A Psychologically Informed Approach to CLPsych Shared Task 2018

Almog Simchon, Michael Gilead


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
Bibkey:
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)
Copy Citation:
PDF:
https://aclanthology.org/W18-0612.pdf