@InProceedings{morales-scherer-levitan:2018:W18-06,
  author    = {Morales, Michelle  and  Scherer, Stefan  and  Levitan, Rivka},
  title     = {A Linguistically-Informed Fusion Approach for Multimodal Depression Detection},
  booktitle = {Proceedings of the Fifth Workshop on Computational Linguistics and Clinical Psychology: From Keyboard to Clinic},
  month     = {June},
  year      = {2018},
  address   = {New Orleans, LA},
  publisher = {Association for Computational Linguistics},
  pages     = {13--24},
  abstract  = {Automated depression detection is inherently a multimodal problem. Therefore, it is critical that researchers investigate fusion techniques for multimodal design. This paper presents the first-ever comprehensive study of fusion techniques for depression detection. In addition, we present novel linguistically-motivated fusion techniques, which we find outperform existing approaches.},
  url       = {http://www.aclweb.org/anthology/W18-0602}
}