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

Animesh Mukherjee; Ayush Suhane; Jasabanta Patro; Srijan Bansal; Vishal Garimella

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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

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arxiv 2005.02295 v1 pith:QCAY4NC5 submitted 2020-05-05 cs.CL

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 This is my paper

classification cs.CL

keywords applicationsimprovecode-switchingdetectiondownstreamhatehumourpatterns

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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. We believe that this simple linguistic observation can also be potentially helpful in improving other similar NLP applications.

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

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