Aggresive language detection

 This task focuses on the detection of aggressive tweets in Mexican Spanish. It is a binary classification task where systems have to decide whether a tweet is aggressive or not.

Publication
Mario Ezra Aragón, Horacio Jarquín-Vásquez, Manuel Montes-y-Gómez, Hugo Jair Escalante, Luis Villaseñor-Pineda, Helena Gómez-Adorno, Juan-Pablo Posadas-Durán, Gemma Bel-Enguix (2020) Overview of MEX-A3T at IberLEF 2020: Fake News and Aggressiveness Analysis in Mexican Spanish. Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2020)
Competition
Language
Spanish (Mexico)
NLP topic
Abstract task
Year
2020
Ranking metric
Macro F1

Task results

System MacroF1 Sort ascending
CIMAT-1 0.8596
CIMAT-2 0.8588
UPB-2 0.8538
UACh-2 0.8381
Idiap-UAM-1 0.8200

If you have published a result better than those on the list, send a message to odesia-comunicacion@lsi.uned.es indicating the result and the DOI of the article, along with a copy of it if it is not published openly.