Sabine Wehnert

Research Assistant

M.Sc. Sabine Wehnert

Institut für Technische und Betriebliche Informationssysteme (ITI)
AG Human-Centred Artificial Intelligence
Universitätsplatz 2, 39106, Magdeburg, G29-001
Vita
  • Since March 2020: External PhD student @ AG HCAI, Otto von Guericke University Magdeburg
  • 2018 -2020: PhD student @ AG DBSE, Otto von Guericke University Magdeburg
  • 2014 - 2017: Master of Science in Information Systems , Otto von Guericke University Magdeburg
  • 2011 - 2014: Bachelor of Science in International Management , Otto von Guericke University Magdeburg
Research
  • Natural Language Processing
  • Legal Artificial Intelligence
  • Information Retrieval
  • Recommender Systems
  • Human-Centered Design
  • Human-Centered AI 
Publications

 

2025


2024


2023


2022


2021


  • Sabine Wehnert, Ernesto William De Luca. Finding Implicit Links Between Norms Using HONto. In Proceedings of the First International Workshop RELATED ‑ Relations in the Legal Domain 2021 co‑located with the Eighteenth International Conference on Artificial Intelligence and Law (ICAIL), pp. 44‑52, 2021.
     

2019


  • Sabine Wehnert, Wolfram Fenske, und Gunter Saake. Context Selection in a Heterogeneous Legal Ontology . In Holger Meyer, Norbert Ritter, Andreas Thor, Daniela Nicklas, Andreas Heuer, und Meike Klettke, Editors, BTW 2019 - Workshopband , Volume P-290 of Lecture Notes in Informatics (LNI) , Seiten 129–134. Gesellschaft für Informatik, March 2019.
     
  • Roman Zoun, Kay Schallert, David Broneske, Sören Falkenberg, Robert Heyer, Sabine Wehnert, Sven Brehmer, Dirk Benndorf, und Gunter Saake. MStream: Proof of Concept of an Analytic Cloud Platform for Near-Real-Time Diagnostics using Mass Spectrometry Data . 002-2019, Otto-von-Guericke-Universität Magdeburg, 2019. 

2018


2017


  • Sabine Wehnert. Developing a Machine Learning Design for Information Detection and Relevance Recognition in Online Media . Master's thesis, Otto von Guericke Universität Magdeburg, December 2017.

Supervised work


  • Preetam Vinod Naik. Enhancing Robustness in Legal Textual Entailment through Artefact Detection and Model Based Mitigation, February 2025.

  • Anustup Das. A Semi-Supervised Approach Towards more Human-Interpretable Topic Model with Differential Evolutionary Algorithms, March 2021.

  • Prabal Bansal. Marketing Text Generation based on Context and Personality Trait, September 2020.

  • Adarsh Garakahally Sridhar. A Machine Learning-Driven Test Specification - Analysis to Support Test Automation, January 2020.

  • Balachandra Palimar Pai. Content-Based Recommender System For Legal and Scientific texts using Embeddings. Master's thesis, University of Magdeburg, May 2019.

  • Gaurav Sharma. Adaptive Incremental Final Testing for Fault Diagnosis in Automotive Manufacturing. Master's thesis, University Magdeburg, April 2019.

  • Sayed Anisul Hoque. Deep Model Learning for Recognizing Legal Textual Entailment Using a Stacked Encoder Network. Master's thesis, University Magdeburg, February 2019.

     

Last Modification: 02.03.2025 - Contact Person: Webmaster