Global learning of noun phrase anaphoricity in coreference resolution via label propagation

EMNLP 2009 - Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: A Meeting of SIGDAT, a Special Interest Group of ACL, Held in Conjunction with ACL-IJCNLP 2009

Volumn , Issue , 2009, Pages 978-986

  Zhou, Guo Dong ^a   Kong, Fang ^a  

^a SOOCHOW UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING SYSTEMS;

CO-REFERENCE RESOLUTIONS; FEATURE-BASED; GLOBAL LEARNING; ITS APPLICATIONS; LABEL PROPAGATION; NOUN PHRASE; RBF KERNELS; TREE KERNELS;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 79960780336     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/1699571.1699640     Document Type: Conference Paper

References (27)

1. Bean D. and Riloff E. (1999). Corpus-based Identification of Non-Anaphoric Noun Phrases. ACL'1999:373-380.
2. Bergsma S., Lin D.K. and Goebel R. (2008). Distributional Identification of Non-Referential Pronouns. ACL'2008: 10-18.
3. Charniak E. (2001). Immediate-head Parsing for Language Models. ACL'2001: 129-137.
4. Cherry C. and Bergsma S. (2005). An expectation maximization approach to pronoun resolution. CoNLL'2005:88-95.
5. Collins M. and Duffy N. (2001). Convolution kernels for natural language. NIPS'2001: 625-632.
6. Denber M. (1998). Automatic Resolution of Anaphora in English. Technical Report, Eastman Kodak Co.
7. Denis P. and Baldridge J. (2007). Joint determination of anaphoricity and coreference using integer programming. NAACL-HLT'2007:236-243.
8. Evans R. (2001). Applying machine learning toward an automatic classification of it. Literary and Linguistic Computing, 16(1):45.57.
9. Joachims T. (1998). Text Categorization with Support Vector Machine: learning with many relevant features. ECML-1998: 137-142.
10. Kennedy C. and Boguraev B. (1996). Anaphora for everyone: pronominal anaphora resolution without a parser. COLING'1996: 113-118.
11. Lappin S. and Leass H.J. (1994). An algorithm for pronominal anaphora resolution. Computational Linguistics, 20(4):535.561.
12. Ng V. and Cardie C. (2002a). Identifying anaphoric and non-anaphoric noun phrases to improve coreference resolution. COLING'2002:730-736.
13. Ng V. and Cardie C. (2002b). Improving machine learning approaches to coreference resolution. ACL'2002: 104-111
14. Ng V. (2004). Learning Noun Phrase Anaphoricity to Improve Conference Resolution: Issues in Representation and Optimization. ACL'2004: 151-158
15. Paice C.D. and Husk G.D. (1987). Towards the automatic recognition of anaphoric features in English text: the impersonal pronoun it. Computer Speech and Language, 2:109-132.
16. Soon W.M., Ng H.T. and Lim D. (2001). A machine learning approach to coreference resolution of noun phrase. Computational Linguistics, 2001, 27(4):521-544.
17. Strube M. and Muller C. (2003). A machine learning approach to pronoun resolution in spoken dialogue. ACL'2003: 168-175
18. Vieira R. and Poesio M. (2000). An empirically based system for processing definite descriptions. Computational Linguistics, 27(4): 539-592.
19. Vilain M., Burger J., Aberdeen J., Connolly D. and Hirschman L. (1995). A model theoretic coreference scoring scheme. MUC-6: 45-52.
20. Yang X.F., Zhou G.D., Su J. and Chew C.L. (2003). Coreference Resolution Using Competition Learning Approach. ACL'2003:177-184
21. Yang X.F., Su J. and Tan C.L. (2005). A Twin-Candidate Model of Coreference Resolution with Non-Anaphor Identification Capability. IJCNLP'2005:719-730.
22. Yang X.F., Su J. and Tan C.L. (2006). Kernel-based pronoun resolution with structured syntactic knowledge. COLING-ACL'2006: 41-48.
23. Yang X.F., Su J., Lang J., Tan C.L., Liu T. and Li S. (2008). An Entity-Mention Model for Coreference Resolution with Inductive Logic Programming. ACL'2008: 843-851.
24. Zhou G.D. and Su. J. (2000). Error-driven HMM-based chunk tagger with context-dependent lexicon. EMNLP-VLC'2000: 71-79
25. Zhou G.D. and Su J. (2002). Named Entity recognition using a HMM-based chunk tagger. In ACL'2002:473-480.
26. Zhou G.D., Kong F. and Zhu Q.M. (2008). Contextsensitive convolution tree kernel for pronoun resolution. IJCNLP'2008:25-31.
27. Zhu X. and Ghahramani Z. (2002). Learning from Labeled and Unlabeled Data with Label Propagation. CMU CALD Technical Report.CMU-CALD-02-107.