Overview of eRisk 2024: Early Risk Prediction on the Internet
This paper presents eRisk 2024, the eighth edition of the
CLEF conference’s lab, focusing on early risk detection. Since its beginning,
the lab has been dedicated to exploring evaluation methodologies,
effectiveness metrics, and related processes in early risk detection.
The utility of early alerting models encompasses various sectors, notably
health and safety. eRisk 2024 featured three main tasks. The first task
required participants to rank sentences according to their relevance to
standardised symptoms of depression. The second task aimed at the early
detection of anorexia indicators. The third task involved automatically
estimating an eating disorders questionnaire by analysing users’ social
media posts.
keywords: Early risk, Depression, Anorexia, Eating disorders
Publication: Congress
1727438584061
September 27, 2024
/research/publications/overview-of-erisk-2024-early-risk-prediction-on-the-internet
This paper presents eRisk 2024, the eighth edition of the
CLEF conference’s lab, focusing on early risk detection. Since its beginning,
the lab has been dedicated to exploring evaluation methodologies,
effectiveness metrics, and related processes in early risk detection.
The utility of early alerting models encompasses various sectors, notably
health and safety. eRisk 2024 featured three main tasks. The first task
required participants to rank sentences according to their relevance to
standardised symptoms of depression. The second task aimed at the early
detection of anorexia indicators. The third task involved automatically
estimating an eating disorders questionnaire by analysing users’ social
media posts. - Javier Parapar, Patricia Martín-Rodilla, David E. Losada, Fabio Crestani - 10.1007/978-3-031-71908-0_4 - 978-3-031-71735-2
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