Publikationen

 

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, Dezember 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 , Juni 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, März 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, Dezember 2017.
       

Betreute Arbeiten 

    • 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, Juli 2021.
       
    • Rakesh Devalapally. Towards Safer Service Usage through AI-based Flagging and Categorization of Terms of Services, Mai 2021.
       
    • Anustup Das. A Semi-Supervised Approach Towards more Human-Interpretable Topic Model with Differential Evolutionary Algorithms, März 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, Januar 2020.
       
    • Alishiba Florian D'souza. Dictionary-Based Cross-Lingual Information Retrieval for Legal Text, Januar 2020.
       
    • Balachandra Palimar Pai. Content-Based Recommender System For Legal and Scientific texts using Embeddings. Masterarbeit, Universität of Magdeburg, Mai 2019.
       
    • Jay Vala. Classification of Multilingual Legal Text Using Deep Learning: Evaluation of General-Purpose Resources for Legal Domain-Specific Task . Masterarbeit, Universität Magdeburg, Mai 2019.
       
    • Gaurav Sharma. Adaptive Incremental Final Testing for Fault Diagnosis in Automotive Manufacturing. Masterarbeit, Universität Magdeburg, April 2019.
       
    • Sayed Anisul Hoque. Deep Model Learning for Recognizing Legal Textual Entailment Using a Stacked Encoder Network. Masterarebit, Universität Magdeburg, Februar 2019.
       

Letzte Änderung: 17.03.2023 - Ansprechpartner: Webmaster