ClinicalNLP

Papers, Datasets, Codes about Clinical NLP

Paper

1. Writing by Memorizing: Hierarchical Retrieval-based Medical Report Generation. Xingyi Yang, Muchao Ye, Quanzeng You and Fenglong Ma. ACL 2021. [PDF]
2. SMedBERT: A Knowledge-Enhanced Pre-trained Language Model with Structured Semantics for Medical Text Mining. Taolin Zhang, Zerui Cai, Chengyu Wang, Minghui Qiu, Bite Yang and XIAOFENG HE. ACL 2021. [PDF]
3. TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-rays. Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Ronald M. Summers. IEEE CVPR 2018. [PDF]
4. Automated Generation of Accurate & Fluent Medical X-ray Reports. Hoang T.N. Nguyen, Dong Nie, Taivanbat Badamdorj, Yujie Liu, Yingying Zhu, Jason Truong, Li Cheng. EMNLP 2021. [PDF]
5. Learning to Generate Clinically Coherent Chest X-Ray Reports. Justin Lovelace, Bobak Mortazavi. ACL 2020. [PDF]
6. Effective Convolutional Attention Network for Multi-label Clinical Document Classification. Yang Liu, Hua Cheng, Russell Klopfer, Matthew R. Gormley and Thomas Schaaf. EMNLP 2021. [PDF]
7. Classification of hierarchical text using geometric deep learning: the case of clinical trials corpus. Sohrab Ferdowsi, Nikolay Borissov, Julien Knafou, Poorya Amini and Douglas Teodoro. EMNLP 2021. [PDF]
8. Incorporating medical knowledge in BERT for clinical relation extraction. Arpita Roy and Shimei Pan. EMNLP 2021. [PDF]
9. Auto-Encoding Knowledge Graph for Unsupervised Medical Report Generation. Fenglin Liu, Chenyu You, Xian Wu, Shen Ge, Sheng Wang, Xu Sun. 2021.[PDF]
10. Reinforced Medical Report Generation with X-Linear Attention and Repetition Penalty. Wenting Xu, Chang Qi, Zhenghua Xu, Thomas Lukasiewicz. CS.CL 2020. [PDF]

Contest

1. Tips and Tactics for Medical Deep Learning Challenges [link]
2. National NLP Clinical Challenges (n2c2) [link]

Dataset

• OpenI
• MIMIC
• N2C2-NLP