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

From ACL Wiki
Jump to navigation Jump to search
Line 7: Line 7:
 
!width="20%"|Comments (i.e. extra resources used, train/test times, ...)
 
!width="20%"|Comments (i.e. extra resources used, train/test times, ...)
 
|-
 
|-
| SVMTool || SVM Based tagger and tagger generator || Jesús Giménez and Lluís Márquez. SVMTool: A general POS tagger generator based on Support Vector Machines[http://www.lsi.upc.es/~nlp/SVMTool/lrec2004-gm.pdf] || [http://www.lsi.upc.es/~nlp/SVMTool/|http://www.lsi.upc.es/~nlp/SVMTool/] || 97.16% Accuracy, Trained on WSJ 0-18, Tested on WSJ 22-24 || ||
+
| SVMTool || SVM Based tagger and tagger generator || Jesús Giménez and Lluís Márquez. SVMTool: A general POS tagger generator based on Support Vector Machines[http://www.lsi.upc.es/~nlp/SVMTool/lrec2004-gm.pdf] || [http://www.lsi.upc.es/~nlp/SVMTool/|http://www.lsi.upc.es/~nlp/SVMTool/] || 97.16% Accuracy, Trained on WSJ 0-18, Tested on WSJ 22-24 ||  
 
|-
 
|-
  
 
|}
 
|}

Revision as of 08:57, 16 June 2007

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 Jesús Giménez and Lluís Márquez. SVMTool: A general POS tagger generator based on Support Vector Machines[1] http://www.lsi.upc.es/~nlp/SVMTool/] 97.16% Accuracy, Trained on WSJ 0-18, Tested on WSJ 22-24