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20172021
most citedMitigating Gender Bias in Natural Language Processing: Literature Review

42 citations · 43 across the 4 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

cs.AI2018

SafeRoute: Learning to Navigate Streets Safely in an Urban Environment

Sharon Levy, Wenhan Xiong, Elizabeth Belding +1

Recent studies show that 85% of women have changed their traveled route to avoid harassment and assault. Despite this, current mapping tools do not empower users with information t…

cs.CL2018

Hierarchical CVAE for Fine-Grained Hate Speech Classification

Jing Qian, Mai ElSherief, Elizabeth Belding +1

Existing work on automated hate speech detection typically focuses on binary classification or on differentiating among a small set of categories. In this paper, we propose a novel…

cs.SI2018

Peer to Peer Hate: Hate Speech Instigators and Their Targets

Mai ElSherief, Shirin Nilizadeh, Dana Nguyen +2

While social media has become an empowering agent to individual voices and freedom of expression, it also facilitates anti-social behaviors including online harassment, cyberbullyi…

cs.CL2018

Hate Lingo: A Target-based Linguistic Analysis of Hate Speech in Social Media

Mai ElSherief, Vivek Kulkarni, Dana Nguyen +2

While social media empowers freedom of expression and individual voices, it also enables anti-social behavior, online harassment, cyberbullying, and hate speech. In this paper, we…

cs.CL2018

Leveraging Intra-User and Inter-User Representation Learning for Automated Hate Speech Detection

Jing Qian, Mai ElSherief, Elizabeth M. Belding +1

Hate speech detection is a critical, yet challenging problem in Natural Language Processing (NLP). Despite the existence of numerous studies dedicated to the development of NLP hat…