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    <abstract>This work presents the systems explored as part of the CLPsych 2019 Shared Task. More specifically, this work explores the promise of deep learning systems for suicide risk assessment.</abstract>
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%0 Conference Proceedings
%T An Investigation of Deep Learning Systems for Suicide Risk Assessment
%A Morales, Michelle
%A Dey, Prajjalita
%A Theisen, Thomas
%A Belitz, Danny
%A Chernova, Natalia
%Y Niederhoffer, Kate
%Y Hollingshead, Kristy
%Y Resnik, Philip
%Y Resnik, Rebecca
%Y Loveys, Kate
%S Proceedings of the Sixth Workshop on Computational Linguistics and Clinical Psychology
%D 2019
%8 June
%I Association for Computational Linguistics
%C Minneapolis, Minnesota
%F morales-etal-2019-investigation
%X This work presents the systems explored as part of the CLPsych 2019 Shared Task. More specifically, this work explores the promise of deep learning systems for suicide risk assessment.
%R 10.18653/v1/W19-3023
%U https://aclanthology.org/W19-3023
%U https://doi.org/10.18653/v1/W19-3023
%P 177-181

Markdown (Informal)

[An Investigation of Deep Learning Systems for Suicide Risk Assessment](https://aclanthology.org/W19-3023) (Morales et al., CLPsych 2019)

• An Investigation of Deep Learning Systems for Suicide Risk Assessment (Morales et al., CLPsych 2019)

ACL

• Michelle Morales, Prajjalita Dey, Thomas Theisen, Danny Belitz, and Natalia Chernova. 2019. An Investigation of Deep Learning Systems for Suicide Risk Assessment. In Proceedings of the Sixth Workshop on Computational Linguistics and Clinical Psychology, pages 177–181, Minneapolis, Minnesota. Association for Computational Linguistics.