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A mixed approach to spoken language understanding

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2 Author(s)
Jianyi Liu ; Sch. of Inf. Eng., Beijing Univ. of Posts & Telecommun., China ; Cong Wang

A natural user interface (NUI), where a user can type or speak a request, is a good complement to the well-known graphical user interface (GUI). Accurately extracting user intent from such typed or spoken queries is a very difficult challenge. Statistical and knowledge-based are the two opposite kinds of possible approaches. Both of them have advantages and disadvantages. This paper presents a mixed approach to spoken language understanding that tries to make best use of the both algorithms. The method was tested with real data from users, and resulted in a task error rate of 1.94% and a semantic concept error rate of 5.73%.

Published in:

Natural Language Processing and Knowledge Engineering, 2005. IEEE NLP-KE '05. Proceedings of 2005 IEEE International Conference on

Date of Conference:

30 Oct.-1 Nov. 2005