CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

A Survey of Natural Language Question Answering System

by Unmesh Sasikumar, Sindhu L
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 108 - Number 15
Year of Publication: 2014
Authors: Unmesh Sasikumar, Sindhu L
10.5120/18991-0444

Unmesh Sasikumar, Sindhu L . A Survey of Natural Language Question Answering System. International Journal of Computer Applications. 108, 15 ( December 2014), 42-46. DOI=10.5120/18991-0444

@article{ 10.5120/18991-0444,
author = { Unmesh Sasikumar, Sindhu L },
title = { A Survey of Natural Language Question Answering System },
journal = { International Journal of Computer Applications },
issue_date = { December 2014 },
volume = { 108 },
number = { 15 },
month = { December },
year = { 2014 },
issn = { 0975-8887 },
pages = { 42-46 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume108/number15/18991-0444/ },
doi = { 10.5120/18991-0444 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:43:36.545456+05:30
%A Unmesh Sasikumar
%A Sindhu L
%T A Survey of Natural Language Question Answering System
%J International Journal of Computer Applications
%@ 0975-8887
%V 108
%N 15
%P 42-46
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In Question answering (QA) system retrieves the precise information from large documents according to user query. This survey paper describe the different methods of natural language question answering system (NLQA) for general languages. QA System automatically retrieve correct responses to the question asked by the human in natural languages.

References
  1. Surdeanu M, Moldovan D, (2003) "On the role of Information Retrieval and Information Extraction in Question Answering Systems, " Information Extraction in Web Era - Springer.
  2. Tuffis D, (2011) "Natural Language Question Answering in Open Domains, " Computer Science Journal of Moldova.
  3. Kwok C, Etzioni O, Weld D S, (2001) "Scaling Question Answering to the Web," ACM Transactions on Information Systems.
  4. Sucunuta M E, Riofrio G E, (2010) "Architecture of a Question-Answering System for a Specific Repository of Documents, " In 2nd International Conference on Software Technology and Engineering.
  5. Clark P, Thompson J, and Porter B. A knowledge-based approach to question answering. In Proceedings of AAAI'99 Fall Symposium on Question-Answering Systems, 1999, pp. 43-51
  6. Katz B. Annotating the World Wide Web using natural language. In Proceedings of the 5th RIAO conference on Computer Assisted Information Searching on the Internet, 1997, pp. 136-159.
  7. Chung H, Song YI, Han KS, Yoon DS, Lee JY, and Rim HC. A practical QA System in Restricted Domains. In Workshop on Question Answering in Restricted Domains. 42nd Annual Meeting of the Association for Computational Linguistics (ACL), 2004, pp. 39-45.
  8. Cai D, Dong Y, Lv D, Zhang G, Miao X. A Web-based Chinese question answering with answer validation. In Proceedings of IEEE International Conference on Natural Language Processing and Knowledge Engineering, pp. 499-502, 2005.
  9. Ittycheriah A, Franz M, Zhu WJ, Ratnaparkhi A and Mammone RJ. IBM's statistical question answering system. In Proceedings of the Text Retrieval Conference TREC-9, 2000.
  10. Athira P. M. , Sreeja M. and P. C. Reghuraj Department of Computer Science and Engineering, Government Engineering College, Sreekrishnapuram, Palakkad, Kerala, India, 678633. Architecture of an Ontology-Based Domain-Specific Natural Language Question Answering System.
  11. Pragisha K. "design and implementation of a QA system in Malayalam".
  12. Sanjay K Dwivedi, Vaishali Singh. Research and reviews in question answering system Department of Computer Science, B. B. A. University (A Central University) Luck now, Uttar Pradesh, 226025, India.
  13. Poonam Gupta, Vishal Gupta Assistant Professor, Computer Science & Engineering Department University Institute of Engineering & Technology Panjab University, Chandigarh.
  14. Kolomiyets, Oleksander. And Moens, Marie-Francine. "A survey on question answering technology from an information retrieval perspective". Journal of Information Sciences 181, 2011. 5412-5434. DOI: 10. 1016/j. ins. 2011. 07. 047. Elsevier.
  15. Moreda, Paloma. , Llorens Hector. , Saquete, Estela. And Palomar, Manuel. "Combining semantic information in question answering systems" Journal of Information Processing and Management 47, 2011. 870- 885. DOI: 10. 1016/j. ipm. 2010. 03. 008. Elsevier.
  16. Ko, Jeongwoo. , Si, Luo. , and Nyberg Eric. "Combining evidence with a probabilistic framework for answer ranking and answer merging in question answering" Journal: Information Processing and Management 46, 2010 541-554. DOI: 10. 1016/j. ipm. 2009. 11. 004. Elsevier.
  17. Pachpind Priyanka P, Bornare Harshita N, Kshirsagar Rutumbhara B, Malve Ashish D BE Comp S. N. D COE & RC, YEOLA," An Automatic Answering System Using Template Matching For Natural Language Questions".
Index Terms

Computer Science
Information Sciences

Keywords

Factual questions Question Answering System closed domain system Information Retrieval Natural Language Processing and Information Extraction.

Powered by PhDFocusTM