TY - GEN
T1 - An approach to the CLPsych 2018 shared task using top-down text representation and simple bottom-up model selection
AU - Iserman, Micah
AU - Ireland, Molly E.
AU - Littlefield, Andrew K.
AU - Davis, Tyler
AU - Maliepaard, Sage
N1 - Publisher Copyright:
© 2018 Association for Computational Linguistics
PY - 2018
Y1 - 2018
N2 - The Computational Linguistics and Clinical Psychology (CLPsych) 2018 Shared Task asked teams to predict cross-sectional indices of anxiety and distress, and longitudinal indices of psychological distress from a subsample of the National Child Development Study (Brown and Goodman, 2014), started in the United Kingdom in 1958. Teams aimed to predict mental health outcomes from essays written by 11-year-olds about what they believed their lives would be like at age 25. In the hopes of producing results that could be easily disseminated and applied, we used largely theory-based dictionaries to process the texts, and a simple data-driven approach to model selection. This approach yielded only modest results in terms of out-of-sample accuracy, but most of the category-level findings are interpretable and consistent with existing literature on psychological distress, anxiety, and depression.
AB - The Computational Linguistics and Clinical Psychology (CLPsych) 2018 Shared Task asked teams to predict cross-sectional indices of anxiety and distress, and longitudinal indices of psychological distress from a subsample of the National Child Development Study (Brown and Goodman, 2014), started in the United Kingdom in 1958. Teams aimed to predict mental health outcomes from essays written by 11-year-olds about what they believed their lives would be like at age 25. In the hopes of producing results that could be easily disseminated and applied, we used largely theory-based dictionaries to process the texts, and a simple data-driven approach to model selection. This approach yielded only modest results in terms of out-of-sample accuracy, but most of the category-level findings are interpretable and consistent with existing literature on psychological distress, anxiety, and depression.
UR - http://www.scopus.com/inward/record.url?scp=85119975381&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85119975381
T3 - 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
SP - 47
EP - 56
BT - Proceedings of the 5th Workshop on Computational Linguistics and Clinical Psychology
A2 - Loveys, Kate
A2 - Niederhoffer, Kate
A2 - Prud�hommeaux, Emily
A2 - Resnik, Rebecca
A2 - Resnik, Philip
PB - Association for Computational Linguistics (ACL)
T2 - 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
Y2 - 5 June 2018
ER -