Conceptual memory: a theory and computer program for processing the meaning content of natural-language utterances.
Computational understanding: analysis of sentences and context.
Computational understanding: analysis of sentences and context.
TINLAP '75 Proceedings of the 1975 workshop on Theoretical issues in natural language processing
Problem-Solving Methods in Artificial Intelligence
Problem-Solving Methods in Artificial Intelligence
Margie memory, analysis, response generation, and inference on English
IJCAI'73 Proceedings of the 3rd international joint conference on Artificial intelligence
A model of the common-sense theory of intention and personal causation
IJCAI'73 Proceedings of the 3rd international joint conference on Artificial intelligence
CONTEXT'05 Proceedings of the 5th international conference on Modeling and Using Context
| Hi-index | 0.00 |
This paper describes a context mechanism for a natural language understanding system. Since no sentence is ever perceived outside some context, it is reasonable to inquire into the nature of context as it affects the interpretation of sentence meaning at a deep conceptual level. A theory, called conceptual oyerlays, is described. This theory (1) defines C(T1,..., Ti), the context established by the meaningful sequence of thouqhts T1...Tj: (2) defines I(Tj+1, C(T1,... Tj)), the high-level interpretation of Ti+i in the context established by Ti,.,.,Ti; and (3) specifies an effective algorithm and data structure for computing I(t,K) for arbitrary thought T in context K. In particular, a prototype LISP system, EX-SPECTRE-1, which solves simple cases of I(T2., C(T1)) is described. The system is based on an expectancy/fulfillment paradigm. Expectancies are spontaneously activated by a pattern-directed invocation technique. Each expectancy implicitly references large chunks of common-sense algorithms. A collection of such implicitly activated algorithms constitutes context, and the interpretive process is one of identifying future input as steps in these algorithms. Context switching and uses of I(T,K) in a language comprehension system are discussed.