On small data sets all of the Bayesian estimators strongly outperform EM ( and , to a lesser extent , VB ) with respect to all of our evaluation measures , confirming the results reported in Goldwater and Griffiths ( 2007 ) .
a fully bayesian approach to unsupervised partofspeech tagging
Sharon Goldwater Tom Griffiths
As might be expected , our evaluation measures disagree somewhat , but the following broad tendancies seem clear . On small data sets all of the Bayesian estimators strongly outperform EM ( and , to a lesser extent , VB ) with respect to all of our evaluation measures , confirming the results reported in Goldwater and Griffiths ( 2007 ) . This is perhaps not too surprising , as the Bayesian prior plays a comparatively stronger role with a smaller training corpus ( which makes the likelihood term smaller ) and the approximation used by Variational Bayes is likely to be less accurate on smaller data sets .
On small data sets all of the Bayesian estimators strongly outperform EM ( and , to a lesser extent , VB ) with respect to all of our evaluation measures , confirming the results reported in @@CITATION .