@inproceedings{tsakalidis-etal-2022-overview,
title = "Overview of the {CLP}sych 2022 Shared Task: Capturing Moments of Change in Longitudinal User Posts",
author = "Tsakalidis, Adam and
Chim, Jenny and
Bilal, Iman Munire and
Zirikly, Ayah and
Atzil-Slonim, Dana and
Nanni, Federico and
Resnik, Philip and
Gaur, Manas and
Roy, Kaushik and
Inkster, Becky and
Leintz, Jeff and
Liakata, Maria",
editor = "Zirikly, Ayah and
Atzil-Slonim, Dana and
Liakata, Maria and
Bedrick, Steven and
Desmet, Bart and
Ireland, Molly and
Lee, Andrew and
MacAvaney, Sean and
Purver, Matthew and
Resnik, Rebecca and
Yates, Andrew",
booktitle = "Proceedings of the Eighth Workshop on Computational Linguistics and Clinical Psychology",
month = jul,
year = "2022",
address = "Seattle, USA",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.clpsych-1.16",
doi = "10.18653/v1/2022.clpsych-1.16",
pages = "184--198",
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).",
}
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<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).</abstract>
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%0 Conference Proceedings
%T Overview of the CLPsych 2022 Shared Task: Capturing Moments of Change in Longitudinal User Posts
%A Tsakalidis, Adam
%A Chim, Jenny
%A Bilal, Iman Munire
%A Zirikly, Ayah
%A Atzil-Slonim, Dana
%A Nanni, Federico
%A Resnik, Philip
%A Gaur, Manas
%A Roy, Kaushik
%A Inkster, Becky
%A Leintz, Jeff
%A Liakata, Maria
%Y Zirikly, Ayah
%Y Atzil-Slonim, Dana
%Y Liakata, Maria
%Y Bedrick, Steven
%Y Desmet, Bart
%Y Ireland, Molly
%Y Lee, Andrew
%Y MacAvaney, Sean
%Y Purver, Matthew
%Y Resnik, Rebecca
%Y Yates, Andrew
%S Proceedings of the Eighth Workshop on Computational Linguistics and Clinical Psychology
%D 2022
%8 July
%I Association for Computational Linguistics
%C Seattle, USA
%F tsakalidis-etal-2022-overview
%X 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).
%R 10.18653/v1/2022.clpsych-1.16
%U https://aclanthology.org/2022.clpsych-1.16
%U https://doi.org/10.18653/v1/2022.clpsych-1.16
%P 184-198
Markdown (Informal)
[Overview of the CLPsych 2022 Shared Task: Capturing Moments of Change in Longitudinal User Posts](https://aclanthology.org/2022.clpsych-1.16) (Tsakalidis et al., CLPsych 2022)
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.