@inproceedings{das-etal-2023-au,
title = "{AU}{\_}{NLP} at {S}em{E}val-2023 Task 10: Explainable Detection of Online Sexism Using Fine-tuned {R}o{BERT}a",
author = "Das, Amit and
Raychawdhary, Nilanjana and
Bhattacharya, Tathagata and
Dozier, Gerry and
Seals, Cheryl D.",
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-1.97",
doi = "10.18653/v1/2023.semeval-1.97",
pages = "707--717",
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.",
}
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%0 Conference Proceedings
%T AU_NLP at SemEval-2023 Task 10: Explainable Detection of Online Sexism Using Fine-tuned RoBERTa
%A Das, Amit
%A Raychawdhary, Nilanjana
%A Bhattacharya, Tathagata
%A Dozier, Gerry
%A Seals, Cheryl D.
%Y Ojha, Atul Kr.
%Y Doğruöz, A. Seza
%Y Da San Martino, Giovanni
%Y Tayyar Madabushi, Harish
%Y Kumar, Ritesh
%Y Sartori, Elisa
%S Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023)
%D 2023
%8 July
%I Association for Computational Linguistics
%C Toronto, Canada
%F das-etal-2023-au
%X 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.
%R 10.18653/v1/2023.semeval-1.97
%U https://aclanthology.org/2023.semeval-1.97
%U https://doi.org/10.18653/v1/2023.semeval-1.97
%P 707-717
Markdown (Informal)
[AU_NLP at SemEval-2023 Task 10: Explainable Detection of Online Sexism Using Fine-tuned RoBERTa](https://aclanthology.org/2023.semeval-1.97) (Das et al., SemEval 2023)
ACL