Multi-criterion active learning in conditional random fields

Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI

Volumn , Issue , 2006, Pages 323-331

  Symons, Christopher T ^a   Samatova, Nagiza F ^a   Krishnamurthy, Ramya ^a   Park, Byung H ^a   Umar, Tarik ^a   Buttler, David ^b   Critchlow, Terence ^b   Hysom, David ^b  

^a OAK RIDGE NATIONAL LABORATORY   (United States)

^b LAWRENCE LIVERMORE NATIONAL LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA ACQUISITION; NATURAL LANGUAGE PROCESSING SYSTEMS; RANDOM PROCESSES;

ANNOTATION COSTS; CONDITIONAL RANDOM FIELDS (CRF);

LEARNING SYSTEMS;

EID: 38949157155     PISSN: 10823409     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICTAI.2006.90     Document Type: Conference Paper

References (23)

1. J. Lafferty, A. McCallum, and F. Pereira, "Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data," ICML-2001, 2001.
2. R. Kindermann and J. L. Snell, Markov Random Fields and Their Applications. Providence, R.I.: American Mathematical Society, 1980.
3. F. Sha and F. Pereira, "Shallow Parsing with Conditional Random Fields," Proceedings of the 2003 Human Language Technology Conference and North American Chapter of the Association for Computational Linguistics (HLT/NAACL-03), Edmonton, Canada, 2003.
4. Y. Qi, M. Szummer, and T. P. Minka, "Bayesian Conditional Random Fields," Tenth International Workshop on Artificial Intelligence and Statistics (AISTATS), 2005.
5. D. Cohn, L. Atlas, and R. Ladner, "Improving Generalization with Active Learning," Machine Learning, vol. 15, pp. 201-221, 1994.
6. G. Schohn and D. Cohn, "Less is More: Active Learning with Support Vector Machines," Proceedings of the 17th International Conference on Machine Learning, 2000.
7. K. Brinker, "Incorporating Diversity in Active Learning with Support Vector Machines," Proceedings of the Twentieth International Conference on Machine Learning (ICML-2003), Washington, DC, 2003.
8. M. Sassano, "An Empirical Study of Active Learning with Support Vector Machines for Japanese Word Segmentation," Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics (ACL), Philadelphia, 2002.
9. D. Shen, J. Zhang, J. Su, G. Zhou, and C.-L. Tan, "Multi-Criteria- based Active Learning for Named Entity Recognition," Proceedings of the ACL 2004, Barcelona, 2004.
10. A. McCallum, "Efficiently Inducing Features of Conditional Random Fields," Proceedings of the 19th Conference in Uncertainty in Artificial Intelligence (UAI-2003), 2003.
11. A. Smith, T. Cohn, and M. Osborne, "Logarithmic Opinion Pools for Conditional Random Fields," Proceedings of the 43rd Annual Meeting of the Association of Computational Linguistics (ACL-05), Ann Arbor, Michigan, 2005.
12. A. Finn and N. Kushmerick, "Active Learning Selection Strategies for Information Extraction," ECML-03 Workshop on Adaptive Text Extraction and Mining, 2003.
13. S. Tong and D. Koller, "Support vector machine active learning with applications to text classification," The Journal of Machine Learning Research, vol. 2, pp. 45-66, 2002.
14. Y. Freund, H. S. Seung, E. shamir, and N. Tishby, "Selective Sampling Using the Query by Committee Algorithm," Machine Learning, vol. 28, pp. 133-168, 1997.
15. X. Zhu, "Combining Active Learning and Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions," Proceedings of the ICML-2003 Workshop on the Continuum from Labeled to Unlabeled Data, Washington DC, 2003.
16. A. McCallum and K. Nigam, "Employing EM and Pool-Based Active Learning for Text Classification," Proceedings of the Fifteenth International Conference on Machine Learning, 1998.
17. S. Dasgupta, A. T. Kalai, and C. Monteleoni, "Analysis of Perceptron-Based Active Learning," Eighteenth Annual Conference on Learning Theory, 2005.
18. A. Culotta and A. McCallum, "Reducing Labeling Effort for Structured Prediction Tasks," AAAI-2005, 2005.
19. A. Culotta and A. McCallum, "Confidence Estimation for Information Extraction," Proceedings of Human Language Technology Conference and North American Chapter of the Association for Computational Linguistics (HLT-NAACL), Boston, 2004.
20. L. R. Rabiner, "A tutorial on hidden Markov models and selected applications in speech recognition," Proceedings of the IEEE, vol. 77, pp. 257-286, 1989.
21. L. R. Rabiner, A. E. Rosenberg, and S. E. Levinson, "Considerations in Dynamic Time Warping Algorithms for Discrete Word Recognition," IEEE ASSP, vol. 26, pp. 575-582, 1978.
22. E. Tjong Kim Sang and F. De Meulder, "Introduction to the CoNLL-2003 Shared Task: Language Independent Named Entity Recognition," Proceedings of CoNLL-2003, Edmonton, Canada, 2003.
23. J. Nocedal, A. Sartenaer, and C. Zhu, "On the Behavior of the Gradient Norm in the Steepest Descent Method," Computational Optimization and Applications, vol. 22, pp. 5-35, 2002.