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.
翻译:本文将深神经网络研究中熟悉的一种直观技术T-SNE应用于引言图,将它应用到以几种不同方法生成的图形嵌入输出中。 它表明,这种直观方法可以用于论证,并显示引言图的有趣的结构属性,为该地区进一步的研究开辟道路。