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

Journals

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  7. Yu Z, Yang X, Sweeting G, Ma Y, Stolte S, Fang R, Wu Y. Identify diabetic retinopathy-related clinical concepts and their attributes using transformer-based natural language processing methods. BMC Medical Informatics and Decision Making 2022;22(S3) View
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  9. Feng T, Qu L, Haffari G. Less is More: Mitigate Spurious Correlations for Open-Domain Dialogue Response Generation Models by Causal Discovery. Transactions of the Association for Computational Linguistics 2023;11:511 View
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Books/Policy Documents

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