Difference between revisions of "POS Tagging (State of the art)"
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* '''Training data:''' sections 0-18 of Wall Street Journal corpus | * '''Training data:''' sections 0-18 of Wall Street Journal corpus | ||
* '''Testing data:''' sections 22-24 of Wall Street Journal corpus | * '''Testing data:''' sections 22-24 of Wall Street Journal corpus | ||
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+ | == Table of results == | ||
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+ | == References == | ||
Giménez, J., and Márquez, L. (2004). [http://www.lsi.upc.es/~nlp/SVMTool/lrec2004-gm.pdf SVMTool: A general POS tagger generator based on Support Vector Machines]. ''Proceedings of the 4th International Conference on Language Resources and Evaluation (LREC'04)''. Lisbon, Portugal. | Giménez, J., and Márquez, L. (2004). [http://www.lsi.upc.es/~nlp/SVMTool/lrec2004-gm.pdf SVMTool: A general POS tagger generator based on Support Vector Machines]. ''Proceedings of the 4th International Conference on Language Resources and Evaluation (LREC'04)''. Lisbon, Portugal. | ||
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Toutanova, K., Klein, D., Manning, C.D., Yoram Singer, Y. (2003) [http://nlp.stanford.edu/kristina/papers/tagging.pdf Feature-rich part-of-speech tagging with a cyclic dependency network]. ''Proceedings of HLT-NAACL 2003'', pages 252-259. | Toutanova, K., Klein, D., Manning, C.D., Yoram Singer, Y. (2003) [http://nlp.stanford.edu/kristina/papers/tagging.pdf Feature-rich part-of-speech tagging with a cyclic dependency network]. ''Proceedings of HLT-NAACL 2003'', pages 252-259. | ||
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+ | == See also == | ||
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+ | * [[State of the art]] | ||
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[[Category:State of the art]] | [[Category:State of the art]] |
Revision as of 10:32, 2 July 2007
- Performance measure: per token accuracy
- Training data: sections 0-18 of Wall Street Journal corpus
- Testing data: sections 22-24 of Wall Street Journal corpus
Table of results
System name | Short description | Main publications | Software | Results |
---|---|---|---|---|
SVMTool | SVM-based tagger and tagger generator | Giménez and Márquez (2004) | SVMTool | 97.16% |
Stanford Tagger | learning with cyclic dependency network | Toutanova et al. (2003) | Stanford Tagger | 97.24% |
POS tagger | bidirectional perceptron learning | Shen et al. (2007) | POS tagger | 97.33% |
References
Giménez, J., and Márquez, L. (2004). SVMTool: A general POS tagger generator based on Support Vector Machines. Proceedings of the 4th International Conference on Language Resources and Evaluation (LREC'04). Lisbon, Portugal.
Shen, L., Satta, G., and Joshi, A. (2007). Guided learning for bidirectional sequence classification. Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics (ACL 2007), pages 760-767.
Toutanova, K., Klein, D., Manning, C.D., Yoram Singer, Y. (2003) Feature-rich part-of-speech tagging with a cyclic dependency network. Proceedings of HLT-NAACL 2003, pages 252-259.