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

Proceedings of the Eighth Workshop on Computational Linguistics and Clinical Psychology Pub Date : 1900-01-01 DOI:10.18653/v1/2022.clpsych-1.16

A. Tsakalidis, Jenny Chim, I. Bilal, Ayah Zirikly, Dana Atzil-Slonim, F. Nanni, P. Resnik, Manas Gaur, Kaushik Roy, B. Inkster, Jeff Leintz, M. Liakata

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引用次数: 26

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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CLPsych 2022共享任务概述:捕捉纵向用户帖子中的变化时刻

我们提供了CLPsych 2022共享任务的概述，该任务侧重于自动识别社交媒体上个人纵向帖子中的“变化时刻”及其与心理健康信息的联系。今年的任务引入了纵向建模的概念，该概念是由个人在线生成的文本随着时间的推移，以及适当的时间敏感评估指标。共享任务由两个子任务组成:(a)主要任务是根据在线分享的文本内容，捕捉个人情绪的变化(剧烈变化——“转换”和渐进变化——“升级”);随后(b)确定个人自杀风险水平的子任务——CLPsych 2019共享任务的延续——参与者被鼓励探索任务(a)中情绪变化的识别如何有助于评估任务(b)中的自杀风险。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Proceedings of the Eighth Workshop on Computational Linguistics and Clinical Psychology

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