corpus (ප໊ͷநग़+ਖ਼نԽ) F1 score 0.572 (MetaMap) → 0.886 (SOTA) → 0.897 PubMedQA (title͕ٙจͷจͷ abstractͷconclusionΛ, ͦΕҎ֎ͷ෦͔ Βਪఆ) Lee J et al. BioBERT: a pre-trained biomedical language representation model for biomedical text mining. Bioinformatics 36(4): 1234- 1240, 2020 Jin Q, Dhingra B, Liu Z, Cohen W, Lu X: PubMedQA: A Dataset for Biomedical Research Question Answering. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): 2567-2577, 2019