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iversity, New Haven, CT (1989). (15.) C. Dolan, Tensor Manipulation Networks: Connectionist and Symbolic Approaches to Comprehension, Learning, and Planning, Technical Report 890030, Computer Science Department, University of California, Los Angeles, CA (1989). (16.) E.T. Mueller, Natural Language Processing with Thought
Report 890030, Computer Science Department, University of California, Los Angeles, CA (1989). (16.) E.T. Mueller, Natural Language Processing with ThoughtTreasure, Signiform, New York (1998), full text of book available on line at http://www.signiform.com/tt/book/. (17.) L. G. Alexander, Longman English Gramm
iversity, New Haven, CT (1989). (15.) C. Dolan, Tensor Manipulation Networks: Connectionist and Symbolic Approaches to Comprehension, Learning, and Planning, Technical Report 890030, Computer Science Department, University of California, Los Angeles, CA (1989). (16.) E.T. Mueller, Natural Language Processing with Thought
g a story by building and maintaining a simulation that models the mental and physical states and events described in the story, as demonstrated in ThoughtTreasure. (16) The advantage of this approach is that it is easy to answer questions about the story simply by examining the contents of the simulation. Cri
iversity, New Haven, CT (1989). (15.) C. Dolan, Tensor Manipulation Networks: Connectionist and Symbolic Approaches to Comprehension, Learning, and Planning, Technical Report 890030, Computer Science Department, University of California, Los Angeles, CA (1989). (16.) E.T. Mueller, Natural Language Processing with Thought
Report 890030, Computer Science Department, University of California, Los Angeles, CA (1989). (16.) E.T. Mueller, Natural Language Processing with ThoughtTreasure, Signiform, New York (1998), full text of book available on line at http://wvAv.signiform.comitt/booW. (17.) L. G. Alexander, Longman English Gramm
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