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 (23) Tweetations (3) Metrics

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  1. Wu Z, Liang J, Zhang Z, Lei J. Exploration of text matching methods in Chinese disease Q&A systems: A method using ensemble based on BERT and boosted tree models. Journal of Biomedical Informatics 2021;115:103683 View
  2. Al Sulaiman M, Moussa A, Abdou S, Elgibreen H, Faisal M, Rashwan M, Alzubi O. Semantic textual similarity for modern standard and dialectal Arabic using transfer learning. PLOS ONE 2022;17(8):e0272991 View
  3. Kalyan K, Rajasekharan A, Sangeetha S. AMMU: A survey of transformer-based biomedical pretrained language models. Journal of Biomedical Informatics 2022;126:103982 View
  4. Asubiaro T, Ajiferuke I. Semantic similarity-based credit attribution on citation paths: a method for allocating residual citation to and investigating depth of influence of scientific communications. Scientometrics 2022;127(11):6257 View
  5. Li M, Chen T, Ryu K, Jin C, Lu L. An Efficient Parallelized Ontology Network-Based Semantic Similarity Measure for Big Biomedical Document Clustering. Computational and Mathematical Methods in Medicine 2021;2021:1 View
  6. Park W, Siddiqui I, Chakraborty C, Qureshi N, Shin D. Scarcity-aware spam detection technique for big data ecosystem. Pattern Recognition Letters 2022;157:67 View
  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
  8. Moradi M, Blagec K, Samwald M. Improving the Robustness and Accuracy of Intelligent Clinical Text Processing: Producing Noise for Data Augmentation. SSRN Electronic Journal 2022 View
  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
  10. Saraswat N, Li C, Jiang M. Identifying the Question Similarity of Regulatory Documents in the Pharmaceutical Industry by Using the Recognizing Question Entailment System: Evaluation Study. JMIR AI 2023;2:e43483 View
  11. Wang B, Xie Q, Pei J, Chen Z, Tiwari P, Li Z, Fu J. Pre-trained Language Models in Biomedical Domain: A Systematic Survey. ACM Computing Surveys 2024;56(3):1 View
  12. Lyu D, Wang X, Chen Y, Wang F. Language model and its interpretability in biomedicine: A scoping review. iScience 2024;27(4):109334 View
  13. Aygün İ, Kaya B, Kaya M. Identifying patients in need of psychological treatment with language representation models. Multimedia Tools and Applications 2024 View
  14. Nerella S, Bandyopadhyay S, Zhang J, Contreras M, Siegel S, Bumin A, Silva B, Sena J, Shickel B, Bihorac A, Khezeli K, Rashidi P. Transformers and large language models in healthcare: A review. Artificial Intelligence in Medicine 2024;154:102900 View
  15. Sharmila P, Anbananthen K, Gunasekaran N, Balasubramaniam B, Chelliah D. FTLM: A Fuzzy TOPSIS Language Modeling Approach for Plagiarism Severity Assessment. IEEE Access 2024;12:122597 View

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