Character-level HyperNetworks for Hate Speech Detection. (arXiv:2111.06336v2 [cs.CL] UPDATED)

The massive spread of hate speech, hateful content targeted at specific
subpopulations, is a problem of critical social importance. Automated methods
of hate speech detection typically employ state-of-the-art deep learning
(DL)-based text classifiers-large pretrained neural language models of over 100
million parameters, adapting these models to the task of hate speech detection
using relevant labeled datasets. Unfortunately, there are only a few public
labeled datasets of limited size that are available for this purpose. We make
several contributions with high …

arxiv detection hate speech speech