If MSTParser is trained on NEGRA excluding the test set -the rest of NEGRA lacking consistence mentioned above -it performs even better, attaching 80.4% of PP-s correctly.
mSTParser as a statistical parser trained on a full corpus becomes a strong competitor for a PP attacher that has been trained on restricted four-tuples input.