Overview and Problem Statement
Argumentation, and computational argument mining, are popular topics at the intersection of computer science and linguistics. Argument mining is concerned with the automated extraction of argumentative phrases from text documents: claims and premises, the stance of arguments, and attack- and support-relations between arguments.
Typical results of argument mining are large, tree-like structures. As such, they are difficult to interpret and analyse due to their size. Visual Analytics can help to make these structures explorable, and guide users in their argumentation analysis. An integral part of such systems are visualizations that show how the arguments are connected and relate them to the underlying original text.
- Scope: Master
- 6 Month Project, 6 Month Thesis
- Start: immediately