Intuitively, if several parsers disagree on an unlabeled sentence, it implies that the unlabeled sentence contains some difficult syntactic phenomena which are not sufficiently covered in manually labeled data.
exploiting such unlabeled data may introduce more discriminative syntactic knowledge, largely compensating labeled training data.