Binary classification problem, consisting in determmine whether a text or message is sexist or not. It includes any type of sexist expression or related phenomena, like descriptive or reported assertions where the sexist message is a report or a description of a sexist event. In particular, we consider two labels:
- Sexist: the tweet or gab expresses sexist behaviours or discourses.
- Non-Sexist: the tweet or gab does not express any sexist behaviour or discourse.
Publicación
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.
Idioma
Inglés
URL Tarea
NLP topic
Tarea abstracta
Dataset
Año
2022
Enlace publicación
Métrica Ranking
Accuracy
Mejores resultados para la tarea
Sistema | Accuracy |
---|---|
ixambert-base-cased | 0.7500 |
bert-base-multilingual-cased | 0.7600 |
distilbert-base-multilingual-cased | 0.7400 |
bert-base-cased | 0.7600 |
xlm-roberta-base | 0.7600 |
distilbert-base-uncased | 0.7700 |
roberta-base | 0.7800 |
roberta-large | 0.8100 |
xlm-roberta-large | 0.7900 |