Unsupervised Semantic Frame Induction using Triclustering
University of Mannheim（曼海姆大学）；University of Oslo（奥斯陆大学）；University of Hamburg（汉堡大学）
英文摘要：
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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