| BioBERT: a pre-trained biomedical language representation model for biomedical text mining J Lee †, W Yoon †, S Kim, D Kim, S Kim, CH So, J Kang Bioinformatics 36 (4), 1234-1240, 2020 | 5662 | 2020 |
| Collabonet: collaboration of deep neural networks for biomedical named entity recognition W Yoon †, CH So †, J Lee, J Kang BMC bioinformatics 20 (10), 249, 2019 | 163 | 2019 |
| A neural named entity recognition and multi-type normalization tool for biomedical text mining D Kim, J Lee, CH So, H Jeon, M Jeong, Y Choi, W Yoon, M Sung, J Kang IEEE Access 7, 73729-73740, 2019 | 133 | 2019 |
| Pre-trained language model for biomedical question answering W Yoon, J Lee, D Kim, M Jeong, J Kang 7th BioASQ Workshop at ECML PKDD 2019, 2019 | 102 | 2019 |
| Answering questions on COVID-19 in real-time J Lee, SS Yi, M Jeong, M Sung, W Yoon, Y Choi, M Ko, J Kang Proceedings of the 1st Workshop on NLP for COVID-19 (Part 2) at EMNLP 2020, 2020 | 51 | 2020 |
| Pandemics are catalysts of scientific novelty: Evidence from COVID‐19 M Liu, Y Bu, C Chen, J Xu, D Li, Y Leng, RB Freeman, ET Meyer, W Yoon, ... Journal of the Association for Information Science and Technology 73 (8 …, 2022 | 36 | 2022 |
| Transferability of Natural Language Inference to Biomedical Question Answering M Jeong †, M Sung †, G Kim, D Kim, W Yoon, J Yoo, J Kang arXiv preprint arXiv:2007.00217, 2020 | 33 | 2020 |
| Sequence tagging for biomedical extractive question answering W Yoon, R Jackson, A Lagerberg, J Kang Bioinformatics 38 (15), 3794-3801, 2022 | 26 | 2022 |
| Learning by semantic similarity makes abstractive summarization better W Yoon, YS Yeo, M Jeong, BJ Yi, J Kang arXiv preprint arXiv:2002.07767, 2020 | 24 | 2020 |
| Can pandemics transform scientific novelty? Evidence from COVID-19 M Liu, Y Bu, C Chen, J Xu, D Li, Y Leng, RB Freeman, E Meyer, W Yoon, ... | 14 | 2021 |
| Improving tagging consistency and entity coverage for chemical identification in full-text articles H Kim, M Sung, W Yoon, S Park, J Kang arXiv preprint arXiv:2111.10584, 2021 | 9 | 2021 |
| Using Knowledge Base to Refine Data Augmentation for Biomedical Relation Extraction W Yoon, S Yi, R Jackson, H Kim, S Kim, J Kang | 8* | |
| Data-centric and model-centric approaches for biomedical question answering W Yoon, J Yoo, S Seo, M Sung, M Jeong, G Kim, J Kang International Conference of the Cross-Language Evaluation Forum for European …, 2022 | 6 | 2022 |
| Overview of the 2024 shared task on chemotherapy treatment timeline extraction J Yao, H Hochheiser, WJ Yoon, E Goldner, G Savova Proceedings of the 6th Clinical Natural Language Processing Workshop, 557-569, 2024 | 4 | 2024 |
| Biomedical NER for the Enterprise with Distillated BERN2 and the Kazu Framework W Yoon, R Jackson, E Ford, V Poroshin, J Kang Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 4 | 2022 |
| Ku_ed at socialdisner: Extracting disease mentions in tweets written in spanish A Lain, W Yoon, H Kim, J Kang, I Simpson The 7th Workshop on Social Media Mining for Health Applications, 2022, 78-80, 2022 | 3 | 2022 |
| Exploring Approaches to Answer Biomedical Questions: From Pre-processing to GPT-4. H Kim, H Hwang, C Lee, M Seo, W Yoon, J Kang CLEF (Working Notes), 132-144, 2023 | 1 | 2023 |
| LCD Benchmark: Long Clinical Document Benchmark on Mortality Prediction for Language Models WJ Yoon, S Chen, Y Gao, Z Zhao, D Dligach, DS Bitterman, M Afshar, ... medRxiv, 2024.03. 26.24304920, 2024 | | 2024 |
| Full-text chemical identification with improved generalizability and tagging consistency H Kim, M Sung, W Yoon, S Park, J Kang Database 2022, baac074, 2022 | | 2022 |
Jaewoo Kang (강재우)Dept of Computer Science and Engineering, Korea UniversityVerified email at korea.ac.kr
