| Enhancing drug-drug interaction extraction from texts by molecular structure information M Asada, M Miwa, Y Sasaki ACL2018 2, 680-685, 2018 | 74 | 2018 |
| Using drug descriptions and molecular structures for drug–drug interaction extraction from literature M Asada, M Miwa, Y Sasaki Bioinformatics 37 (12), 1739-1746, 2021 | 59 | 2021 |
| Extracting drug-drug interactions with attention CNNs M Asada, M Miwa, Y Sasaki BioNLP 2017, 9-18, 2017 | 51 | 2017 |
| Integrating heterogeneous knowledge graphs into drug–drug interaction extraction from the literature M Asada, M Miwa, Y Sasaki Bioinformatics 39 (1), btac754, 2023 | 19 | 2023 |
| Representing a heterogeneous pharmaceutical knowledge-graph with textual information M Asada, N Gunasekaran, M Miwa, Y Sasaki Frontiers in Research Metrics and Analytics 6, 670206, 2021 | 11 | 2021 |
| BioNART: A biomedical non-AutoRegressive transformer for natural language generation M Asada, M Miwa The 22nd Workshop on Biomedical Natural Language Processing and BioNLP …, 2023 | 4 | 2023 |
| Enhancing Relation Extraction from Biomedical Texts by Large Language Models M Asada, K Fukuda International Conference on Human-Computer Interaction, 3-14, 2024 | 3 | 2024 |
| Bert-nar-bert: A non-autoregressive pre-trained sequence-to-sequence model leveraging bert checkpoints MG Sohrab, M Asada, M Rikters, M Miwa IEEE Access, 2023 | 2 | 2023 |
| Integrating Heterogeneous Domain Information into Relation Extraction: A Case Study on Drug-Drug Interaction Extraction M Asada Toyota Technological Institute (PhD Thesis), 2022 | 2 | 2022 |
| TTI-COIN at BioCreative VII Track 1 N Iinuma, M Asada, M Miwa, Y Sasaki Proceedings of the BioCreative VII Challenge Evaluation Workshop, 49-53, 2021 | | 2021 |
Makoto MiwaProfessor, Toyota Technological InstituteVerified email at toyota-ti.ac.jp
