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Automatic Methods to Supplement Broad-Coverage Subcategorization Lexicons
Proceedings of the Fourth International Conference on Language Resources and Evaluation (LREC 2004)
Abstract
The paper describes a system for extracting subcategorization frames of verbs not found in existing broad-coverage valency lexicons. The system uses two parameters: the results of a finite-state parser and the predictions of a set of automatically learned rules which transfer subcategorization frames from cognate verbs. An in-depth evaluation quantified the contribution of the individual parameters.