Consequently, we create features for temporal relation classification based on four types of PropBank-style predicate-argument relations, namely directional, manner, temporal, and cause.
using SENNA's output, we create four binary features that encode whether argument e 2 is related to predicate e 1 through the four types of relations, and we create another four binary features that encode whether argument e 1 is related to predicate e 2 through the four types of relations.