Our first effort to create more accurate temporal relation resolution classifiers given our temporal reasoning engine is to augment the gold training data with new relations from the temporal closure of the relations identified by human annotators.
alternativelly, our main assumption might prove incorrect: temporal closure is not a good indicator of a document's event ordering.