42 citations · 43 across the 8 of their papers we have counts for
Showing 2019 · cs.CLShow all
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cs.CL2019
A Benchmark Dataset for Learning to Intervene in Online Hate Speech
Jing Qian, Anna Bethke, Yinyin Liu +2
Countering online hate speech is a critical yet challenging task, but one which can be aided by the use of Natural Language Processing (NLP) techniques. Previous research has prima…
cs.CL2019★ 42 cited
Mitigating Gender Bias in Natural Language Processing: Literature Review
Tony Sun, Andrew Gaut, Shirlyn Tang +7
As Natural Language Processing (NLP) and Machine Learning (ML) tools rise in popularity, it becomes increasingly vital to recognize the role they play in shaping societal biases an…
cs.CL2019
Learning to Decipher Hate Symbols
Jing Qian, Mai ElSherief, Elizabeth Belding +1
Existing computational models to understand hate speech typically frame the problem as a simple classification task, bypassing the understanding of hate symbols (e.g., 14 words, ki…