We can clearly see that the dependency chain input effectively retains contexts that are relevant for predicting event temporal status.
as shown in Figure 2(b), the context event "launch" that indirectly governs the target event "protest" in the dependency chain together with the auxiliary verb "will" have received the highest weights and are most useful in predicting the correct temporal status.