Work

PCJ at SemEval-2023 Task 10: A Ensemble Model Based on Pre-trained Model for Sexism Detection and Classification in English

Year: 2023

Type: conference-paper

Abstract: This paper describes the system and the resulting model submitted by our team "PCJ" to the SemEval-2023 Task 10 sub-task A contest.In this task, we need to test the English text content in the posts to determine whether there is sexism, which involves emotional text classification.Our submission system utilizes methods based on RoBERTa, SimCSE-RoBERTa pre-training models, and model ensemble to classify and train on datasets provided by the organizers.In the final assessment, our submission achieved a macro average F1 score of 0.8449, ranking 28th out of 84 teams in Task A.

Source: International Workshop on Semantic Evaluation (SemEval)

DOI: 10.18653/v1/2023.semeval-1.59

Authors: Chujun Pu, Xiaobing Zhou

Institution: Yunnan University

Language: English

Topic: Hate Speech and Cyberbullying Detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Reduced inequalities

Open Access status: hybrid

OpenAlex ID: W4385570477