Active learning for classifying phone sequences from unsupervised phonotactic models

Proceedings of the 2003 Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics - Short Papers, HLT-NAACL 2003

Volumn , Issue , 2003, Pages 19-21

  Douglas, Shona ^a  

^a AT AND T LABS RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); LEARNING SYSTEMS;

ACTIVE LEARNING; ACTIVE LEARNING METHODS; AUDIO FILES; CLASS LABELS; CONFIDENCE SCORE; LABELINGS; RECOGNITION METHODS; SPOKEN LANGUAGES; SYSTEM DOMAIN; TRAINING DATA;

TELEPHONE SETS;

EID: 84973889735     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (4)

1. H. Alshawi. 2003. Effective utterance classification with unsupervised phonotactic models. In HLT-NAACL 2003, Edmonton, Canada.
2. A. K. McCallum and K. Nigam. 1998. Employing EM in pool-based active learning for text classification. In Proceedings of the 15th International Conference on Machine Learning, pages 350–358.
3. R. E. Schapire and Y. Singer. 2000. BoosTexter: A boosting-based system for text categorization. Machine Learning, 39(2/3):135–168.
4. Gokhan Tur, Robert E. Schapire,, and Dilek Hakkani-Tur. 2003. Active learning for spoken language understanding. In Proceedings of International Conference on Acoustics, Speech and Signal Processing (ICASSP’03), Hong Kong, April. (to appear).