SUTNLP at SemEval-2023 Task 10: RLAT-Transformer for explainable online sexism detection

Hamed Hematian Hemati, Sayed Hesam Alavian, Hamid Beigy, Hossein Sameti

Abstract
There is no simple definition of sexism, butit can be described as prejudice, stereotyping,or discrimination, especially against women,based on their gender. In online interactions,sexism is common. One out of ten Americanadults says that they have been harassed be-cause of their gender and have been the targetof sexism, so sexism is a growing issue. TheExplainable Detection of Online Sexism sharedtask in SemEval-2023 aims at building sexismdetection systems for the English language. Inorder to address the problem, we use largelanguage models such as RoBERTa and De-BERTa. In addition, we present Random LayerAdversarial Training (RLAT) for transformers,and show its significant impact on solving allsubtasks. Moreover, we use virtual adversar-ial training and contrastive learning to improveperformance on subtask A. Upon completionof subtask A, B, and C test sets, we obtainedmacro-F1 of 84.45, 67.78, and 52.52, respec-tively outperforming proposed baselines on allsubtasks. Our code is publicly available onGithub.
Anthology ID:
2023.semeval-1.47
Volume:
Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023)
Month:
July
Year:
2023
Address:
Toronto, Canada
Editors:
Atul Kr. Ojha, A. Seza Doğruöz, Giovanni Da San Martino, Harish Tayyar Madabushi, Ritesh Kumar, Elisa Sartori
Venue:
SemEval
SIG:
SIGLEX
Publisher:
Association for Computational Linguistics
Note:
Pages:
347–356
Language:
URL:
https://preview.aclanthology.org/icon-24-ingestion/2023.semeval-1.47/
DOI:
10.18653/v1/2023.semeval-1.47
Bibkey:
Cite (ACL):
Hamed Hematian Hemati, Sayed Hesam Alavian, Hamid Beigy, and Hossein Sameti. 2023. SUTNLP at SemEval-2023 Task 10: RLAT-Transformer for explainable online sexism detection. In Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023), pages 347–356, Toronto, Canada. Association for Computational Linguistics.
Cite (Informal):
SUTNLP at SemEval-2023 Task 10: RLAT-Transformer for explainable online sexism detection (Hematian Hemati et al., SemEval 2023)
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PDF:
https://preview.aclanthology.org/icon-24-ingestion/2023.semeval-1.47.pdf
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