Dialogue systems are widely used in AI to support timely and interactive communication with users. We propose a general-purpose dialogue system architecture that leverages computational argumentation to perform reasoning and provide consistent and explainable answers. We illustrate the system using a COVID-19 vaccine information case study.

An Argumentative Dialogue System for COVID-19 Vaccine Information / Fazzinga, Bettina; Galassi, Andrea; Torroni, Paolo. - STAMPA. - 13040:(2021), pp. 477-485. (Intervento presentato al convegno 4th International Conference on Logic and Argumentation tenutosi a Hangzhou nel 20 October 2021) [10.1007/978-3-030-89391-0_27].

An Argumentative Dialogue System for COVID-19 Vaccine Information

Galassi, Andrea
Co-primo
;
Torroni, Paolo
Co-primo
2021

Abstract

Dialogue systems are widely used in AI to support timely and interactive communication with users. We propose a general-purpose dialogue system architecture that leverages computational argumentation to perform reasoning and provide consistent and explainable answers. We illustrate the system using a COVID-19 vaccine information case study.
2021
Logic and Argumentation. CLAR 2021.
477
485
An Argumentative Dialogue System for COVID-19 Vaccine Information / Fazzinga, Bettina; Galassi, Andrea; Torroni, Paolo. - STAMPA. - 13040:(2021), pp. 477-485. (Intervento presentato al convegno 4th International Conference on Logic and Argumentation tenutosi a Hangzhou nel 20 October 2021) [10.1007/978-3-030-89391-0_27].
Fazzinga, Bettina; Galassi, Andrea; Torroni, Paolo
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/836461
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