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We describe three models submitted for the CODI-CRAC 2022 shared task. Toperform identity anaphora resolution, we test several combinations of theincremental clustering approach based on the Workspace Coreference System (WCS)with other coreference models. The best result is achieved by adding the''cluster merging'' version of the coref-hoi model, which brings up to 10.33%improvement 1 over vanilla WCS clustering. Discourse deixis resolution isimplemented as multi-task learning: we combine the learning objective ofcorefhoi with anaphor type classification. We adapt the higher-order resolutionmodel introduced in Joshi et al. (2019) for bridging resolution given goldmentions and anaphors.

Anaphora Resolution in Dialogue: System Description (CODI-CRAC 2022 Shared Task)