221 citations · 276 across the 7 of their papers we have counts for
8 papers
A Time-Aware Approach to Early Detection of Anorexia: UNSL at eRisk 2024
Horacio Thompson, Marcelo Errecalde
The eRisk laboratory aims to address issues related to early risk detection on the Web. In this year's edition, three tasks were proposed, where Task 2 was about early detection of…
Early Detection of Depression and Eating Disorders in Spanish: UNSL at MentalRiskES 2023
Horacio Thompson, Marcelo Errecalde
MentalRiskES is a novel challenge that proposes to solve problems related to early risk detection for the Spanish language. The objective is to detect, as soon as possible, Telegra…
Strategies to Harness the Transformers' Potential: UNSL at eRisk 2023
Horacio Thompson, Leticia Cagnina, Marcelo Errecalde
The CLEF eRisk Laboratory explores solutions to different tasks related to risk detection on the Internet. In the 2023 edition, Task 1 consisted of searching for symptoms of depres…
PySS3: A Python package implementing a novel text classifier with visualization tools for Explainable AI
Sergio G. Burdisso, Marcelo Errecalde, Manuel Montes-y-Gómez
A recently introduced text classifier, called SS3, has obtained state-of-the-art performance on the CLEF's eRisk tasks. SS3 was created to deal with risk detection over text stream…
t-SS3: a text classifier with dynamic n-grams for early risk detection over text streams
Sergio G. Burdisso, Marcelo Errecalde, Manuel Montes-y-Gómez
A recently introduced classifier, called SS3, has shown to be well suited to deal with early risk detection (ERD) problems on text streams. It obtained state-of-the-art performance…
A Text Classification Framework for Simple and Effective Early Depression Detection Over Social Media Streams
Sergio G. Burdisso, Marcelo Errecalde, Manuel Montes-y-Gómez
With the rise of the Internet, there is a growing need to build intelligent systems that are capable of efficiently dealing with early risk detection (ERD) problems on social media…