Evaluating Verb Subcategorisation Frames learned by a German Statistical Grammar against Manual Definitions in the Duden Dictionary

By November 17, 2016,
Page 187-197
Author Sabine Schulte im Walde
Title Evaluating Verb Subcategorisation Frames learned by a German Statistical Grammar against Manual Definitions in the Duden Dictionary
Abstract 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.
Session Computational Lexicography and Lexicology
Keywords
BibTex 
@InProceedings{ELX02-018,
	   author = {Sabine Schulte im Walde},
	   title = {Evaluating Verb Subcategorisation Frames learned by a German Statistical Grammar against Manual Definitions in the Duden Dictionary},
	   pages = {187-197},
	   booktitle = {Proceedings of the 10th EURALEX International Congress},
	   year = {2002},
	   month = {aug},
	   date = {13-17},
	   address = {København, Denmark},
	   editor = {Anna Braasch and Claus Povlsen},
	   publisher = {Center for Sprogteknologi},
	   isbn = {87-90708-09-1},
	}
Download