@inproceedings{de-la-clergerie-etal-2017-parisnlp,
    title = "The {P}aris{NLP} entry at the {C}on{LL} {UD} Shared Task 2017: A Tale of a {\#}{P}arsing{T}ragedy",
    author = "de La Clergerie, {\'E}ric  and
      Sagot, Beno{\^i}t  and
      Seddah, Djam{\'e}",
    editor = "Haji{\v{c}}, Jan  and
      Zeman, Dan",
    booktitle = "Proceedings of the {C}o{NLL} 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies",
    month = aug,
    year = "2017",
    address = "Vancouver, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/K17-3026/",
    doi = "10.18653/v1/K17-3026",
    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."
}