7 citations · 10 across the 2 of their papers we have counts for
2 papers
cs.CL2023★ 3 cited
Subtle Misogyny Detection and Mitigation: An Expert-Annotated Dataset
Brooklyn Sheppard, Anna Richter, Allison Cohen +5
Using novel approaches to dataset development, the Biasly dataset captures the nuance and subtlety of misogyny in ways that are unique within the literature. Built in collaboration…
cs.CL2021★ 7 cited
Ground-Truth, Whose Truth? -- Examining the Challenges with Annotating Toxic Text Datasets
Kofi Arhin, Ioana Baldini, Dennis Wei +2
The use of machine learning (ML)-based language models (LMs) to monitor content online is on the rise. For toxic text identification, task-specific fine-tuning of these models are…