  This paper applies t-SNE, a visualisation technique familiar from Deep Neural
Network research to argumentation graphs by applying it to the output of graph
embeddings generated using several different methods. It shows that such a
visualisation approach can work for argumentation and show interesting
structural properties of argumentation graphs, opening up paths for further
research in the area.
