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.

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. This document contains supplementary …