Abstract
This paper describes recent advances on the Text2Dialogue system we are currently developing. Our system enables automatic transformation of monological text into a dialogue. The dialogue is then “acted out” by virtual agents, using synthetic speech and gestures. In this paper, we focus on the monologue-to-dialogue transformation, and describe how it uses textual coherence relations to map text segments to query–answer pairs between an expert and a layman agent. By creating mapping rules for a few well-selected relations, we can produce coherent dialogues with proper assignment of turns for the speakers in a majority of cases.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
André, E., Rist, T., van Mulken, S., Klesen, M., Baldes, S.: The automated design of believable dialogues for animated presentation teams. In: Embodied Conversational Agents, pp. 220–255. MIT Press, Cambridge (2000)
Cavazza, M., Charles, F.: Dialogue generation in character-based interactive storytelling. In: Proceedings of the AAAI First Annual Artificial Intelligence and Interactive Digital Entertainment Conference, Marina Del Rey, California, USA (2005)
Nadamoto, A., Tanaka, K.: Complementing your TV-viewing by web content automatically-transformed into TV-program-type content. In: Procs. 13th Annual ACM Intl. Conf. on Multimedia, pp. 41–50. ACM Press, New York (2005)
Piwek, P., Hernault, H., Prendinger, H., Ishizuka, M.: T2D: Generating dialogues between virtual agents automatically from text. In: Pélachaud, C., Martin, J.-C., André, E., Chollet, G., Karpouzis, K., Pelé, D. (eds.) IVA 2007. LNCS (LNAI), vol. 4722, pp. 161–174. Springer, Heidelberg (2007)
Nischt, M., Prendinger, H., André, E., Ishizuka, M.: MPML3D: A reactive framework for the Multimodal Presentation Markup Language. In: Gratch, J., Young, M., Aylett, R.S., Ballin, D., Olivier, P. (eds.) IVA 2006. LNCS (LNAI), vol. 4133, pp. 218–229. Springer, Heidelberg (2006)
Prendinger, H., Descamps, S., Ishizuka, M.: MPML: A markup language for controlling the behavior of life-like characters. Journal of Visual Languages and Computing 15(2), 183–203 (2004)
Craig, S., Gholson, B., Ventura, M., Graesser, A.: the Tutoring Research Group: Overhearing dialogues and monologues in virtual tutoring sessions. Intl. Journal of Artificial Intelligence in Education 11, 242–253 (2000)
Le, H.T., Abeysinghe, G.: A study to improve the efficiency of a discourse parsing system. In: Gelbukh, A. (ed.) CICLing 2003. LNCS, vol. 2588, pp. 101–114. Springer, Heidelberg (2003)
Soricut, R., Marcu, D.: Sentence level discourse parsing using syntactic and lexical information. In: Procs. HLT/NAACL 2003, Edmonton, Canada (2003)
Mann, W.C., Thompson, S.A.: Rhetorical structure theory: Toward a functional theory of text organization. Text 8(3), 243–281 (1988)
Carlson, L., Marcu, D.: Discourse tagging reference manual. Technical Report ISI-TR-545, ISI (September 2001)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Hernault, H., Piwek, P., Prendinger, H., Ishizuka, M. (2008). Generating Dialogues for Virtual Agents Using Nested Textual Coherence Relations. In: Prendinger, H., Lester, J., Ishizuka, M. (eds) Intelligent Virtual Agents. IVA 2008. Lecture Notes in Computer Science(), vol 5208. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85483-8_14
Download citation
DOI: https://doi.org/10.1007/978-3-540-85483-8_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85482-1
Online ISBN: 978-3-540-85483-8
eBook Packages: Computer ScienceComputer Science (R0)