- Qualia structures and their impact on the concrete noun categorization task
- 20th European Summer School in Logic, Language and Information (ESSLLI 2008), Hamburg, Germany
- Book/source title
- Proceedings of the ESSLLI Workshop on Distributional Lexical Semantics: Bridging the gap between semantic theory and computational simulations
- Pages (from-to)
- Institute for Logic, Language and Computation (ILLC)
- Document type
- Conference contribution
- Faculty of Science (FNWI)
- Informatics Institute (IVI)
Automatic acquisition of qualia structures is one of the directions in information extraction that has received a great attention lately. We consider such information as a possible input for the word-space models and investigate its impact on the categorization task. We show that the results of the categorization are mostly influenced by the formal role while the other roles have not contributed discriminative features for this task. The best results on 3-way clustering are achieved by using the formal role alone (entropy 0.00, purity 1.00), the best performance on 6-way clustering is yielded by a combination of the formal and the agentive roles (entropy 0.09, purity 0.91).
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