HUMAN-CENTRED

ARTIFICIAL INTELLIGENCE

2025

• Sabine Wehnert, Muhammet Ertas, Ernesto William De Luca: Analyzing Bias in Swiss Federal Supreme Court Judgments Using Facebook's Holistic Bias Dataset: Implications for Language Model Training. arXiv preprint arXiv:2501.03324 (2025)

2024

• Sabine Wehnert, Ernesto William De Luca: Building Applications with Purpose: Bridging Human-Centered Design and Human-Centered Artificial Intelligence in Legal Tech with the Double Diamond. Legal Knowledge and Information Systems 2024: 352-358

• Sabine Wehnert, Pramod Kumar Bontha, Kilian Lüders, Bent Stohlmann, Ernesto William De Luca: TENJI: A Textbook Entity Network and Jurisprudence Interface. Legal Knowledge and Information Systems 2024: 398-400 

• Sabine Wehnert, Visakh Padmanabhan, Ernesto William De Luca: LUMI: Legal Understanding and Matching Through Interactive Highlighting. Legal Knowledge and Information Systems 2024: 401-403

• Sabine Wehnert, Visakh Padmanabhan, Ernesto William De Luca: Hybrid Legal Norm Retrieval: Leveraging Knowledge Graphs and Textual Representations. Legal Knowledge and Information Systems 2024: 191-203

• Sabine Wehnert, Manuel Fiorelli, Davide Picca, Ernesto William De Luca, Armando Stellato: LIRAI'24: 2nd Workshop on Legal Information Retrieval meets Artificial Intelligence. Proc. 35th ACM Conf. on Hypertext and Social Media 2024: 390-392

• Sabine Wehnert, Venkatesh Murugadas, Preetam Vinod Naik, Ernesto William De Luca: Improving robustness in language models for legal textual entailment through artifact-aware training. JSAI International Symposium on Artificial Intelligence 2024: 228-244 

• Sabine Wehnert, Praneeth Chedella, Jonas Asche, Ernesto William De Luca: A dynamic approach for visualizing and exploring concept hierarchies from textbooks. Front. Artif. Intell. 7: 1285026 (2024)

2023

• Sabine Wehnert, Libin Kutty, Ernesto William De Luca: Using Textbook Knowledge for Statute Retrieval and Entailment Classification. New Frontiers in Artificial Intelligence: JSAI-isAI 2022 Workshop, JURISIN 2022, and JSAI 2022 International Session 2023: 125-137

• Sabine Wehnert, Erasmo Purificato, Ernesto William De Luca: A Usability Study of a Research Institute Website with Eye-Tracking Devices. International Conference on Human-Computer Interaction 2023: 702-711

• Erasmo Purificato, Sabine Wehnert, Ernesto William De Luca: Usability Studies in Times of Pandemic: Different Solutions for the Remote Usability Tests of Research Digital Tools. International Conference on Human-Computer Interaction 2023: 666-673 

• Ernesto William De Luca, Manuel Fiorelli, Davide Picca, Armando Stellato, Sabine Wehnert: Legal Information Retrieval meets Artificial Intelligence (LIRAI). Proc. 34th ACM Conf. on Hypertext and Social Media 2023: 1-4

• Sabine Wehnert: Justifiable artificial intelligence: Engineering large language models for legal applications. arXiv preprint arXiv:2311.15716 (2023)

• Sabine Wehnert, Davide Picca, Ernesto William De Luca: Mining Sentiment and Subjectivity in Swiss Case Law. LIRAI@ HT 2023: 77-90

• Kevin Bönisch, Giuseppe Abrami, Sabine Wehnert, Alexander Mehler: Bundestag-mine: Natural language processing for extracting key information from government documents. Legal Knowledge and Information Systems 2023: 391-394

• Sabine Wehnert, Manuel Fiorelli, Davide Picca, Ernesto William De Luca, Armando Stellato: Summary of the Workshop Legal Information Retrieval meets Artificial Intelligence (LIRAI 2023). CEUR-WS 2023: 

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 

• Preetam Vinod Naik. Enhancing Robustness in Legal Textual Entailment through Artefact Detection and Model Based Mitigation, February 2025.

• Jeffy Elson. MediClaim: Developing a Dataset for Automated Fact Checking and Evidence-Based Veracity Prediction for Medical Claims, November 2024.

• Muhammet Ertaş. Fairness und Bias in Schweizer Gerichtsurteilen: Eine Untersuchung mittels Data Mining, Word Embeddings und Transformer-Modellen, July 2024

• Huu Huong Giang Nguyen. Human-Centred Design Approach to Enhance a Concept Hierarchy Visualisation Prototype, March 2024

• Praneeth Chedella. A Dynamic Approach for Visualizing and Exploring Concept Hierarchies in Textbooks, October 2023.

• Libin Johnny Kutty. Continual Lifelong Learning for NLP-based Requirement Classification, March 2023.

• 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. A Machine Learning-Driven Test Specification - Analysis to Support Test Automation, January 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.