A Hybrid Architecture for Multi-Party Conversational Systems

Abstract : Multi-party Conversational Systems are systems with natural language interaction between one or more people or systems. From the moment that an utterance is sent to a group, to the moment that it is replied in the group by a member, several activities must be done by the system: utterance understanding, information search, reasoning, among others. In this paper we present the challenges of designing and building multi-party conversational systems, the state of the art, our proposed hybrid architecture using both norms and machine learning and some insights after implementing and evaluating one on the finance domain.
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Contributor : Jean-Pierre Briot <>
Submitted on : Friday, May 12, 2017 - 2:41:15 PM
Last modification on : Thursday, March 21, 2019 - 2:32:17 PM
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  • HAL Id : hal-01520491, version 1


Maira Gatti de Bayser, Paulo Cavalin, Renan Souza, Alan Braz, Heloisa Candello, et al.. A Hybrid Architecture for Multi-Party Conversational Systems. 2017. ⟨hal-01520491⟩



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