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) Electronic Health Records (1068) Natural Language Processing (706)

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

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23375, first published .
The 2019 n2c2/OHNLP Track on Clinical Semantic Textual Similarity: Overview

The 2019 n2c2/OHNLP Track on Clinical Semantic Textual Similarity: Overview

The 2019 n2c2/OHNLP Track on Clinical Semantic Textual Similarity: Overview

Authors of this article:

Yanshan Wang1 Author Orcid Image ;   Sunyang Fu1 Author Orcid Image ;   Feichen Shen1 Author Orcid Image ;   Sam Henry2 Author Orcid Image ;   Ozlem Uzuner2 Author Orcid Image ;   Hongfang Liu1 Author Orcid Image
Article Authors Cited by (29) Tweetations (5) Metrics

Yanshan Wang   1 , PhD ;   Sunyang Fu   1 , MHI ;   Feichen Shen   1 , PhD ;   Sam Henry   2 , PhD ;   Ozlem Uzuner   2 , PhD ;   Hongfang Liu   1 , PhD

1 Department of Health Sciences Research, Mayo Clinic, Rochester, MN, United States

2 Information Sciences and Technology, George Mason University, Fairfax, VA, United States

Corresponding Author:

  • Yanshan Wang, PhD
  • Department of Health Sciences Research
  • Mayo Clinic
  • 200 1st Street SW
  • Rochester, MN, 55905
  • United States
  • Phone: 1 507293138
  • Email: wang.yanshan@mayo.edu