Using collaborative discourse theory to partially automate dialogue tree authoring

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Abstract

We have developed a novel methodology combining hierarchical task networks with traditional dialogue trees that both partially automates dialogue authoring and improves the degree of dialogue structure reuse. The key to this methodology is a lightweight utterance semantics derived from collaborative discourse theory, making it a step towards dialogue generation based on cognitive models rather than manual authoring. We have implemented an open-source tool, called Disco for Games (D4g), to support the methodology and present a fully worked example of using this tool to generate a dialogue about baseball. © 2012 Springer-Verlag Berlin Heidelberg.

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Rich, C., & Sidner, C. L. (2012). Using collaborative discourse theory to partially automate dialogue tree authoring. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7502 LNAI, pp. 327–340). Springer Verlag. https://doi.org/10.1007/978-3-642-33197-8_34

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