[论文] Patronizing and Condescending Language Detection in English and Mandar...

论文概要

研究领域: ML
作者: Xinyi Vicky Xiang, Catherine Qingyun Wang, Paula Cortés Lemos
发布时间: 2026-10-27
arXiv: 2610.31808

中文摘要

居高临下和傲慢的语言（PCL）是一种有害语言形式，它贬低弱势群体并假意怜悯，强化负面社会刻板印象。然而，与公开的仇恨言论不同，PCL通常很难被检测出来，即使对人类评审员也是如此。本文提出了一个自动检测PCL的系统。我们的第一种方法使用静态词嵌入和卷积神经网络进行分类，第二种方法使用针对PCL任务微调的预训练BERT嵌入。第二种方法明显更成功，在开发集上实现了0.528的F1分数。

原文摘要

Patronizing and condescending language (PCL) is a form of harmful language that belittles and assumes pity for vulnerable groups, reinforcing negative societal stereotypes. However, unlike overt hate speech, it is often difficult to detect, even for human judges. This paper proposes a system for the automated detection of PCL. Our first approach uses static word embeddings and a convolutional neural network for classification, while our second approach uses pre-trained BERT embeddings fine-tuned for the PCL task. Our second approach was considerably more successful, and achieved an F1 score of 0.528 over the development set.

自动采集于 2026-10-27

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