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ESPRIT: Explaining Solutions to Physical Reasoning Tasks
[article]
2020
arXiv
pre-print
Neural networks lack the ability to reason about qualitative physics and so cannot generalize to scenarios and tasks unseen during training. We propose ESPRIT, a framework for commonsense reasoning about qualitative physics in natural language that generates interpretable descriptions of physical events. We use a two-step approach of first identifying the pivotal physical events in an environment and then generating natural language descriptions of those events using a data-to-text approach.
arXiv:2005.00730v2
fatcat:owaben5c7fe67exmfoaw4bqu5a