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Understanding Deep Learning Performance through an Examination of Test Set Difficulty: A Psychometric Case Study

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Figure

Table 1: Examples of sentence pairs from the SNLI data sets, their corresponding gold-standard label, anddifficulty parameter (bi) as measured by IRT (§2.1).
Figure 1: Contour plots showing log-odds of labeling an item correctly for NLI (top row) and SA (bottomrow) as a function of training set size (x-axis) and item difficulty (y-axis)

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