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English(EN) MISO-BR: An Open Corpus for Misogyny Detection in Brazilian Portuguese

新的MISO-BR语料库旨在检测巴西葡萄牙语中的厌女症

研究人员推出了MISO-BR,这是一个新推出的开放语料库,专门用于检测巴西葡萄牙语社交媒体文本中的厌女症。该语料库包含896条标注的社交媒体帖子,通过详细的构建协议和可复现的基线进行开发。实验表明,像BERTimbau这样的Transformer模型比传统分类器取得了显著更高的性能,宏F1分数达到0.833,而传统模型的得分范围为0.651-0.676。 AI

影响 为开发和评估资源较少的语言中的仇恨言论检测模型提供了一个新资源。

排序理由 该项目是一篇研究论文,介绍了一个新的数据集和特定NLP任务的模型评估。[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MISO-BR语料库旨在检测巴西葡萄牙语中的厌女症

本文如何被排名

Signal score
35 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
该项目是一篇研究论文,介绍了一个新的数据集和特定NLP任务的模型评估。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
paper, other
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · F\'abio A. S. Passos, P\'ericles B. C. Miranda, Ana Paula Cavalcanti ·

    MISO-BR:巴西葡萄牙语中的厌女症检测开放语料库

    arXiv:2611.14036v1 Announce Type: cross Abstract: Misogyny is among the most prevalent forms of online hate speech directed at Brazilian users, yet open and auditable resources dedicated to it in Brazilian Portuguese remain scarce. We introduce MISO-BR, an open, documented and ve…