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A Conventional Dialogue Model Based on Dialogue Patterns

Abstract : Our work aims at designing a dialogue manager dedicated to agents that interact with humans. In this article, we investigate how dialogue patterns at the dialogue act level extracted from Human-Human interactions can be fruitfully used by a software agent to interact with a human. We show how these patterns can be leveraged via a dialogue game structure in order to benefit to the dialogue management process of an agent. We describe how empirically specified dialogue games can be employed on both interpretative and generative levels of dialogue management. We present Dogma, an open-source module that can be used by an agent to manage its conventional communicative behaviour. We show that our library of dialogue games can be used into Dogma to generate fragments of dialogue that are strongly coherent from a human perspective.
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Contributor : Jean-Philippe Kotowicz Connect in order to contact the contributor
Submitted on : Saturday, March 13, 2021 - 10:03:09 AM
Last modification on : Friday, July 15, 2022 - 3:37:07 PM
Long-term archiving on: : Monday, June 14, 2021 - 6:10:11 PM


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Guillaume Dubuisson Duplessis, Alexandre Pauchet, Nathalie Chaignaud, Jean-Philippe Kotowicz. A Conventional Dialogue Model Based on Dialogue Patterns. International Journal on Artificial Intelligence Tools, World Scientific Publishing, 2017, 26 (01), pp.1760009. ⟨10.1142/S0218213017600090⟩. ⟨hal-02121702⟩



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