Understanding model behavior We find that much of the gain in model performance comes from the first two rounds of training.
our proposed approach attempts to combine the advantages of both approaches, by defining an objective that incorporates both levels of linguistic properties over the entire forest representation, and adopting an alternating training regime for optimization.