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 potentially helpful in improving other similar NLP applications.
@article{arxiv.2005.02295,
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},
journal= {arXiv preprint arXiv:2005.02295},
year = {2020}
}
Comments
This work is accepted as a short paper in the proceedings of ACL 2020