The JRIRD team participated in the budget argument mining subtask of the NTCIR-16 QA Lab-PoliInfo-3. This paper reports on our approach to solving this problem and discusses the official results. Our system consists of two BERT models that work independently toward two objectives: argument classification (AC) and related ID detection (RID). The results show that our system performs well, especially for argument classification.
Kadowaki et al. (Tue,) studied this question.