Named Entity Recognition with a Maximum Entropy Approach

Proceedings of the 7th Conference on Natural Language Learning, CoNLL 2003 at HLT-NAACL 2003

Volumn , Issue , 2003, Pages 160-163

  Chieu, Hai Leong ^a   Ng, Hwee Tou ^b  

^a DSO NATIONAL LABORATORIES   (Singapore)

^b NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84978165199     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. Xavier Carreras, Lluis Marquez, and Lluis Padro. 2002. Named Entity Extraction using AdaBoost. In Proceedings of the Sixth Conference on Natural Language Learning, pages 167–170.
2. Hai Leong Chieu and Hwee Tou Ng. 2002a. A Maximum Entropy Approach to Information Extraction from Semi-Structured and Free Text. In Proceedings of the Eighteenth National Conference on Artificial Intelligence, pages 786–791.
3. Hai Leong Chieu and Hwee Tou Ng. 2002b. Named Entity Recognition: A Maximum Entropy Approach Using Global Information. In Proceedings of the Nineteenth International Conference on Computational Linguistics, pages 190–196.
4. Nancy Chinchor. 1998. MUC-7 Named Entity Task Definition, version 3.5. In Proceedings of the Seventh Message Understanding Conference.
5. J. N. Darroch and D. Ratcliff. 1972. Generalized Iterative Scaling for Log-Linear Models. Annals of Mathematical Statistics, 43(5):1470–1480.
6. Stephen Della Pietra, Vincent Della Pietra, and John Lafferty. 1997. Inducing Features of Random Fields. IEEE Transactions on Pattern Analysis and Machine Intelligence, 19(4):380–393.
7. GuoDong Zhou and Jian Su. 2002. Named Entity Recognition using an HMM-based Chunk Tagger. In Proceedings of the Fortieth Annual Meeting of the Association for Computational Linguistics, pages 473–480.