A dependency-parsing method and a LEGAL-BERT-based classifier both reach roughly 80-84% accuracy for identifying regulatory statements in EU law on a new 7,200-sentence dataset, with a Krippendorff's alpha of 0.58 between them.
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Computational Identification of Regulatory Statements in EU Legislation
A dependency-parsing method and a LEGAL-BERT-based classifier both reach roughly 80-84% accuracy for identifying regulatory statements in EU law on a new 7,200-sentence dataset, with a Krippendorff's alpha of 0.58 between them.