POS Tagging (State of the art)

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(Difference between revisions)

Revision as of 12:56, 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%
---	Learning with Cyclic Dependency Network	Kristina Toutanova, Dan Klein, Christopher D. Manning, and Yoram Singer. Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network [2]	No	97.24%

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+== "Standard" measure: ==
+* Per token accuracy
+== "Standard" datasets: ==
+* Training: sections 0-18 of WSJ
+* Testing: sections 22-24 of WSJ
 {{StateOfTheArtTable}}
-| 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% ||
+|-
+| --- || Learning with Cyclic Dependency Network || Kristina Toutanova, Dan Klein, Christopher D. Manning, and Yoram Singer. Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network [http://nlp.stanford.edu/kristina/papers/tagging.pdf] || No || 97.24% ||
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 |}