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Conference Paper
Dialogue Management for Intelligent TV Based on Statistical Learning Method
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- Authors
- Hyo-Jung Oh, Chung-Hee Lee, Yi-Gyu Hwang, Myung-Gil Jang
- Issue Date
- 2007-09
- Citation
- International Conference on Text, Speech and Dialogue (TSD) 2007 (LNCS 4629), v.4629, pp.644-652
- Publisher
- Springer
- Language
- English
- Type
- Conference Paper
- Abstract
- In this paper, we introduce a practical spoken dialogue interface for intelligent TV based on goal-oriented dialogue modeling. It uses a frame structure for representing the user intention and determining the next action. To analyze discourse context, we employ several statistical learning techniques and device an incremental dialogue strategy learning method from training corpus. By empirical experiments, we demonstrated the efficiency of the proposed system. In case of the subjective evaluation, we obtained 73% user satisfaction ratio, while the objective evaluation result was over 90% in case of a restricted situation for commercialization1. © Springer-Verlag Berlin Heidelberg 2007.
- KSP Keywords
- Dialogue management, Dialogue modeling, Discourse context, Empirical experiments, Frame structure, Goal-oriented, Incremental dialogue, Learning methods, Objective Evaluation, Satisfaction ratio, Spoken dialogue interface