Fine-tuning BERT-family models on a Web of Science dataset expanded with model-generated pseudo-labels and hard voting yields higher self-reported F1 scores, but the evaluation lacks independent ground truth.
Improving imbalanced scientific text classification using sampling strategies and dictionaries,
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Advancing Scientific Text Classification: Fine-Tuned Models with Dataset Expansion and Hard-Voting
Fine-tuning BERT-family models on a Web of Science dataset expanded with model-generated pseudo-labels and hard voting yields higher self-reported F1 scores, but the evaluation lacks independent ground truth.