  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.
