Learning internal representations by error propagation
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
Partially observable Markov decision processes for spoken dialog systems
Computer Speech and Language
A context-based grammar generation in mixed initiative dialogue system for visually impaired
ICCHP'10 Proceedings of the 12th international conference on Computers helping people with special needs
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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.