CLPsych 2019共享任务:预测Reddit帖子中的自杀风险程度

Proceedings of the Sixth Workshop on Computational Linguistics and Clinical Psychology Pub Date : 1900-01-01 DOI:10.18653/v1/W19-3003

Ayah Zirikly, P. Resnik, Özlem Uzuner, Kristy Hollingshead

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引用次数: 156

摘要

2019年计算语言学和临床心理学研讨会(CLPsych ' 19)的共同任务介绍了基于社交媒体帖子的自杀风险评估，使用来自Reddit的数据来识别无、低、中等或严重风险的用户。该任务的两种变体侧重于那些在reddit的r/SuicideWatch子版块上发帖表明自己可能处于危险中的用户;第三项任务是仅根据用户的日常(非自杀性观察)帖子来筛选用户。我们收到了来自15个不同团队的提交，结果为语言信号在帮助预测风险水平方面的价值提供了进展和见解。

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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CLPsych 2019 Shared Task: Predicting the Degree of Suicide Risk in Reddit Posts

The shared task for the 2019 Workshop on Computational Linguistics and Clinical Psychology (CLPsych’19) introduced an assessment of suicide risk based on social media postings, using data from Reddit to identify users at no, low, moderate, or severe risk. Two variations of the task focused on users whose posts to the r/SuicideWatch subreddit indicated they might be at risk; a third task looked at screening users based only on their more everyday (non-SuicideWatch) posts. We received submissions from 15 different teams, and the results provide progress and insight into the value of language signal in helping to predict risk level.

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Proceedings of the Sixth Workshop on Computational Linguistics and Clinical Psychology

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