Our strategy is based on the approach presented by Johnson et al. ( 2007 ) .
bayesian inference for pcfgs via markov chain monte carlo
Mark Johnson Thomas Griffiths Sharon Goldwater
Since there is no way to analytically compute these modes , we resort to Gibbs sampling to find an approximate solution . Our strategy is based on the approach presented by Johnson et al. ( 2007 ) . At a high level , we alternate between resampling model parameters ( Î¸ROOT , Î¸BIN , Î¸UN , Î¸TERM , Î» , Î¸LCTX , Î¸RCTX ) given the current set of parse trees and resampling those trees given the
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