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New ICJ-Graph resource maps legal citations with AI tools

By PulseAugur Editorial · [1 sources] ·

Researchers have developed ICJ-Graph, a new resource that maps citations within documents from the International Court of Justice (ICJ). This graph connects court decisions, legal provisions, and United Nations resolutions, comprising 6,396 ICJ documents and 505 external legal documents. The data includes text, metadata, and embeddings, along with a pipeline for generating embeddings for retrieval systems. Initial evaluations show that tools designed for citation research enhance citation prediction accuracy for various models. AI

IMPACT This resource could enhance legal research and AI applications in the legal domain by improving document retrieval and citation analysis.

RANK_REASON The item is a research paper detailing a new dataset and methodology for legal document analysis. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New ICJ-Graph resource maps legal citations with AI tools

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29 / 100
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The item is a research paper detailing a new dataset and methodology for legal document analysis. [lever_c_demoted from research: ic=1 ai=0.7]
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paper, other
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Jirameth Wannasiwaporn, Pawitsapak Akarajaradwong, Chompakorn Chaksangchaichot ·

    ICJ-Graph: A Citation Graph and a Layered Document Corpus of the International Court of Justice

    arXiv:2611.02630v1 Announce Type: new Abstract: We present ICJ-Graph, a machine-readable resource connecting documents of the International Court of Justice (ICJ) to cited cases, legal provisions and United Nations resolutions. Court decisions, written pleadings and oral records …

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