Search Results for author:
Found 8 papers, 4 papers with code
Latent Hatred: A Benchmark for Understanding Implicit Hate Speech
Hate speech has grown significantly on social media, causing serious consequences for victims of all demographics.
Lifelong Learning of Hate Speech Classification on Social Media
In this work, we propose lifelong learning of hate speech classification on social media.
Towards Understanding Gender Bias in Relation Extraction
We use WikiGenderBias to evaluate systems for bias and find that NRE systems exhibit gender biased predictions and lay groundwork for future evaluation of bias in NRE.
Mitigating Gender Bias in Natural Language Processing: Literature Review
In this paper, we review contemporary studies on recognizing and mitigating gender bias in NLP.
Learning to Decipher Hate Symbols
Furthermore, we propose a novel Variational Decipher and show how it can generalize better to unseen hate symbols in a more challenging testing setting.
Hierarchical CVAE for Fine-Grained Hate Speech Classification
Existing work on automated hate speech detection typically focuses on binary classification or on differentiating among a small set of categories.
Hate Lingo: A Target-based Linguistic Analysis of Hate Speech in Social Media
While social media empowers freedom of expression and individual voices, it also enables anti-social behavior, online harassment, cyberbullying, and hate speech.
Leveraging Intra-User and Inter-User Representation Learning for Automated Hate Speech Detection
Hate speech detection is a critical, yet challenging problem in Natural Language Processing (NLP).
