By loosing the global constraints to local ones, the incorrect historical decisions that fall outside a window with size δ can never disturb a current prediction.
most transition-based neural models (Weiss et al., 2015;Zhou et al., 2015;Andor et al., 2016) incorporated the structured perceptron with beam search decoding, resulting in substantial improvement of accuracy.