Adaptation of maximum entropy capitalizer: Little data can help a lot

Proceedings of the 2004 Conference on Empirical Methods in Natural Language Processing, EMNLP 2004 - A meeting of SIGDAT, a Special Interest Group of the ACL held in conjunction with ACL 2004

Volumn , Issue , 2004, Pages 285-292

  Chelba, Ciprian ^a   Acero, Alex ^a  

^a MICROSOFT RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MAXIMUM ENTROPY METHODS; NATURAL LANGUAGE PROCESSING SYSTEMS;

BROADCAST NEWS; MAXIMUM A POSTERIORI ADAPTATIONS; MAXIMUM ENTROPY MARKOV MODEL; MAXIMUM-ENTROPY; NOVEL TECHNIQUES; PERFORMANCE; PRIMETIME LIVE; TEST DATA; TEST SETS; WALL STREET JOURNAL;

MARKOV PROCESSES;

EID: 84890506043     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. A. L. Berger, S. A. Della Pietra, and V. J. Della Pietra. 1996. A Maximum Entropy Approach to Natural Language Processing. Computational Linguistics, 22(1):39-72, March.
2. Eric Brill. 1994. Some Advances in Transformation-Based Part of Speech Tagging. In National Conference on Artificial Intelligence, pages 722-727.
3. Stanley F. Chen and Ronald Rosenfeld. 2000. A Survey of Smoothing Techniques for Maximum Entropy Models. IEEE Transactions on Speech and Audio Processing, 8(1):37-50.
4. Michael Collins. 2002. Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, pages 1-8, University of Pennsylvania, Philadelphia, PA, July. ACL.
5. Joshua Goodman. 2004. Exponential Priors for Maximum Entropy Models. In Daniel Marcu Susan Dumais and Salim Roukos, editors, HLTNAACL 2004: Main Proceedings, pages 305-312, Boston, Massachusetts, USA, May 2 - May 7. Association for Computational Linguistics.
6. Ji-Hwan Kim and Philip C. Woodland. 2004. Automatic Capitalization Generation for Speech Input. Computer Speech and Language, 18(1):67-90, January.
7. John Lafferty, Andrew McCallum, and Fernando Pereira. 2001. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data. In Proc. 18th International Conf. on Machine Learning, pages 282-289. Morgan Kaufmann, San Francisco, CA.
8. L. Lita, A. Ittycheriah, S. Roukos, and N. Kambhatla. 2003. tRuEcasIng. In Proccedings of ACL, pages 152-159, Sapporo, Japan.
9. Doug B. Paul and Janet M. Baker. 1992. The design for the Wall Street Journal-based CSR corpus. In Proceedings of the DARPA SLS Workshop. February.
10. S. Della Pietra, V. Della Pietra, and J. Lafferty. 1995. Inducing features of random fields. Technical Report CMU-CS-95-144, School of Computer Science, Carnegie Mellon University, Pitts-burg, PA.
11. Adwait Ratnaparkhi. 1996. A Maximum Entropy Model for Part-of-Speech Tagging. In Eric Brill and Kenneth Church, editors, Proceedings of the Conference on Empirical Methods in Natural Language Processing, pages 133-142. Association for Computational Linguistics, Somerset, New Jersey.