most citedOversampling Higher-Performing Minorities During Machine Learning Model Training Reduces Adverse Impact Slightly but Also Reduces Model Accuracy

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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…