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Projekte im Promotionskolleg:
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Hybrid AI-Approaches to Natural Language Processing for generating mandatory legal documentation to address the demographically induced lack of knowledge workers

Hybrid AI-based natural language processing (NLP) systems employ a combination of symbolic and sub-symbolic artificial intelligence (AI) to automate legal documentation. This approach addresses labor shortages and regulatory complexity, while enhancing accuracy, efficiency, and adaptability.

Projektverantwortliche: 
Sarah Dreher

Mitglied im Verbundkolleg:  Januar 2025

Betreuender Hochschule Neu-Ulm:
Prof. Dr. Philipp Brune

Betreuende Hochschule Amberg-Weiden:
Prof. Dr.-Ing. Eva Rothgang

Sarah Dreher

sarah.dreher@hnu.de

Hochschule Neu-Ulm
Projekt:
Hybrid AI-Approaches to Natural Language Processing for generating mandatory legal documentation to address the demographically induced lack of knowledge workers ​

Publikationen:

‚Applying Transfer Testing to Identify Annotation Discrepancies in Facial Emotion Data Sets ‚.

Dreher, Sarah and Gebele, Jens and Brune,Phillip(2023)

In:

Proceedings of the 9th International Conference on Mobile, Secure and Programmable Networking – MSPN / Bouzeframe, S. et al. (Eds). Paris: Springer, pp. 157-174. (Lecture Notes in Computer Science; 14482). 

ISBN 9783031524264