@InProceedings{novak-nedoluzhko-vzabokrtsky:2017:CORBON,
  author    = {Nov\'{a}k, Michal  and  Nedoluzhko, Anna  and  \v{Z}abokrtsk\'{y}, Zdeněk},
  title     = {Projection-based Coreference Resolution Using Deep Syntax},
  booktitle = {Proceedings of the 2nd Workshop on Coreference Resolution Beyond OntoNotes (CORBON 2017)},
  month     = {April},
  year      = {2017},
  address   = {Valencia, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {56--64},
  abstract  = {The paper describes the system for coreference resolution in German and
	Russian, trained exclusively on coreference relations project
	ed through a parallel corpus from English. 
	The resolver operates on the level of deep syntax and makes use of multiple
	specialized models.
	It achieves 32 and 22 points in terms of CoNLL score for Russian and German,
	respectively.
	Analysis of the evaluation results show that the resolver for Russian is able
	to preserve 66% of the English resolver's quality in terms of CoNLL score.
	The system was submitted to the Closed track of the CORBON 2017 Shared task.},
  url       = {http://www.aclweb.org/anthology/W17-1508}
}