42 citations · 93 across the 31 of their papers we have counts for
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cs.CL2020★ 3 cited
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 +2
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 im…
cs.SI2020★ 42 cited
Deep Learning Models for Multilingual Hate Speech Detection
Sai Saketh Aluru, Binny Mathew, Punyajoy Saha +1
Hate speech detection is a challenging problem with most of the datasets available in only one language: English. In this paper, we conduct a large scale analysis of multilingual h…