TY - GEN
T1 - The CoNLL-2009 Shared Task
T2 - 13th Conference on Computational Natural Language Learning, CoNLL 2009
AU - Hajič, Jan
AU - Ciaramita, Massimiliano
AU - Johansson, Richard
AU - Kawahara, Daisuke
AU - Màrti, Maria Antònia
AU - Marquez, Lluís
AU - Meyers, Adam
AU - Nivre, Joakim
AU - Padó, Sebastian
AU - Štěpańek, Jan
AU - Straňak, Pavel
AU - Surdeanu, Mihai
AU - Xue, Nianwen
AU - Zhang, Yi
N1 - Funding Information:
Lluís Màrquez and M. Antònia Martípartici-pation was supported by the Spanish Ministry of Education and Science, through the OpenMT and TextMess research projects (TIN2006-15307-C03-02, TIN2006-15265-C06-06).
Funding Information:
The following individuals directly contributed to the Chinese Treebank (in alphabetic order): Meiyu Chang, Fu-Dong Chiou, Shizhe Huang, Zixin Jiang, Tony Kroch, Martha Palmer, Mitch Marcus, Fei Xia, Nianwen Xue. The contributors to the Chinese Proposition Bank include (in alphabetic order): Meiyu Chang, Gang Chen, Helen Chen, Zixin Jiang, Martha Palmer, Zhiyi Song, Nianwen Xue, Ping Yu, Hua Zhong. The Chinese Treebank and the Chinese Proposition Bank were funded by DOD, NSF and DARPA.
Funding Information:
Adam Meyers’ work on the shared task has been supported by the NSF Grant IIS-0534700 “Structure Alignment-based MT.” We thank the Mainichi Newspapers for the permission of distributing the sentences of the Kyoto University Text Corpus for this shared task.
Funding Information:
We also acknowledge the support of the MSˇ MT of the Czech Republic, projects MSM0021620838 and LC536; the Grant Agency of the Academy of sciences of the Czech Republic 1ET201120505 (for Jan Hajicˇ, Jan Sˇteˇpánek and Pavel Stranˇák).
Publisher Copyright:
© 2009 Proceedings of the 13th Conference on Computational Natural Language Learning: Shared Task, CoNLL 2009. All rights reserved.
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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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M3 - Conference contribution
AN - SCOPUS:85123043712
T3 - Proceedings of the 13th Conference on Computational Natural Language Learning: Shared Task, CoNLL 2009
SP - 1
EP - 18
BT - Proceedings of the 13th Conference on Computational Natural Language Learning
A2 - Hajic, Jan
PB - Association for Computational Linguistics (ACL)
Y2 - 4 June 2009 through 4 June 2009
ER -