@inproceedings{e625ec6ee8a54b1b87982ed18abcd6f0,
title = "A psychologically informed approach to CLPsych shared task 2018",
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.",
author = "Almog Simchon and Michael Gilead",
note = "Publisher Copyright: {\textcopyright} 2018 Association for Computational Linguistics; 5th Workshop on Computational Linguistics and Clinical Psychology: From Keyboard to Clinic, CLPsych 2018 at the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HTL 2018 ; Conference date: 05-06-2018",
year = "2018",
month = jan,
day = "1",
language = "English",
series = "Proceedings of the 5th Workshop on Computational Linguistics and Clinical Psychology: From Keyboard to Clinic, CLPsych 2018 at the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HTL 2018",
publisher = "Association for Computational Linguistics (ACL)",
pages = "113--118",
editor = "Kate Loveys and Kate Niederhoffer and Emily Prud�hommeaux and Rebecca Resnik and Philip Resnik",
booktitle = "Proceedings of the 5th Workshop on Computational Linguistics and Clinical Psychology",
address = "United States",
}