Work

hhuEDOS at SemEval-2023 Task 10: Explainable Detection of Online Sexism (EDOS) Binary Sexism Detection (Subtask A)

Year: 2023

Type: conference-paper

Abstract: In this paper, we describe our contribution to the SemEval-2023 Task 10 (Subtask A), a shared task on detecting and predicting sexist language.The dataset consists of labeled sexist and non-sexist data targeted towards women acquired from both Reddit and Gab.We present and compare several approaches we experimented with and our final submitted model.Additional error analysis is given to recognize challenges we dealt with in our process.A total of 84 teams participated.Our model ranks 55th overall in Subtask A of the shared task.

Source: International Workshop on Semantic Evaluation (SemEval)

DOI: 10.18653/v1/2023.semeval-1.203

Authors: Wiebke Petersen, Diem-Ly Tran, Marion Wroblewitz

Institution: Heinrich Heine University Düsseldorf

Language: English

Topic: Hate Speech and Cyberbullying Detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDGs: Gender equality, Reduced inequalities

Open Access status: hybrid

Funder: Heinrich-Heine-Universität Düsseldorf