Title :
Comparing four Methods to Select Keywords that Use n-Grams to Generate Summaries
Author :
Lorena Leal Bando;Karina Rosales Lopez;Mireya Tovar Vidal;Darnes Vilarino Ayala;Beatriz Beltran Martinez
Author_Institution :
Benemerita Universidad Autonoma de Puebla, Mexico
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 :
"Data mining","Robots","Automotive engineering","FCC","Logic","Automation","Information retrieval","Frequency","Genetic algorithms","Vocabulary"
Conference_Titel :
Electronics, Robotics and Automotive Mechanics Conference, 2007. CERMA 2007
Print_ISBN :
0-7695-2974-7;978-0-7695-2974-5
DOI :
10.1109/CERMA.2007.4367773
