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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
ain, we can attempt to extend it—or it extend itself--to deal with a broader range of problems using a much broader array of commonsense knowledge. Large-Scale Architectures for Human-level Intelligence In the afternoon, we discussed large-scale architectures for machines with human-level intelligence and common sense. Marvin Minsky and Aaron Sloma
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
ain, we can attempt to extend it--or it extend itself—to deal with a broader range of problems using a much broader array of commonsense knowledge. Large-Scale Architectures for Human-level Intelligence In the afternoon, we discussed large-scale architectures for machines with human-level intelligence and common sense. Marvin Minsky and Aaron Sloma
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
in, we can attempt to extend it--or it extend itself--to deal with a broader range of problems using a much broader array of commonsense knowledge. Large-Scale Architectures for Human-level Intelligence In the afternoon, we discussed large-scale architectures for machines with human-level intelligence and common sense. Marvin Minsky and Aaron Sloma
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