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This paper describes my participation in the SemEval-2022 Task 4: Patronizingand Condescending Language Detection. I participate in both subtasks:Patronizing and Condescending Language (PCL) Identification and Patronizing andCondescending Language Categorization, with the main focus put on subtask 1.The experiments compare pre-BERT neural network (NN) based systems againstpost-BERT pretrained language model RoBERTa. This research finds NN-basedsystems in the experiments perform worse on the task compared to the pretrainedlanguage models. The top-performing RoBERTa system is ranked 26 out of 78 teams(F1-score: 54.64) in subtask 1, and 23 out of 49 teams (F1-score: 30.03) insubtask 2.

Xu at SemEval-2022 Task 4: Pre-BERT Neural Network Methods vs Post-BERT RoBERTa Approach for Patronizing and Condescending Language Detection