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Team 9: A Comparison of Simple vs. Complex Models for Suicide Risk Assessment
We find that simple more traditional machine learning models are more suited for this task and highlight the challenges faced when trying to leverage more sophisticated deep learning models.
An Investigation of Deep Learning Systems for Suicide Risk Assessment
This work presents the systems explored as part of the CLPsych 2019 Shared Task.
A Linguistically-Informed Fusion Approach for Multimodal Depression Detection
Automated depression detection is inherently a multimodal problem.
A Cross-modal Review of Indicators for Depression Detection Systems
Automatic detection of depression has attracted increasing attention from researchers in psychology, computer science, linguistics, and related disciplines.
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