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English(EN) Agreement Between Reconstructed and Native GDELT GKG Records: A Field-Level Baseline

GDELT GKG重构工具显示与原生记录的协议度不一

作者 PulseAugur 编辑部 · [3 个来源] ·

研究人员开发了一个开源重构工具gdelt-regkg，用于生成与GDELT项目全球知识图谱（GKG）兼容的记录。对超过193,000篇英文文章的重构记录与GDELT原生记录进行字段级分析，发现协议度不一。虽然GCAM类别存在等字段的协议度很高（微F1 0.84），但引语和完整计数等字段的协议度非常低（0.07）。研究表明，重构记录应单独评估，不应被视为与GDELT原生记录完全可互换。 AI

影响 为研究人员提供了一个重构和分析GDELT数据的工具，可能改进依赖事件和实体提取的NLP任务。

排序理由 该集群包含一篇学术论文，详细介绍了一个新的开源工具及其与现有数据的评估。

在 Hugging Face Daily Papers 阅读 →

AI 生成摘要 · Google Gemini · 来自 3 个来源。 我们如何撰写摘要 →

GDELT GKG重构工具显示与原生记录的协议度不一

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该集群包含一篇学术论文，详细介绍了一个新的开源工具及其与现有数据的评估。
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报道来源 [3]

  1. arXiv cs.CL TIER_1 English(EN) · Nikita A. Klimin (HSE University, Moscow, Russia) ·

    重构与原生GDELT GKG记录之间的协议：一个字段级基线

    arXiv:2610.35358v1 Announce Type: new Abstract: The Global Knowledge Graph (GKG) of the Global Database of Events, Language, and Tone (GDELT) characterizes news articles using named entities, topics, quantitative and temporal features, quotations, tone, and dictionary-based conte…

  2. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Nikita A. Klimin ·

    重构与原生GDELT GKG记录之间的协议：一个字段级基线

    The Global Knowledge Graph (GKG) of the Global Database of Events, Language, and Tone (GDELT) characterizes news articles using named entities, topics, quantitative and temporal features, quotations, tone, and dictionary-based content measures. Its codebook defines the record for…

  3. Hugging Face Daily Papers TIER_1 English(EN) ·

    重构与原生GDELT GKG记录之间的协议：一个字段级基线

    The Global Knowledge Graph (GKG) of the Global Database of Events, Language, and Tone (GDELT) characterizes news articles using named entities, topics, quantitative and temporal features, quotations, tone, and dictionary-based content measures. Its codebook defines the record for…

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