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) Natural Language Processing (553)

Published on in Vol 9, No 1 (2021): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23086, first published .
ALBERT-Based Self-Ensemble Model With Semisupervised Learning and Data Augmentation for Clinical Semantic Textual Similarity Calculation: Algorithm Validation Study

ALBERT-Based Self-Ensemble Model With Semisupervised Learning and Data Augmentation for Clinical Semantic Textual Similarity Calculation: Algorithm Validation Study

ALBERT-Based Self-Ensemble Model With Semisupervised Learning and Data Augmentation for Clinical Semantic Textual Similarity Calculation: Algorithm Validation Study

Authors of this article:

Junyi Li 1 Author Orcid Image ;   Xuejie Zhang 1 Author Orcid Image ;   Xiaobing Zhou 1 Author Orcid Image
Article Authors Cited by (2) Tweetations (4) Metrics

Journals

  1. Bashiri F, Caskey J, Mayampurath A, Dussault N, Dumanian J, Bhavani S, Carey K, Gilbert E, Winslow C, Shah N, Edelson D, Afshar M, Churpek M. Identifying infected patients using semi-supervised and transfer learning. Journal of the American Medical Informatics Association 2022;29(10):1696 View
  2. Bazoge A, Morin E, Daille B, Gourraud P. Natural language processing on data from clinical data warehouse: A systematic review (Preprint). JMIR Medical Informatics 2022 View