@inproceedings{fernandez-gonzalez-gomez-rodriguez-2018-dynamic-oracle,
    title = "A Dynamic Oracle for Linear-Time 2-Planar Dependency Parsing",
    author = "Fern{\'a}ndez-Gonz{\'a}lez, Daniel  and
      G{\'o}mez-Rodr{\'i}guez, Carlos",
    editor = "Walker, Marilyn  and
      Ji, Heng  and
      Stent, Amanda",
    booktitle = "Proceedings of the 2018 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)",
    month = jun,
    year = "2018",
    address = "New Orleans, Louisiana",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/N18-2062/",
    doi = "10.18653/v1/N18-2062",
    pages = "386--392",
    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."
}