Linking Dutch Wikipedia Categories to EuroWordNet
Gosse Bouma, Barbara Plank, Erik Tjong Kim Sang, T. de Van Cruys · University of Groningen research database (University of Groningen / Centre for Information Technology) · 2009
Wikipedia provides category information for a large number of named entities but the category structure of Wikipedia is associative, and not always suitable for linguistic applications. For this reason, a merger of Wikipedia andWordNet has been proposed. In this paper, we address the word sense disambiguation problem that needs to be solved when linking Dutch Wikipedia categories to polysemous Dutch EuroWordNet literals. We show that a method based on automatically acquired predominant word senses outperforms a method based on word overlap between Wikipedia supercategories and WordNet hypernyms. We compare the coverage of the resulting categorization with that of a corpus-based system that uses automatically acquired category labels.