{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,7]],"date-time":"2026-01-07T08:01:47Z","timestamp":1767772907942,"version":"3.30.1"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643685625","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,12,5]],"date-time":"2024-12-05T00:00:00Z","timestamp":1733356800000},"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":[[2024,12,5]]},"abstract":"<jats:p>The task of legal precedent retrieval is essential yet challenging for legal professionals, as it involves identifying relevant past cases that can inform current legal decisions. Building on previous work that integrates citation networks and text similarity analysis, we apply these techniques to a dataset comprising paragraphs from cases decided by the Court of Justice of the European Union (CJEU). While paragraph citation retrieval is way more challenging than case citation retrieval, we show that a careful combination of network and text signals improves computational efficiency without sacrificing performances. More precisely, our experiments first reveal the limitations of network analysis at the paragraph level due to the sparse connectivity of the data. We then explore a novel approach to this task by combining network analysis at the case level and natural language processing at the paragraph level, which we refer to as \u201cpincites\u201d.<\/jats:p>","DOI":"10.3233\/faia241256","type":"book-chapter","created":{"date-parts":[[2024,12,6]],"date-time":"2024-12-06T00:00:56Z","timestamp":1733443256000},"source":"Crossref","is-referenced-by-count":1,"title":["Combining Network and Text to Provide Legal Pincites"],"prefix":"10.3233","author":[{"given":"Nicolas","family":"Garneau","sequence":"first","affiliation":[{"name":"Computer Science Department, University of Copenhagen"}]},{"given":"Henrik","family":"Palmer Olsen","sequence":"additional","affiliation":[{"name":"University of Copenhagen and University of Bergen"}]},{"given":"Antoine","family":"Corduant","sequence":"additional","affiliation":[{"name":"Universit\u00e9 Paris-Saclay, CNRS, ENS Paris-Saclay, ISP, France"}]},{"given":"Fabien","family":"Tarissan","sequence":"additional","affiliation":[{"name":"Universit\u00e9 Paris-Saclay, CNRS, ENS Paris-Saclay, ISP, France"}]}],"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\/FAIA241256","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,6]],"date-time":"2024-12-06T00:00:57Z","timestamp":1733443257000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA241256"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,5]]},"ISBN":["9781643685625"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia241256","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12,5]]}}}