Abstract
Dialogue modelling attempts to determine the way in which a dialogue is developed. The dialogue strategy (i.e., the system behaviour) of an automatic dialogue system is determined by the dialogue model. Most dialogue systems use rule-based dialogue strategies, but recently, the probabilistic models have become very promising. We present probabilistic models based on the dialogue act concept, which uses user turns, dialogue history and semantic information. These models are evaluated as dialogue act labelers. The evaluation is carried out on a railway information task.
This work was partially supported by Spanish CICYT under project TIC 2000-1599-C02-01 and Programa de Incentivo a la Investigación de la Universidad Politécnica de Valencia.
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Martínez-Hinarejos, C.D., Casacuberta, F. (2002). Evaluating a Probabilistic Dialogue Model for a Railway Information Task. In: Sojka, P., Kopeček, I., Pala, K. (eds) Text, Speech and Dialogue. TSD 2002. Lecture Notes in Computer Science(), vol 2448. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46154-X_54
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DOI: https://doi.org/10.1007/3-540-46154-X_54
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