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Improving Pre-trained Language Model Sensitivity via Mask Specific losses: A case study on Biomedical NER
To address insensitive fine-tuning, we propose Mask Specific Language Modeling (MSLM), an approach that efficiently acquires target domain knowledge by appropriately weighting the importance of domain-specific terms (DS-terms) during fine-tuning.
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