DISCERN: Disentangled Multilingual Mental Health Risk Detection With Calibrated, High-Recall Predictions
Identifying mental health risk on social media is high-stakes, demanding low false negative rates (FNRs) and calibrated, trustworthy predictions. Prior work typically fuses linguistic and semantic signals without psycholinguistic grounding or disentanglement, lacks integrated calibration, prioritizes standard metrics o...