Evaluating a Probabilistic Dialogue Model for a Railway Information Task

Authors:
Carlos D. Martínez-Hinarejos;Francisco Casacuberta
Affiliations:
-;-
Venue:
TSD '02 Proceedings of the 5th International Conference on Text, Speech and Dialogue
Year:
2002

Citing 2
Cited 1

Foundations of statistical natural language processing

Foundations of statistical natural language processing
Dialogue act modeling for automatic tagging and recognition of conversational speech

Computational Linguistics

Automatic annotation of dialogues using n-grams

TSD'06 Proceedings of the 9th international conference on Text, Speech and Dialogue

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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.