@InProceedings{luotolahti-kanerva-ginter:2017:DiscoMT,
  author    = {Luotolahti, Juhani  and  Kanerva, Jenna  and  Ginter, Filip},
  title     = {Cross-Lingual Pronoun Prediction with Deep Recurrent Neural Networks v2.0},
  booktitle = {Proceedings of the Third Workshop on Discourse in Machine Translation},
  month     = {September},
  year      = {2017},
  address   = {Copenhagen, Denmark},
  publisher = {Association for Computational Linguistics},
  pages     = {63--66},
  abstract  = {In this paper we present our system in
	the DiscoMT 2017 Shared Task on Crosslingual
	Pronoun Prediction. Our entry
	builds on our last year’s success, our system
	based on deep recurrent neural networks
	outperformed all the other systems
	with a clear margin. This year we investigate
	whether different pre-trained word
	embeddings can be used to improve the
	neural systems, and whether the recently
	published Gated Convolutions outperform
	the Gated Recurrent Units used last year.},
  url       = {http://aclweb.org/anthology/W17-4808}
}