In general, the model transforms the segments into object-pairs by the TC-CNN and passes sentence through bi-GRU to obtain the global representation. Then we integrate object-pairs with global representation and make a pair-wise inference to detect the relationship among the segments. Ablation studies show that the proposed SCRN at the segment level has the capacity for relational reasoning and promotes the result significantly. 
 Question: How is Relation network used to infer causality at segment level?
we integrate object-pairs with global representation and make a pair-wise inference to detect the relationship among the segments