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.
@article{arxiv.2407.14829,
title = {Overview of AI-Debater 2023: The Challenges of Argument Generation Tasks},
author = {Jiayu Lin and Guanrong Chen and Bojun Jin and Chenyang Li and Shutong Jia and Wancong Lin and Yang Sun and Yuhang He and Caihua Yang and Jianzhu Bao and Jipeng Wu and Wen Su and Jinglu Chen and Xinyi Li and Tianyu Chen and Mingjie Han and Shuaiwen Du and Zijian Wang and Jiyin Li and Fuzhong Suo and Hao Wang and Nuanchen Lin and Xuanjing Huang and Changjian Jiang and RuiFeng Xu and Long Zhang and Jiuxin Cao and Ting Jin and Zhongyu Wei},
journal= {arXiv preprint arXiv:2407.14829},
year = {2024}
}