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        <title>A Cross-modal Review of Indicators for Depression Detection Systems</title>
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    <abstract>Automatic detection of depression has attracted increasing attention from researchers in psychology, computer science, linguistics, and related disciplines. As a result, promising depression detection systems have been reported. This paper surveys these efforts by presenting the first cross-modal review of depression detection systems and discusses best practices and most promising approaches to this task.</abstract>
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%0 Conference Proceedings
%T A Cross-modal Review of Indicators for Depression Detection Systems
%A Morales, Michelle
%A Scherer, Stefan
%A Levitan, Rivka
%Y Hollingshead, Kristy
%Y Ireland, Molly E.
%Y Loveys, Kate
%S Proceedings of the Fourth Workshop on Computational Linguistics and Clinical Psychology — From Linguistic Signal to Clinical Reality
%D 2017
%8 August
%I Association for Computational Linguistics
%C Vancouver, BC
%F morales-etal-2017-cross
%X Automatic detection of depression has attracted increasing attention from researchers in psychology, computer science, linguistics, and related disciplines. As a result, promising depression detection systems have been reported. This paper surveys these efforts by presenting the first cross-modal review of depression detection systems and discusses best practices and most promising approaches to this task.
%R 10.18653/v1/W17-3101
%U https://aclanthology.org/W17-3101/
%U https://doi.org/10.18653/v1/W17-3101
%P 1-12

Markdown (Informal)

[A Cross-modal Review of Indicators for Depression Detection Systems](https://aclanthology.org/W17-3101/) (Morales et al., CLPsych 2017)

• A Cross-modal Review of Indicators for Depression Detection Systems (Morales et al., CLPsych 2017)

ACL

• Michelle Morales, Stefan Scherer, and Rivka Levitan. 2017. A Cross-modal Review of Indicators for Depression Detection Systems. In Proceedings of the Fourth Workshop on Computational Linguistics and Clinical Psychology — From Linguistic Signal to Clinical Reality, pages 1–12, Vancouver, BC. Association for Computational Linguistics.