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eRisk 2023: Depression, Pathological Gambling, and Eating Disorder Challenges

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URI: http://hdl.handle.net/2183/39878
DOI: 10.1007/978-3-031-28241-6_67

Publication date

2023-03

Authors

Losada, David E.
Crestani, Fabio

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Parapar, J., Martín-Rodilla, P., Losada, D.E., Crestani, F. (2023). eRisk 2023: Depression, Pathological Gambling, and Eating Disorder Challenges. In: Kamps, J., et al. Advances in Information Retrieval. ECIR 2023. Lecture Notes in Computer Science, vol 13982. Springer, Cham. https://doi.org/10.1007/978-3-031-28241-6_67

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Abstract

[Abstract]: In 2017, we launched eRisk as a CLEF Lab to encourage research on early risk detection on the Internet. Since then, thanks to the participants’ work, we have developed detection models and datasets for depression, anorexia, pathological gambling and self-harm. In 2023, it will be the seventh edition of the lab, where we will present a new type of task on sentence ranking for depression symptoms. This paper outlines the work that we have done to date, discusses key lessons learned in previous editions, and presents our plans for eRisk 2023.

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Presented at: 45th European Conference on Information Retrieval, ECIR 2023, Dublin, 2 April 2023 through 6 April 2023.
This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/978-3-031-28241-6_67

Keywords

eRisk Depression Anorexia Self-harm

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https://doi.org/10.1007/978-3-031-28241-6_67

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© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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Investigación (FIC)