@inproceedings{zirikly-etal-2019-clpsych,
title = "{CLP}sych 2019 Shared Task: Predicting the Degree of Suicide Risk in {R}eddit Posts",
author = {Zirikly, Ayah and
Resnik, Philip and
Uzuner, {\"O}zlem and
Hollingshead, Kristy},
editor = "Niederhoffer, Kate and
Hollingshead, Kristy and
Resnik, Philip and
Resnik, Rebecca and
Loveys, Kate",
booktitle = "Proceedings of the Sixth Workshop on Computational Linguistics and Clinical Psychology",
month = jun,
year = "2019",
address = "Minneapolis, Minnesota",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W19-3003",
doi = "10.18653/v1/W19-3003",
pages = "24--33",
abstract = "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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<abstract>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.</abstract>
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%0 Conference Proceedings
%T CLPsych 2019 Shared Task: Predicting the Degree of Suicide Risk in Reddit Posts
%A Zirikly, Ayah
%A Resnik, Philip
%A Uzuner, Özlem
%A Hollingshead, Kristy
%Y Niederhoffer, Kate
%Y Hollingshead, Kristy
%Y Resnik, Philip
%Y Resnik, Rebecca
%Y Loveys, Kate
%S Proceedings of the Sixth Workshop on Computational Linguistics and Clinical Psychology
%D 2019
%8 June
%I Association for Computational Linguistics
%C Minneapolis, Minnesota
%F zirikly-etal-2019-clpsych
%X 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.
%R 10.18653/v1/W19-3003
%U https://aclanthology.org/W19-3003
%U https://doi.org/10.18653/v1/W19-3003
%P 24-33
Markdown (Informal)
[CLPsych 2019 Shared Task: Predicting the Degree of Suicide Risk in Reddit Posts](https://aclanthology.org/W19-3003) (Zirikly et al., CLPsych 2019)
ACL