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ns of the ACM 37, No. 7, 107-116 (1994). Accepted for publication May 17, 2002. J. McCarthy Stanford University Stanford, California M. Minsky Massachusetts Institute of Technology Cambridge, Massachusetts A. Sloman University of Birmingham Birmingham, UK L. Gong IBM Research Division Hawthorne, New York T. Lau IBM Research Divisi
minsky. (2.) The use of 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
ns of the ACM 37, No. 7, 107-116 (1994). Accepted for publication May 17, 2002. J. McCarthy Stanford University Stanford, California M. Minsky Massachusetts Institute of Technology Cambridge, Massachusetts A. Sloman University of Birmingham Birmingham, UK L. Gong IBM Research Division Hawthorne, New York T. Lau IBM Research Divisi
minsky. (2.) The use of 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
Harvard University; Penn tate University; Lenox Hill Hospital (New York); the Biomedical Research and Education Foundation; the Santa Fe Institute; Massachusetts Institute of Technology; Case Western Reserve University; and Harvard Medical School's Institute for Music and Brain Science. Moreover, Mr. Epstein has sponsored and chair
minsky. (2.) The use of 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
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