We previously showed that incorporating this intuition into a Bayesian prior can help train a CCG supertagger ( Garrette et al. , 2014 ) .
weaklysupervised bayesian learning of a ccg supertagger
Dan Garrette Chris Dyer Jason Baldridge Noah A Smith
Baldridge further notes that due to the natural associativity of CCG , adjacent categories tend to be combinable . We previously showed that incorporating this intuition into a Bayesian prior can help train a CCG supertagger ( Garrette et al. , 2014 ) . In this paper , we present a novel parsing model that is designed specifically for the capacity to capture both of these universal , intrinsic properties of CCG .
We previously showed that incorporating this intuition into a Bayesian prior can help train a CCG supertagger ( @@CITATION ) .