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A NET STRUCTURE FOR SEMANTIC INFORMATION STORAGE, DEDUCATION AND RETRIEVAL

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Abstract

This paper describes a data structure, MENS (MEmory Net Structure), that is useful for storing semantic information stemming from a natural language, and a system, MENTAL (MEmory Net That Answers and Learns) that interacts with a user (human or program), stores information into and retrieves information from MENS and interprets some information in MENS as rules telling it how to deduce new information from what is already stored. MENTAL can be used as a guestion-answering system with formatted input /output, as a vehicle for experimenting with various theories of semantic structures or as the memory management portion of a natural language question-answering system.

Original languageEnglish
Title of host publicationProceedings of the 2nd International Joint Conference on Artificial Intelligence, IJCAI 1971
PublisherInternational Joint Conferences on Artificial Intelligence
Pages512-523
Number of pages12
ISBN (Electronic)0934613346
StatePublished - 1971
Event2nd International Joint Conference on Artificial Intelligence, IJCAI 1971 - London, United Kingdom
Duration: Sep 1 1971Sep 3 1971

Publication series

NameIJCAI International Joint Conference on Artificial Intelligence
ISSN (Print)1045-0823

Conference

Conference2nd International Joint Conference on Artificial Intelligence, IJCAI 1971
Country/TerritoryUnited Kingdom
CityLondon
Period09/1/7109/3/71

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