POS Tagging (State of the art)

From ACLWiki
(Difference between revisions)
Jump to: navigation, search
(Table of results: typo)
m (Table of results: bad markup)
Line 36: Line 36:
 
| ?
 
| ?
 
| Tsuruoka, et al (2005)
 
| Tsuruoka, et al (2005)
| [http://www-tsujii.is.s.u-tokyo.ac.jp/GENIA/tagger/ GENiA
+
| [http://www-tsujii.is.s.u-tokyo.ac.jp/GENIA/tagger/ GENiA]
 
| 96.94% on WSJ, 98.26% on biomed.
 
| 96.94% on WSJ, 98.26% on biomed.
 
|-
 
|-

Revision as of 01:40, 19 November 2009

  • 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


Table of results

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%
GENiA Tagger  ? Tsuruoka, et al (2005) GENiA 96.94% on WSJ, 98.26% on biomed.

References

See also

Personal tools