Unsupervised semantic frame induction using triclustering

Ustalov, Dmitry ; Panchenko, Alexander ; Kutuzov, Andrei ; Biemann, Chris ; Ponzetto, Simone Paolo

ACL_2018_Triframes.pdf - Published

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URL: https://madoc.bib.uni-mannheim.de/44572
Additional URL: http://www.coli.uni-saarland.de/~ashutosh/papers/n...
URN: urn:nbn:de:bsz:180-madoc-445724
Document Type: Conference or workshop publication
Year of publication: 2018
Book title: The 56th Annual Meeting of the Association for Computational Linguistics : ACL 2018 : proceedings of the conference, vol. 2 (short papers) : July 15 - 20, 2018 Melbourne, Australia
Page range: 55-62
Conference title: 56th Annual Meeting of the Association for Computational Linguistics
Location of the conference venue: Melbourne, Australia
Date of the conference: July 15-20, 2018
Publisher: Cohen, Shay
Place of publication: Stroudsburg, PA
Publishing house: Association for Computational Linguistics
ISBN: 978-1-948087-34-6
Related URLs:
Publication language: English
Institution: School of Business Informatics and Mathematics > Information Systems III: Enterprise Data Analysis (Ponzetto 2016-)
License: CC BY 4.0 Creative Commons Attribution 4.0 International (CC BY 4.0)
Subject: 004 Computer science, internet
420 English
510 Mathematics
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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