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iven Understanding: An Integrated Theory of Story Understanding, Memory, and Learning, Technical Report YALE/DCS(tr710, Computer Science Department. Yale University, New Haven, CT (1989). (15.) C. Dolan, Tensor Manipulation Networks: Connectionist and Symbolic Approaches to Comprehension, Learning, and Planning
e stories. An early system built by Charniak (9) used a single mechanism, test-action demons, for making inferences in understanding. In the 1970s, Schank and Abelson (10) proposed scripts, plans, and goals as knowledge structures for understanding. These knowledge structures were incorporated into the
-Driven Understanding: An Integrated Theory of Story Understanding, Memory, and Learning, Technical Report YALVDCS4710, Computer Science Department, Yale University, New Haven, CT (1989). (15.) C. Dolan, Tensor Manipulation Networks: Connectionist and Symbolic Approaches to Comprehension, Learning, and Planning
e stories. An early system built by Charniak (9) used a single mechanism, test-action demons, for making inferences in understanding. In the 1970s, Schank and Abelson (10) proposed scripts, plans, and goals as knowledge structures for understanding. These knowledge structures were incorporated into the
iven Understanding: An Integrated Theory of Story Understanding, Memory, and Learning, Technical Report YALE/DCSitr710, Computer Science Department, Yale University, New Haven, CT (1989). (15.) C. Dolan, Tensor Manipulation Networks: Connectionist and Symbolic Approaches to Comprehension, Learning, and Planning
le stories. An early system built by Chamiak (9) used a single mechanism, test-action demons, for making inferences in understanding. In the 1970s, Schank and Abelson (10) proposed scripts, plans, and goals as knowledge structures for understanding. These knowledge structures were incorporated into the
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