English(EN) Automatic Construction of a Legal Citation Graph from 100 Million Ukrainian Court Decisions: Large-Scale Extraction, Topological Analysis, and Ontology-Driven Clustering

乌克兰法院判决数据生成法律领域图谱

作者 PulseAugur 编辑部 · [1 个来源] · 2026-05-14 19:42

研究人员开发了一种从超过1亿份乌克兰法院判决书中自动构建法律引文图谱的方法。该图谱揭示了清晰的法律领域边界，并能准确预测未来的立法重要性。通过引文熵的激增，分析识别出了关键的司法中心，并检测到了重大变化，例如2022年入侵的影响。 AI

影响自动化的法律本体构建可以简化LLM辅助的法律分析，并改进从大型法律数据集中检索信息。

排序理由学术论文，详细介绍了一种构建和分析法律引文图谱的新方法。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

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

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: Tool; 学术论文，详细介绍了一种构建和分析法律引文图谱的新方法。[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: 146 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]

arXiv cs.CL TIER_1 English(EN) · Volodymyr Ovcharov · 2026-05-14 19:42

从一亿份乌克兰法院判决书中自动构建法律引文图谱：大规模提取、拓扑分析和本体驱动聚类

Half a billion citation edges extracted from 100.7 million Ukrainian court decisions reveal that judicial citation structure encodes legal domain boundaries without supervision and predicts future legislative importance with near-perfect accuracy. We construct the first large-sca…

本文如何被排名

报道来源 [1]

从一亿份乌克兰法院判决书中自动构建法律引文图谱：大规模提取、拓扑分析和本体驱动聚类

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