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 December 2017: External PhD student , 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
Publications

 

2022


2021


2019


    • Sabine Wehnert, Gabriel Campero Durand, und Gunter Saake. ERST: Leveraging Topic Features for Context-Aware Legal Reference Linking . In Michał Araszkiewicz und Víctor Rodríguez-Doncel, Editors, Legal Knowledge and Information Systems , Volume 322 of Frontiers in Artificial Intelligence and Applications , Seiten 113–122. IOS Press, December 2019.
       
    • Sabine Wehnert, Sayed Anisul Hoque, Wolfram Fenske, und Gunter Saake. Threshold-Based Retrieval and Textual Entailment Detection on Legal Bar Exam Questions . arXiv preprint arXiv: 1905.13350 , June 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

 

  • Viju Sudhi. Explainable Bilingual Text Retrieval in the Automotive Domain, April 2022.
     
  • Sachin Nandakumar. Exploring Authenticity Modulation in Text Using a Transformer-based Seq2Seq Network, July 2021.
     
  • Rakesh Devalapally. Towards Safer Service Usage through AI-based Flagging and Categorization of Terms of Services, May 2021.
     
  • 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. Explainable Bilingual Text Retrieval in the Automotive Domain, January 2020.
     
  • Alishiba Florian D'souza. Dictionary-Based Cross-Lingual Information Retrieval for Legal Text, January 2020.
  • Balachandra Palimar Pai. Content-Based Recommender System For Legal and Scientific texts using Embeddings. Master's thesis, University of Magdeburg, May 2019.
     
  • Jay Vala. Classification of Multilingual Legal Text Using Deep Learning: Evaluation of General-Purpose Resources for Legal Domain-Specific Task . Master's thesis, University 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.
     

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