Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning

@article{Huang2019CosmosQM,
  title={Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning},
  author={Lifu Huang and Ronan Le Bras and Chandra Bhagavatula and Yejin Choi},
  journal={ArXiv},
  year={2019},
  volume={abs/1909.00277}
}
  • Lifu Huang, Ronan Le Bras, +1 author Yejin Choi
  • Published 2019
  • Computer Science
  • ArXiv
  • Understanding narratives requires reading between the lines, which in turn, requires interpreting the likely causes and effects of events, even when they are not mentioned explicitly. [...] Key Method To establish baseline performances on Cosmos QA, we experiment with several state-of-the-art neural architectures for reading comprehension, and also propose a new architecture that improves over the competitive baselines. Experimental results demonstrate a significant gap between machine (68.4%) and human…Expand Abstract
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