{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,14]],"date-time":"2026-01-14T01:21:42Z","timestamp":1768353702215,"version":"3.49.0"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643683645","type":"print"},{"value":"9781643683652","type":"electronic"}],"license":[{"start":{"date-parts":[[2022,12,5]],"date-time":"2022-12-05T00:00:00Z","timestamp":1670198400000},"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":[[2022,12,5]]},"abstract":"<jats:p>Legal text summarization is generally formalized as an extractive text summarization task applied to court decisions from which the most relevant sentences are identified and returned as a gist meant to be read by legal experts. However, such summaries are not suitable for laymen seeking intelligible legal information. In the scope of the JusticeBot, a question-answering system in French that provides information about housing law, we intend to generate summaries of court decisions that are, on the one hand, conditioned by a question-answer-decision triplet, and on the other hand, intelligible for ordinary citizens not familiar with legal documents. So far, our best model, a further pre-trained BARThez, achieves an average ROUGE-1 score of 37.7 and a deepened manual evaluation of summaries reveals that there is still room for improvement.<\/jats:p>","DOI":"10.3233\/faia220455","type":"book-chapter","created":{"date-parts":[[2022,12,9]],"date-time":"2022-12-09T11:51:19Z","timestamp":1670586679000},"source":"Crossref","is-referenced-by-count":6,"title":["Conditional Abstractive Summarization of Court Decisions for Laymen and Insights from Human Evaluation"],"prefix":"10.3233","author":[{"given":"Olivier","family":"Sala\u00fcn","sequence":"first","affiliation":[{"name":"RALI, DIRO, Universit\u00e9 de Montr\u00e9al"}]},{"given":"Aurore","family":"Troussel","sequence":"additional","affiliation":[{"name":"Cyberjustice Laboratory, Faculty of Law, Universit\u00e9 de Montr\u00e9al"}]},{"given":"Sylvain","family":"Longhais","sequence":"additional","affiliation":[{"name":"Cyberjustice Laboratory, Faculty of Law, Universit\u00e9 de Montr\u00e9al"}]},{"given":"Hannes","family":"Westermann","sequence":"additional","affiliation":[{"name":"Cyberjustice Laboratory, Faculty of Law, Universit\u00e9 de Montr\u00e9al"}]},{"given":"Philippe","family":"Langlais","sequence":"additional","affiliation":[{"name":"RALI, DIRO, Universit\u00e9 de Montr\u00e9al"}]},{"given":"Karim","family":"Benyekhlef","sequence":"additional","affiliation":[{"name":"Cyberjustice Laboratory, Faculty of Law, Universit\u00e9 de Montr\u00e9al"}]}],"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\/FAIA220455","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,9]],"date-time":"2022-12-09T11:51:21Z","timestamp":1670586681000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA220455"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,5]]},"ISBN":["9781643683645","9781643683652"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia220455","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,12,5]]}}}