Corpus-Adaptive Symptom Prototype Learning for Social-Media Depression Detection
Psychiatric-scale-guided screening has shown promise for social-media depression detection, but existing methods largely treat clinical symptom templates as fixed inputs and focus on improving screening or classification architectures. We instead investigate whether the symptom representation itself can be adapted to s...