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arXiv · 1805.04715

Unsupervised Semantic Frame Induction using Triclustering

Dmitry Ustalov·Alexander Panchenko·Andrei Kutuzov·Chris Biemann·Simone Paolo Ponzetto
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Abstract

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.

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Dmitry Ustalov, Alexander Panchenko, Andrei Kutuzov, Chris Biemann, Simone Paolo Ponzetto. 2018-05-18. Unsupervised Semantic Frame Induction using Triclustering. https://doi.org/10.18653/v1%2Fp18-2010

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