UVAVU: WordNet similarity and lexical patterns for semantic relation classification

Authors:
Willem Robert van Hage;Sophia Katrenko
Affiliations:
TNO Science & Industry, Delft, The Netherlands;University of Amsterdam, Amsterdam, The Netherlands
Venue:
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
Year:
2007

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Abstract

The system we propose to learning semantic relations consists of two parallel components. For our final submission we used components based on the similarity measures defined over WordNet and the patterns extracted from the Web and WMTS. Other components using syntactic structures were explored but not used for the final run.