Transition-based Semantic Role Labeling Using Predicate Argument Clustering

Proceedings of the Annual Meeting of the Association for Computational Linguistics

Volumn , Issue , 2011, Pages 37-45

  Choi, Jinho D ^a   Palmer, Martha ^a  

^a University of Colorado at Boulder   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; SEMANTICS;

CLUSTERING TECHNIQUES; CLUSTERINGS; GENERALISATION; LABELING ACCURACIES; LABELING ALGORITHMS; LEARNING CLUSTERING; SELF-LEARNING; SEMANTIC ROLE LABELING; STATISTIC MODELING; TWO WAYS;

CLUSTER ANALYSIS;

EID: 85080595177     PISSN: 0736587X     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (27)

1. X. Carreras and L. Marquez. 2005. Introduction to the conll-2005 shared task: semantic role labeling. In Proceedings of the Ninth Conference on Computational Natural Language Learning.
2. J. D. Choi and M. Palmer. 2010. Retrieving correct semantic boundaries in dependency structure. In Proceedings of ACL workshop on Linguistic Annotation.
3. J. D. Choi and M. Palmer. 2011. Getting the most out of transition-based dependency parsing. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies.
4. D. Gildea and D. Jurafsky. 2002. Automatic labeling of semantic roles. Computational Linguistics, 28(3).
5. J. Hajic, M. Ciaramita, R. Johansson, D. Kawahara, M. A. Mart, L.Marquez, A. Meyers, J. Nivre, S. Pado, J. Steṕanek, P. Strańak, M. Surdeanu, N. Xue, and Y. Zhang. 2009. The conll-2009 shared task: Syntactic and semantic dependencies in multiple languages. In Proceedings of the 13th Conference on Computational Natural Language Learning: Shared Task.
6. J. A. Hartigan. 1975. Clustering Algorithms. New York: John Wiley & Sons.
7. J. Henderson, P. Merlo, G. Musillo, and I. Titov. 2008. A latent variable model of synchronous parsing for syntactic and semantic dependencies. In Proceedings of the Twelfth Conference on Computational Natural Language Learning.
8. T. Hofmann and J. Puzicha. 1998. Statistical models for co-occurrence data. Technical report, Massachusetts Institute of Technology.
9. C. Hsieh, K. Chang, C. Lin, S. S. Keerthi, and S. Sundararajan. 2008. A dual coordinate descent method for large-scale linear svm. In Proceedings of the 25th international conference on Machine learning.
10. L. Huang and K. Sagae. 2010. Dynamic programming for linear-Time incremental parsing. In Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics.
11. R. Johansson and P. Nugues. 2008. Dependency-based semantic role labeling of PropBank. In Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing.
12. S. D. Kamvar, D. Klein, and C. D. Manning. 2002. Interpreting and extending classical agglomerative clustering algorithms using a model-based approach. In Proceedings of the 9th International Conference on Machine Learning.
13. D. Liu and D. Gildea. 2010. Semantic role features for machine translation. In Proceedings of the 23rd International Conference on Computational Linguistics.
14. C. Lo, J. Luo, and M. Shieh. 2009. Hardware/software codesign of resource constrained real-Time systems. In Proceedings of the 5th International Conference on Information Assurance and Security.
15. R. Mcdonald and F. Pereira. 2006. Online learning of approximate dependency parsing algorithms. In Proceedings of the Annual Meeting of the European American Chapter of the Association for Computational Linguistics.
16. J. Nivre. 2008. Algorithms for deterministic incremental dependency parsing. Computational Linguistics, 34(4).
17. M. Palmer, D. Gildea, and P. Kingsbury. 2005. The proposition bank: An annotated corpus of semantic roles. Computational Linguistics, 31(1).
18. S. Pradhan, W. Ward, and J. H. Martin. 2008. Towards robust semantic role labeling. Computational Linguistics: Special Issue on Semantic Role Labeling, 34(2).
19. C. Scheible. 2010. An evaluation of predicate argument clustering using pseudo-disambiguation. In Proceedings of the 7th conference on International Language Resources and Evaluation.
20. D. Shen and M. Lapata. 2007. Using semantic roles to improve question answering. In Proceedings of the Conference on Empirical Methods in Natural Language Processing and on Computational Natural Language Learning.
21. I. Titov, J. Henderson, P. Merlo, and G. Musillo. 2009. Online graph planarisation for synchronous parsing of semantic and syntactic dependencies. In Proceedings of the 21st International Joint Conference on Artificial Intelligence.
22. W. Wagner, H. Schmid, and S. Schulte im Walde. 2009. Verb sense disambiguation using a predicateargument-clustering model. In Proceedings of the CogSci Workshop on Distributional Semantics beyond Concrete Concepts.
23. J. H. Ward. 1963. Hierarchical grouping to optimize an objective function. Journal of the American Statistical Association, 58(301).
24. N. Xue and M. Palmer. 2004. Calibrating features for semantic role labeling. In Proceedings of the Conference on Empirical Methods in Natural Language Processing.
25. Y. Zhang and S. Clark. 2008. A tale of two parsers: investigating and combining graph-based and transitionbased dependency parsing using beam-search. In Proceedings of the Conference on Empirical Methods in Natural Language Processing.
26. H. Zhao, W. Chen, and C. Kit. 2009. Semantic dependency parsing of NomBank and PropBank: An efficient integrated approach via a large-scale feature selection.
27. In Proceedings of the Conference on Empirical Methods in Natural Language Processing.