Consensus Text Summarizer Based on Meta-Search Algorithms

Author

Thapar, Vishal ; Mohamed, Ahmed A. ; Rajasekaran, Sanguthevar

Author_Institution

Dept. of Comput. Sci. & Eng., Connecticut Univ., Storrs, CT

fYear

2006

fDate

Aug. 2006

Firstpage

403

Lastpage

407

Abstract

Text summarization is an important problem, which has numerous applications. This problem has been extensively studied and many approaches have been proposed in the literature for its solution. In this paper, we investigate a new approach that employs meta-search. In particular, summaries from several summarizers are evaluated and a new summary is formed from these summaries. Clearly, this meta-summarizer will produce a better summary than any of the others since it exploits the special features of all the sources. We have employed data from Document Understanding Conference 2002 (DUC-2002) and 5 different summarizers in our experiments. We have also created our own summarizer

Keywords

meta data; text analysis; consensus text summarizer; meta-search algorithms; Application software; Computer science; Data mining; Engines; Information retrieval; Information technology; Libraries; Metasearch; Signal processing algorithms; Topology; Meta-Summarizer; document graph; meta-search; text summarization;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Information Technology, 2006 IEEE International Symposium on

Conference_Location

Vancouver, BC

Print_ISBN

0-7803-9753-3

Electronic_ISBN

0-7803-9754-1

Type

conf

DOI

10.1109/ISSPIT.2006.270834

Filename

4042276