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Computer Speech & Language
Volume 19, Issue 4, October 2005, Pages 398-414
Special issue on Multiword Expression
 
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doi:10.1016/j.csl.2005.02.004    How to Cite or Link Using DOI (Opens New Window)
Copyright © 2005 Elsevier Ltd All rights reserved.

Deep lexical acquisition of verb–particle constructions

Timothy BaldwinE-mail The Corresponding Author

CSLI, Stanford University, 210 Panama Street, Stanford, CA 94305-4115, USA Department of Computer Science and Software Engineering, University of Melbourne, Vic. 3010, Australia

Received 6 June 2004; 
revised 10 January 2005; 
accepted 15 February 2005. 
Available online 16 March 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.

Article Outline

1. Introduction
2. Linguistic features of VPCs
3. Resources
3.1. Corpora and gold-standard VPC annotation
3.2. VPC corpus occurrence
4. Tagger-based extraction
5. Chunker-based extraction
6. Chunk grammar-based extraction
7. Parser-based extraction
8. Improving on the basic methods
9. Extraction over the Brown corpus
10. Related research
11. Conclusion
Acknowledgements
Appendix A. A canonical particles
References

Computer Speech & Language
Volume 19, Issue 4, October 2005, Pages 398-414
Special issue on Multiword Expression
 
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