Physical Object Representation and Generalization: A Survey of Programs for Semantic-Based Natural Language Processing
Kenneth Wasserman · 1984
This article surveys a portion of the field of natural language processing. The main areas considered are those dealing with representation schemes, particularly work on physical object rep-resentation, and generalization processes driven by natural lan-guage understanding The emphasis of this article is on concep-tual representation of objects based on the semantic interpretation of natural language input. Six programs serve as case studies for guiding the course of the article. Within the framework of de-scribing each of these programs, several other programs, ideas, and theories that are relevant to the program in focus are pre-sented. RECENT ADVANCES in natural language processing [NLP] have generated considerable interest within the Ar-tificial Intelligence [AI] and Cognitive Science communities.