Improving Pre-trained Language Model Sensitivity via Mask Specific losses: A case study on Biomedical NER
Paper • 2403.18025 • Published
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Domain Sensitive Fine-tuning
Model is built by training BERT on a biomedical dataset BC2GM using an approach that learns mask specific losses. More details in paper below,
Citation
@article{abaho2024improving,
title={Improving Pre-trained Language Model Sensitivity via Mask Specific losses: A case study on Biomedical NER},
author={Abaho, Micheal and Bollegala, Danushka and Leeming, Gary and Joyce, Dan and Buchan, Iain E},
journal={arXiv preprint arXiv:2403.18025},
year={2024}
}
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