Papers with Mental health disorders

1 papers
What to Fuse and How to Fuse: Exploring Emotion and Personality Fusion Strategies for Explainable Mental Disorder Detection (2023.findings-acl)

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Challenge: Mental health disorders (MHD) are one of the greatest challenges facing our healthcare systems and modern societies in general.
Approach: They integrate and extend the research by conducting extensive experiments with three types of deep learning-based fusion strategies: feature-level fusion, model fusion and task fusion.
Outcome: The proposed techniques show that they can be used to improve mental health detection from textual data.

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