Performance of Multiple Pretrained BERT Models to Automate and Accelerate Data Annotation for Large Datasets

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Abstract
Pretrained domain-specific and newer transformer models achieved high performance using small training datasets and short training times, creating a robust final model that expedited autonomous ann... Purpose To develop and evaluate domain-specific and pretrained bidirectional encoder representations from transformers (BERT) models in a transfer learning task on varying training dataset sizes to...

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