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Extending boosting for large scale spoken language understanding

Published:2007-09-25 Issue:1 Volume:69 Page:55-74
ISSN:0885-6125
Container-title:Machine Learning
language:en
Short-container-title:Mach Learn

Author:

Tur Gokhan

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/content/pdf/10.1007/s10994-007-5023-9.pdf

Reference36 articles.

1. Alshawi, H. (2003). Effective utterance classification with unsupervised phonotactic models. In Proceedings of the human language technology conference (HLT)-conference of the North American chapter of the association for computational linguistics (NAACL), Edmonton, Canada.

2. Bacchiani, M., Roark, B., & Saraclar, M. (2004). Language model adaptation with MAP estimation and the perceptron algorithm. In Proceedings of the human language technology conference (HLT)-conference of the North American chapter of the association for computational linguistics (NAACL), Boston, MA.

3. Blum, A., & Mitchell, T. (1998). Combining labeled and unlabeled data with co-training. In Proceedings of the workshop on computational learning theory (COLT), Madison, WI.

4. Caruana, R. (1997). Multitask learning. Machine Learning, 28(1), 41–75.

5. Chu-Carroll, J., & Carpenter, B. (1999). Vector-based natural language call routing. Computational Linguistics, 25(3), 361–388.

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