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) Machine Learning (1501) 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/22508, first published .
Identification of Semantically Similar Sentences in Clinical Notes: Iterative Intermediate Training Using Multi-Task Learning

Identification of Semantically Similar Sentences in Clinical Notes: Iterative Intermediate Training Using Multi-Task Learning

Identification of Semantically Similar Sentences in Clinical Notes: Iterative Intermediate Training Using Multi-Task Learning

Authors of this article:

Diwakar Mahajan1 Author Orcid Image ;   Ananya Poddar1 Author Orcid Image ;   Jennifer J Liang1 Author Orcid Image ;   Yen-Ting Lin2 Author Orcid Image ;   John M Prager3 Author Orcid Image ;   Parthasarathy Suryanarayanan1 Author Orcid Image ;   Preethi Raghavan1 Author Orcid Image ;   Ching-Huei Tsou1 Author Orcid Image
Article Authors Cited by (15) Tweetations (6) Metrics

Journals

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  12. Doneva S, Qin S, Sick B, Ellendorff T, Goldman J, Schneider G, Ineichen B. Large language models to process, analyze, and synthesize biomedical texts: a scoping review. Discover Artificial Intelligence 2024;4(1) View

Books/Policy Documents

  1. Paaß G, Giesselbach S. Foundation Models for Natural Language Processing. View