DocumentCode
1903913
Title
Comparing four Methods to Select Keywords that Use n-Grams to Generate Summaries
Author
Bando, Lorena Leal ; López, Karina Rosales ; Vidal, Mireya Tovar ; Ayala, Darnes Vilariño ; Martínez, Beatriz Beltrán
Author_Institution
Benemerita Universidad Autonoma de Puebla, Mexico
fYear
2007
fDate
25-28 Sept. 2007
Firstpage
769
Lastpage
773
Abstract
In this paper an algorithm to generate document extracts is proposed. This extract is composed of the most significative sentences of the current document. These sentences are chosen by considering their similitude with a so-denominated Virtual Paragraph (VP). The VP is formed by the key words that are obtained by the four methods that use n-grams, employed in this research. The experiments are performed over 100 documents of the DUC-2000 collection.
Keywords
Automation; Automotive engineering; Data mining; FCC; Frequency; Genetic algorithms; Information retrieval; Logic; Robots; Vocabulary;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics, Robotics and Automotive Mechanics Conference, 2007. CERMA 2007
Conference_Location
Cuernavaca, Morelos, Mexico
Print_ISBN
978-0-7695-2974-5
Type
conf
DOI
10.1109/CERMA.2007.4367781
Filename
4367781
Link To Document