Difference between revisions of "POS Tagging (State of the art)"
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{{StateOfTheArtTable}} | {{StateOfTheArtTable}} | ||
| − | | SVMTool || SVM Based tagger and tagger generator || | + | | SVMTool || SVM Based tagger and tagger generator || Giménez and Márquez (2004) || [http://www.lsi.upc.es/~nlp/SVMTool/ SVMTool] || 97.16% || |
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| − | | Stanford Tagger || Learning with Cyclic Dependency Network || | + | | Stanford Tagger || Learning with Cyclic Dependency Network || Toutanova et al. (?) || [http://nlp.stanford.edu/software/tagger.shtml Stanford Tagger] || 97.24% || |
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| − | | || Bidirectional Perceptron Learning || | + | | || Bidirectional Perceptron Learning || Shen et al. (?) || [http://www.cis.upenn.edu/~xtag/spinal/ POS tagger] || 97.33% || |
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| + | Jesús Giménez and Lluís Márquez. (2004). [http://www.lsi.upc.es/~nlp/SVMTool/lrec2004-gm.pdf SVMTool: A general POS tagger generator based on Support Vector Machines]. | ||
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| + | Libin Shen, Giorgio Satta and Aravind K. Joshi. (?). [http://acl.ldc.upenn.edu/P/P07/P07-1096.pdf Guided Learning for Bidirectional Sequence Classification]. | ||
| + | |||
| + | Kristina Toutanova, Dan Klein, Christopher D. Manning, and Yoram Singer. (?) [http://nlp.stanford.edu/kristina/papers/tagging.pdf Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network]. | ||
[[Category:State of the art]] | [[Category:State of the art]] | ||
Revision as of 20:22, 20 June 2007
"Standard" measure:
- Per token accuracy
"Standard" datasets:
- Training: sections 0-18 of WSJ
- Testing: sections 22-24 of WSJ
| System Name | Short Description | Main Publications | Software (if available) | Results | Comments (i.e. extra resources used, train/test times, ...) |
|---|---|---|---|---|---|
| SVMTool | SVM Based tagger and tagger generator | Giménez and Márquez (2004) | SVMTool | 97.16% | |
| Stanford Tagger | Learning with Cyclic Dependency Network | Toutanova et al. (?) | Stanford Tagger | 97.24% | |
| Bidirectional Perceptron Learning | Shen et al. (?) | POS tagger | 97.33% |
Jesús Giménez and Lluís Márquez. (2004). SVMTool: A general POS tagger generator based on Support Vector Machines.
Libin Shen, Giorgio Satta and Aravind K. Joshi. (?). Guided Learning for Bidirectional Sequence Classification.
Kristina Toutanova, Dan Klein, Christopher D. Manning, and Yoram Singer. (?) Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network.