Our nukl team participated in the NTCIR-16 QA Lab-PoliInfo-3's question answering (QA) subtask. This paper describes the QA system for Japanese assembly member speeches using T5. We generated answer summaries using two input types: the answerer's entire utterance and the answer text corresponding to the input question. We made two T5 models for each input and determined the final output according to the length of the answerer's utterance. Our system achieved the highest score in both automatic and human evaluations in this subtask.
OGAWA et al. (Tue,) studied this question.