Accession Number : ADP001167

Title :   Distinguishing Fact from Opinion and Events from Meta-Events,

Corporate Author : LOGICON INC WOODLAND HILLS CA OPERATING SYSTEMS DIV

Personal Author(s) : Montgomery,Christine A.

Report Date : 01 FEB 1983

Pagination or Media Count : 7

Abstract : A major problem in automatically analyzing the text of military messages in order to synthesize data base elements is separating fact from opinion, i.e., identifying factual statements versus evaluate commentary such as degree of belief or confidence in the parameters of a particular event, comparative evaluations of entitles and events, predictions of future events, etc. This paper describes a model which accounts for the range of factual to evaluative information in the message traffic, and discusses a means for representing such information in the context of an experimental system for automated data base generation.

Descriptors :   *Text processing, *Message processing, *Data bases, *Natural language, Symposia, Artificial intelligence, Data management, Data bases, Computers, Models, Systems analysis, Test methods, Discriminate analysis, Test beds, Templates, Military applications, User needs, Human factors engineering, Computational linguistics, Experimental design

Distribution Statement : APPROVED FOR PUBLIC RELEASE