معرفی
Dr. Jonathan Kobbe is a Researcher at the University of Mannheim's Data and Web Science Group. His work focuses on knowledge-enhanced argument analysis, combining formal argumentation systems with background knowledge and moral values. He is involved in the DFG-funded ExpLAIN project exploring explanation generation in argumentation reasoning. Kobbe has extensive teaching experience, having led tutorials for courses like Industrial Applications of AI, Network Analysis, and Formal Foundations of Computer Science.
His research interests include natural language processing (NLP), ethical AI, and knowledge graphs. Notable projects involve integrating moral values into argumentation frameworks and developing systems for unsupervised stance detection and effect relation extraction. His work bridges computational linguistics with formal reasoning systems to improve structured explanations in argument analysis.
Key contributions include advancing argumentative relation classification using background knowledge and exploring ethical dimensions in AI through knowledge graph applications. His research spans both theoretical advancements in argumentation frameworks and practical NLP applications.
Active in academic collaborations, Kobbe has published in top venues like Computational Models of Argument (COMMA) and the International Workshop on Lexical and Computational Semantics. His current work emphasizes explainability in AI systems and robust argumentation machines under the RATIO priority program.
