Improving pronoun resolution using statistics-based semantic compatibility information

ACL-05 - 43rd Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference

Volumn , Issue , 2005, Pages 165-172

  Yang, Xiaofeng ^a,b   Su, Jian ^a   Tan, Chew Lim ^b  

^a INSTITUTE FOR INFOCOMM RESEARCH   (Singapore)

^b NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; SEMANTIC WEB; SEMANTICS;

CANDIDATE MODELS; LEARNING FRAMEWORKS; LEARNING MODELS; PRONOUN RESOLUTION; SEMANTIC COMPATIBILITY; SEMANTIC INFORMATION;

INFORMATION USE;

EID: 80053409506     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/1219840.1219861     Document Type: Conference Paper

References (17)

1. S. Abney. 1996. Partial parsing via finite-state cascades. In Workshop on Robust Parsing, 8th European Summer Schoolin Logic, Language and Information, pages 8-15.
2. D. Bean and E. Riloff. 2004. Unsupervised learning of contextual role knowledge for coreference resolution. In Proceedingsof 2004 North American chapter of the Association for Computational Linguistics annual meeting.
3. I. Dagan and A. Itai. 1990. Automatic processing of large corpora for the resolution of anahora references. In Proceedings of the 13th International Conference on Computational Linguistics, pages 330-332.
4. J. Hobbs. 1978. Resolving pronoun references. Lingua, 44:339-352.
5. A. Kehler, D. Appelt, L. Taylor, and A. Simma. 2004. The (non)utility of predicate-argument frequencies for pronoun interpretation. In Proceedings of 2004 North American chapter of the Association for Computational Linguistics annual meeting.
6. F. Keller and M. Lapata. 2003. Using the web to obtain freqencies for unseen bigrams. Computational Linguistics, 29(3):459-484. (Pubitemid 37445781)
7. R. Mitkov. 1998. Robust pronoun resolution with limited knowledge. In Proceedings of the 17th Int. Conference onComputational Linguistics, pages 869-875.
8. N. Modjeska, K. Markert, and M. Nissim. 2003. Using the web in machine learning for other-anaphora resolution. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, pages 176-183.
9. V. Ng and C. Cardie. 2002. Improving machine learning approaches to coreference resolution. In Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics, pages 104-111, Philadelphia.
10. M. Poesio, R. Mehta, A. Maroudas, and J. Hitzeman. 2004. Learning to resolve bridging references. In Proceedings of42th Annual Meeting of the Association for Computational Linguistics.
11. J. R. Quinlan. 1993. C4.5: Programs for machine learning. Morgan Kaufmann Publishers, San Francisco, CA.
12. W. Soon, H. Ng, and D. Lim. 2001. A machine learning approach to coreference resolution of noun phrases. Computational Linguistics, 27(4):521-544. (Pubitemid 33597451)
13. M. Strube and C. Muller. 2003. A machine learning approach to pronoun resolution in spoken dialogue. In Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics, pages 168-175, Japan.
14. M. Strube. 1998. Never look back: An alternative to centering. In Proceedings of the 17th Int. Conference on Computational Linguistics and 36th Annual Meeting of ACL, pages 1251-1257.
15. X. Yang, G. Zhou, J. Su, and C. Tan. 2003. Coreference resolution using competition learning approach. In Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics, Japan.
16. G. Zhou and J. Su. 2002. Named Entity recognition using a HMM-based chunk tagger. In Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics, Philadelphia.
17. G. Zhou, J. Su, and T. Tey. 2000. Hybrid text chunking. In Proceedings of the 4th Conference on Computational Natural Language Learning, pages 163-166, Lisbon, Portugal.