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%0 Conference Proceedings
%T Federated Chinese Word Segmentation with Global Character Associations
%A Tian, Yuanhe
%A Chen, Guimin
%A Qin, Han
%A Song, Yan
%Y Zong, Chengqing
%Y Xia, Fei
%Y Li, Wenjie
%Y Navigli, Roberto
%S Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
%D 2021
%8 August
%I Association for Computational Linguistics
%C Online
%F tian-etal-2021-federated
%R 10.18653/v1/2021.findings-acl.376
%U https://aclanthology.org/2021.findings-acl.376/
%U https://doi.org/10.18653/v1/2021.findings-acl.376
%P 4306-4313

Markdown (Informal)

[Federated Chinese Word Segmentation with Global Character Associations](https://aclanthology.org/2021.findings-acl.376/) (Tian et al., Findings 2021)

• Federated Chinese Word Segmentation with Global Character Associations (Tian et al., Findings 2021)

ACL

• Yuanhe Tian, Guimin Chen, Han Qin, and Yan Song. 2021. Federated Chinese Word Segmentation with Global Character Associations. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 4306–4313, Online. Association for Computational Linguistics.