An Investigation of Deep Learning Systems for Suicide Risk Assessment
Michelle Morales, Prajjalita Dey, Thomas Theisen, Danny Belitz, Natalia Chernova
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.- Anthology ID:
- W19-3023
- Volume:
- Proceedings of the Sixth Workshop on Computational Linguistics and Clinical Psychology
- Month:
- June
- Year:
- 2019
- Address:
- Minneapolis, Minnesota
- Editors:
- Kate Niederhoffer, Kristy Hollingshead, Philip Resnik, Rebecca Resnik, Kate Loveys
- Venue:
- CLPsych
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 177–181
- Language:
- URL:
- https://aclanthology.org/W19-3023
- DOI:
- 10.18653/v1/W19-3023
- Cite (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.
- Cite (Informal):
- An Investigation of Deep Learning Systems for Suicide Risk Assessment (Morales et al., CLPsych 2019)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/W19-3023.pdf