Extensions to the scarf framework
نویسندگان
چکیده
The scarf framework as presented [2] offers the basic equations for training SCRFs. We propose to extend the framework with Empirical Bayes Risk training or Empirical Training Error optimization, which are better correlated with the error metric one seeks to optimize, than the conditional log-likelihood normally used. Second, SCRFs are (marginalized) exponential models over segmented sequences. In that model, it is supposed a hyperplane in the feature space is adequate to separate correct words from incorrect ones. We relax this
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