@inproceedings{xu-choi-2021-adapted,
    title = "Adapted End-to-End Coreference Resolution System for Anaphoric Identities in Dialogues",
    author = "Xu, Liyan  and
      Choi, Jinho D.",
    editor = "Khosla, Sopan  and
      Manuvinakurike, Ramesh  and
      Ng, Vincent  and
      Poesio, Massimo  and
      Strube, Michael  and
      Ros{\'e}, Carolyn",
    booktitle = "Proceedings of the CODI-CRAC 2021 Shared Task on Anaphora, Bridging, and Discourse Deixis in Dialogue",
    month = nov,
    year = "2021",
    address = "Punta Cana, Dominican Republic",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/landing_page/2021.codi-sharedtask.6/",
    doi = "10.18653/v1/2021.codi-sharedtask.6",
    pages = "55--62",
    abstract = "We present an effective system adapted from the end-to-end neural coreference resolution model, targeting on the task of anaphora resolution in dialogues. Three aspects are specifically addressed in our approach, including the support of singletons, encoding speakers and turns throughout dialogue interactions, and knowledge transfer utilizing existing resources. Despite the simplicity of our adaptation strategies, they are shown to bring significant impact to the final performance, with up to 27 F1 improvement over the baseline. Our final system ranks the 1st place on the leaderboard of the anaphora resolution track in the CRAC 2021 shared task, and achieves the best evaluation results on all four datasets."
}