Adding context parameters never hurts, and in most cases, using priors based on intrinsic, cross-lingual aspects of the CCG formalism to bias those parameters toward connectivity provides further gains.
biasing the model toward trees in which constituent labels are combinable with their adjacent supertags frequently helps the model.