CoNLL-X shared task on multilingual dependency parsing
Toshiba (United Kingdom) · Tilburg University
Abstract
Each year the Conference on Computational Natural Language Learning (CoNLL) features a shared task, in which participants train and test their systems on exactly the same data sets, in order to better compare systems. The tenth CoNLL (CoNLL-X) saw a shared task on Multilingual Dependency Parsing. In this paper, we describe how treebanks for 13 languages were converted into the same dependency format and how parsing performance was measured. We also give an overview of the parsing approaches that participants took and the results that they achieved. Finally, we try to draw general conclusions about multi-lingual parsing: What makes a particular language, treebank or annotation scheme easier or harder to parse…
Citation impact
- FWCI
- 69.44
- Percentile
- 100%
- References
- 70
Authors
2Topics & keywords
- Computer science
- Treebank
- Parsing
- Dependency (UML)
- Natural language processing
- Dependency grammar
- Task (project management)
- Artificial intelligence
- Quality Education