Evaluating verb subcategorisation frames learned by a German statistical grammar against manual definitions in the Duden Dictionary

• Autores: Sabine Schulte im Walde
• Localización: Proceedings of the Tenth EURALEX International Congress, EURALEX 2002: Copenhagen, Denmark, August 13-17, 2002 / Anna Braasch (ed. lit.), Claus Povlsen (ed. lit.), Vol. 1, 2003, ISBN 87-90708-09-1, págs. 187-197
• Idioma: inglés
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• Resumen

  • The paper describes an extensive evaluation of computational large-scale verb subcategorisation by comparing subcategorisation frames induced from a German lexicaIised statistical grammar against manual verb definitions in the dictionary Duden - Das Stilwörterbuch. We achieved an f-score of 62.30% on 3,090 verbs with a training corpus frequency between 10 and 2,000; ignoring prepositional phrases within the frame definitions resulted in an f-score of 72.05%. As to our knowledge, no former approach on automatic acquisition of verb subcategorisation has performed a comparably extensive evaluation. Our evaluation results justify the utilisation of the statistical grammar framework for obtaining a reliable subcategorisation lexicon for verbs. The lexical entries hold a potential for adding to and improving manual verb definitions.