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reading comprehension tests as a metric for evaluating story understanding systems was previously proposed in L. Hirschman, M. Light, E. Breck, and J. Burger, "Deep Read: A Reading Comprehension System," Proceedings of the 37th Annual Meeting of the Association for Computational Linguistics, College Park
mans, such as solving integrals, they have difficulty performing commonsense tasks that are easy for humans, such as understanding stories. In this Technical Forum contribution, we discuss commonsense reasoning and what makes it difficult for computers. We contend that commonsense reasoning is too hard a proble
reading comprehension tests as a metric for evaluating story understanding systems was previously proposed in L. Hirschman, M. Light, E. I3reck, and J. Burger, "Deep Read: A Reading Comprehension System," Proceedings of the 37th Annual Meeting of the Association for Computational Linguistics, College Park
mans, such as solving integrals, they have difficulty performing commonsense tasks that are easy for humans, such as understanding stories. In this Technical Forum contribution, we discuss commonsense reasoning and what makes it difficult for computers. We contend that commonsense reasoning is too hard a proble
reading comprehension tests as a metric for evaluating story understanding systems was previously proposed in L. Hirschman, M. Light, E. Brcck, and J. Burger, "Deep Read: A Reading Comprehension System," Proceedings of the 37th Annual Meeting of the Association for Computational Linguistics, College Park
mans, such as solving integrals, they have difficulty performing commonsense tasks that are easy for humans, such as understanding stories. In this Technical Forum contribution, we discuss commonsense reasoning and what makes it difficult for computers. We contend that commonsense reasoning is too hard a proble
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