This paper is in the following e-collection/theme issue:

Theme issue 2019: Health Natural Language Processing (17) Machine Learning (1401) Natural Language Processing (650)

Published on in Vol 8, No 5 (2020): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17644, first published .
Document-Level Biomedical Relation Extraction Leveraging Pretrained Self-Attention Structure and Entity Replacement: Algorithm and Pretreatment Method Validation Study

Document-Level Biomedical Relation Extraction Leveraging Pretrained Self-Attention Structure and Entity Replacement: Algorithm and Pretreatment Method Validation Study

Document-Level Biomedical Relation Extraction Leveraging Pretrained Self-Attention Structure and Entity Replacement: Algorithm and Pretreatment Method Validation Study

Authors of this article:

Xiaofeng Liu1 Author Orcid Image ;   Jianye Fan1 Author Orcid Image ;   Shoubin Dong1 Author Orcid Image
Article Authors Cited by (4) Tweetations (1) Metrics

Xiaofeng Liu   1 , PhD ;   Jianye Fan   1 , MD ;   Shoubin Dong   1 , PhD

1 Communication and Computer Network Key Laboratory of Guangdong, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China

Corresponding Author:

  • Shoubin Dong, PhD
  • Communication and Computer Network Key Laboratory of Guangdong
  • School of Computer Science and Engineering
  • South China University of Technology
  • No. 381, Wushan Road
  • Tianhe District, Guangdong
  • Guangzhou, 510610
  • China
  • Phone: 86 15625125397
  • Email: sbdong@scut.edu.cn