M.Sc.

M.Sc. Sabine Wehnert

Fakultät für Informatik (FIN)
Institut für Technische und Betriebliche Informationssysteme (ITI)
Universitätsplatz 2, 39106, Magdeburg, G29-105
Vita
  • Seit Dezember 2017: wissenschaftliche Mitarbeiterin, Otto-von-Guericke-Universität Magdeburg
  • 2014 - 2017: Master of Science in Wirtschaftsinformatik, Otto-von-Guericke-Universität Magdeburg
  • 2011 - 2014: Bachelor of Science in International Management, Otto-von-Guericke-Universität Magdeburg
Publikationen
  • Sabine Wehnert, Sayed Anisul Hoque, Wolfram Fenske, and 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, and Gunter Saake. Context Selection in a Heterogeneous Legal Ontology. In Holger Meyer, Norbert Ritter, Andreas Thor, Daniela Nicklas, Andreas Heuer, and Meike Klettke, editors, BTW 2019 – Workshopband, volume P-290 of Lecture Notes in Informatics (LNI), pages 129–134. Gesellschaft für Informatik, March 2019.
     
  • Roman Zoun, Kay Schallert, David Broneske, Sören Falkenberg, Robert Heyer, Sabine Wehnert, Sven Brehmer, Dirk Benndorf, and 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-University 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.
     

Betreute Arbeiten


  • 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 of Magdeburg, May 2019.
     
  • Gaurav Sharma. Adaptive Incremental Final Testing for Fault Diagnosis in Automotive Manufacturing. Master's thesis, University of Magdeburg, April 2019.
     
  • Sayed Anisul Hoque. Deep Model Learning for Recognizing Legal Textual Entailment Using a Stacked Encoder Network. Master's thesis, University of Magdeburg, February 2019.
     

 

Forschung
  • Natural Language Processing
  • Legal Artificial Intelligence
  • Information Retrieval
  • Recommender Systems

Letzte Änderung: 19.12.2017 - Ansprechpartner:

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