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Gravity based Punjabi Question Answering System

by Gursharan Singh Dhanjal, Sukhwinder Sharma, Paramjot Kaur Sarao
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 147 - Number 3
Year of Publication: 2016
Authors: Gursharan Singh Dhanjal, Sukhwinder Sharma, Paramjot Kaur Sarao
10.5120/ijca2016911057

Gursharan Singh Dhanjal, Sukhwinder Sharma, Paramjot Kaur Sarao . Gravity based Punjabi Question Answering System. International Journal of Computer Applications. 147, 3 ( Aug 2016), 30-35. DOI=10.5120/ijca2016911057

@article{ 10.5120/ijca2016911057,
author = { Gursharan Singh Dhanjal, Sukhwinder Sharma, Paramjot Kaur Sarao },
title = { Gravity based Punjabi Question Answering System },
journal = { International Journal of Computer Applications },
issue_date = { Aug 2016 },
volume = { 147 },
number = { 3 },
month = { Aug },
year = { 2016 },
issn = { 0975-8887 },
pages = { 30-35 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume147/number3/25636-2016911057/ },
doi = { 10.5120/ijca2016911057 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:50:57.044963+05:30
%A Gursharan Singh Dhanjal
%A Sukhwinder Sharma
%A Paramjot Kaur Sarao
%T Gravity based Punjabi Question Answering System
%J International Journal of Computer Applications
%@ 0975-8887
%V 147
%N 3
%P 30-35
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Question and answers systems are foundation for building intelligent information retrieval systems but, current server of these show that limited effort has been in building Punjabi Question Answer systems. This paper is an attempt to overcome this limitation. The research work is based on a concept taken from physics: Point of Gravity. In this approach the question and answer text are processed to extract numerical features so as to determine Point of Gravity. Matching Gravity Score values are computed for finding answer against a question query. Series of random evaluation sample sets show a high degree of overall system accuracy (above 91%) for each question type in terms of precision and recall. Individually the evaluation of each question type also shows not less than 91% accuracy in terms of precision.

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