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Auflistung nach Autor:in "Schomacker, Thorben"

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  • Konferenzbeitrag
    6. Fachtagung Rechts- und Verwaltungsinformatik (RVI 2023) - Komplettband
    (6. Fachtagung Rechts- und Verwaltungsinformatik (RVI 2023), 2023) Auth, Gunnar; Pidun, Tim; Rehbohm, Thomas; Moses, Frank; Di Maria, Marco; Bierschwale, Daniel; Steuck, Paul-Ferdinand; Knackstedt, Ralf; Richter, Dankel; Krauß, Anna-Magdalena; Ebert, Sarah; Handke, Stefan; Mehner, Caroline; Fernholz, Yannick; Fabian, Benjamin; Ermakova, Tatiana; Prilop, Michael; Maicher, Lutz; Müller, Dirk; Luger, Katharina; Schmittwilken, Jörg; Bierschwale, Daniel; Steuck, Paul-Ferdinand; Knackstedt, Ralf; von Lucke, Jörn; Fitsilis, Fotios; Gille, Michael; Schomacker, Thorben; von der Hülls, Jörg; Tropmann-Frick, Marina
  • Textdokument
    Automatic German Easy Language (Leichte Sprache) Simplification: Data, Requirements and Approaches
    (DC@KI2023: Proceedings of Doctoral Consortium at KI 2023, 2023) Schomacker, Thorben
    With the rise of the internet, it has become convenient and often free to access an abundance of texts. However, not all people, who have access, can really read and understand the texts. Despite the fact that, they speak the language that the text is written in. Most often this problem originates in the too complex nature of the texts. Text Simplification can help to overcome this barrier. In my dissertation, I want to specially focus on Leichte Sprache (German Easy Language). Which is a simplified version of German, that is tailored to the needs of people with cognitive disabilities.
  • Konferenzbeitrag
    Der Einsatz von Neural Language Models für eine barrierefreie Verwaltungskommunikation: Anforderungen an die automatisierte Vereinfachung rechtlicher Informationstexte
    (6. Fachtagung Rechts- und Verwaltungsinformatik (RVI 2023), 2023) Gille, Michael; Schomacker, Thorben; von der Hülls, Jörg; Tropmann-Frick, Marina
    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.