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)
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