Another possible metric for optimization would be to weigh each reference instance equally, wherein there is no need to calculate Independent Accuracy for each entity and then average them into Adaptation Accuracy, as shown earlier.
such an approach will lead the learning agent to ignore the entities that are least referred to, and focus on getting the reference to the most frequently referred-to entities right.