We can define PCAT using a probabilistic grammar ( Garrette et al. , 2014 ) .
weaklysupervised bayesian learning of a ccg supertagger
Dan Garrette Chris Dyer Jason Baldridge Noah A Smith
To formalize the notion of what it means for a category to be more `` plausible '' , we extend the category generator of our previous work , which we will call PCAT . We can define PCAT using a probabilistic grammar ( Garrette et al. , 2014 ) . The grammar may first generate a start or end category ( ( S ) , ( E ) ) with probability pse or a special tokendeletion category ( ( D ) ; explained in Â§ 5 ) with probability pdel , or a standard CCG category C :
We can define PCAT using a probabilistic grammar ( @@CITATION ) .