This is a binary classification consisting on deciding whether or not a given tweet contains sexist expressions or behaviours (i.e., it is sexist itself, describes a sexist situation or criticizes a sexist behaviour).
Publication
Plaza, L. et al. (2023). Overview of EXIST 2023 – Learning with Disagreement for Sexism Identification and Characterization. In: Arampatzis, A., et al. Experimental IR Meets Multilinguality, Multimodality, and Interaction. CLEF 2023. Lecture Notes in Computer Science, vol 14163. Springer, Cham. https://doi.org/10.1007/978-3-031-42448-9_23
Competition
Language
Spanish
URL Task
NLP topic
Abstract task
Dataset
Year
2023
Publication link
Ranking metric
ICM
Task results
| System | ICM |
|---|---|
| distilbert-base-multilingual-cased | 0.57 |
| ixambert-base-cased | 0.60 |
| distillbert-base-spanish-uncased | 0.60 |
| xlm-roberta-base | 0.62 |
| xlm-roberta-large | 0.64 |
| PlanTL-GOB-ES-roberta-base-bne | 0.63 |
| bertin-roberta-base-spanish | 0.62 |
| bert-base-spanish-wwm-cased | 0.63 |
| PlanTL-GOB-ES-roberta-large-bne | 0.64 |
| bert-base-multilingual-cased | 0.60 |
