EmoTrack: Clinical-Semantic Modeling for Text-Based Depression Severity Estimation
EmoTrack is proposed, which jointly encodes clinical feature scores and utterance representations to predict the total PHQ-8 score and reduces normalized aggregate error by approximately 6.1% relative to the strongest baseline.