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.

翻译：我们调整了李等人(2018年)的跨实体协作模式,以适应对话中终端至终端对话解析的任务,特别是提议扩展其利用具体任务特点的模型,由此形成的dd-utt模型在CODI-CRAC 2021共同任务中的4个数据集上取得了最新结果。