K-SENSE integrates COMET-derived commonsense knowledge with parallel semantic encoding and contrastive training to reach F1 scores of 86.1 on stress detection and 94.3 on depression detection, beating prior baselines by 2.6 and 1.5 points.
A mental state knowledge- aware and contrastive network for early stress and depression detection on social media
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K-SENSE: A Knowledge-Guided Self-Augmented Encoder for Neuro-Semantic Evaluation of Mental Health Conditions on Social Media
K-SENSE integrates COMET-derived commonsense knowledge with parallel semantic encoding and contrastive training to reach F1 scores of 86.1 on stress detection and 94.3 on depression detection, beating prior baselines by 2.6 and 1.5 points.