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On-line learning of a Persian spoken dialogue system using real training data

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3 Author(s)
Maryam Habibi ; Department of Computer Engineering, Sharif University of Technology, Tehran, Iran ; Hossein Sameti ; Hesam Setareh

The first spoken dialogue system is developed for the Persian language is introduced. This is a ticket reservation system with Persian ASR and NLU modules. The focus of the paper is on learning the dialogue management module. In this work, real on-line training data are used during the learning process. For on-line learning, the effect of the variations of discount factor (γ) on the learning speed is investigated as the second contribution of the research. The optimal values for γ were found and the variation pattern of the action-value function (Q) in the learning process was obtained. A probabilistic policy for selecting actions is used in this work for the first time instead of greedy policies employed in previous works.

Published in:

Information Sciences Signal Processing and their Applications (ISSPA), 2010 10th International Conference on

Date of Conference:

10-13 May 2010