Minbyul Jeong
Cited by
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Graph transformer networks
S Yun, M Jeong, R Kim, J Kang, HJ Kim
Advances in neural information processing systems 32, 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
Building a PubMed knowledge graph
J Xu, S Kim, M Song, M Jeong, D Kim, J Kang, JF Rousseau, X Li, W Xu, ...
Scientific data 7 (1), 1-15, 2020
Pre-trained language model for biomedical question answering
W Yoon, J Lee, D Kim, M Jeong, J Kang
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019
Hats: A hierarchical graph attention network for stock movement prediction
R Kim, CH So, M Jeong, S Lee, J Kim, J Kang
arXiv preprint arXiv:1908.07999, 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
arXiv preprint arXiv:2006.15830, 2020
Learning by semantic similarity makes abstractive summarization better
W Yoon, YS Yeo, M Jeong, BJ Yi, J Kang
arXiv preprint arXiv:2002.07767, 2020
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
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, ...
arXiv preprint arXiv:2009.12500, 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, 2021
Regularizing Models via Pointwise Mutual Information for Named Entity Recognition
M Jeong, J Kang
arXiv preprint arXiv:2104.07249, 2021
BERN2: an advanced neural biomedical named entity recognition and normalization tool
M Sung, M Jeong, Y Choi, D Kim, J Lee, J Kang
arXiv preprint arXiv:2201.02080, 2022
Graph Transformer Networks: Learning Meta-path Graphs to Improve GNNs
S Yun, M Jeong, S Yoo, S Lee, SS Yi, R Kim, J Kang, HJ Kim
arXiv preprint arXiv:2106.06218, 2021
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
CEUR Workshop Proceedings 2936, 351-359, 2021
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