Assigning verbs to semantic classes via WordNet

Authors:
Anna Korhonen
Affiliations:
University of Cambridge, Cambridge, UK
Venue:
SEMANET '02 Proceedings of the 2002 workshop on Building and using semantic networks - Volume 11
Year:
2002

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Abstract

We propose a method for semi-automatic classification of verbs to Levin classes via the semantic network of WordNet. The method involves first classifying entire WordNet senses to semantic classes and then classifying individual verbs on the basis of their WordNet senses. We report evaluation which shows that the method can be used to build a verb classification accurate enough for practical NLP use. The WordNet-Levin mapping produced as a by-product, may, in turn, be used to supplement WordNet with novel information.