@inproceedings{hassan-etal-2023-firc,
    title = "{F}i{RC} at {S}em{E}val-2023 Task 10: Fine-grained Classification of Online Sexism Content Using {D}e{BERT}a",
    author = "Hassan, Fadi  and
      Bouchekif, Abdessalam  and
      Aransa, Walid",
    editor = {Ojha, Atul Kr.  and
      Do{\u{g}}ru{\"o}z, A. Seza  and
      Da San Martino, Giovanni  and
      Tayyar Madabushi, Harish  and
      Kumar, Ritesh  and
      Sartori, Elisa},
    booktitle = "Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023)",
    month = jul,
    year = "2023",
    address = "Toronto, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.semeval-1.252",
    doi = "10.18653/v1/2023.semeval-1.252",
    pages = "1824--1832",
    abstract = "The SemEval 2023 shared task 10 {``}Explainable Detection of Online Sexism{''} focuses on detecting and identifying comments and tweets containing sexist expressions and also explaining why it is sexist. This paper describes our system that we used to participate in this shared task. Our model is an ensemble of different variants of fine tuned DeBERTa models that employs a k-fold cross-validation. We have participated in the three tasks A, B and C. Our model ranked 2 nd position in tasks A, 7 th in task B and 4 th in task C.",
}

The SemEval 2023 shared task 10 {``}Explainable Detection of Online Sexism{''} focuses on detecting and identifying comments and tweets containing sexist expressions and also explaining why it is sexist. This paper describes our system that we used to participate in this shared task. Our model is an ensemble of different variants of fine tuned DeBERTa models that employs a k-fold cross-validation. We have participated in the three tasks A, B and C. Our model ranked 2 nd position in tasks A, 7 th in task B and 4 th in task C.
Hassan, Fadi Bouchekif, Abdessalam Aransa, Walid
FiRC at SemEval-2023 Task 10: Fine-grained Classification of Online Sexism Content Using DeBERTa