AU_NLP at SemEval-2023 Task 10: Explainable Detection of Online Sexism Using Fine-tuned RoBERTa
Amit Kumar Das, Nilanjana Raychawdhary, Tathagata Bhattacharya, Gerry Vernon Dozier, Cheryl Seals · 2023
Social media is a concept developed to link people and make the globe smaller.But it has recently developed into a center for sexist posts 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 Explainable Detection of Online Sexism (EDOS), a part of SemEval 2023 task 10.We introduce a finetuned RoBERTa model by encoding the initial representation of the data using Roberta and setting three distinct Multilayer Perceptrons (MLPs) corresponding to the three sub-tasks to address this specific problem.The effectiveness of the proposed strategy is demonstrated by the experimental results reported in this research.