HierBias introduces a context-conditioned hierarchical architecture with theoretical bounds showing context reduces Bayes error and multi-task learning for bias detection and type classification, reporting improved F1 and MCC on BABE and BASIL datasets.
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HierBias: Context-Conditioned Hierarchical Media Bias Detection with Multi-Task Type Classification
HierBias introduces a context-conditioned hierarchical architecture with theoretical bounds showing context reduces Bayes error and multi-task learning for bias detection and type classification, reporting improved F1 and MCC on BABE and BASIL datasets.