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

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{{StateOfTheArtTable}}
!width="10%"|System Name
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!width="10%"|Short Description
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!width="25%"|Main Publications
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!width="25%"|Software (if available)
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!width="10%"|Results
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!width="20%"|Comments (i.e. extra resources used, train/test times, ...)
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| 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 ||  
 
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Revision as of 10:47, 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