The input to the model are instances of arguments (e.g., window, the burglar in sentence (1)) and the output is a grouping of these instances into clusters such that each cluster contains arguments corresponding to a specific semantic role and each role corresponds to exactly one cluster.
dimensionality reduction was performed by the t-SNE library.