A Dynamic Oracle for Linear-Time 2-Planar Dependency Parsing
May 14, 2018 ยท Declared Dead ยท ๐ North American Chapter of the Association for Computational Linguistics
"No code URL or promise found in abstract"
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Authors
Daniel Fernรกndez-Gonzรกlez, Carlos Gรณmez-Rodrรญguez
arXiv ID
1805.05202
Category
cs.CL: Computation & Language
Citations
8
Venue
North American Chapter of the Association for Computational Linguistics
Last Checked
4 months ago
Abstract
We propose an efficient dynamic oracle for training the 2-Planar transition-based parser, a linear-time parser with over 99% coverage on non-projective syntactic corpora. This novel approach outperforms the static training strategy in the vast majority of languages tested and scored better on most datasets than the arc-hybrid parser enhanced with the SWAP transition, which can handle unrestricted non-projectivity.
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