A Dynamic Oracle for Linear-Time 2-Planar Dependency Parsing

May 14, 2018 ยท Declared Dead ยท ๐Ÿ› North American Chapter of the Association for Computational Linguistics

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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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