Conundrums in Noun Phrase Coreference Resolution: Making Sense of the State-of-the-Art

ACL-IJCNLP 2009 - Joint Conf. of the 47th Annual Meeting of the Association for Computational Linguistics and 4th Int. Joint Conf. on Natural Language Processing of the AFNLP, Proceedings of the Conf.

Volumn , Issue , 2009, Pages 656-664

  Stoyanov, Veselin ^a   Gilbert, Nathan ^b   Cardie, Claire ^a   Riloff, Ellen ^b  

^a Department of Obstetrics Gynecology   (United States)

^b UNIVERSITY OF UTAH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COREFERENCE; COREFERENCE RESOLUTION; ELEMENTS DETECTION; EVALUATION METHODOLOGIES; NAMED ENTITY RECOGNITION; NOUN PHRASE; PERFORMANCE; STATE OF THE ART; SUB-PROBLEMS; TEXT CORPORA;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 85185390801     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (26)

1. A. Bagga and B. Baldwin. 1998. Algorithms for Scoring Coreference Chains. In In Linguistic Coreference Workshop at LREC 1998.
2. Baldridge, J. 2005. The OpenNLP project. http://opennlp.sourceforge.net/.
3. D. Bean and E. Riloff. 2004. Unsupervised Learning of Contextual Role Knowledge for Coreference Resolution. In Proceedings of the Annual Meeting of the North American Chapter of the Association for Computational Linguistics (HLT/NAACL 2004).
4. Eric Bengtson and Dan Roth. 2008. Understanding the Value of Features for Coreference Resolution. In Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, pages 294–303. Association for Computational Linguistics.
5. Alexandra Birch, Miles Osborne, and Philipp Koehn. 2008. Predicting Success in Machine Translation. In Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, pages 745–754. Association for Computational Linguistics.
6. Donna Byron. 2001. The Uncommon Denominator: A Proposal for Consistent Reporting of Pronoun Resolution Results. Computational Linguistics, 27(4):569–578.
7. Marie-Catherine de Marneffe, Bill MacCartney, and Christopher D. Manning. 2006. Generating Typed Dependency Parses from Phrase Structure Parses. In LREC.
8. J. Finkel, S. Dingare, H. Nguyen, M. Nissim, and C. Manning. 2004. Exploiting Context for Biomedical Entity Recognition: From Syntax to the Web. In Joint Workshop on Natural Language Processing in Biomedicine and its Applications at COLING 2004.
9. Yoav Freund and Robert E. Schapire. 1999. Large Margin Classification Using the Perceptron Algorithm. In Machine Learning, pages 277–296.
10. Megumi Kameyama. 1997. Recognizing Referential Links: An Information Extraction Perspective. In Workshop On Operational Factors In Practical Robust Anaphora Resolution For Unrestricted Texts.
11. Xiaoqiang Luo, Abe Ittycheriah, Hongyan Jing, Nanda Kambhatla, and Salim Roukos. 2004. A Mention-Synchronous Coreference Resolution Algorithm Based on the Bell Tree. In Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics.
12. X. Luo. 2005. On Coreference Resolution Performance Metrics. In Proceedings of the 2005 Human Language Technology Conference / Conference on Empirical Methods in Natural Language Processing.
13. Xiaoqiang Luo. 2007. Coreference or Not: A Twin Model for Coreference Resolution. In Proceedings of the Annual Meeting of the North American Chapter of the Association for Computational Linguistics (HLT/NAACL 2007).
14. A. McCallum and B. Wellner. 2004. Conditional Models of Identity Uncertainty with Application to Noun Coreference. In 18th Annual Conference on Neural Information Processing Systems.
15. Ruslan Mitkov. 2002. Anaphora Resolution. Long-man, London.
16. MUC-6. 1995. Coreference Task Definition. In Proceedings of the Sixth Message Understanding Conference (MUC-6), pages 335–344.
17. MUC-7. 1997. Coreference Task Definition. In Proceedings of the Seventh Message Understanding Conference (MUC-7).
18. V. Ng and C. Cardie. 2002a. Identifying Anaphoric and Non-Anaphoric Noun Phrases to Improve Coreference Resolution. In Proceedings of the 19th International Conference on Computational Linguistics (COLING 2002).
19. V. Ng and C. Cardie. 2002b. Improving Machine Learning Approaches to Coreference Resolution. In Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics.
20. NIST. 2004. The ACE Evaluation Plan.
21. S. Petrov and D. Klein. 2007. Improved Inference for Unlexicalized Parsing. In Proceedings of the Annual Meeting of the North American Chapter of the Association for Computational Linguistics (HLT/NAACL 2007).
22. W. Soon, H. Ng, and D. Lim. 2001. A Machine Learning Approach to Coreference of Noun Phrases. Computational Linguistics, 27(4):521–541.
23. Veselin Stoyanov, Nathan Gilbert, Claire Cardie, Ellen Riloff, David Buttler, and David Hysom. 2009. Reconcile: A Coreference Resolution Research Platform. Computer Science Technical Report, Cornell University, Ithaca, NY.
24. Kees van Deemter and Rodger Kibble. 2000. On Coreferring: Coreference in MUC and Related Annotation Schemes. Computational Linguistics, 26(4):629–637.
25. M. Vilain, J. Burger, J. Aberdeen, D. Connolly, and L. Hirschman. 1995. A Model-Theoretic Coreference Scoring Theme. In Proceedings of the Sixth Message Understanding Conference (MUC-6).
26. Xiaofeng Yang, Guodong Zhou, Jian Su, and Chew Lim Tan. 2003. Coreference Resolution Using Competition Learning Approach. In ACL’03: Proceedings of the 41st Annual Meeting on Association for Computational Linguistics, pages 176–183.