Training conditional random fields using incomplete annotations

Coling 2008 - 22nd International Conference on Computational Linguistics, Proceedings of the Conference

Volumn 1, Issue , 2008, Pages 897-904

  Tsuboi, Yuta ^a   Kashima, Hisashi ^a   Mori, Shinsuke ^b   Oda, Hiroki ^c   Matsumoto, Yuji ^d  

^a IBM RESEARCH   (United States)

^b KYOTO UNIVERSITY   (Japan)

^c Shinagawa ^*  (Japan)

^d NARA INSTITUTE OF SCIENCE AND TECHNOLOGY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

RANDOM PROCESSES;

CONDITIONAL RANDOM FIELD; CONDITIONAL RANDOM FIELDS(CRFS); DOMAIN ADAPTATION; PARAMETER ESTIMATION METHOD; PART OF SPEECH TAGGING; TREEBANKS; WORD SEGMENTATION;

COMPUTATIONAL LINGUISTICS;

EID: 80053419771     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/1599081.1599194     Document Type: Conference Paper

References (17)

1. Anderson, Brigham, Sajid Siddiqi, and Andrew Moore. 2006. Sequence selection for active learning. Technical Report CMU-IR-TR-06-16, Carnegie Mellon University.
2. Beers, Mark H. 2004. The Merck Manual of Medical Information (in Japanese). Nikkei Business Publications, Inc, Home edition.
3. Clark, Stephen and James R. Curran. 2006. Partial training for a lexicalized-grammar parser. In Proceedings of the Annual Meeting of the North American Association for Computational Linguistics, pages 144-151.
4. Culotta, Aron, Trausti Kristjansson, Andrew McCallum, and Paul Viola. 2006. Corrective feedback and persistent learning for information extraction. Artificial Intelligence Journal, 170:1101-1122.
5. Keene, Donald, Hiroyoshi Hatori, Haruko Yamada, and Shouko Irabu, editors. 1992. Japanese-English Sentence Equivalents (in Japanese). Asahi Press, Electronic book edition.
6. Kudo, Taku, Kaoru Yamamoto, and Yuji Matsumoto. 2004. Applying conditional random fields to Japanese morphological analysis. In Proceedings of Empirical Methods in Natural Language Processing.
7. Lafferty, John, Andrew McCallum, and Fernando Pereira. 2001. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In Proceedings of the 18th International Conference on Machine Learning.
8. Luo, Xiaoquan. 2003. A maximum entropy chinese character-based parser. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, pages 192-199.
9. Marcus, Mitchell P., Mary Ann Marcinkiewicz, and Beatrice Santorini. 1993. Building a large annotated corpus of English: The Penn treebank. Computational Linguistics, 19(2).
10. Mori, Shinsuke. 2006. Language model adaptation with a word list and a raw corpus. In Proceedings of the 9th International Conference on Spoken Language Processing.
11. Peng, Fuchun, Fangfang Feng, and Andrew McCallum. 2004. Chinese segmentation and new word detection using conditional random fields. In Proceedings of the International Conference on Computational Linguistics.
12. Pereira, Fernando C. N. and Yves Schabes. 1992. Inside-outside reestimation from partially bracketed corpora. In Proceedings of Annual Meeting Association of Computational Linguistics, pages 128-135.
13. Petrov, Slav and Dan Klein. 2008. Discriminative log-linear grammars with latent variables. In Advances in Neural Information Processing Systems, pages 1153-1160, Cambridge, MA. MIT Press.
14. Quattoni, Ariadna, Michael Collins, and Trevor Darrell. 2004. Conditional random fields for object recognition. In Advances in Neural Information Processing Systems.
15. Sha, Fei and Fernando Pereira. 2003. Shallow parsing with conditional random fields. In Proceedings of Human Language Technology-NAACL, Edmonton, Canada.
16. Taskar, Ben, Simon Lacoste-Julien, and Dan Klein. 2005. A discriminative matching approach to word alignment. In Proceedings of the Conference on Empirical Methods in Natural Language Processing.
17. Verbeek, Jakob and Bill Triggs. 2008. Scene segmentation with CRFs learned from partially labeled images. In Advances in Neural Information Processing Systems, pages 1553-1560, Cambridge, MA. MIT Press.