This paper presents the methodology and data used for the automatic
extr...
In this work, we present the contribution of the BLUE team in the eRisk ...
Depression detection from user-generated content on the internet has bee...
This work proposes a transformer architecture for user-level classificat...
In this work, we explore the relationship between depression and
manifes...
Memes are prevalent on the internet and continue to grow and evolve alon...
Current benchmark tasks for natural language processing contain text tha...
In this work, we provide an extensive part-of-speech analysis of the
dis...
Early risk detection of mental illnesses has a massive positive impact u...
In this paper, we analyze the interplay between the use of offensive lan...
Computational research on mental health disorders from written texts cov...