Dialogical Argument Mining(DialAM) is an important branch of Argument Mining(AM). DialAM-2024 is a shared task focusing on dialogical argument mining, which requires us to identify argumentative relations and illocutionary relations among proposition nodes and locution nodes. To accomplish this, we propose a two-stage pipeline, which includes the Two-Step S-Node Prediction Model in Stage 1 and the YA-Node Prediction Model in Stage 2. We also augment the training data in both stages and introduce context in Stage 2. We successfully completed the task and achieved good results. Our team Pokemon ranked 1st in the ARI Focused score and 4th in the Global Focused score.

翻译：对话式论辩挖掘是论辩挖掘的一个重要分支。DialAM-2024是一个专注于对话式论辩挖掘的共享任务，要求我们识别命题节点和表述节点之间的论证关系及言外行为关系。为此，我们提出了一个两阶段流水线，包括第一阶段的两步S-节点预测模型和第二阶段的YA-节点预测模型。我们在两个阶段均对训练数据进行了增强，并在第二阶段引入了上下文信息。我们成功完成了该任务并取得了良好结果。我们的团队Pokemon在ARI Focused分数中排名第一，在Global Focused分数中排名第四。