AI-Debater 2023 挑战概览:论 argument 生成任务的挑战
计算与语言
2024-07-25 v2
摘要
本文介绍了由中国情感计算会议 (CCAC 2023) 举办的 AI-Debater 2023 挑战的结果,并介绍相关数据集。我们组织了两个轨道以处理不同情境下的论证生成任务,分别是反论生成 (Track 1) 和以主张为基础的论证生成 (Track 2)。每个轨道都配备其独特的数据集和基线模型。总计有 32 支参赛队队报名参赛,最终收到 11 项成功提交。本文将呈现挑战结果及参赛系统概述,突出各参赛系统之间的共性与创新。AI-Debater 2023 挑战的数据集和基线模型已公开发布,可通过挑战官方网站获取。
引用
@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}
}