Deep lexical acquisition of verb-particle constructions

Authors:
Timothy Baldwin
Affiliations:
CSLI, Stanford University, 210 Panama Street, Stanford, CA 94305-4115, USA and Department of Computer Science and Software Engineering, University of Melbourne, Vic. 3010, Australia
Venue:
Computer Speech and Language
Year:
2005

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Abstract

This paper proposes a range of techniques for extracting English verb-particle constructions from raw text corpora, complete with valence information. We propose four basic methods, based on the output of a POS tagger, chunker, chunk grammar and dependency parser, respectively. We then present a combined classifier which we show to consolidate the strengths of the component methods.