A high-performance semi-supervised learning method for text chunking

ACL-05 - 43rd Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference

Volumn , Issue , 2005, Pages 1-9

  Ando, Rie Kubota ^a   Zhang, Tong ^a  

^a IBM T J WATSON RESEARCH CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTATIONAL LINGUISTICS; LEARNING ALGORITHMS; MACHINE LEARNING;

AUTOMATICALLY GENERATED; IMPROVE PERFORMANCE; MULTIPLE CLASSIFICATION; PREDICTIVE STRUCTURES; SEMI- SUPERVISED LEARNING; SEMI-SUPERVISED LEARNING METHODS; SEMI-SUPERVISED METHOD; STRUCTURAL LEARNING;

SUPERVISED LEARNING;

EID: 84859921107     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/1219840.1219841     Document Type: Conference Paper

References (20)

1. Rie Kubota Ando and Tong Zhang. 2004. A framework for learning predictive structures from multiple tasks and unlabeled data. Technical report, IBM. RC23462.
2. Rie Kubota Ando. 2004. Semantic lexicon construction: Learning from unlabeled data via spectral analysis. In Proceedings of CoNLL-2004.
3. Avrim Blum and Tom Mitchell. 1998. Combining labeled and unlabeled data with co-training. In proceedings of COLT-98.
4. Xavier Carreras and Lluis Marquez. 2003. Phrase recognition by classification and ranking with perceptrons. In Proceedings of RANLP-2003.
5. Hai Leong Chieu and Hwee Tou Ng. 2003. Named entity recognition with a maximum entropy approach. In Proceedings CoNLL-2003, pages 160-163.
6. Michael Collins and Yoram Singer. 1999. Unsupervised models for named entity classification. In Proceedings of EMNLP/VLC'99.
7. Radu Florian, Abe Ittycheriah, Hongyan Jing, and Tong Zhang. 2003. Named entity recognition through classifier combination. In Proceedings CoNLL-2003, pages 168-171.
8. Gene H. Golub and Charles F. Van Loan. 1996. Matrix computations third edition.
9. Dan Klein, Joseph Smarr, Huy Nguyen, and Christopher D. Manning. 2003. Named entity recognition with character-level models. In Proceedings CoNLL-2003, pages 188-191.
10. Taku Kudoh and Yuji Matsumoto. 2001. Chunking with support vector machines. In Proceedings of NAACL 2001.
11. Bernard Merialdo. 1994. Tagging English text with a probabilistic model. Computational Linguistics, 20(2):155-171.
12. Scott Miller, Jethran Guinness, and Alex Zamanian. 2004. Name tagging with word clusters and discriminative training. In Proceedings of HLT-NAACL-2004.
13. Vincent Ng and Claire Cardie. 2003. Weakly supervised natural language learning without redundant views. In Proceedings of HLT-NAACL-2003.
14. David Pierce and Claire Cardie. 2001. Limitations of co-training for natural language learning from large datasets. In Proceedings of EMNLP-2001.
15. Ellen Riloff and Rosie Jones. 1999. Learning dictionaries for information extraction by multi-level bootstrapping. In Proceedings of AAAI-99.
16. Fei Sha and Fernando Pereira. 2003. Shallow parsing with conditional random fields. In Proceedings of HLT-NAACL'03.
17. David Yarowsky. 1995. Unsupervised word sense disambiguation rivaling supervised methods. In Proceedings of ACL-95.
18. Tong Zhang and David E. Johnson. 2003. A robust risk minimization based named entity recognition system. In Proceedings CoNLL-2003, pages 204-207.
19. Tong Zhang, Fred Damerau, and David E. Johnson. 2002. Text chunking based on a generalization ofWinnow. Journal of Machine Learning Research, 2:615-637. (Pubitemid 135712575)
20. Tong Zhang. 2004. Solving large scale linear prediction problems using stochastic gradient descent algorithms. In ICML 04, pages 919-926. (Pubitemid 40290898)