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
- Editors:
- Chengqing Zong, Fei Xia, Wenjie Li, Roberto Navigli
- Venue:
- 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
- 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)
- PDF:
- https://preview.aclanthology.org/add_acl24_videos/2021.findings-acl.407.pdf
- Code
- LCS2-IIITD/HIT-ACL2021-Codemixed-Representation