Generalization from natural language text

Abstract

Generalization and memory are part of natural language understanding. This paper describes a model of generalization that is part of a system for language understanding, the Integrated Partial Parser (IPP). The generalization process includes the retrieval of relevant examples from long-term memory so that the concepts to be created can be determined when new stories are read. Generalizations are analyzed as to their critical parts and evaluated in light of later evidence. The knowledge structures used and a number of examples of the system in operation are presented. © 1983.