papersSEP 10 04:00 UTC
Multi-Level Narrative Evaluation Outperforms Lexical Features for Mental Health
A new arXiv paper in computational linguistics examines how people's written narratives can be analyzed to support mental health assessment. The authors argue that existing approaches, from dictionary-based counting to neural methods, remain fragmented and overlook discourse-level structure. Their proposed multi-level narrative evaluation reportedly outperforms purely lexical features on related tasks.