A large-scale exploration of effective global features for a joint entity detection and tracking model

HLT/EMNLP 2005 - Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference

Volumn , Issue , 2005, Pages 97-104

  Daumé III, Hal ^a   Marcu, Daniel ^a  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CO-REFERENCE RESOLUTIONS; DEFINITE DESCRIPTIONS; ENTITY DETECTION; GLOBAL FEATURE; LOCAL FEATURE; NAMED ENTITIES; NON-LOCAL FEATURES; REAL-WORLD ENTITIES;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 80053277681     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/1220575.1220588     Document Type: Conference Paper

References (13)

1. D. Bikel, R. Schwartz, and R. Weischedel. 1999. An algorithm that learns what's in a name. Machine Learning, 34.
2. H. Daumé III and D. Marcu. 2005. Learning as search optimization: Approximate large margin methods for structured prediction. In ICML.
3. T. Dunning. 1993. Accurate methods for the statistics of surprise and coincidence. Computational Linguistics, 19(1).
4. C. Fellbaum, editor. 1998. WordNet: An Electronic Lexical Database. The MIT Press, Cambridge, MA.
5. M. Fleischman, E. Hovy, and A. Echihabi. 2003. Offline strategies for online question answering: Answering questions before they are asked. In ACL.
6. R. Florian, H. Hassan, A. Ittycheriah, H. Jing, N. Kambhatla, X. Luo, N. Nicolov, and S. Roukos. 2004. A statistical model for multilingual entity detection and tracking. In NAACL/HLT.
7. C. Gentile. 2001. A new approximate maximal margin classification algorithm. JMLR, 2:213-242.
8. J. Lafferty, A. McCallum, and F. Pereira. 2001. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In ICML.
9. V. Ng and C. Cardie. 2002. Improving machine learning approaches to coreference resolution. In ACL.
10. D. Ravichandran, P. Pantel, and E. Hovy. 2005. Randomized algorithms and NLP: Using locality sensitive hash functions for high speed noun clustering. In ACL.
11. 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)
12. C. Sutton and A. McCallum. 2004. Collective segmentation and labeling of distant entities in information extraction. In ICML workshop on Statistical Relational Learning.
13. B. Taskar, C. Guestrin, and D. Koller. 2003. Max-margin Markov networks. In NIPS.