Multilingual parsing to universal dependencies

In this task, systems are required to find labeled syntactic dependencies between words, i.e., a syntactic head for each word, and a label classifying the type of the dependency relation. In addition, systems are asked to predict a morphological analysis of each word, including a part-of-speech tag, morphological features, and a lemma.

Publication

Daniel Zeman, Jan Hajič, Martin Popel, Martin Potthast, Milan Straka, Filip Ginter, Joakim Nivre, Slav Petrov (2018) CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies. In Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, pages 1–21, Brussels, Belgium. Association for Computational Linguistics.

Competition

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

Language

Spanish

English

NLP topic

parsing

Abstract task

Classification

Dataset

CoNLL-UD2.2-ES

Year