Unsupervised Semantic Frame Induction using Triclustering

Dmitry Ustalov, Alexander Panchenko, Andrey Kutuzov, Chris Biemann, Simone Paolo Ponzetto


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.
Anthology ID:
P18-2010
Volume:
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
Month:
July
Year:
2018
Address:
Melbourne, Australia
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
55–62
Language:
URL:
https://www.aclweb.org/anthology/P18-2010
DOI:
10.18653/v1/P18-2010
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PDF:
http://aclanthology.lst.uni-saarland.de/P18-2010.pdf
Note:
 P18-2010.Notes.pdf
Poster:
 P18-2010.Poster.pdf