We give a detailed overview of the CAIL 2023 Argument Mining Track, one of the Chinese AI and Law Challenge (CAIL) 2023 tracks. The main goal of the track is to identify and extract interacting argument pairs in trial dialogs. It mainly uses summarized judgment documents but can also refer to trial recordings. The track consists of two stages, and we introduce the tasks designed for each stage; we also extend the data from previous events into a new dataset -- CAIL2023-ArgMine -- with annotated new cases from various causes of action. We outline several submissions that achieve the best results, including their methods for different stages. While all submissions rely on language models, they have incorporated strategies that may benefit future work in this field.

翻译：本文对 CAIL 2023 论辩挖掘赛道进行了详细综述，该赛道是 2023 年中国人工智能与法律挑战赛（CAIL）的赛道之一。该赛道的主要目标是在庭审对话中识别并提取相互作用的论辩对。其主要使用概括性的判决文书，但也可参考庭审录音。该赛道包含两个阶段，我们介绍了为每个阶段设计的任务；同时，我们将往届赛事的数据扩展为一个新的数据集——CAIL2023-ArgMine，其中包含了来自多种案由的已标注新案例。我们概述了若干取得最佳结果的提交方案，包括它们在不同阶段采用的方法。尽管所有提交方案都依赖于语言模型，但它们融入的策略可能对该领域未来的工作有所裨益。