Abstract
This paper describes our approach to the CLPsych 2018 Shared Task, in which we attempted to predict cross-sectional psychological health at age 11 and future psychological distress based on childhood essays. We attempted several modeling approaches and observed best cross-validated prediction accuracy with relatively simple models based on psychological theory. The models provided reasonable predictions in most outcomes. Notably, our model was especially successful in predicting out-of-sample psychological distress (across people and across time) at age 50.- Anthology ID:
- W18-0612
- Volume:
- Proceedings of the Fifth Workshop on Computational Linguistics and Clinical Psychology: From Keyboard to Clinic
- Month:
- June
- Year:
- 2018
- Address:
- New Orleans, LA
- Editors:
- Kate Loveys, Kate Niederhoffer, Emily Prud’hommeaux, Rebecca Resnik, Philip Resnik
- Venue:
- CLPsych
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 113–118
- Language:
- URL:
- https://aclanthology.org/W18-0612
- DOI:
- 10.18653/v1/W18-0612
- Cite (ACL):
- Almog Simchon and Michael Gilead. 2018. A Psychologically Informed Approach to CLPsych Shared Task 2018. In Proceedings of the Fifth Workshop on Computational Linguistics and Clinical Psychology: From Keyboard to Clinic, pages 113–118, New Orleans, LA. Association for Computational Linguistics.
- Cite (Informal):
- A Psychologically Informed Approach to CLPsych Shared Task 2018 (Simchon & Gilead, CLPsych 2018)
- PDF:
- https://preview.aclanthology.org/teach-a-man-to-fish/W18-0612.pdf