Publisher DOI: | 10.18420/rvi2023-013 | Title: | Der Einsatz von Neural Language Models für eine barrierefreie Verwaltungskommunikation : Anforderungen an die automatisierte Vereinfachung rechtlicher Informationstexte | Language: | German | Authors: | Gille, Michael Schomacker, Thorben von der Hülls, Jörg Tropmann-Frick, Marina |
Editor: | Auth, Gunnar Pidun, Tim |
Keywords: | Text simplification; Transformer; AI Regulation; Leichte Sprache; DIN SPEC 33429 | Issue Date: | 13-Nov-2023 | Publisher: | Gesellschaft für Informatik e.V. | Part of Series: | 6. Fachtagung Rechts- und Verwaltungsinformatik (RVI 2023) : 26. und 27. Oktober 2023, Dresden, Deutschland | Journal or Series Name: | GI-Edition | Volume: | 341 | Startpage: | 144 | Endpage: | 158 | Conference: | Fachtagung Rechts- und Verwaltungsinformatik 2023 | Abstract: | Machine-learning-based text simplification can be used to meet legal obligations to provide comprehensibility-enhanced public service texts. The article examines the use of artificial intelligence for public administration communication in rule-based easy language. The authors outline essential technical, legal and normative requirements for the development and use of automated text simplification through neural language generation. As part of the Open-LS research project, a contribution is made to clarifying the possibilities and limits of the use of artificial intelligence systems for text simplification in public services. |
URI: | https://hdl.handle.net/20.500.12738/16743 | ISBN: | 978-3-88579-735-7 3-88579-735-6 |
ISSN: | 1617-5468 | Review status: | This version was reviewed (alternative review procedure) | Institute: | Department Wirtschaft Fakultät Wirtschaft und Soziales Department Informatik Fakultät Technik und Informatik |
Type: | Chapter/Article (Proceedings) |
Appears in Collections: | Publications without full text |
Show full item record
Add Files to Item
Note about this record
Export
This item is licensed under a Creative Commons License