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

Theme Issue 2020:National NLP Clinical Challenges/Open Health Natural Language Processing 2019 Challenge Selected Papers (17)

Published on in Vol 8, No 11 (2020): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19735, first published .
Measurement of Semantic Textual Similarity in Clinical Texts: Comparison of Transformer-Based Models

Measurement of Semantic Textual Similarity in Clinical Texts: Comparison of Transformer-Based Models

Measurement of Semantic Textual Similarity in Clinical Texts: Comparison of Transformer-Based Models

Authors of this article:

Xi Yang1 Author Orcid Image ;   Xing He1 Author Orcid Image ;   Hansi Zhang1 Author Orcid Image ;   Yinghan Ma1 Author Orcid Image ;   Jiang Bian1 Author Orcid Image ;   Yonghui Wu1 Author Orcid Image
Article Authors Cited by (22) Tweetations (3) Metrics

Xi Yang   1 , PhD ;   Xing He   1 , MSc ;   Hansi Zhang   1 , MSc ;   Yinghan Ma   1 , BSc ;   Jiang Bian   1 , PhD ;   Yonghui Wu   1 , PhD

1 Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, United States

Corresponding Author:

  • Yonghui Wu, PhD
  • Department of Health Outcomes and Biomedical Informatics
  • University of Florida
  • 2004 Mowry Road
  • Gainesville, FL, 32610
  • United States
  • Phone: 1 352-294-8436
  • Email: yonghui.wu@ufl.edu