Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26407, first published .
Chinese-Named Entity Recognition From Adverse Drug Event Records: Radical Embedding-Combined Dynamic Embedding–Based BERT in a Bidirectional Long Short-term Conditional Random Field (Bi-LSTM-CRF) Model

Chinese-Named Entity Recognition From Adverse Drug Event Records: Radical Embedding-Combined Dynamic Embedding–Based BERT in a Bidirectional Long Short-term Conditional Random Field (Bi-LSTM-CRF) Model

Chinese-Named Entity Recognition From Adverse Drug Event Records: Radical Embedding-Combined Dynamic Embedding–Based BERT in a Bidirectional Long Short-term Conditional Random Field (Bi-LSTM-CRF) Model

Hong Wu 1 , MS ;   Jiatong Ji 2 , MS ;   Haimei Tian 3 , MS ;   Yao Chen 1 , MS ;   Weihong Ge 4 , MS ;   Haixia Zhang 4 , PhD ;   Feng Yu 2 , PhD ;   Jianjun Zou 5 , PhD ;   Mitsuhiro Nakamura 6 , PhD ;   Jun Liao 1 , PhD

1 School of Science , China Pharmaceutical University , Nanjing , CN

2 School of Basic Medicine and Clinical Pharmacy , China Pharmaceutical University , Nanjing , CN

3 School of Computer Engineering , Jinling Institute of Technology , Nanjing , CN

4 Department of Pharmacy , Nanjing Drum Tower Hospital , Nanjing , CN

5 Department of Clinical Pharmacology , Nanjing First Hospital , Nanjing Medical University , Nanjing , CN

6 Laboratory of Drug Informatics , Gifu Pharmaceutical University , Gifu , JP

Corresponding Author:

  • Jun Liao, PhD
  • School of Science
  • China Pharmaceutical University
  • #639 Longmian Avenue
  • Jiangning District
  • Nanjing
  • CN
  • Phone: 86 13952040425
  • Email: liaojun@cpu.edu.cn