@InProceedings{schlichtkrull-sogaard:2017:EACLlong,
  author    = {Schlichtkrull, Michael  and  S{\o}gaard, Anders},
  title     = {Cross-Lingual Dependency Parsing with Late Decoding for Truly Low-Resource Languages},
  booktitle = {Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers},
  month     = {April},
  year      = {2017},
  address   = {Valencia, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {220--229},
  abstract  = {In cross-lingual dependency annotation projection, information is often lost
	during transfer because of early decoding. We present an end-to-end graph-based
	neural network dependency parser that can be trained to reproduce matrices of
	edge scores, which can be directly projected across word alignments. We show
	that our approach to cross-lingual dependency parsing is not only simpler, but
	also achieves an absolute improvement of 2.25% averaged across 10 languages
	compared to the previous state of the art.},
  url       = {http://www.aclweb.org/anthology/E17-1021}
}