M.Sc.

M.Sc. Sabine Wehnert
Fakultät für Informatik (FIN)
Institut für Technische und Betriebliche Informationssysteme (ITI)
Institut für Technische und Betriebliche Informationssysteme (ITI)
Universitätsplatz 2,
39106, Magdeburg,
G29-105
Es wurde keine Person definiert.
2019
- Sabine Wehnert, Gabriel Campero Durand,
and Gunter Saake.
ERST:
Leveraging Topic Features for Context-Aware Legal Reference
Linking.
In Michał Araszkiewicz and Víctor Rodríguez-Doncel, editors,
Legal Knowledge and Information Systems, volume 322 of
Frontiers in Artificial Intelligence and Applications, pages 113
–122. IOS Press, December 2019.
- 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
- Sabine Wehnert, David Broneske, Stefan
Langer, and Gunter Saake.
Concept Hierarchy
Extraction from Legal Literature.
In Proceedings of the CIKM 2018 Workshops, volume 2482.
CEUR-WS.org, October 2018.
(PDF)
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
2019
- 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.
- Natural Language Processing
- Legal Artificial Intelligence
- Information Retrieval
- Recommender Systems