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GCUL: Ambiguity Identification in Text Emotion Classification via Cluster-Guided Learning
Selective classification enables a model to abstain from predictions on uncertain instances, but existing approaches typically reject them through confidence scores, predefined coverage constraints or instance-level distance measures. These approaches may overlook the collective geometric structure
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