1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.CL2022★ 1 cited
Listening to Affected Communities to Define Extreme Speech: Dataset and Experiments
Antonis Maronikolakis, Axel Wisiorek, Leah Nann +3
Building on current work on multilingual hate speech (e.g., Ousidhoum et al. (2019)) and hate speech reduction (e.g., Sap et al. (2020)), we present XTREMESPEECH, a new hate speech…
cs.CL2021
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP
Timo Schick, Sahana Udupa, Hinrich Schütze
When trained on large, unfiltered crawls from the internet, language models pick up and reproduce all kinds of undesirable biases that can be found in the data: they often generate…