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Malayalam Questions Classification in Question Answering Systems using Support Vector Machine

Bibin P.A1 , Babu Anto P2

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-1 , Page no. 724-729, Jan-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i1.724729

Online published on Jan 31, 2019

Copyright © Bibin P.A, Babu Anto P . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Bibin P.A, Babu Anto P, “Malayalam Questions Classification in Question Answering Systems using Support Vector Machine,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.1, pp.724-729, 2019.

MLA Style Citation: Bibin P.A, Babu Anto P "Malayalam Questions Classification in Question Answering Systems using Support Vector Machine." International Journal of Computer Sciences and Engineering 7.1 (2019): 724-729.

APA Style Citation: Bibin P.A, Babu Anto P, (2019). Malayalam Questions Classification in Question Answering Systems using Support Vector Machine. International Journal of Computer Sciences and Engineering, 7(1), 724-729.

BibTex Style Citation:
@article{P.A_2019,
author = {Bibin P.A, Babu Anto P},
title = {Malayalam Questions Classification in Question Answering Systems using Support Vector Machine},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {1 2019},
volume = {7},
Issue = {1},
month = {1},
year = {2019},
issn = {2347-2693},
pages = {724-729},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3573},
doi = {https://doi.org/10.26438/ijcse/v7i1.724729}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i1.724729}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3573
TI - Malayalam Questions Classification in Question Answering Systems using Support Vector Machine
T2 - International Journal of Computer Sciences and Engineering
AU - Bibin P.A, Babu Anto P
PY - 2019
DA - 2019/01/31
PB - IJCSE, Indore, INDIA
SP - 724-729
IS - 1
VL - 7
SN - 2347-2693
ER -

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Abstract

We consider Question answering systems (QAS) as the next step in information retrieval, allowing users to create questions in natural language and get concise answers. Researches show that exact classification of questions with respect to the expected answer type is imperative to make a successful QAS. The duty of classifying distinctive questions becomes hard and challenging because there are variety of Natural Language Questions. Due to the agglutinative nature researchers find so many difficulties in Malayalam based QAS. So a very limited researches have been done in classifying Malayalam Questions with the help of Machine Learning Techniques. In this paper, we have used Support Vector Machines (SVM) to classify Questions. In Malayalam we can classify the question into following types ????? (what), ??????? (when), ?????? (how), ?????(where), ???????????(why), ???? (how many/how much) and ???(who). For Malayalam Question classification using SVM 1is the average precision, 0.93 is the average recall and the average F1 Score is 0.95. So the outcome that we obtained shows the effectiveness of Support Vector Machines in classifying the question.

Key-Words / Index Term

Malayalam Question Classification, Support Vector Machine, Machine Learning, Question Answering

References

[1] V. Lopez, V. Uren, M. Sabou and E. Motta, “Is question answering fit for the Semantic Web? A survey “ , Semantic Web, Vol. 2, Issue. 2, pp. 125-155, 2011.
[2] S. K. Dwivedia, V. Singhb, “Research and reviews in question answering system”, International Conference on Computational Intelligence: Modeling Techniques and Applications (CIMTA), India, pp.417-424, 2013
[3] G. Suresh kumar, G. Zayaraz, “Concept relation extraction using Naïve Bayes classifier for ontology-based question answering systems”, Journal of King Saud University - Computer and Information Sciences, Vol. 27, Issue. 1, pp. 13-24, 2015.
[4] D. Mollá, J.L. Vicedo “Question answering in restricted domains: an overview “, Computational Linguistics, Vol. 33, issue. 1, pp. 41-61, 2007.
[5] N. Indurkhya, F.J. Damereau., “Handbook of Natural Language Processing (second ed.)” , Chapman & Hall/CRC, Boca Raton , 2010.
[6] V. Punyakanok, D. Roth, and W.-t. Yih., "Natural language inference via dependency tree mapping: An application to question answering", Computational Linguistics, Vol. 6, Issue. 9 pp. 1-10, 2004 .
[7] H Sundblad, "Question Classification in Question Answering systems", Phd Thesis Submitted to Department of Computer and information Science at Linkoping University, 2007.
[8] O. Kolomiyets , M.F. Moens., “A survey on question answering technology from an information retrieval perspective”, Information Sciences—Informatics and Computer Science, Intelligent Systems, Applications: An International Journal, Vol.181, Issue.24, pp. 5412-5434, 2011
[9] L. Hirschman, R. Gaizauskas, “ Natural language question answering: The view from here”, Natural Language Engineering, Vol.7, Issue.4, pp. 275-300, 2001.
[10] D.Zhang, W.S. Lee, “Question Classification Using Support Vector Machines”, Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Informaion Retrieval, ACM, Toronto, Canada, pp.26-32, 2003.
[11] V. Bhoir, M. A. Potey, "Question answering system: A heuristic approach," The Fifth International Conference on the Applications of Digital Information and Web Technologies (ICADIWT 2014), Bangalore, pp. 165-170, 2014.
[12] K. Pragisha, P. C. Reghuraj, “A Natural Language Question Answering System in Malayalam Using Domain Dependent Document Collection as Repository”, International Journal of Computational Linguistics and Natural Language Processing, Vol. 3 Issue. 3, pp.534-539, 2014.
[13] S. A. Raji , B. P. Anto , “ Intelligent Query Processing In Malayalam”, International Journal on Computational Sciences & Applications (IJCSA), Vol.3, Issue.2 pp. 51-59, 2013.
[14] B. Samei, H. Li, F. Keshtkar, V. Rus, A. C. Graesse, “Context-Based Speech Act Classification in Intelligent Tutoring Systems”, Intelligent Tutoring Systems. ITS 2014. Lecture Notes in Computer Science, Vol.8474, pp. 236-241, 2014
[15] C. Unger, C. Forascu, V. Lopez, A.C. Ngonga Ngomo, E. Cabrio, P. Cimiano, S. Walter, “ Question Answering over Linked Data (QALD-4)” , In L. Cappellato, N. Ferro, M. Halvey, & W. Kraaij (Eds.), Working Notes for CLEF 2014 Conference Sheffield, United Kingdom pp. 1172-1180, 2014.