@InProceedings{kanerva-luotolahti-ginter:2017:K17-3,
  author    = {Kanerva, Jenna  and  Luotolahti, Juhani  and  Ginter, Filip},
  title     = {TurkuNLP: Delexicalized Pre-training of Word Embeddings for Dependency Parsing},
  booktitle = {Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies},
  month     = {August},
  year      = {2017},
  address   = {Vancouver, Canada},
  publisher = {Association for Computational Linguistics},
  pages     = {119--125},
  abstract  = {We present the TurkuNLP entry in the CoNLL 2017 Shared Task on Multilingual
	Parsing from Raw Text to Universal Dependencies. The system is based on the
	UDPipe parser with our focus being in exploring various techniques to pre-train
	the word embeddings used by the parser in order to improve its performance
	especially on languages with small training sets. The system ranked 11th among
	the 33 participants overall, being 8th on the small treebanks, 10th on the
	large treebanks, 12th on the parallel test sets, and 26th on the surprise
	languages.},
  url       = {http://www.aclweb.org/anthology/K17-3012}
}