POS Tagging (State of the art)

"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.