构建瑞典语厌女症检测数据集，专家参与确保文化准确性
BiaSWE: An Expert Annotated Dataset for Misogyny Detection in Swedish
- 联合社科人文专家制定标注流程，融合语言与领域知识
- 创建首个瑞典语厌女症专用标注数据集，支持低资源语言偏见检测
- 适合研究性别偏见、低资源语言文本分析的学者使用
本研究介绍了BiaSWE数据集的构建过程，该数据集是为瑞典语厌女症检测而设计的专家标注数据集。为应对瑞典语中厌女现象的文化与语言特殊性，我们与社会科学和人文学科专家合作，组建跨学科团队，开发了严格的标注流程，结合领域知识与语言专长，以捕捉瑞典语语境下的厌女表达细微差别。该方法确保数据集不仅具有文化相关性，还契合低资源语言偏见检测的广泛研究目标。数据集及标注指南已公开，供后续研究使用。
原文摘要 · Abstract (English)
In this study, we introduce the process for creating BiaSWE, an expert-annotated dataset tailored for misogyny detection in the Swedish language. To address the cultural and linguistic specificity of misogyny in Swedish, we collaborated with experts from the social sciences and humanities. Our interdisciplinary team developed a rigorous annotation process, incorporating both domain knowledge and language expertise, to capture the nuances of misogyny in a Swedish context. This methodology ensures that the dataset is not only culturally relevant but also aligned with broader efforts in bias detection for low-resource languages. The dataset, along with the annotation guidelines, is publicly available for further research.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。