Доверительный интервал

metric ID: confidenceinterval

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Is Your Classifier Actually Biased? Measuring Fairness under Uncertainty with Bernstein Bounds

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractMost NLP datasets are not annotated with protected attributes such as gender, making it difficult to measure classification bias using standard measures of fairness (e.g., equal opportunity). However, manually annotating …...

37185

A Statistical Analysis of Summarization Evaluation Metrics Using Resampling Methods

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractThe quality of a summarization evaluation metric is quantified by calculating the correlation between its scores and human annotations across a large number of summaries. Currently, it is unclear how …...

26838