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Weakly supervised BERT-based classification

Weakly supervised BERT-based classification adapts BERT to text classification tasks when only noisy, heuristic, or programmatically generated labels are available instead of clean human annotations. It combines weak supervision frameworks — such as labeling functions and data programming — with BERT's pre-trained language representations to achieve robust classification without expensive hand-labeling.

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Weakly Supervised BERT-based Text Classification

Taksonomisk metoderegister · ml-model / deep-learning

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