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 assistance.
In this seminar, students will learn about basic and state-of-the-art techniques 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.
Based on a few introductory lectures, each participant will choose a sophisticated topic from recent research. For this topic, knowledge from different literature has to be acquired and presented, first in a short outline talk and later in a longer research talk. In addition, the topic has to be summarized and discussed in detail in a paper-like article.