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English(EN) ALTO: African and Levantine Tech-Facilitated Gender-Based Violence Corpus

新的ALTO数据集针对阿拉伯语、法语、斯瓦希里语中技术促进的性别暴力

研究人员开发了ALTO数据集,这是一个包含3,022个黎凡特阿拉伯语、非洲法语和斯瓦希里语中技术促进的性别暴力(TFGBV)实例的新集合。这项社区主导的努力与约旦、法语西非和肯尼亚的民间社会组织合作,解决了TFGBV检测在非全球北方语言中缺乏文化和语言相关数据的问题。基准测试实验显示,现有的有害内容检测模型在此数据集上的表现不佳,特别是遗漏了隐蔽性伤害,并且在斯瓦希里语中错误率更高,尽管微调显示有所改进。 AI

影响 该数据集旨在提高AI在代表性不足的语言和文化背景下检测和打击在线性别暴力的能力。

排序理由 该集群是关于在arXiv上发布的新学术数据集和论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新的ALTO数据集针对阿拉伯语、法语、斯瓦希里语中技术促进的性别暴力

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该集群是关于在arXiv上发布的新学术数据集和论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Tianwei Zhang, Ivy Njoki Nyagwencha, Zahraa Dirani, Shalini Joshi, Scott A. Hale ·

    ALTO:非洲和黎凡特科技促进的性别暴力语料库

    arXiv:2611.06706v1 Announce Type: cross Abstract: Tech-facilitated gender based violence (TFGBV) is a pervasive online harm affecting women and gender minority groups through its many direct and covert forms. Current models and annotated datasets for gendered harm detection are d…