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arXiv · 1705.01214

A Hybrid Architecture for Multi-Party Conversational Systems

Maira Gatti de Bayser·Paulo Cavalin·Renan Souza·Alan Braz·Heloisa Candello·Claudio Pinhanez·Jean-Pierre Briot
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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 rules and machine learning and some insights after implementing and evaluating one on the finance domain.

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Maira Gatti de Bayser, Paulo Cavalin, Renan Souza, Alan Braz, Heloisa Candello, Claudio Pinhanez, Jean-Pierre Briot. 2017-05-03. A Hybrid Architecture for Multi-Party Conversational Systems. https://arxiv.org/abs/1705.01214

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