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 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 po...
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creator | Bansal, Srijan Garimella, Vishal Suhane, Ayush Patro, Jasabanta Mukherjee, Animesh |
description | 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. |
doi_str_mv | 10.48550/arxiv.2005.02295 |
format | Article |
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We believe that this simple linguistic observation can also be potentially
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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.</abstract><doi>10.48550/arxiv.2005.02295</doi><oa>free_for_read</oa></addata></record> |
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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 |
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