{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T23:37:25Z","timestamp":1761176245568,"version":"build-2065373602"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643686318","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,10,21]],"date-time":"2025-10-21T00:00:00Z","timestamp":1761004800000},"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":[[2025,10,21]]},"abstract":"<jats:p>Ensuring accessibility for individuals with cognitive impairments is essential for autonomy, self-determination, and full citizenship. However, manual Easy-to-Read (ETR) text adaptations are slow, costly, and difficult to scale, limiting access to crucial information in healthcare, education, and civic life. AI-driven ETR generation offers a scalable solution but faces key challenges, including dataset scarcity, domain adaptation, and balancing lightweight learning of Large Language Models (LLMs). In this paper, we introduce ETR-fr, the first dataset for ETR text generation fully compliant with European ETR guidelines. We implement parameter-efficient fine-tuning on PLMs and LLMs to establish generative baselines. To ensure high-quality and accessible outputs, we introduce an evaluation framework based on automatic metrics supplemented by human assessments. The latter is conducted using a 36-question evaluation form that is aligned with the guidelines. Overall results show that PLMs perform comparably to LLMs and adapt effectively to out-of-domain texts. Code and datasets are available at https:\/\/github.com\/FrLdy\/ETR-fr.<\/jats:p>","DOI":"10.3233\/faia251224","type":"book-chapter","created":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T09:55:09Z","timestamp":1761126909000},"source":"Crossref","is-referenced-by-count":0,"title":["Inclusive Easy-to-Read Text Generation for Individuals with Cognitive Impairments"],"prefix":"10.3233","author":[{"given":"Fran\u00e7ois","family":"Ledoyen","sequence":"first","affiliation":[{"name":"Universit\u00e9 Caen Normandie, ENSICAEN, CNRS, Normandie Univ, GREYC UMR 6072, F-14000 Caen, France"},{"name":"Koena SAS, F-31450 Fourquevaux, France"}]},{"given":"Ga\u00ebl","family":"Dias","sequence":"additional","affiliation":[{"name":"Universit\u00e9 Caen Normandie, ENSICAEN, CNRS, Normandie Univ, GREYC UMR 6072, F-14000 Caen, France"}]},{"given":"Alexis","family":"Lechervy","sequence":"additional","affiliation":[{"name":"Universit\u00e9 Caen Normandie, ENSICAEN, CNRS, Normandie Univ, GREYC UMR 6072, F-14000 Caen, France"}]},{"given":"J\u00e9r\u00e9mie","family":"Pantin","sequence":"additional","affiliation":[{"name":"Universit\u00e9 Caen Normandie, ENSICAEN, CNRS, Normandie Univ, GREYC UMR 6072, F-14000 Caen, France"}]},{"given":"Fabrice","family":"Maurel","sequence":"additional","affiliation":[{"name":"Universit\u00e9 Caen Normandie, ENSICAEN, CNRS, Normandie Univ, GREYC UMR 6072, F-14000 Caen, France"}]},{"given":"Youssef","family":"Chahir","sequence":"additional","affiliation":[{"name":"Universit\u00e9 Caen Normandie, ENSICAEN, CNRS, Normandie Univ, GREYC UMR 6072, F-14000 Caen, France"}]},{"given":"Elisa","family":"Gouzonnat","sequence":"additional","affiliation":[{"name":"Universit\u00e9 Caen Normandie, CRISCO UR 4255, F-14000 Caen, France"}]},{"given":"M\u00e9lanie","family":"Berthelot","sequence":"additional","affiliation":[{"name":"Universit\u00e9 Caen Normandie, CRISCO UR 4255, F-14000 Caen, France"}]},{"given":"Stanislas","family":"Moravac","sequence":"additional","affiliation":[{"name":"Universit\u00e9 Caen Normandie, CRISCO UR 4255, F-14000 Caen, France"}]},{"given":"Armony","family":"Altinier","sequence":"additional","affiliation":[{"name":"Koena SAS, F-31450 Fourquevaux, France"}]},{"given":"Amy","family":"Khairalla","sequence":"additional","affiliation":[{"name":"Koena SAS, F-31450 Fourquevaux, France"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","ECAI 2025"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA251224","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T09:55:10Z","timestamp":1761126910000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA251224"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,21]]},"ISBN":["9781643686318"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia251224","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,10,21]]}}}