Overview of the CLPsych 2022 Shared Task: Capturing Moments of Change in Longitudinal User Posts

Adam Tsakalidis, Jenny Chim, Iman Munire Bilal, Ayah Zirikly, Dana Atzil-Slonim, Federico Nanni, Philip Resnik, Manas Gaur, Kaushik Roy, Becky Inkster, Jeff Leintz, Maria Liakata


Abstract
We provide an overview of the CLPsych 2022 Shared Task, which focusses on the automatic identification of ‘Moments of Change’ in lon- gitudinal posts by individuals on social media and its connection with information regarding mental health . This year’s task introduced the notion of longitudinal modelling of the text generated by an individual online over time, along with appropriate temporally sen- sitive evaluation metrics. The Shared Task con- sisted of two subtasks: (a) the main task of cap- turing changes in an individual’s mood (dras- tic changes-‘Switches’- and gradual changes -‘Escalations’- on the basis of textual content shared online; and subsequently (b) the sub- task of identifying the suicide risk level of an individual – a continuation of the CLPsych 2019 Shared Task– where participants were encouraged to explore how the identification of changes in mood in task (a) can help with assessing suicidality risk in task (b).
Anthology ID:
2022.clpsych-1.16
Volume:
Proceedings of the Eighth Workshop on Computational Linguistics and Clinical Psychology
Month:
July
Year:
2022
Address:
Seattle, USA
Editors:
Ayah Zirikly, Dana Atzil-Slonim, Maria Liakata, Steven Bedrick, Bart Desmet, Molly Ireland, Andrew Lee, Sean MacAvaney, Matthew Purver, Rebecca Resnik, Andrew Yates
Venue:
CLPsych
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
184–198
Language:
URL:
https://aclanthology.org/2022.clpsych-1.16
DOI:
10.18653/v1/2022.clpsych-1.16
Bibkey:
Cite (ACL):
Adam Tsakalidis, Jenny Chim, Iman Munire Bilal, Ayah Zirikly, Dana Atzil-Slonim, Federico Nanni, Philip Resnik, Manas Gaur, Kaushik Roy, Becky Inkster, Jeff Leintz, and Maria Liakata. 2022. Overview of the CLPsych 2022 Shared Task: Capturing Moments of Change in Longitudinal User Posts. In Proceedings of the Eighth Workshop on Computational Linguistics and Clinical Psychology, pages 184–198, Seattle, USA. Association for Computational Linguistics.
Cite (Informal):
Overview of the CLPsych 2022 Shared Task: Capturing Moments of Change in Longitudinal User Posts (Tsakalidis et al., CLPsych 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.clpsych-1.16.pdf