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
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;
Conference_Titel :
Electronics, Robotics and Automotive Mechanics Conference, 2007. CERMA 2007
Conference_Location :
Cuernavaca, Morelos, Mexico
Print_ISBN :
978-0-7695-2974-5
DOI :
10.1109/CERMA.2007.4367781
