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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References
Ch. Manning, H. Schütze 2001. Foundations of statistical natural language processing. MIT Press.
A. Zampolli G.B. Varile. 1996. Survey of the state of the art in human language technology. Cambridge University Press, Giardini Editori.
M. Araki and S. Doshita. 1998. A robust dialogue model for spoken dialogue processing. In Proc. Int. Conf. on Spoken Language Processing, Volume 4, pp. 1171–1174.
A. Stolcke, N. Coccaro, R. Bates, P. Taylor, C. van Ess-Dykema, K. Ries, E. Shriberg, D. Jurafsky, R. Martin, and M. Meteer. 2000. Dialogue act modelling for automatic tagging and recognition of conversational speech. Computational Linguistics, 26(3):1–34.
J. R. Searle, 1969. Speech acts. Cambridge University Press.
T. Fukada, D. Koll, A. Waibel, and K. Tanigaki. 1998. Probabilistic dialogue act extraction for concept based multilingual translation systems. In Proc. Int. Conf. on Spoken Language Processing, volume 6, pages 2771–2774.
C. D. Martínez-Hinarejos, F. Casacuberta. 2002. Probabilistic dialogue modelling Submitted to 40 th Aniversary Meeting of Association for Computational Linguistics.
A. Bonafonte, P. Aibar, N. Castell, E. Lleida, J. B. Mariño, E. Sanchis, M. I. Torres 2000. Desarrollo de un sistema de diálogo oral en dominios restringidos. I Meeting on Language Engineering, Sevilla, Spain, 6th–10th November 2000.
M. Fraser and G. Gilbert. 1991. Simulating speech systems. Computer Speech and Language, 5:81–99.
C. Martínez, E. Sanchis, F. García, P. Aibar 2002. A labelling proposal to annotate dialogues Third International Conference on Language Resources and Evaluation, Las Palmas de Gran Canaria, 29–31 May, 2002, to appear.
E. Segarra, E. Sanchis, M. Galiano, F. García, and L. Hurtado. to appear. Extracting semantic information through automatic learning techniques. Pattern Recognition Letters.
N. Fraser, 1997. Assessment of interactive systems, pages 564–614. Mouton de Gruyter.
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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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