The ditlab team participated in the QA alignment and Question Answering task of the NTCIR-16 QA Lab-PoliInfo-3 task. First, we developed a QA alignment system that associates each question to its answer by using heuristic rules to make paragraphs composed of the related sentences and by matching them. Heuristic rules were optimized for minutes. We prepared four types of features for matching. Second, we built a QA system that uses a similarity measure to find the original question similar to the question summary. The QA system then identified the answers associated with the original question using the results of the QA alignment described above. A Text-to-Text Transfer Transformer (T5) was used to summarize the associated answer.
Tachioka et al. (2022) studied this question.