Publication: Soft Computing Models for the Development of Commercial Conversational Agents
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2011
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Springer
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Abstract
In this paper we present a proposal for the development of conversational agents that, on the one hand, takes into account the benefits of using standards like VoiceXML, whilst on the other, includes a module with a soft computing model that avoids the effort of manually defining the dialog strategy. This module is trained using a labeled dialog corpus, and selects the next system response considering a classification process based on neural networks that takes into account the dialog history. Thus, system developers only need to define a set of VoiceXML files, each including a system prompt and the associated grammar to recognize the users responses to the prompt. We have applied this technique to develop a conversational agent in VoiceXML that provides railway information in Spanish.
Description
Proceedings of: 6th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2011). Salamanca, April 6-8, 2011
Keywords
VoiceXML, Dialog Systems, Conversational Agents, Soft Computing, Artificial Intelligence
Bibliographic citation
Corchado, E. et al. (eds.) (2011) Soft Computing Models in Industrial and Environmental Applications, 6th International Conference SOCO 2011, (Advances in Intelligent and Soft Computing, 87), Springer, 173-182.