研究人员推出 W&C-Sent，一个旨在对句子级别的温暖与能力进行标注的新数据集。该数据集包含来自社交媒体帖子的 1,600 多个英文句子-目标对。标注涵盖信任、社交性和能力，旨在推进计算社会科学中的自然语言处理研究。 AI
影响 为评估大型语言模型对文本中社会感知的理解提供新资源。
排序理由 该集群描述了一个新的学术数据集及其对大型语言模型的评估。
AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →
新数据集标注文本中的温暖与能力社会感知维度
本文如何被排名
- Signal score
- 0 / 100
- Composite score across the factors below. Higher = stronger signal that this story matters right now.
- Newsworthiness bucket
- Research
- 该集群描述了一个新的学术数据集及其对大型语言模型的评估。
- 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
- 126 days old
- Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.
完整方法见我们的编辑标准。
报道来源 [1]
-
文本中社会认知维度的标注：一个关于温暖与能力的句子级数据集
arXiv:2601.06316v3 Announce Type: replace Abstract: Warmth (W) (often further broken down intoTrust (T) and Sociability (S)) and Competence (C) are central dimensions along which people evaluate individuals and social groups (Fiske, 2018). While these constructs are well establis…