English: "Our debate generation framework. We begin with debate trees on the far left, from which we extract all paths through the tree which correspond to meaningful debates, creating a dataset in the central bubble. On the far right, this new dataset is used to retrain an existing model to debate. In this paper, the retrained model is the one developed by Fan et al. (2018). In our diagram, each green bubble supports the point above it, while each red bubble argues against the point above it."