第1001章别给我摆架子！一个对弱势群体具有庇护和居高临下语言的注释数据集
Don't Patronize Me! An Annotated Dataset with Patronizing and Condescending Language towards Vulnerable Communities
摘要：
在本文中，我们介绍了一个新的注释数据集，旨在支持NLP模型的开发，以识别和分类对弱势群体（例如难民，无家可归者，贫困家庭）有优越感或居高临下的语言。虽然这种语言在一般媒体中的流行长期以来一直被证明具有有害影响，但它与其他类型的有害语言不同，因为它通常是无意识地使用的，并且具有良好的意图。我们还认为，居高临下的语言（PCL）的微妙本质给NLP社区带来了一个有趣的技术挑战。我们对所提出的数据集的分析表明，标准NLP模型很难识别PCL，而BERT等语言模型则能获得最佳结果。
英文摘要：
In this paper, we introduce a new annotated dataset which is aimed at supporting the development of NLP models to identify and categorize language that is patronizing or condescending towards vulnerable communities (e.g. refugees, homeless people, poor families). While the prevalence of such language in the general media has long been shown to have harmful effects, it differs from other types of harmful language, in that it is generally used unconsciously and with good intentions. We furthermore believe that the often subtle nature of patronizing and condescending language (PCL) presents an interesting technical challenge for the NLP community. Our analysis of the proposed dataset shows that identifying PCL is hard for standard NLP models, with language models such as BERT achieving the best results.
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。
