Srijan Bansal, Vishal Garimella, Ayush Suhane, Jasabanta Patro, Animesh Mukherjee 0001. Code-Switching Patterns Can Be an Effective Route to Improve Performance of Downstream NLP Applications: A Case Study of Humour, Sarcasm and Hate Speech Detection. In Dan Jurafsky, Joyce Chai, Natalie Schluter, Joel R. Tetreault, editors, Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, ACL 2020, Online, July 5-10, 2020. pages 1018-1023, Association for Computational Linguistics, 2020. [doi]
@inproceedings{BansalGSPM20,
title = {Code-Switching Patterns Can Be an Effective Route to Improve Performance of Downstream NLP Applications: A Case Study of Humour, Sarcasm and Hate Speech Detection},
author = {Srijan Bansal and Vishal Garimella and Ayush Suhane and Jasabanta Patro and Animesh Mukherjee 0001},
year = {2020},
url = {https://www.aclweb.org/anthology/2020.acl-main.96/},
researchr = {https://researchr.org/publication/BansalGSPM20},
cites = {0},
citedby = {0},
pages = {1018-1023},
booktitle = {Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, ACL 2020, Online, July 5-10, 2020},
editor = {Dan Jurafsky and Joyce Chai and Natalie Schluter and Joel R. Tetreault},
publisher = {Association for Computational Linguistics},
isbn = {978-1-952148-25-5},
}