论文标题
专业演示和预计权力：英语简历中隐性性别信息的案例研究
Professional Presentation and Projected Power: A Case Study of Implicit Gender Information in English CVs
论文作者
论文摘要
在招聘中的性别歧视是社会上的相关和持久的偏见，也是探索NLP偏见的普遍激励榜样。但是，应用材料中性别语言的表现受到了有限的关注。本文研究了自我认同的男人和女人的简历中技能和背景的框架。我们介绍了来自美国的1.8k真实，英语，英语，CVS的数据集，涵盖16个职业，使我们能够部分控制特定于职业的性别基本率。我们发现（1）女性使用更多动词引起了低功率的印象； （2）分类器即使在数据平衡和删除代词和命名实体之后也捕获性别信号，这对于基于变压器和线性分类器都可以。
Gender discrimination in hiring is a pertinent and persistent bias in society, and a common motivating example for exploring bias in NLP. However, the manifestation of gendered language in application materials has received limited attention. This paper investigates the framing of skills and background in CVs of self-identified men and women. We introduce a data set of 1.8K authentic, English-language, CVs from the US, covering 16 occupations, allowing us to partially control for the confound occupation-specific gender base rates. We find that (1) women use more verbs evoking impressions of low power; and (2) classifiers capture gender signal even after data balancing and removal of pronouns and named entities, and this holds for both transformer-based and linear classifiers.
