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        <title>A Linguistically-Informed Fusion Approach for Multimodal Depression Detection</title>
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        <namePart type="given">Michelle</namePart>
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    <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.</abstract>
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%0 Conference Proceedings
%T A Linguistically-Informed Fusion Approach for Multimodal Depression Detection
%A Morales, Michelle
%A Scherer, Stefan
%A Levitan, Rivka
%Y Loveys, Kate
%Y Niederhoffer, Kate
%Y Prud’hommeaux, Emily
%Y Resnik, Rebecca
%Y Resnik, Philip
%S Proceedings of the Fifth Workshop on Computational Linguistics and Clinical Psychology: From Keyboard to Clinic
%D 2018
%8 June
%I Association for Computational Linguistics
%C New Orleans, LA
%F morales-etal-2018-linguistically
%X 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.
%R 10.18653/v1/W18-0602
%U https://aclanthology.org/W18-0602
%U https://doi.org/10.18653/v1/W18-0602
%P 13-24

Markdown (Informal)

[A Linguistically-Informed Fusion Approach for Multimodal Depression Detection](https://aclanthology.org/W18-0602) (Morales et al., CLPsych 2018)

• A Linguistically-Informed Fusion Approach for Multimodal Depression Detection (Morales et al., CLPsych 2018)

ACL

• Michelle Morales, Stefan Scherer, and Rivka Levitan. 2018. A Linguistically-Informed Fusion Approach for Multimodal Depression Detection. In Proceedings of the Fifth Workshop on Computational Linguistics and Clinical Psychology: From Keyboard to Clinic, pages 13–24, New Orleans, LA. Association for Computational Linguistics.