ディベート型人工知能によるサポート性推定に基づく反論生成

佐藤 美沙; 柳井 孝介; 柳瀬 利彦; 是枝 祐太; 黒土 健三

doi:10.11517/pjsai.JSAI2018.0_3Pin116

32nd (2018)

Session ID : 3Pin1-16

DOI https://doi.org/10.11517/pjsai.JSAI2018.0_3Pin116

Conference information

Host: The Japanese Society for Artificial Intelligence

Name : The 32nd Annual Conference of the Japanese Society for Artificial Intelligence, 2018

Number : 32

Location : [in Japanese]

Date : June 05, 2018 - June 08, 2018

Debating AI: Counterargument Generation Based on Textual Supportiveness Recognition

*Misa SATO, Kohsuke YANAI, Toshihiko YANASE, Yuta KOREEDA, Kenzo KUROTSUCHI

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CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract

We will demonstrate a counterargument generation system in debating, which aims to utilize newswire articles for decision-making support. Users can specify a claim such as “We should legalize casinos because they promote economy.” and then the system outputs counterargument scripts against the claim.

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