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://aclanthology.org/P18-2010
- DOI:
- 10.18653/v1/P18-2010
- Cite (ACL):
- Dmitry Ustalov, Alexander Panchenko, Andrey Kutuzov, Chris Biemann, and Simone Paolo Ponzetto. 2018. Unsupervised Semantic Frame Induction using Triclustering. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 55–62, Melbourne, Australia. Association for Computational Linguistics.
- Cite (Informal):
- Unsupervised Semantic Frame Induction using Triclustering (Ustalov et al., ACL 2018)
- PDF:
- https://preview.aclanthology.org/starsem-semeval-split/P18-2010.pdf
- Code
- uhh-lt/triframes
- Data
- FrameNet