@inproceedings{li-etal-2022-neural-anaphora,
    title = "Neural Anaphora Resolution in Dialogue Revisited",
    author = "Li, Shengjie  and
      Kobayashi, Hideo  and
      Ng, Vincent",
    editor = "Yu, Juntao  and
      Khosla, Sopan  and
      Manuvinakurike, Ramesh  and
      Levin, Lori  and
      Ng, Vincent  and
      Poesio, Massimo  and
      Strube, Michael  and
      Rose, Carolyn",
    booktitle = "Proceedings of the CODI-CRAC 2022 Shared Task on Anaphora, Bridging, and Discourse Deixis in Dialogue",
    month = oct,
    year = "2022",
    address = "Gyeongju, Republic of Korea",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/2022.codi-crac.4/",
    pages = "32--47",
    abstract = "We present the systems that we developed for all three tracks of the CODI-CRAC 2022 shared task, namely the anaphora resolution track, the bridging resolution track, and the discourse deixis resolution track. Combining an effective encoding of the input using the SpanBERT$_{\text{Large}}$ encoder with an extensive hyperparameter search process, our systems achieved the highest scores in all phases of all three tracks."
}Markdown (Informal)
[Neural Anaphora Resolution in Dialogue Revisited](https://preview.aclanthology.org/ingest-emnlp/2022.codi-crac.4/) (Li et al., CODI 2022)
ACL
- Shengjie Li, Hideo Kobayashi, and Vincent Ng. 2022. Neural Anaphora Resolution in Dialogue Revisited. In Proceedings of the CODI-CRAC 2022 Shared Task on Anaphora, Bridging, and Discourse Deixis in Dialogue, pages 32–47, Gyeongju, Republic of Korea. Association for Computational Linguistics.