Test:2010 CorryASystemforCoreferenceResol

From GM-RKB
Jump to navigation Jump to search

Subject Headings: Classification-Based Coreference Resolution System

Notes

Cited By


Quotes

Abstract

Corry is a system for coreference resolution in English. It supports both local (Soon et al. (2001) - style) and global (Integer Linear Programming, Denis and Baldridge (2007) - style) models of coreference. Corry relies on a rich linguistically motivated feature set, which has, however, been manually reduced to 64 features for efficiency reasons. Three runs have been submitted for the SemEval task 1 on Coreference Resolution (Recasens et al., 2010), optimizing Corry's performance for BLANC (Recasens and Hovy, in prep), MUC (Vilain et al., 1995) and CEAF (Luo, 2005). Corry runs have shown the best performance level among all the systems in their track for the corresponding metric.

References

Amit Bagga and Breck Baldwin. 1998. Algorithms for Scoring Coreference Chains. In Proceedings of the Linguistic Coreference Workshop at the International Conference on Language Resources and Evaluation (LREC-1998), Pages 563--566.

  • 2. }}Pascal Denis and Jason Baldridge. 2007. Joint Determination of Anaphoricity and Coreference Resolution Using Integer Programming. In Proceedings of the Annual Meeting of the North American Chapter of the Association for Computational Linguistics - Human Language Technology Conference (NAACL/HLT-2007).
  • 3. }}Pascal Denis and Jason Baldridge. 2008. Coreference with Named Entity Classification and Transitivity Constraints and Evaluation with MUC, B-CUBED, and CEAF. In Proceedings of Corpus-Based Approaches to Coreference Resolution in Romance Languages (CBA 2008).
  • 4. Jenny Rose Finkel, Christopher D. Manning, Enforcing Transitivity in Coreference Resolution, Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Short Papers, June 16-17, 2008, Columbus, Ohio
  • 5. Jenny Rose Finkel, Trond Grenager, Christopher Manning, Incorporating Non-local Information Into Information Extraction Systems by Gibbs Sampling, Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics, p.363-370, June 25-30, 2005, Ann Arbor, Michigan doi:10.3115/1219840.1219885
  • 6. Thorsten Joachims, Making Large-scale Support Vector Machine Learning Practical, Advances in Kernel Methods: Support Vector Learning, MIT Press, Cambridge, MA, 1999
  • 7. Dan Klein, Christopher D. Manning, Accurate Unlexicalized Parsing, Proceedings of the 41st Annual Meeting on Association for Computational Linguistics, p.423-430, July 07-12, 2003, Sapporo, Japan doi:10.3115/1075096.1075150
  • 8. Xiaoqiang Luo, On Coreference Resolution Performance Metrics, Proceedings of the Conference on Human Language Technology and Empirical Methods in Natural Language Processing, p.25-32, October 06-08, 2005, Vancouver, British Columbia, Canada doi:10.3115/1220575.1220579
  • 9. }}Marta Recasens and Eduard Hovy. in Prep. BLANC: Implementing the Rand Index for Coreference Evaluation.
  • 10. Marta Recasens, Lluís Màrquez, Emili Sapena, M. Antònia Martí, Mariona Taulé, Véronique Hoste, Massimo Poesio, Yannick Versley, SemEval-2010 Task 1: Coreference Resolution in Multiple Languages, Proceedings of the 5th International Workshop on Semantic Evaluation, p.1-8, July 15-16, 2010, Los Angeles, California
  • 11. Wee Meng Soon, Hwee Tou Ng, Daniel Chung Yong Lim, A Machine Learning Approach to Coreference Resolution of Noun Phrases, Computational Linguistics, v.27 n.4, December 2001
  • 12. Olga Uryupina, High-precision Identification of Discourse New and Unique Noun Phrases, Proceedings of the 41st Annual Meeting on Association for Computational Linguistics, p.80-86, July 07-12, 2003, Sapporo, Japan doi:10.3115/1075178.1075189
  • 13. }}Olga Uryupina. 2006. Coreference Resolution with and Without Linguistic Knowledge. In Proceedings of the Language Resources and Evaluation Conference.
  • 14. }}Olga Uryupina. 2007. Knowledge Acquisition for Coreference Resolution. Ph.D. Thesis, Saarland University.
  • 15. }}Olga Uryupina. 2008. Error Analysis for Learning-based Coreference Resolution. In Proceedings of the Language Resources and Evaluation Conference.
  • 16. Marc Vilain, John Burger, John Aberdeen, Dennis Connolly, Lynette Hirschman, A Model-theoretic Coreference Scoring Scheme, Proceedings of the 6th Conference on Message Understanding, November 06-08, 1995, Columbia, Maryland doi:10.3115/1072399.1072405

}};


 AuthorvolumeDate ValuetitletypejournaltitleUrldoinoteyear
2010 CorryASystemforCoreferenceResolOlga UryupinaCorry: A System for Coreference Resolution