Automatic extraction of subcategorization from corpora

Authors:
Ted Briscoe;John Carroll
Affiliations:
University of Cambridge, Cambridge, UK;University of Sussex, Brighton, UK
Venue:
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
Year:
1997

Citing 18
Cited 90

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Abstract

We describe a novel technique and implemented system for constructing a subcategorization dictionary from textual corpora. Each dictionary entry encodes the relative frequency of occurrence of a comprehensive set of subcategorization classes for English. An initial experiment, on a sample of 14 verbs which exhibit multiple complementation patterns, demonstrates that the technique achieves accuracy comparable to previous approaches, which are all limited to a highly restricted set of subcategorization classes. We also demonstrate that a subcategorization dictionary built with the system improves the accuracy of a parser by an appreciable amount1.