@InProceedings{grishina:2017:DiscoMT,
  author    = {Grishina, Yulia},
  title     = {Combining the output of two coreference resolution systems for two source languages to improve annotation projection},
  booktitle = {Proceedings of the Third Workshop on Discourse in Machine Translation},
  month     = {September},
  year      = {2017},
  address   = {Copenhagen, Denmark},
  publisher = {Association for Computational Linguistics},
  pages     = {67--72},
  abstract  = {Although parallel coreference corpora can
	to a high degree support the development
	of SMT systems, there are no large-scale
	parallel datasets available due to the complexity
	of the annotation task and the variability
	in annotation schemes. In this
	study, we exploit an annotation projection
	method to combine the output of two
	coreference resolution systems for two
	different source languages (English, German)
	in order to create an annotated corpus
	for a third language (Russian). We
	show that our technique is superior to projecting
	annotations from a single source
	language, and we provide an in-depth
	analysis of the projected annotations in order
	to assess the perspectives of our approach.},
  url       = {http://aclweb.org/anthology/W17-4809}
}