A Dialog Management Methodology Based on Neural Networks and Its Application to Different Domains

In this paper, we present a statistical approach for dialog management within the framework of two different domains. The dialog model, that is automatically learned from a data corpus, is based on the use of a classification process to generate the next system answer. A neural network classifier is used for the selection process. This methodology has been applied in a spoken dialog system that provides railway information. The definition of an extended methodology that takes into account new system functionalities and its application for developing a dialog system for booking sports facilities is also described.

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