@InProceedings{fernndezgonzlez-gmezrodrguez:2018:N18-21,
  author    = {Fernández-González, Daniel  and  Gómez-Rodríguez, Carlos},
  title     = {A Dynamic Oracle for Linear-Time 2-Planar Dependency Parsing},
  booktitle = {Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)},
  month     = {June},
  year      = {2018},
  address   = {New Orleans, Louisiana},
  publisher = {Association for Computational Linguistics},
  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.},
  url       = {http://www.aclweb.org/anthology/N18-2062}
}