Results show that using Chart Constrains as a baseline, we prune (skip) 33% of the total chart cells.
we use the same loss function L λ , this time training several classifiers: Note that in Equation 4 when k = 0, we recover the open/closed cell classification of Equation 2, since a beam width of 0 indicates that the chart cell is completely closed.