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        <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</title>
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        <namePart type="given">Srijan</namePart>
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    <abstract>In this paper, we demonstrate how code-switching patterns can be utilised to improve various downstream NLP applications. In particular, we encode various switching features to improve humour, sarcasm and hate speech detection tasks. We believe that this simple linguistic observation can also be potentially helpful in improving other similar NLP applications.</abstract>
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%0 Conference Proceedings
%T 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
%A Bansal, Srijan
%A Garimella, Vishal
%A Suhane, Ayush
%A Patro, Jasabanta
%A Mukherjee, Animesh
%Y Jurafsky, Dan
%Y Chai, Joyce
%Y Schluter, Natalie
%Y Tetreault, Joel
%S Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
%D 2020
%8 July
%I Association for Computational Linguistics
%C Online
%F bansal-etal-2020-code
%X In this paper, we demonstrate how code-switching patterns can be utilised to improve various downstream NLP applications. In particular, we encode various switching features to improve humour, sarcasm and hate speech detection tasks. We believe that this simple linguistic observation can also be potentially helpful in improving other similar NLP applications.
%R 10.18653/v1/2020.acl-main.96
%U https://aclanthology.org/2020.acl-main.96/
%U https://doi.org/10.18653/v1/2020.acl-main.96
%P 1018-1023

Markdown (Informal)

[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](https://aclanthology.org/2020.acl-main.96/) (Bansal et al., ACL 2020)

• 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 (Bansal et al., ACL 2020)

ACL

• Srijan Bansal, Vishal Garimella, Ayush Suhane, Jasabanta Patro, and Animesh Mukherjee. 2020. 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 Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 1018–1023, Online. Association for Computational Linguistics.