Start with mean pooling and 128‑dimensional WALS, then iteratively add attention or fine‑tuning. You’ll likely beat most deep learning baselines with less tuning.
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: Fine-tuning RoBERTa-based token classifiers (sometimes referred to as TOP-CLASS ) to handle specialized linguistic tasks. Some of its notable features include: A woman
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