@InProceedings{tiedemann:2017:VarDial,
  author    = {Tiedemann, J\"{o}rg},
  title     = {Cross-lingual dependency parsing for closely related languages - Helsinki's submission to VarDial 2017},
  booktitle = {Proceedings of the Fourth Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial)},
  month     = {April},
  year      = {2017},
  address   = {Valencia, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {131--136},
  abstract  = {This paper describes the submission from the University of Helsinki to the
	shared task on cross-lingual dependency parsing at VarDial 2017. We present
	work on annotation projection and treebank translation that gave good results
	for all three target languages in the test set. In particular, Slovak seems to
	work well with information coming from the Czech treebank, which is in line
	with related work. The attachment scores for cross-lingual models even surpass
	the fully supervised models trained on the target language treebank. Croatian
	is the most difficult language in the test set and the improvements over the
	baseline are rather modest. Norwegian works best with information coming from
	Swedish whereas Danish contributes surprisingly little.},
  url       = {http://www.aclweb.org/anthology/W17-1216}
}