New Graph Neural Network Detects Cognitive Distortions Using Triad Model

Researchers have developed a novel graph neural network model called MTI-GNN to improve the detection of cognitive distortions in text. This model specifically incorporates Beck's cognitive triad—negative views of the self, world, and future—as distinct but interacting perspectives. By decomposing utterances into these three perspectives and modeling their interdependencies, MTI-GNN significantly outperforms existing supervised and few-shot generative models across multiple languages and datasets. AI

IMPACT This research could lead to more accurate AI-powered tools for mental health analysis and support.

RANK_REASON The cluster describes a new academic paper detailing a novel model and its evaluation. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

• arXiv
• Beck's cognitive triad
• MTI-GNN
• Multi-Perspective GNN

• paper
• model release

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