Multiclass problem that consists in categorize the message according to the type of sexism it encloses.
Publication
Francisco Rodríguez-Sánchez, Jorge Carrillo-de-Albornoz, Laura Plaza, Adrián Mendieta-Aragón, Guillermo Marco-Remón, Maryna Makeienko, María Plaza, Julio Gonzalo, Damiano Spina, Paolo Rosso (2022) Overview of EXIST 2022: sEXism Identification in Social neTworks. Procesamiento del Lenguaje Natural, Revista nº 69, septiembre de 2022, pp. 229-240.
Language
English
URL Task
NLP topic
Abstract task
Dataset
Year
2022
Publication link
Ranking metric
F1
Task results
System | MacroF1 |
---|---|
ixambert-base-cased | 0.5300 |
bert-base-multilingual-cased | 0.5000 |
distilbert-base-multilingual-cased | 0.5300 |
roberta-base | 0.5300 |
bert-base-cased | 0.5300 |
xlm-roberta-base | 0.5300 |
distilbert-base-uncased | 0.5500 |
roberta-large | 0.5800 |
distilbert-base-multilingual-cased | 0.4800 |
xlm-roberta-large | 0.5600 |