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| Protected Health Information Recognition by Fine-Tuning a Pre-training Transformer Model |
| Seo Hyun Oh, Min Kang, Youngho Lee |
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Healthc Inform Res. 2022;28(1):16-24. Published online January 31, 2022 DOI: https://doi.org/10.4258/hir.2022.28.1.16 |
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Protected Health Information Recognition by Fine-Tuning a Pre-training Transformer Model Healthcare Informatics Research. 2022;28(1):16-24  Investigation of Improving The Pre-Training And Fine-Tuning of BERT Model For Biomedical Relation Extraction . 2021; Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2020; Investigation of improving the pre-training and fine-tuning of BERT model for biomedical relation extraction BMC Bioinformatics. 2022;23(1): Knowledge Distillation from Bert in Pre-Training and Fine-Tuning for Polyphone Disambiguation 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU). 2019; A multilingual offensive language detection method based on transfer learning from transformer fine-tuning model Journal of King Saud University - Computer and Information Sciences. 2021; Robust Face Tracking Using Siamese-VGG with Pre-training and Fine-tuning 2019 4th International Conference on Control and Robotics Engineering (ICCRE). 2019; Output Layer Go First: Better Fine-tuning by Bridging the Gap with Pre-training 2021 3rd International Conference on Natural Language Processing (ICNLP). 2021; Training Deep Spiking Convolutional Neural Networks With STDP-Based Unsupervised Pre-training Followed by Supervised Fine-Tuning Frontiers in Neuroscience. 2018;12: Fine-Tuning of Pre-Trained End-to-End Speech Recognition with Generative Adversarial Networks ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2021; |
