Our preliminary results show that coreferring on the basis of just one special word and one named entity for those names in "low" or "very low" does not lose more than 1,5% in precision, while it gains up to 40% in recall for these cases.
for "very high" perplexity two-token names we were able to increase precision by requiring a stronger similarity between contexts.