Difference between revisions of "POS Tagging (State of the art)"

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* '''Performance measure:''' Per token accuracy
+
* '''Performance measure:''' per token accuracy
 
* '''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
  
  
{{StateOfTheArtTable}}
+
{| border="1" cellpadding="5" cellspacing="1" width="100%"
| SVMTool || SVM-based tagger and tagger generator || Giménez and Márquez (2004) || [http://www.lsi.upc.es/~nlp/SVMTool/ SVMTool] || 97.16% ||
+
 
|-
 
|-
 
+
! System name
| Stanford Tagger || learning with cyclic dependency network || Toutanova et al. (2003) || [http://nlp.stanford.edu/software/tagger.shtml Stanford Tagger] || 97.24% ||
+
! Short description
 +
! Main publications
 +
! Software
 +
! Results
 
|-
 
|-
 
+
| SVMTool
| POS tagger || bidirectional perceptron learning || Shen et al. (2007) || [http://www.cis.upenn.edu/~xtag/spinal/ POS tagger] || 97.33% ||
+
| SVM-based tagger and tagger generator
 +
| Giménez and Márquez (2004)
 +
| [http://www.lsi.upc.es/~nlp/SVMTool/ SVMTool]
 +
| 97.16%
 +
|-
 +
| Stanford Tagger
 +
| learning with cyclic dependency network
 +
| Toutanova et al. (2003)
 +
| [http://nlp.stanford.edu/software/tagger.shtml Stanford Tagger]
 +
| 97.24%
 +
|-
 +
| POS tagger
 +
| bidirectional perceptron learning
 +
| Shen et al. (2007)
 +
| [http://www.cis.upenn.edu/~xtag/spinal/ POS tagger]
 +
| 97.33%
 
|-
 
|-
 
 
|}
 
|}
  

Revision as of 12:21, 21 June 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


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%


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.