A mental state Knowledge–aware and Contrastive Network for early stress and depression detection on social media
作者:
Highlights:
• Mental state commonsense knowledge from COMET to model the mental states of speakers.
• Knowledge-aware mentalisation to enhance the ability of understanding mental states.
• Supervised contrastive learning to capture class-specific semantic features.
• SOTA on a depression detection, stress detection, stress factors recognition dataset.
摘要
•Mental state commonsense knowledge from COMET to model the mental states of speakers.•Knowledge-aware mentalisation to enhance the ability of understanding mental states.•Supervised contrastive learning to capture class-specific semantic features.•SOTA on a depression detection, stress detection, stress factors recognition dataset.
论文关键词:Mental health,Natural language processing,Mental state knowledge,Mentalisation,Contrastive learning
论文评审过程:Received 5 March 2022, Revised 19 April 2022, Accepted 24 April 2022, Available online 6 May 2022, Version of Record 6 May 2022.
论文官网地址:https://doi.org/10.1016/j.ipm.2022.102961