suggest that our unsupervised learning method does not match the supervised one in disambiguating Levin verbs, but it consistently outperforms the random baseline model.