We use dependency triples automatically extracted from a Web-scale corpus to
perform unsupervised semantic frame induction. We cast the frame induction
problem as a triclustering problem that is a generalization of clustering for
triadic data. Our replicable benchmarks demonstrate that the proposed
graph-based approach, Triframes, shows state-of-the art results on this task on
a FrameNet-derived dataset and performing on par with competitive methods on a
verb class clustering task.