Supporting environmental scanning and organizational communication with the processing of text: the use of computer-generated abstracts

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Title: Supporting environmental scanning and organizational communication with the processing of text: the use of computer-generated abstracts
Author: Morris, Andrew H.
Abstract: This research proposes a model text -based decision support system designed to support the activities of environmental scanning and organizational communication by actively filtering and condensing text . To filter textbased information requires the use of automatic routing schemes ; to condense text requires the use of computergenerated abstracts or extracts . A key element in the model system is the ability of the computer to condense text by generating short abstracts of documents . Two approaches to condensing text have been proposed : (1 ) using natural language processing techniques to construct a knowledge base of the document contents , from which to write an abstract , and (2 ) employing algorithm based extracting systems to generate extracts of important sentences and phrases . Systems using natural language techniques are still being researched ; most are successful only in limited domains . Systems using extracting algorithms have been researched , but have not been applied to the problem of information overload in an organizational decision -making context . These two approaches were tested in a laboratory setting with student subjects .
URI: http : / /hdl .handle .net /2346 /11888
Date: 1988-05

Citation

Morris, Andrew H. Supporting environmental scanning and organizational communication with the processing of text: the use of computer-generated abstracts. Doctoral dissertation, Texas Tech University. Available electronically from http : / /hdl .handle .net /2346 /11888 .

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