We propose a method to build medical models from small medical corpora. Our approach is also useful for the enhancement of biomedical models.
May 5, 2024 · Methods: Our proposed method was based on the simultaneous pretraining of models with knowledge from distinct domains after oversampling. We ...
This work proposes an adversarial evaluation scheme in a BioNER dataset, which consists of two types of attacks inspired by natural spelling errors and ...
Aug 4, 2024 · Oversampling effect in pretraining for bidirectional encoder representations from transformers (BERT) to localize medical BERT and enhance ...
May 5, 2024 · Our Japanese medical BERT outperformed the other BERT models built using a conventional method for almost all the medical tasks. The model ...
Lastly, our enhanced biomedical BERT model, in which clinical notes were not used during pre-training, achieved both clinical and biomedical scores on the BLUE ...
May 14, 2020 · Our proposed method consists of a single intervention with one option: simultaneous pre-training after up-sampling and amplified vocabulary.
Missing: Oversampling effect
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Oversampling effect in pretraining for bidirectional encoder representations from transformers (BERT) to localize medical BERT and enhance biomedical BERT.
Oversampling effect in pretraining for bidirectional encoder representations from transformers (BERT) to localize medical BERT and enhance biomedical BERT.
Oversampling effect in pretraining for bidirectional encoder representations from transformers (BERT) to localize medical BERT and enhance biomedical BERT.