Combining EM Training and the MDL Principle for an Automatic Verb Classification Incorporating Selectional Preferences

Abstract

This paper presents an innovative, complex approach to semantic verb classification that relies on selectional preferences as verb properties. The probabilistic verb class model underlying the semantic classes is trained by a combination of the EM algorithm and the MDL principle, providing soft clusters with two dimensions (verb senses and subcategorisation… (More)

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