@InProceedings{delaclergerie-sagot-seddah:2017:K17-3,
  author    = {De La Clergerie, Eric  and  Sagot, Beno\^{i}t  and  Seddah, Djam\'{e}},
  title     = {The ParisNLP entry at the ConLL UD Shared Task 2017: A Tale of a \#ParsingTragedy},
  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     = {243--252},
  abstract  = {We present the ParisNLP entry at the UD CoNLL 2017 parsing shared task. In
	addition to the UDpipe models provided, we built our own data-driven
	tokenization
	models, sentence segmenter and lexicon-based morphological analyzers. All of
	these were used with a range of different parsing models (neural or not,
	feature-rich or not, transition or graph-based, etc.) and the best combination
	for each language was selected. Unfortunately, a glitch in the shared task’s
	Matrix led our model selector to run generic, weakly lexicalized models,
	tailored for surprise languages, instead of our dataset-specific models. 
	Because of this \#ParsingTragedy, we officially ranked 27th, whereas our real 
	models finally unofficially ranked 6th.},
  url       = {http://www.aclweb.org/anthology/K17-3026}
}