HUMAN-CENTRED

ARTIFICIAL INTELLIGENCE

• • Natural language processing
  • Legal artificial intelligence
  • Information retrieval

  • Empfehlungssysteme

2022

• Viju Sudhi, Sabine Wehnert, Norbert Michael Homner, Sebastian Ernst, Mark Gonter, Andreas Krug, Ernesto William De Luca:
  BiTe-REx: An Explainable Bilingual Text Retrieval System in the Automotive Domain. SIGIR 2022: 3251-3255
   
• Sabine Wehnert, Shipra Dureja, Libin Kutty, Viju Sudhi, Ernesto William De Luca:
  Applying BERT Embeddings to Predict Legal Textual Entailment. Rev. Socionetwork Strateg. 16(1): 197-219 (2022)
   

2021

• Erasmo Purificato, Sabine Wehnert, Ernesto William De Luca: Dynamic Privacy-Preserving Recommendations on Academic Graph Data. Comput. 10(9): 107 (2021)
   
• Sabine Wehnert, Christian Scheel, Simona Szakács-Behling, Maret Nieländer, Patrick Mielke, Ernesto William De Luca: HOTTER: Hierarchical Optimal Topic Transport with Explanatory Context Representations. EMNLP (Findings) 2021: 4856-4866
   
• 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.
   
• Sabine Wehnert, Viju Sudhi, Shipra Dureja, Libin Kutty, Saijal Shahania, Ernesto William De Luca: Legal norm retrieval with variations of the bert model combined with TF-IDF vectorization. ICAIL 2021: 285-294
   
• Sabine Wehnert: HONto: A Bottom-Up Knowledge Base from Textbooks for Recommending Contextually Relevant Documents. SIGIR 2021: 2703.

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

• Sabine Wehnert, David Broneske, Stefan Langer, und Gunter Saake. Concept Hierarchy Extraction from Legal Literature . In Proceedings of the CIKM 2018 Workshops , Volume 2482. CEUR-WS.org, Oktober 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, 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.