@InProceedings{fernndezgonzlez-gmezrodrguez:2018:N18-22,
  author    = {Fernández-González, Daniel  and  Gómez-Rodríguez, Carlos},
  title     = {Non-Projective Dependency Parsing with Non-Local Transitions},
  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     = {693--700},
  abstract  = {We present a novel transition system, based on the Covington non-projective parser, introducing non-local transitions that can directly create arcs involving nodes to the left of the current focus positions. This avoids the need for long sequences of No-Arcs transitions to create long-distance arcs, thus alleviating error propagation. The resulting parser outperforms the original version and achieves the best accuracy on the Stanford Dependencies conversion of the Penn Treebank among greedy transition-based parsers.},
  url       = {http://www.aclweb.org/anthology/N18-2109}
}