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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 [article]

Srijan Bansal, Vishal Garimella, Ayush Suhane, Jasabanta Patro, Animesh Mukherjee
2020 arXiv   pre-print
In this paper we demonstrate how code-switching patterns can be utilised to improve various downstream NLP applications.  ...  In particular, we encode different switching features to improve humour, sarcasm and hate speech detection tasks.  ...  Conclusion In this paper, we identified how switching patterns can be effective in improving three different NLP applications.  ... 
arXiv:2005.02295v1 fatcat:srrt44mpxrgm7a7x2vxj3dp5ue

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

Srijan Bansal, Vishal Garimella, Ayush Suhane, Jasabanta Patro, Animesh Mukherjee
2020 Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics   unpublished
In particular, we encode different switching features to improve humour, sarcasm and hate speech detection tasks.  ...  In this paper we demonstrate how codeswitching patterns can be utilised to improve various downstream NLP applications.  ...  Conclusion In this paper, we identified how switching patterns can be effective in improving three different NLP applications.  ... 
doi:10.18653/v1/2020.acl-main.96 fatcat:ljwkdygkfzgcjbhr6fdhj2pxai

From Symbols to Embeddings: A Tale of Two Representations in Computational Social Science [article]

Huimin Chen, Cheng Yang, Xuanming Zhang, Zhiyuan Liu, Maosong Sun, Jianbin Jin
2021 arXiv   pre-print
This survey aims to provide a deeper understanding and more advisable applications of data representations for CSS researchers.  ...  However, these large-scale and multi-modal data also present researchers with a great challenge: how to represent data effectively to mine the meanings we want in CSS?  ...  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.  ... 
arXiv:2106.14198v1 fatcat:dvy5awnfuvbnnkzusjl5wbhfki