Date: 2017
Type: Contribution to book
Giving every case its (legal) due : the contribution of citation networks and text similarity techniques to legal studies of European Union law
Adam 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. 59-68
PANAGIS, Yannis, SADL, Urska, TARISSAN, Fabien, Giving every case its (legal) due : the contribution of citation networks and text similarity techniques to legal studies of European Union law, in Adam 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. 59-68
- https://hdl.handle.net/1814/76575
Retrieved from Cadmus, EUI Research Repository
In 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.
Additional information:
Published: December 2017
Cadmus permanent link: https://hdl.handle.net/1814/76575
Full-text via DOI: 10.3233/978-1-61499-838-9-59
ISBN: 9781614998372; 9781614998389
ISSN: 0922-6389; 1879-8314
Publisher: IOS Press
Files associated with this item
- Name:
- Giving_every_2017.pdf
- Size:
- 392.5Kb
- Format:
- Description:
- Full-text in Open Access, Published ...