CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies

Abstract

Every year, the Conference on Computational Natural Language Learning (CoNLL) features a shared task, in which participants train and test their learning systems on the same data sets. In 2018, one of two tasks was devoted to learning dependency parsers for a large number of languages, in a real-world setting without any gold-standard annotation on test input.

Keywords

• conll
• 2018
• shared
• task
• multilingual
• parsing
• from
• text
• universal
• dependencies