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The CoNLL-2009 shared task: syntactic and semantic dependencies in multiple languages

Open access
Hajič, Jan, Štěpánek, Jan, Straňák, Pavel, Surdeanu, Mihai, Xue, Nianwen, Zhang, Yi, Ciaramita, Massimiliano, Johansson, Richard, Kawahara, Daisuke, Martí, Maria Antònia, Màrquez, Lluís, Meyers, Adam, Nivre, Joakim, Padó, Sebastian·2009·Proceedings of the Thirteenth Conference on Computational Natural Language Learning Shared Task - CoNLL '09

Abstract

For the 11th straight year, the Conference on Computational Natural Language Learning has been accompanied by a shared task whose purpose is to promote natural language processing applications and evaluate them in a standard setting. In 2009, the shared task was dedicated to the joint parsing of syntactic and semantic dependencies in multiple languages. This shared task combines the shared tasks of the previous five years under a unique dependency-based formalism similar to the 2008 task. In this paper, we define the shared task, describe how the data sets were created and show their quantitative properties, report the results and summarize the approaches of the participating systems.

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Metadata

Authors
Hajič, J., Štěpánek, J., Straňák, P., Surdeanu, M., Xue, N., Zhang, Y., Ciaramita, M., Johansson, R., Kawahara, D., Martí, M. A., Màrquez, L., Meyers, A., Nivre, J., & Padó, S.
Venue
Proceedings of the Thirteenth Conference on Computational Natural Language Learning Shared Task - CoNLL '09
Published
2009
Pages
1
OpenAlex
W2142222368
Cited by
339
References
16
FWCI
26.32
Type
conference paper
Language
en
Open access
gold

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CoChat. (2026). Citation check: The CoNLL-2009 shared task: syntactic and semantic dependencies in multiple languages. https://app.cochat.ai/papers/10.3115/1596409.1596411
The paper
Hajič, J., Štěpánek, J., Straňák, P., Surdeanu, M., Xue, N., Zhang, Y., Ciaramita, M., Johansson, R., Kawahara, D., Martí, M. A., Màrquez, L., Meyers, A., Nivre, J., & Padó, S. (2009). The CoNLL-2009 shared task: syntactic and semantic dependencies in multiple languages. Proceedings of the Thirteenth Conference on Computational Natural Language Learning Shared Task - CoNLL '09. https://doi.org/10.3115/1596409.1596411

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