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Generalization From Natural Language Text *
Author(s) -
Lebowitz Michael
Publication year - 1983
Publication title -
cognitive science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.498
H-Index - 114
eISSN - 1551-6709
pISSN - 0364-0213
DOI - 10.1207/s15516709cog0701_1
Subject(s) - generalization , computer science , natural language processing , natural language , parsing , artificial intelligence , natural (archaeology) , term (time) , process (computing) , cognitive science , programming language , psychology , mathematics , mathematical analysis , physics , archaeology , quantum mechanics , history
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.