Minbyul Jeong

According to our database, Minbyul Jeong authored at least 17 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Improving Medical Reasoning through Retrieval and Self-Reflection with Retrieval-Augmented Large Language Models.

Minbyul Jeong, Jiwoong Sohn, Mujeen Sung, Jaewoo Kang

CoRR, 2024

2022

BERN2: an advanced neural biomedical named entity recognition and normalization tool.

Mujeen Sung, Minbyul Jeong, Yonghwa Choi, Donghyeon Kim, Jinhyuk Lee, Jaewoo Kang

Bioinform., October, 2022

Graph Transformer Networks: Learning meta-path graphs to improve GNNs.

Seongjun Yun, Minbyul Jeong, Sungdong Yoo, Seunghun Lee, Sean S. Yi, Raehyun Kim, Jaewoo Kang, Hyunwoo J. Kim

Neural Networks, 2022

Pandemics are catalysts of scientific novelty: Evidence from COVID-19.

Meijun Liu, Yi Bu, Chongyan Chen, Jian Xu, Daifeng Li, Yan Leng, Richard Barry Freeman, Eric T. Meyer, Wonjin Yoon, Mujeen Sung, Minbyul Jeong, Jinhyuk Lee, Jaewoo Kang, Chao Min, Min Song, Yujia Zhai, Ying Ding

J. Assoc. Inf. Sci. Technol., 2022

Enhancing Label Consistency on Document-level Named Entity Recognition.

Minbyul Jeong, Jaewoo Kang

CoRR, 2022

Data-Centric and Model-Centric Approaches for Biomedical Question Answering.

Wonjin Yoon, Jaehyo Yoo, Sumin Seo, Mujeen Sung, Minbyul Jeong, Gangwoo Kim, Jaewoo Kang

Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2022

2021

Regularizing Models via Pointwise Mutual Information for Named Entity Recognition.

Minbyul Jeong, Jaewoo Kang

CoRR, 2021

KU-DMIS at BioASQ 9: Data-centric and model-centric approaches for biomedical question answering.

Wonjin Yoon, Jaehyo Yoo, Sumin Seo, Mujeen Sung, Minbyul Jeong, Gangwoo Kim, Jaewoo Kang

Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st - to, 2021

2020

Can pandemics transform scientific novelty? Evidence from COVID-19.

Meijun Liu, Yi Bu, Chongyan Chen, Jian Xu, Daifeng Li, Yan Leng, Richard Barry Freeman, Eric Meyer, Wonjin Yoon, Mujeen Sung, Minbyul Jeong, Jinhyuk Lee, Jaewoo Kang, Min Song, Yujia Zhai, Ying Ding

CoRR, 2020

Building a PubMed knowledge graph.

Jian Xu, Sunkyu Kim, Min Song, Minbyul Jeong, Donghyeon Kim, Jaewoo Kang, Justin F. Rousseau, Xin Li, Weijia Xu, Vetle I. Torvik, Yi Bu, Chongyan Chen, Islam Akef Ebeid, Daifeng Li, Ying Ding

CoRR, 2020

Learning by Semantic Similarity Makes Abstractive Summarization Better.

Wonjin Yoon, Yoon Sun Yeo, Minbyul Jeong, Bong-Jun Yi, Jaewoo Kang

CoRR, 2020

Answering Questions on COVID-19 in Real-Time.

Jinhyuk Lee, Sean S. Yi, Minbyul Jeong, Mujeen Sung, Wonjin Yoon, Yonghwa Choi, Miyoung Ko, Jaewoo Kang

Proceedings of the 1st Workshop on NLP for COVID-19@ EMNLP 2020, Online, December 2020, 2020

Transferability of Natural Language Inference to Biomedical Question Answering.

Minbyul Jeong, Mujeen Sung, Gangwoo Kim, Donghyeon Kim, Wonjin Yoon, Jaehyo Yoo, Jaewoo Kang

Proceedings of the Working Notes of CLEF 2020, 2020

2019

HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction.

Raehyun Kim, Chan Ho So, Minbyul Jeong, Sanghoon Lee, Jinkyu Kim, Jaewoo Kang

CoRR, 2019

A Neural Named Entity Recognition and Multi-Type Normalization Tool for Biomedical Text Mining.

Donghyeon Kim, Jinhyuk Lee, Chan Ho So, Hwisang Jeon, Minbyul Jeong, Yonghwa Choi, Wonjin Yoon, Mujeen Sung, Jaewoo Kang

IEEE Access, 2019

Pre-trained Language Model for Biomedical Question Answering.

Wonjin Yoon, Jinhyuk Lee, Donghyeon Kim, Minbyul Jeong, Jaewoo Kang

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Graph Transformer Networks.

Seongjun Yun, Minbyul Jeong, Raehyun Kim, Jaewoo Kang, Hyunwoo J. Kim

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019