@inproceedings{morales-etal-2017-cross,
    title = "A Cross-modal Review of Indicators for Depression Detection Systems",
    author = "Morales, Michelle  and
      Scherer, Stefan  and
      Levitan, Rivka",
    editor = "Hollingshead, Kristy  and
      Ireland, Molly E.  and
      Loveys, Kate",
    booktitle = "Proceedings of the Fourth Workshop on Computational Linguistics and Clinical Psychology {---} From Linguistic Signal to Clinical Reality",
    month = aug,
    year = "2017",
    address = "Vancouver, BC",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/iwcs-25-ingestion/W17-3101/",
    doi = "10.18653/v1/W17-3101",
    pages = "1--12",
    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."
}