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

Daniel Fernández-González, Carlos Gómez-Rodríguez

Published 2018-05-14Version 1

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.