The ParisNLP entry at the ConLL UD Shared Task 2017: A Tale of a #ParsingTragedy
Éric Villemonte de la Clergerie, Benoît Sagot, Djamé Seddah · 2017
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 lexiconbased 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.