  We adapt Lee et al.'s (2018) span-based entity coreference model to the task
of end-to-end discourse deixis resolution in dialogue, specifically by
proposing extensions to their model that exploit task-specific characteristics.
The resulting model, dd-utt, achieves state-of-the-art results on the four
datasets in the CODI-CRAC 2021 shared task.
