  Early risk detection of mental illnesses has a massive positive impact upon
the well-being of people. The eRisk workshop has been at the forefront of
enabling interdisciplinary research in developing computational methods to
automatically estimate early risk factors for mental issues such as depression,
self-harm, anorexia and pathological gambling. In this paper, we present the
contributions of the BLUE team in the 2021 edition of the workshop, in which we
tackle the problems of early detection of gambling addiction, self-harm and
estimating depression severity from social media posts. We employ pre-trained
BERT transformers and data crawled automatically from mental health subreddits
and obtain reasonable results on all three tasks.
