@InProceedings{moor-EtAl:2017:K17-3,
  author    = {Moor, Christophe  and  Merlo, Paola  and  Henderson, James  and  Wang, Haozhou},
  title     = {CLCL (Geneva) DINN Parser: a Neural Network Dependency Parser Ten Years Later},
  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     = {228--236},
  abstract  = {This paper describes the University of Geneva's submission to the CoNLL 2017
	shared task Multilingual Parsing from Raw Text to Universal Dependencies
	(listed as the CLCL (Geneva) entry).  Our submitted parsing system is the
	grandchild of the first transition-based neural network dependency parser,
	which was the University of Geneva's entry in the CoNLL 2007 multilingual
	dependency parsing shared task, with some improvements to speed and
	portability.  These results provide a baseline for investigating how far we
	have come in the past ten years of work on neural network dependency parsing.},
  url       = {http://www.aclweb.org/anthology/K17-3024}
}