Publications
Test-Score Semantics for Natural Languages and Meaning Representation via PRUF
May, 1981
Journal
SRIPublication
Abstract
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.
Focus Areas:
Computing
Divisions:
Information + Computing Sciences
Centers + Labs:
Artificial Intelligence Center 
