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arXiv 2107.12079cs.CLcs.AIcs.IRcs.LG

An Argumentative Dialogue System for COVID-19 Vaccine Information

ICAR-CNR(ICAR-CNR研究院);University of Calabria(卡拉布里亚大学);University of Bologna(博洛尼亚大学)

Bettina Fazzinga, Andrea Galassi, Paolo Torroni

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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