Kavli Affiliate: Long Zhang
| First 5 Authors: Jiayu Lin, Guanrong Chen, Bojun Jin, Chenyang Li, Shutong Jia
| Summary:
In this paper we present the results of the AI-Debater 2023 Challenge held by
the Chinese Conference on Affect Computing (CCAC 2023), and introduce the
related datasets. We organize two tracks to handle the argumentative generation
tasks in different scenarios, namely, Counter-Argument Generation (Track 1) and
Claim-based Argument Generation (Track 2). Each track is equipped with its
distinct dataset and baseline model respectively. In total, 32 competing teams
register for the challenge, from which we received 11 successful submissions.
In this paper, we will present the results of the challenge and a summary of
the systems, highlighting commonalities and innovations among participating
systems. Datasets and baseline models of the AI-Debater 2023 Challenge have
been already released and can be accessed through the official website of the
challenge.
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