As our reviewers point out, the semi-supervised domain-adaptation scenario, tackled in this work, is less realistic than the unsupervised counterpart, due to need of labeled target-domain training data, which is usually extremely expensive.
we believe that this work can be equally valuable and useful when there exist only dozens or hundreds of labeled targetdomain training sentences, which may be a feasible compromise for realistic applications of parsing techniques, considering that, as discussed above, purely unsupervised domain adaptation makes very limited progress.