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Title:      AUTOMATIC SUMMARIZER BASED ON PRAGMATIC PROFILES
Author(s):      Marcus V. C. Guelpeli , Ana Cristina Bicharra Garcia
ISBN:      978-972-8924-44-7
Editors:      Pedro Isaías , Miguel Baptista Nunes and João Barroso (associate editors Luís Rodrigues and Patrícia Barbosa)
Year:      2007
Edition:      V II, 2
Keywords:      Automatic summarizer, Pragmatic profiles, Ideal extracts, Automatic compression
Type:      Short Paper
First Page:      149
Last Page:      153
Language:      English
Cover:      cover          
Full Contents:      click to dowload Download
Paper Abstract:      The aim of this paper is to make a proposal for an automatic summarizer based on pragmatic profiles. It uses a traditional algorithm for the field/area of automatic summarization to be compared with the results of the profile algorithm. This methodology was developed to emphasize the importance of the word within each sentence as an index of grammatical development. In this way, we propose a classification of the original text in relation to its temporal measurements and textual composition vis a vis its formality, allowing for parameters to determine the level of compression automatically in order to generate the summary.
   

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