A computational construction grammar approach to semantic frame extraction
Author:
Affiliation:
1. Artificial Intelligence Laboratory, Vrije Universiteit Brussel , Brussels , Belgium
2. ITEC, imec research group at KU Leuven , Kortrijk , Belgium
Abstract
Publisher
Walter de Gruyter GmbH
Subject
Linguistics and Language,Language and Linguistics
Link
https://www.degruyter.com/document/doi/10.1515/lingvan-2018-0015/pdf
Reference23 articles.
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2. Cohn, Trevor & Philip Blunsom. 2005. Semantic role labelling with tree conditional random fields. In Proceedings of the Ninth Conference on Computational Natural Language Learning, 169–172. Association for Computational Linguistics.
3. Das, Dipanjan, Desai Chen, André Martins, Nathan Schneider & Noah A Smith. 2014. Frame-semantic parsing. Computational Linguistics 40(1). 9–56.
4. Dodge, Ellen, Sean Trott, Luca Gilardi & Elise Stickles. 2017. Grammar scaling: Leveraging FrameNet data to increase embodied construction grammar coverage. In 2017 AAAI Spring Symposia, Stanford University, Palo Alto, California, USA, March 27–29, 2017. Palo Alto: AAAI Press.
5. Dunietz, Jesse, Lori Levin & Jaime Carbonell. 2017. Automatically tagging constructions of causation and their slot-fillers. Transactions of the Association for Computational Linguistics 5. 117–133.
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