Our proposed grounder works in one single pass without introducing overlapping sliding windows, which thus results in a fast runtime.
as shown in Figure 2, at each time step t, the grounder efficiently scores a set of K grounding candidates by considering multiple time scales (Buch et al., 2017) that end at time step t. we use different K for different datasets, which is determined by the distribution of the lengths of all ground-truth groundings in a certain dataset.