A Prioritization Model for Suicidality Risk Assessment

Published in Association for Computational Linguistics (ACL), 2020

Abstract

We reframe suicide risk assessment from social media as a ranking problem whose goal is maximizing detection of severely at-risk individuals given the time available. Building on measures developed for resource-bounded document retrieval, we introduce a well founded evaluation paradigm, and demonstrate using an expert-annotated test collection that meaningful improvements over plausible cascade model baselines can be achieved using an approach that jointly ranks individuals and their social media posts.

Recommended citation:

@inproceedings{shing-etal-2020-prioritization,
title = "A Prioritization Model for Suicidality Risk Assessment",
author = "Shing, Han-Chin  and
Resnik, Philip  and
Oard, Douglas",
booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
month = jul,
year = "2020",