AU_NLP at SemEval-2023 Task 10: Explainable Detection of Online Sexism Using Fine-tuned RoBERTa
Amit Das, Nilanjana Raychawdhary, Tathagata Bhattacharya, Gerry Dozier, Cheryl D. Seals
Abstract
Social media is a concept developed to link people and make the globe smaller. But it has recently developed into a center for sexist memes that target especially women. As a result, there are more events of hostile actions and harassing remarks present online. In this paper, we introduce our system for the task of online sexism detection, a part of SemEval 2023 task 10. We introduce fine-tuned RoBERTa model to address this specific problem. The efficiency of the proposed strategy is demonstrated by the experimental results reported in this research.- Anthology ID:
- 2023.semeval-1.97
- 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:
- 707–717
- Language:
- URL:
- https://preview.aclanthology.org/icon-24-ingestion/2023.semeval-1.97/
- DOI:
- 10.18653/v1/2023.semeval-1.97
- Cite (ACL):
- Amit Das, Nilanjana Raychawdhary, Tathagata Bhattacharya, Gerry Dozier, and Cheryl D. Seals. 2023. AU_NLP at SemEval-2023 Task 10: Explainable Detection of Online Sexism Using Fine-tuned RoBERTa. In Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023), pages 707–717, Toronto, Canada. Association for Computational Linguistics.
- Cite (Informal):
- AU_NLP at SemEval-2023 Task 10: Explainable Detection of Online Sexism Using Fine-tuned RoBERTa (Das et al., SemEval 2023)
- PDF:
- https://preview.aclanthology.org/icon-24-ingestion/2023.semeval-1.97.pdf