{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,14]],"date-time":"2026-01-14T06:50:10Z","timestamp":1768373410746,"version":"3.49.0"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643684727","type":"print"},{"value":"9781643684734","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,12,7]],"date-time":"2023-12-07T00:00:00Z","timestamp":1701907200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,12,7]]},"abstract":"<jats:p>Case law citation prediction, i.e., predicting what historical cases are relevant for your current case, can assist legal discovery and decision-making, but legal documents are long, and often only parts of them are relevant for a particular use case. We therefore reframe case law citation prediction as a paragraph-to-paragraph citation task, introduce a new dataset, and train and evaluate new models. We also evaluate our models qualitatively. Our resources provide a first step toward discovering citation patterns and modeling legal rules in EU law from precedent documents.<\/jats:p>","DOI":"10.3233\/faia230982","type":"book-chapter","created":{"date-parts":[[2023,12,11]],"date-time":"2023-12-11T09:37:52Z","timestamp":1702287472000},"source":"Crossref","is-referenced-by-count":3,"title":["Re-Framing Case Law Citation Prediction from a Paragraph Perspective"],"prefix":"10.3233","author":[{"given":"Henrik","family":"Palmer Olsen","sequence":"first","affiliation":[{"name":"Faculty of Law, University of Copenhagen; Institut D\u2019\u00c9tudes Avanc\u00e9es de Paris"}]},{"given":"Nicolas","family":"Garneau","sequence":"additional","affiliation":[{"name":"Computer Science Department, University of Copenhagen"}]},{"given":"Yannis","family":"Panagis","sequence":"additional","affiliation":[{"name":"Faculty of Law, University of Copenhagen; Institut D\u2019\u00c9tudes Avanc\u00e9es de Paris"}]},{"given":"Johan","family":"Lindholm","sequence":"additional","affiliation":[{"name":"Faculty of Law, Ume\u00e5 University"}]},{"given":"Anders","family":"S\u00f8gaard","sequence":"additional","affiliation":[{"name":"Computer Science Department, University of Copenhagen"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Legal Knowledge and Information Systems"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA230982","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,12,11]],"date-time":"2023-12-11T09:37:53Z","timestamp":1702287473000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA230982"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,7]]},"ISBN":["9781643684727","9781643684734"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia230982","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,12,7]]}}}