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While coreference resolution typically involves various linguisticchallenges, recent models are based on a single pairwise scorer for all typesof pairs. We present LingMess, a new coreference model that defines differentcategories of coreference cases and optimize multiple pairwise scorers, whereeach scorer learns a specific set of linguistic challenges. Our modelsubstantially improves pairwise scores for most categories and outperformscluster-level performance on Ontonotes and 5 additional datasets. Our model isavailable in https://github.com/shon-otmazgin/lingmess-coref

LingMess: Linguistically Informed Multi Expert Scorers for Coreference Resolution