@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/moar-dois/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/moar-dois/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.