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arXiv 2203.05355cs.CL

SATLab at SemEval-2022 Task 4: Trying to Detect Patronizing and Condescending Language with only Character and Word N-grams

Statistical Analysis of Text Laboratory (SATLab)(文本统计分析实验室(SATLab));Université catholique de Louvain(鲁汶天主教大学)

Yves Bestgen

英文摘要:

A logistic regression model only fed with character and word n-grams is proposed for the SemEval-2022 Task 4 on Patronizing and Condescending Language Detection (PCL). It obtained an average level of performance, well above the performance of a system that tries to guess without using any knowledge about the task, but much lower than the best teams. As the proposed model is very similar to the one that performed well on a task requiring to automatically identify hate speech and offensive content, this paper confirms the difficulty of PCL detection.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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