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dc.contributor.authorPANAGIS, Yannis
dc.contributor.authorSADL, Urska
dc.contributor.authorTARISSAN, Fabien
dc.identifier.citationAdam WYNER and Giovanni CASINI (eds), Legal knowledge and information systems : JURIX 2017 The thirtieth Annual Conference, Amsterdam : IOS Press, 2017, Frontiers in artificial intelligence and applications ; 302, pp. 59-68en
dc.descriptionPublished: December 2017en
dc.description.abstractIn this article we propose a novel methodology, which uses text similarity techniques to infer precise citations from the judgments of the Court of Justice of the European Union (CJEU), including their content. We construct a complete network of citations to judgments on the level of singular text units or paragraphs. By contrast to previous literature, which takes into account only explicit citations of entire judgments, we also infer implicit citations, meaning the repetitions of legal arguments stemming from past judgments without explicit reference. On this basis we can differentiate between different categories and modes of citations. The latter is crucial for assessing the actual legal importance of judgments in the citation network. Our study is an important methodological step forward in integrating citation network analysis into legal studies, which significantly enhances our understanding of European Union law and the decision making of the CJEU.en
dc.publisherIOS Pressen
dc.titleGiving every case its (legal) due : the contribution of citation networks and text similarity techniques to legal studies of European Union lawen
dc.typeContribution to booken
dc.rights.licenseAttribution-NonCommercial 4.0 International*

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Except where otherwise noted, this item's license is described as Attribution-NonCommercial 4.0 International