The Perspectivist Paradigm Shift: Assumptions and Challenges of Capturing Human Labels
URL Stage https://arxiv.org/abs/2405.05860 Model Drift/Model Crisis Paradigm framing The preprint focuses on the paradigm shift in data labeling from the traditional “ground truth” paradigm to the “perspectivist” paradigm, particularly within the field of Natural Language Processing. Highlights The preprint argues for a “perspectivist turn” in machine learning, challenging the established paradigm that treats annotator disagreement […]
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