Dialogue management in task-oriented dialogue systems

Abstract : This paper presents a new framework for implementing a dialogue manager, making it possible to infer new information in the course of the interaction as well as generating responses from the virtual agent. The approach relies on a specific organization of knowledge bases, including the creation of a common ground and a belief base. Moreover, the same type of rules implement both inference and control of the dialogue. This approach is implemented within a dialogue system for training doctors to break bad news (ACORFORMed).
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1st ACM SIGCHI International Workshop on In-vestigating Social Interactions with Artificial Agents (ISIAA'17), Nov 2017, Glasgow, United Kingdom. 2017, Proceedings of 1st ACM SIGCHI International Workshop on In-vestigating Social Interactions with Artificial Agents (ISIAA'17. 〈10.1145/3139491.3139507〉
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https://hal.archives-ouvertes.fr/hal-01708376
Contributeur : Philippe Blache <>
Soumis le : mardi 13 février 2018 - 15:43:01
Dernière modification le : samedi 17 février 2018 - 01:22:21
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Philippe Blache. Dialogue management in task-oriented dialogue systems. 1st ACM SIGCHI International Workshop on In-vestigating Social Interactions with Artificial Agents (ISIAA'17), Nov 2017, Glasgow, United Kingdom. 2017, Proceedings of 1st ACM SIGCHI International Workshop on In-vestigating Social Interactions with Artificial Agents (ISIAA'17. 〈10.1145/3139491.3139507〉. 〈hal-01708376〉

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