Demographic-conditioned fusion embeddings improve prediction of perspectivist social meaning interpretations by 5.9-6.5% relative macro PR-AUC over text-only baselines, with ablations confirming demographic signal.
Consistency is Key: Disentangling Label Variation in Natural Language Processing with Intra-Annotator Agreement
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Learning Perspectivist Social Meaning via Demographic-Conditioned Fusion Embeddings
Demographic-conditioned fusion embeddings improve prediction of perspectivist social meaning interpretations by 5.9-6.5% relative macro PR-AUC over text-only baselines, with ablations confirming demographic signal.