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%0 Conference Proceedings
%T HIT - A Hierarchically Fused Deep Attention Network for Robust Code-mixed Language Representation
%A Sengupta, Ayan
%A Bhattacharjee, Sourabh Kumar
%A Chakraborty, Tanmoy
%A Akhtar, Md. Shad
%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 sengupta-etal-2021-hit
%R 10.18653/v1/2021.findings-acl.407
%U https://aclanthology.org/2021.findings-acl.407/
%U https://doi.org/10.18653/v1/2021.findings-acl.407
%P 4625-4639

Markdown (Informal)

[HIT - A Hierarchically Fused Deep Attention Network for Robust Code-mixed Language Representation](https://aclanthology.org/2021.findings-acl.407/) (Sengupta et al., Findings 2021)

• HIT - A Hierarchically Fused Deep Attention Network for Robust Code-mixed Language Representation (Sengupta et al., Findings 2021)

ACL

• Ayan Sengupta, Sourabh Kumar Bhattacharjee, Tanmoy Chakraborty, and Md. Shad Akhtar. 2021. HIT - A Hierarchically Fused Deep Attention Network for Robust Code-mixed Language Representation. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 4625–4639, Online. Association for Computational Linguistics.