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Impact of Question Classification on Accuracy of Question Answering System

by Divya Panicker, Archana Chaugule
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 156 - Number 11
Year of Publication: 2016
Authors: Divya Panicker, Archana Chaugule
10.5120/ijca2016912568

Divya Panicker, Archana Chaugule . Impact of Question Classification on Accuracy of Question Answering System. International Journal of Computer Applications. 156, 11 ( Dec 2016), 31-34. DOI=10.5120/ijca2016912568

@article{ 10.5120/ijca2016912568,
author = { Divya Panicker, Archana Chaugule },
title = { Impact of Question Classification on Accuracy of Question Answering System },
journal = { International Journal of Computer Applications },
issue_date = { Dec 2016 },
volume = { 156 },
number = { 11 },
month = { Dec },
year = { 2016 },
issn = { 0975-8887 },
pages = { 31-34 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume156/number11/26755-2016912568/ },
doi = { 10.5120/ijca2016912568 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:02:21.997022+05:30
%A Divya Panicker
%A Archana Chaugule
%T Impact of Question Classification on Accuracy of Question Answering System
%J International Journal of Computer Applications
%@ 0975-8887
%V 156
%N 11
%P 31-34
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Question answering system provides the user with functionality to get precise answer of the question articulated in their natural language. Question classification is a vital part of any question answering system. The accuracy of answer provide by question answering system heavily depends on the way question is classified. Accurate question classification leads to retrieval of exact answer in question answering system. Extracting whether a question is subjective or objective helps in analyzing the actual structure of answer expected by the users.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Question answering Question classification Information retrieval Natural Language Processing neural networks.

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