HIT - A Hierarchically Fused Deep Attention Network for Robust Code-mixed Language Representation

Ayan Sengupta, Sourabh Kumar Bhattacharjee, Tanmoy Chakraborty, Md. Shad Akhtar


Anthology ID:
2021.findings-acl.407
Volume:
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
Month:
August
Year:
2021
Address:
Online
Venues:
ACL | Findings
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
4625–4639
Language:
URL:
https://aclanthology.org/2021.findings-acl.407
DOI:
10.18653/v1/2021.findings-acl.407
Bibkey:
Cite (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.
Cite (Informal):
HIT - A Hierarchically Fused Deep Attention Network for Robust Code-mixed Language Representation (Sengupta et al., Findings 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.findings-acl.407.pdf
Optional supplementary material:
 2021.findings-acl.407.OptionalSupplementaryMaterial.pdf
Code
 LCS2-IIITD/HIT-ACL2021-Codemixed-Representation