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

We propose an efficient dynamic oracle for training the 2-Planar transition-based parser, a linear-time parser with over 99 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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