Another disadvantage is the requirement for a manually segmented training corpus to find best value for parameters (they called it proper exponent).
compared to nVBE, the joint model correctly solves 171/871 more combinational ambiguities on PKU/MSRA corpora, which is a 0.6%/13.8% relative error reduction.