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Cracking the Contextual Commonsense Code: Understanding Commonsense Reasoning Aptitude of Deep Contextual Representations

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Figure 1: Swarm plots showing attribute fit scores for GloVe (left) and BERT (right). Each dot represents asingle attribute, displayed along the x-axis according to the classifier’s ability to fit that feature with the givenembeddings
Table 1: Comparison of median logistic classifier fit scores (out of 100 percent fit) across categories defined inCSLB.
Table 3: Results for attribute classification with Con-ceptNet as a knowledge graph source.
Figure 3: Linear regression fit of accuracy on MCScript2.0, per attribute, versus fit score, with the inner 90percent bootstrap confidence intervals highlighted (n =1000)
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