NDLI: Combining classifiers for spoken language understanding

Content Provider	IEEE Xplore Digital Library
Author	Karahan, M. Hakkani-Tur, D. Riccardi, G. Tur, G.
Copyright Year	2003
Description	Author affiliation: Dept. of Comput. Sci., Purdue Univ., West Lafayette, IN, USA (Karahan, M.)
Abstract	We are interested in the problem of understanding spontaneous speech in the context of human-machine dialogs. Utterance classification is a key component of the understanding process to determine the intent of the user. The paper presents methods for combining different statistical classifiers for spoken language understanding. We propose three combination methods. The first one combines the scores assigned to the call-types by individual classifiers using a voting mechanism. The second method is a cascaded approach. The third method employs a top level learner to decide on the final call-type. We have evaluated these combination methods over three large spoken dialog databases (/spl sim/10/sup 6/ dialogs) collected using the AT&T natural spoken dialog system for customer care applications. The results indicate that it is possible to reduce significantly the error rate of the understanding module using these combination methods.
Starting Page	589
Ending Page	594
File Size	447909
Page Count	6
File Format	PDF
ISBN	0780379802
DOI	10.1109/ASRU.2003.1318506
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-11-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Natural languages Text categorization Speech Voting Routing Man machine systems Databases Error analysis Training data Humans
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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