Research Article

Automatic Summarizer to aid a Q/A system

by  Rajarshi Das, Ajeesh Elikkottil
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 1 - Issue 19
Published: February 2010
Authors: Rajarshi Das, Ajeesh Elikkottil
10.5120/393-586
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Rajarshi Das, Ajeesh Elikkottil . Automatic Summarizer to aid a Q/A system. International Journal of Computer Applications. 1, 19 (February 2010), 108-112. DOI=10.5120/393-586

                        @article{ 10.5120/393-586,
                        author  = { Rajarshi Das,Ajeesh Elikkottil },
                        title   = { Automatic Summarizer to aid a Q/A system },
                        journal = { International Journal of Computer Applications },
                        year    = { 2010 },
                        volume  = { 1 },
                        number  = { 19 },
                        pages   = { 108-112 },
                        doi     = { 10.5120/393-586 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2010
                        %A Rajarshi Das
                        %A Ajeesh Elikkottil
                        %T Automatic Summarizer to aid a Q/A system%T 
                        %J International Journal of Computer Applications
                        %V 1
                        %N 19
                        %P 108-112
                        %R 10.5120/393-586
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper we couple a Q/A system with a summarizer and claim that an automatic summarizer coupled with a Q/A system will increase the efficiency of the Q/A system. Coupling a question-answering system with a text-summarization system may make the question-answering system more efficient without significantly altering the quality of results. This paper investigates methods to develop an extractive summarizer which aims to select the most important sentences which could be a possible answer to a given query.

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Index Terms
Computer Science
Information Sciences
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Keywords

Up-Keys Summarization Q/A System Key-Words

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