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Ukrainian court decisions yield legal domain graph

Researchers have developed a method to automatically construct a legal citation graph from over 100 million Ukrainian court decisions. This graph reveals distinct legal domain boundaries and accurately predicts future legislative importance. The analysis identified key judicial hubs and detected significant shifts, such as the impact of the 2022 invasion, through citation entropy spikes. AI

影响 Automated legal ontology construction could streamline LLM-assisted legal analysis and improve information retrieval from large legal datasets.

排序理由 Academic paper detailing a novel method for constructing and analyzing a legal citation graph. [lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

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Ukrainian court decisions yield legal domain graph

报道来源 [1]

  1. arXiv cs.CL TIER_1 English(EN) · Volodymyr Ovcharov ·

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

    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…