A possible answer to this problem can be provided by high quality parses produced by unsupervised parsers that require little to no manual efforts for their training.
the SEPA algorithm of Reichart and Rappoport (2007), an algorithm for supervised constituency parsers, can be applied to unsupervised parsers in a way that preserves the unsupervised nature of the selection task.