The ParisNLP entry at the ConLL UD Shared Task 2017: A Tale of a #ParsingTragedy

• Autores: Eric de la Clergerie, Benoît Sagot, Djamé Seddah
• Localización: Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies : August 3-4, 2017 Vancouver, Canada / Jan Hajic (ed. lit.), 2017, ISBN 978-1-945626-70-8, págs. 243-252
• Idioma: inglés
• Enlaces
  • Texto Completo Libro (pdf)
• Resumen

  • We present the ParisNLP entry at the UDCoNLL 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 mod- els, 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.