What Kinds of Knowledge are Needed for Genuine Understanding? ∗

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WinoGrande (2019, background): “Thus far, such systems are not robust when given examples that fall outside the data distribution that they were trained on (Gordon and Van Durme, 2013; Davis and Marcus, 2015; Schubert, 2015).”
An Adversarial Winograd Schema Challenge at Scale (2019, background): “Thus far, such systems are not robust when given examples that fall outside the data distribution that they were trained on (Gordon and Van Durme, 2013; Davis and Marcus, 2015; Schubert, 2015).”
WinoWhy: A Deep Diagnosis of Essential Commonsense Knowledge for Answering Winograd Schema Challenge (2020, background): “, 2019), reasoning (Schubert, 2015), property (Liu and Singh, 2004), and quantity (Elazar et al.”
Prerequisite Skills for Reading Comprehension: Multi-Perspective Analysis of MCTest Datasets and Systems (2017, methodology): “We will therefore refine the categorization of commonsense according to discussions by LoBue and Yates (2011), Schubert (2015) and Davis and Marcus (2015), among others.”
Cracking the Contextual Commonsense Code: Understanding Commonsense Reasoning Aptitude of Deep Contextual Representations (2019, background): “This critical difference of machine learning systems from human intelligence hurts performance when given examples outside the training data distribution (Gordon and van Durme, 2013; Schubert, 2015; Davis and Marcus, 2015; Sakaguchi et al., 2019).”