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cs.CL2023
GRASP: A Disagreement Analysis Framework to Assess Group Associations in Perspectives
Vinodkumar Prabhakaran, Christopher Homan, Lora Aroyo +6
Human annotation plays a core role in machine learning -- annotations for supervised models, safety guardrails for generative models, and human feedback for reinforcement learning,…
cs.CL2022
Few Clean Instances Help Denoising Distant Supervision
Yufang Liu, Ziyin Huang, Yijun Wang +5
Existing distantly supervised relation extractors usually rely on noisy data for both model training and evaluation, which may lead to garbage-in-garbage-out systems. To alleviate…