im Verbundkolleg seit: Januar 2025

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

Sarah Dreher

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.

Erstbetreuer: Prof. Dr. Philipp Brune (HNU)

Zweitbetreuer: Prof. Dr.-Ing. Eva Rothgang (OTH Amberg-Weiden)

Sarah Dreher

E-Mail: sarah.dreher@hnu.de

OTH Amberg-Weiden

Weitere 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

Link: https://publications.hnu.de/5091/