Yamen Ajjour is using natural language processing methods to analyze controversies on a large data scale. Before moving to Leibniz University Hannover, he conducted research in computational argumentation that is motivated by use cases such as decision support. His Ph.D. thesis targets developing methods to address controversial topics in search engines. His research contributions are mainly in mining arguments from natural text and modeling frames in argumentative text.