Visualising Argumentation Graphs with Graph Embeddings and t-SNE
This work addresses visualization challenges for researchers in computational argumentation, but it is incremental as it adapts existing techniques to a new domain.
The paper tackled the problem of visualizing argumentation graphs by applying t-SNE to graph embeddings from various methods, showing that this approach can reveal structural properties and enable further research in the area.
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.