Due to the lack of jointly labeled data for these relational phenomena and the restriction on the structures they articulate, we propose a joint constrained learning framework for modeling event-event relations.
the framework enforces logical constraints within and across multiple temporal and subevent relations by converting these constraints into differentiable learning objectives.