| 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 2019, 2019 | 128 | 2019 |
| Biomedical entity representations with synonym marginalization M Sung, H Jeon, J Lee, J Kang ACL 2020, 2020 | 123 | 2020 |
| Learning dense representations of phrases at scale J Lee, M Sung, J Kang, D Chen ACL 2021, 2020 | 106 | 2020 |
| Can language models be biomedical knowledge bases? M Sung, J Lee, S Yi, M Jeon, S Kim, J Kang EMNLP 2021, 2021 | 85 | 2021 |
| BERN2: an advanced neural biomedical named entity recognition and normalization tool M Sung, M Jeong, Y Choi, D Kim, J Lee, J Kang Bioinformatics 2022, 2022 | 70 | 2022 |
| Answering questions on COVID-19 in real-time J Lee, SS Yi, M Jeong, M Sung, WJ Yoon, Y Choi, M Ko, J Kang EMNLP 2020, NLP COVID-19 Workshop, 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, ... J Assoc Inf Sci Technol 2022, 2022 | 43* | 2022 |
| Transferability of Natural Language Inference to Biomedical Question Answering M Jeong, M Sung, G Kim, D Kim, W Yoon, J Yoo, J Kang CLEF 2020, BioASQ workshop, 2020 | 34 | 2020 |
| Full-text chemical identification with improved generalizability and tagging consistency H Kim, M Sung, W Yoon, S Park, J Kang Database 2022, 2022 | 7* | 2022 |
| KU-DMIS at BioASQ 9: Data-centric and model-centric approaches for biomedical question answering. W Yoon, J Yoo, S Seo, M Sung, M Jeong, G Kim, J Kang CLEF 2021, 2021 | 7* | 2021 |
| Adversarial subword regularization for robust neural machine translation J Park, M Sung, J Lee, J Kang EMNLP 2020, Findings, 2020 | 7 | 2020 |
| Chemical identification and indexing in full-text articles: an overview of the NLM-Chem track at BioCreative VII R Leaman, R Islamaj, V Adams, MA Alliheedi, JR Almeida, R Antunes, ... Database 2023, baad005, 2023 | 3 | 2023 |
| Improving Medical Reasoning through Retrieval and Self-Reflection with Retrieval-Augmented Large Language Models M Jeong, J Sohn, M Sung, J Kang ISMB 2024, 2024 | 2 | 2024 |
| Optimizing Test-Time Query Representations for Dense Retrieval M Sung, J Park, J Kang, D Chen, J Lee ACL 2023, Findings, 2022 | 2 | 2022 |
| Pre-training intent-aware encoders for zero-and few-shot intent classification M Sung, J Gung, E Mansimov, N Pappas, R Shu, S Romeo, Y Zhang, ... EMNLP 2023, 2023 | 1 | 2023 |
| KU-DMIS-MSRA at RadSum23: Pre-trained Vision-Language Model for Radiology Report Summarization G Kim, H Kim, L Ji, S Bae, C Kim, M Sung, H Kim, K Yan, E Chang, J Kang ACL 2023, BioNLP workshop, 2023 | | 2023 |
