Test-Score Semantics for Natural Languages and Meaning Representation via PRUF
by Zadeh, Lotfi A.
Technical Note 247
Institution: AI Center, SRI International
Address: 333 Ravenswood Ave, Menlo Park, CA 94025
May 1981.
In a sharp departure from conventional approaches to the problem of meaning representation in natural languages, test-score semantics is based on the premise that almost everything that relates to natural language is a matter of degree. Thus, in test-score semantics, predicates, propositions and other types of linguistic entities are treated as collections of elastic constraints on a set of objects or relations in a universe of discourse.
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