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The CoNLL-2008 shared task on joint parsing of syntactic and semantic dependencies
Open accessAbstract
The Conference on Computational Natural Language Learning is accompanied every year by a shared task whose purpose is to promote natural language processing applications and evaluate them in a standard setting. In 2008 the shared task was dedicated to the joint parsing of syntactic and semantic dependencies. This shared task not only unifies the shared tasks of the previous four years under a unique dependency-based formalism, but also extends them significantly: this year's syntactic dependencies include more information such as named-entity boundaries; the semantic dependencies model roles of both verbal and nominal predicates. In this paper, we define the shared task and describe how the data sets were created. Furthermore, we report and analyze the results and describe the approaches of the participating systems.
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Cites
Building a Large Annotated Corpus of English: The Penn Treebank
Marcus, M. (1993) · doi:10.21236/ada273556 · Cited by 7,405
Introduction to the CoNLL-2003 Shared Task: Language-Independent Named Entity Recognition
Tjong Kim Sang, E. F., & De Meulder, F. (2003) · Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 - · doi:10.3115/1119176.1119195 · Cited by 2,788
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Self-citationGraph Convolutional Encoders for Syntax-aware Neural Machine Translation
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Metadata
- Authors
- Surdeanu, M., Johansson, R., Meyers, A., Màrquez, L., & Nivre, J.
- Venue
- Proceedings of the Twelfth Conference on Computational Natural Language Learning - CoNLL '08
- Published
- 2008
- Pages
- 159
- OpenAlex
- W1970849810
- Cited by
- 491
- References
- 2
- FWCI
- 40.69
- Type
- conference paper
- Language
- en
- Open access
- gold
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- Surdeanu, M., Johansson, R., Meyers, A., Màrquez, L., & Nivre, J. (2008). The CoNLL-2008 shared task on joint parsing of syntactic and semantic dependencies. Proceedings of the Twelfth Conference on Computational Natural Language Learning - CoNLL '08. https://doi.org/10.3115/1596324.1596352
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