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.
learning parsers from incomplete or indirect supervision is an important component of moving NlP research toward new domains and languages.