Descripción
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We present an evaluation of a spoken language dialogue system with a module for the management of user-related information, stored as user preferences and privileges. The flexibility of our dialogue management approach, based on Bayesian Networks (BN), together with a contextual information module, which performs different strategies for handling such information, allows us to include user information as a new level into the Context Manager hierarchy. We propose a set of objective and subjective metrics to measure the relevance of the different contextual information sources. The analysis of our evaluation scenarios shows that the relevance of the short-term information (i.e. the system status) remains pretty stable throughout the dialogue, whereas the dialogue history and the user profile (i.e. the middle-term and the long-term information, respectively) play a complementary role, evolving their usefulness as the dialogue evolves. | |
Internacional
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Si |
Nombre congreso
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3rd International Conference on Agents and Artificial Intelligence (ICAART 2011) |
Tipo de participación
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960 |
Lugar del congreso
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Rome (Italy) |
Revisores
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Si |
ISBN o ISSN
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978-989-8425-40-9 |
DOI
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Fecha inicio congreso
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28/01/2011 |
Fecha fin congreso
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30/01/2011 |
Desde la página
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218 |
Hasta la página
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223 |
Título de las actas
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Proceedings of the 3rd International Conference on Agents and Artificial Intelligence (ICAART 2011), Vol. I |