Learning english light verb constructions: Contextual or statistical

Workshop on Multiword Expressions: From Parsing and Generation to the Real World, MWE 2011 at the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, ACL-HLT 2011 - Proceedings

Volumn , Issue , 2011, Pages 31-39

  Tu, Yuancheng ^a   Roth, Dan ^a  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING ALGORITHMS;

BENCHMARK DATASETS; COMPUTATIONAL RESOURCES; CONTEXTUAL FEATURE; DATA SET; IN-DEPTH ANALYSIS; LEARNING ENGLISH; LEARNING FRAMEWORKS; PERFORMANCE; STATISTICAL FEATURES; SUPERVISED MACHINE LEARNING;

SUPERVISED LEARNING;

EID: 85083538328     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (25)

1. L. Barrett and A. Davis. 2003. Diagnostics for determing compatibility in english support verb nominalization pairs. In Proceedings of CICLing-2003, pages 85-90.
2. A. Burchardt, K. Erk, A. Frank, A. Kowalski, S. Pado, and M. Pinkal. 2009. Using framenet for semantic analysis of german: annotation, representation and automation. In Hans Boas, editor, Multilingual FrameNets in Computational Lexicography: methods and applications, pages 209-244. Mouton de Gruyter.
3. M. Butt. 2003. The light verb jungle. In Harvard Working Paper in Linguistics, volume 9, pages 1-49.
4. C. Chang and C. Lin, 2001. LIBSVM: a library for support vector machines. Software available at http://www.csie.ntu.edu.tw/_cjlin/libsvm.
5. E. Charniak and M. Johnson. 2005. Coarse-to-fine nbest parsing and maxent discriminative reranking. In Proceedings of ACL-2005.
6. K. Church and P. Hanks. 1990. Word association norms, mutual information, and lexicography. Computational Linguistics, 16(1), March.
7. K. Church, W. Gale, P. Hanks, and D. Hindle. 1991. Using statistics in lexical analysis. In Lexical Acquisition: Exploiting On-Line Resources to Build a Lexicon, pages 115-164. Erlbaum.
8. P. Cook, A. Fazly, and S. Stevenson. 2007. Pulling their weight: Exploiting syntactic forms for the automatic identification of idiomatic expressions in context. In Proceedings of the Workshop on A Broader Perspective on Multiword Expressions, pages 41-48, Prague, Czech Republic, June. Association for Computational Linguistics.
9. A. Fazly and S. Stevenson. 2006. Automatically constructing a lexicon of verb phrase idiomatic combinations. In Proceedings of EACL-2006.
10. A. Fazly and S. Stevenson. 2007. Distinguishing subtypes of multiword expressions using linguisticallymotivated statistical measures. In Proceedings of the Workshop on A Broader Perspective on Multiword Expressions, pages 9-16, Prague, Czech Republic, June.
11. A. Fazly, R. North, and S. Stevenson. 2005. Automatically distinguishing literal and figurative usages of highly polysemous verbs. In Proceedings of the ACL-SIGLEX Workshop on Deep Lexical Acquisition, pages 38-47, Ann Arbor, Michigan, June. Association for Computational Linguistics.
12. A. Fazly, P. Cook, and S. Stevenson. 2009. Unsupervised type and token identification of idiomatic expression. Comutational Linguistics.
13. C. Fellbaum, editor. 1998. WordNet: An Electronic Lexical Database. MIT Press.
14. O. Jespersen. 1965. AModern English Grammar on Historical Principles, Part VI, Morphology. Aeorge Allen and Unwin Ltd.
15. G. Katz and E. Giesbrecht. 2006. Automatic identification of non-compositional multi-word expressions using latent semantic analysis. In Proceedings of the Workshop on Multiword Expressions: Identifying and Exploiting Underlying Properties, pages 12-19.
16. K. Kearns. 2002. Light verbs in english. In http://www.ling.canterbury.ac.nz/documents.
17. B. Levin. 1993. English Verb Classes and Alternations, A Preliminary Investigation. University of Chicago Press.
18. A. Meyers, C. Macleod, R. Yangarber, R. Grishman, L. Barrett, and R. Reeves. 1998. Using nomlex to produce nominalization patterns for information extraction. In Proceedings of COLING-ACL98 Workshop: the Computational Treatment of Nominals.
19. R. North. 2005. Computational measures of the acceptability of light verb constructions. University of Toronto, Master Thesis.
20. N. Rizzolo and D. Roth. 2010. Learning based java for rapid development of nlp systems. In Proceedings of the International Conference on Language Resources and Evaluation (LREC).
21. I. Sag, T. Baldwin, F. Bond, and A. Copestake. 2002. Multiword expressions: A pain in the neck for nlp. In In Proc. of the 3rd International Conference on Intelligent Text Processing and Computational Linguistics (CICLing-2002, pages 1-15.
22. T. Samardžić and P. Merlo. 2010. Cross-lingual variation of light verb constructions: Using parallel corpora and automatic alignment for linguistic research. In Proceedings of the 2010 Workshop on NLP and Linguistics: Finding the Common Ground, pages 52-60, Uppsala, Sweden, July.
23. S. Stevenson, A. Fazly, and R. North. 2004. Statistical measures of the semi-productivity of light verb constructions. In Proceedings of ACL-04 workshop on Multiword Expressions: Integrating Processing, pages 1-8.
24. Y. Tan, M. Kan, and H. Cui. 2006. Extending corpusbased identification of light verb constructions using a supervised learning framework. In Proceedings of EACL-06 workshop on Multi-word-expressions in a multilingual context, pages 49-56.
25. S. Venkatapathy and A. Joshi. 2005. Measuring the relative compositionality of verb-noun (v-n) collocations by integrating features. In Proceedings of HLT and EMNLP05, pages 899-906.