One weakness shared by virtually all existing coreference evaluation metrics is that they are linguistically agnostic, treating the mentions to be clustered as generic rather than linguistic objects.
while MUC, B 3 , and CEAF were designed for evaluating coreference resolvers, their linguistic agnosticity implies that they can be used to evaluate any clustering task, including those that are not linguistic in nature.