Assimilation of New Information by a Natural Language Understanding System
Assimilation of New Information by a Natural Language Understanding System
Translation Differences and Pragmatics-Based MT
Machine Translation
Why good writing is easier to understand
IJCAI'83 Proceedings of the Eighth international joint conference on Artificial intelligence - Volume 2
Understanding medical jargon as if it were a natural language
IJCAI'79 Proceedings of the 6th international joint conference on Artificial intelligence - Volume 1
On the operationality/generality trade-off in explanation-based learning
IJCAI'87 Proceedings of the 10th international joint conference on Artificial intelligence - Volume 1
Learning schemata for natural language processing
IJCAI'85 Proceedings of the 9th international joint conference on Artificial intelligence - Volume 1
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A language comprehension program using "frames", "scripts", etc. must be able to decide which frames are appropriate to the text. Often there will be explicit indication ("Fred was playing tennis" suggests the TENNIS frame) but it is not always so easy. ("The woman waved while the man on the stage sawed her in half" suggests MAGICIAN but how?) This paper will examine how a program might go about determining the appropriate frame in such cases. At a sufficiently vague level the model presented here will resemble that of Minsky (1975) in it's assumption that one usually has available one or more context frames. Hence one only needs worry if information comes in which does not fit them. As opposed to Minsky however the suggestions for new context frames will not come from the old ones, but rather from the conflicting information. The problem them becomes how potential frames are indexed under the information which "suggests" them.