A Context Based Text Summarization System

Text summarization is the process of creating a shorter version of one or more text documents. Automatic text summarization has become an important way of finding relevant information in large text libraries or in the Internet. Extractive text summarization techniques select entire sentences from do...

Full description

Saved in:
Bibliographic Details
Published in2014 11th IAPR International Workshop on Document Analysis Systems pp. 66 - 70
Main Authors Ferreira, Rafael, Freitas, Frederico, De Souza Cabral, Luciano, Dueire Lins, Rafael, Lima, Rinaldo, Franca, Gabriel, Simske, Steven J., Favaro, Luciano
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2014
Subjects
Abstracts
Algorithm design and analysis
Blogs
Context
Document Engineering
Educational institutions
Gold
Text Summarization
Text Summarization Evaluation
Online AccessGet full text

Cover

More Information
Summary:Text summarization is the process of creating a shorter version of one or more text documents. Automatic text summarization has become an important way of finding relevant information in large text libraries or in the Internet. Extractive text summarization techniques select entire sentences from documents according to some criteria to form a summary. Sentence scoring is the technique most used for extractive text summarization, today. Depending on the context, however, some techniques may yield better results than some others. This paper advocates the thesis that the quality of the summary obtained with combinations of sentence scoring methods depend on text subject. Such hypothesis is evaluated using three different contexts: news, blogs and articles. The results obtained show the validity of the hypothesis formulated and point at which techniques are more effective in each of those contexts studied.
ISBN:1479932434
9781479932436
DOI:10.1109/DAS.2014.19