An Argumentative Dialogue System for COVID-19 Vaccine Information

TL;DR

This paper introduces a general-purpose dialogue system architecture that uses computational argumentation to deliver consistent, explainable answers, demonstrated through a COVID-19 vaccine information case study.

Contribution

It presents a novel dialogue system architecture leveraging computational argumentation for reasoning and explanation, applied specifically to COVID-19 vaccine information.

Findings

System provides consistent and explainable responses.

Effective handling of COVID-19 vaccine queries demonstrated.

Framework adaptable to other domains.

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.