Khalid Al-Khatib is a postdoc in the Web-Technology and Information Systems Group at the Bauhaus-Universität Weimar. His main research interests are argumentation mining, argumentation knowledge-graphs, and argument generation. In his PhD thesis about argumentation strategies, Khalid investigates questions such as: How do people argue on the Web? What are the strategies that people use to persuade others? Which strategies are the most successful ones in particular contexts? Khalid published more than 15 argumentation-related papers on top-tier venues including AAAI, ACL, EMNLP, and also serves on the respective program committees. He has been contributing to the development of the argument search engine 'args.me'. His current research is on the exploitation of argumentation graphs for argument generation. Khalid is one of the recipients of the IBM PhD Fellowship Award (2017).

My main research interests are Natural Language Processing and Computational Social Science.

I mainly work on:

• Argumentation Strategies.
• Domain-robust Argumentation Mining.
• Automatic Detection of Offensive Language.
• Knowledge Extraction from the web.

• WS 2015/16, Seminar: "Advanced Topics in Information Retrieval and Natural Language Processing;".
• SS 2015, Seminar: "Advanced Topics in Information Retrieval and Natural Language Processing"

IBM Ph.D. Fellowship Award 2017