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A method for evaluating modern systems of automatic text summarization

A method for evaluating modern systems of automatic text summarization Four modern systems of automatic text summarization are tested on the basis of a model vocabulary composed by subjects. Distribution of terms of the vocabulary in the source text is compared with their distribution in summaries of different length generated by the systems. Principles for evaluation of the efficiency of the current systems of automatic text summarization are described. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Automatic Documentation and Mathematical Linguistics Springer Journals

A method for evaluating modern systems of automatic text summarization

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References (12)

Publisher
Springer Journals
Copyright
Copyright © 2007 by Allerton Press, Inc.
Subject
Computer Science; Information Storage and Retrieval
ISSN
0005-1055
eISSN
1934-8371
DOI
10.3103/S0005105507030041
Publisher site
See Article on Publisher Site

Abstract

Four modern systems of automatic text summarization are tested on the basis of a model vocabulary composed by subjects. Distribution of terms of the vocabulary in the source text is compared with their distribution in summaries of different length generated by the systems. Principles for evaluation of the efficiency of the current systems of automatic text summarization are described.

Journal

Automatic Documentation and Mathematical LinguisticsSpringer Journals

Published: Jul 30, 2007

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