To understand a story with multiple events, it is important to capture the proper relations across these events. However, existing event relation extraction (ERE) frameworks regard it as a multi-class classification task, and do not guarantee any coherence between different relation types. For instance, if a phone line died after storm, then it is evident that the storm happened before the died. Current frameworks of event relation extraction do not guarantee this anti-symmetry and thus enforce it via a constraint loss function . In this work, we propose to modify the underlying ERE model to guarantee coherence by representing each event as a box representation (BERE) without applying explicit constraints. Our experiments show that BERE has stronger conjunctive constraint satisfaction while performing on par or better in terms of F 1 compared to previous models with constraint injection. 1