material ID: chaosnli

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What Can We Learn from Collective Human Opinions on Natural Language Inference Data?

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AbstractDespite the subjective nature of many NLP tasks, most NLU evaluations have focused on using the majority label with presumably high agreement as the ground truth. Less attention has been …...

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Stop Measuring Calibration When Humans Disagree

Authors: nan

Publication: TIPSTER (2022)

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AbstractCalibration is a popular framework to evaluate whether a classifier knows when it does not know - i.e., its predictive probabilities are a good indication of how likely a prediction …...

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