POS Induction (State of the art)

From ACL Wiki
Revision as of 15:43, 27 January 2011 by Auser (Talk | contribs)

Jump to: navigation, search

Evaluation

Many-to-1: Mapping every induced label to a gold standard tag greedily. Use the mapping to compute tag accuracy on the Wall Street Journal part of the Penn TreeBank.

Results

System name Short description Main publications Software Many-to-1
Brown+proto MRF initialized with Brown prototypes Christodoulopoulos, Goldwater and Steedman (2010) 76.1%
Logistic regression with features and LBFGS Berg-Kirkpatrick et al. (2010) 75.5%
Clark DMF Distributional clustering + morphology + frequency Clark (2003) alexc 71.2%*

* according to Christodoulopoulos, Goldwater and Steedman (2010)

References

See also