Argumentation is an integral part of both professional and everyday communication. Whenever a topic or question is subject to controversy, people consider arguments to form opinions, to make decisions, or to convince others of a certain stance. In the last years, the computational analysis and synthesis of natural language argumentation has become an emerging research area, due to its importance for the next generation of web search engines and intelligent personal assistants.
In this master seminar, students will learn about basic and state-of-the-art research in computational argumentation, ranging from the mining of arguments from natural language text over the assessment of argumentation quality to the retrieval of arguments in web search.
The seminar starts with an introduction to the basics of computational argumentation and the main research topics in the field the Webis group is working on. Later on, each student chooses a focused research topic from the field, gives a short and a long talk on the topic, and summarizes the topic in a scientific paper-like article. The short talk should give an outline of the topic, while the long talk should go into depth and discuss the topic in details. The article represents a written form of the long talk.