Team LEGO at SemEval-2022 Task 4: Machine Learning Methods for PCL Detection

Abstract

In this paper, we present our submission to the SemEval 2022 - Task 4 on Patronizing and Condescending Language (PCL) detection. We approach this problem as a traditional text classification problem with machine learning (ML) methods. We experiment and investigate the use of various ML algorithms for detecting PCL in news articles. Our best methodology achieves an F1- Score of 0.39 for subtask1 with a rank of 63 out of 80, and F1-score of 0.082 for subtask2 with a rank of 41 out of 48 on the blind dataset provided in the shared task.