CoNLL - 2013 Seventeenth Conference on

CoNLL - 2014 Eighteenth Conference on Computational Natural Language Learning

The CoNLL-2014 shared task was devoted to grammatical error correction of all error types. In this paper, we give the task definition, present the data sets, and describe the evaluation metric and scorer used in the shared task. We also give an overview of the various approaches adopted by the participating teams, and present the evaluation results. Compared to the CoNLL2013 shared task, we hav...

Eighteenth Conference on Computational Natural Language Learning

The CoNLL-2014 shared task was devoted to grammatical error correction of all error types. In this paper, we give the task definition, present the data sets, and describe the evaluation metric and scorer used in the shared task. We also give an overview of the various approaches adopted by the participating teams, and present the evaluation results. Compared to the CoNLL2013 shared task, we hav...

Hybrid learning of Syntactic and Semantic Dependencies

In the past four years, the Conference on Computational Natural Language Learning (CoNLL) featured an associated share task every year which allow the participants to train and test their Semantic Role Labeling (SRL) or Syntactic systems on the same date sets and share their experiences. In 2004 and 2005, the shared tasks of CoNLL were focus on SRL. In CoNLL-2006 and CoNLL-2007, the shared task...

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29 - July 2, 2000

CoNLL-X Shared Task on Multilingual Dependency Parsing

Each year the Conference on Computational Natural Language Learning (CoNLL)1 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 ...