eRisk, a CLEF lab oriented to early risk prediction on the Internet, started in 2017 as a forum to foster experimentation on early risk detection. After four editions (2017, 2018, 2019 and 2020), the lab has created many reference collections in the field and organized multiple early risk detection challenges using those datasets. Each challenge focused on a specific early risk detection problem (e.g., depression, anorexia or self-harm). This paper describes the work done so far, discusses the main lessons learned over the past editions and the plans for the eRisk 2021 edition, where we introduced pathological gambling as a new early risk detection challenge.
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