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arXiv · 1805.05202

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

Daniel Fernández-González·Carlos Gómez-Rodríguez
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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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Daniel Fernández-González, Carlos Gómez-Rodríguez. 2018-05-15. A Dynamic Oracle for Linear-Time 2-Planar Dependency Parsing. https://arxiv.org/abs/1805.05202

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