Overview of MeOffendEs at IberLEF 2021: Offensive Language Detection in Spanish Variants

Flor Miriam Plaza-del-Arco, Marco Casavantes, Hugo Jair Escalante, M. Teresa Martín-Valdivia, Arturo Montejo-Ráez, Manuel Montes-y-Gómez, Horacio Jarquín-Vásquez, Luis Villaseñor-Pineda


This paper is an overview of MeOffendES 2021, organized at IberLEF 2021 and co-located with the 37th International Conference of the Spanish Society for Natural Language Processing (SEPLN 2021). The main purpose of MeOffendEs is to promote research on the detection of offensive language in Spanish variants. The shared task involve four subtasks, the first two correspond to the identification of offensive language categories in generic Spanish texts from different social media platforms, while subtasks 3 and 4 are related to the identification of offensive langua-ge targeting the Mexican variant of Spanish. Two annotated datasets on offensive language have been released to the Natural Language Processing community. MeOf-fendes attracted a large number of participants: a total of 69 signed up to participate in the task, 12 submitted official runs on the test data, and 10 submitted system description papers. Corpora and results are available at the shared task website at https://competitions.codalab.org/competitions/28679.

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