4 citations · 4 across the 1 of their papers we have counts for
3 papers
cs.CL2022★ 4 cited
Data-Efficient Strategies for Expanding Hate Speech Detection into Under-Resourced Languages
Paul Röttger, Debora Nozza, Federico Bianchi +1
Hate speech is a global phenomenon, but most hate speech datasets so far focus on English-language content. This hinders the development of more effective hate speech detection mod…
cs.CL2021
Temporal Adaptation of BERT and Performance on Downstream Document Classification: Insights from Social Media
Paul Röttger, Janet B. Pierrehumbert
Language use differs between domains and even within a domain, language use changes over time. For pre-trained language models like BERT, domain adaptation through continued pre-tr…
cs.CL2020
HateCheck: Functional Tests for Hate Speech Detection Models
Paul Röttger, Bertram Vidgen, Dong Nguyen +3
Detecting online hate is a difficult task that even state-of-the-art models struggle with. Typically, hate speech detection models are evaluated by measuring their performance on h…