We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Reseach Article

An Improved Answer Retrieval System Taping the Linkage Structure for Noisy SMS Queries

by Gaurav Batra, Mansi Goel
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 44 - Number 19
Year of Publication: 2012
Authors: Gaurav Batra, Mansi Goel
10.5120/6374-8825

Gaurav Batra, Mansi Goel . An Improved Answer Retrieval System Taping the Linkage Structure for Noisy SMS Queries. International Journal of Computer Applications. 44, 19 ( April 2012), 36-40. DOI=10.5120/6374-8825

@article{ 10.5120/6374-8825,
author = { Gaurav Batra, Mansi Goel },
title = { An Improved Answer Retrieval System Taping the Linkage Structure for Noisy SMS Queries },
journal = { International Journal of Computer Applications },
issue_date = { April 2012 },
volume = { 44 },
number = { 19 },
month = { April },
year = { 2012 },
issn = { 0975-8887 },
pages = { 36-40 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume44/number19/6374-8825/ },
doi = { 10.5120/6374-8825 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:36:01.262562+05:30
%A Gaurav Batra
%A Mansi Goel
%T An Improved Answer Retrieval System Taping the Linkage Structure for Noisy SMS Queries
%J International Journal of Computer Applications
%@ 0975-8887
%V 44
%N 19
%P 36-40
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The advent of technology has not only tailored the scientific and research work but has also sufficed to the needs of a commoner. Although communication and online support has become quite contemporary yet it requires huge amount of human resource to meet the varied demands. In this paper a server application is proposed which provides automated support for the customer queries via Short Messaging Service (SMS). It facilitates a layman with an instant answer to any of his query. The system is highly capable of handling inherent noise present in the queries and also taps their syntactic and semantic structure. This approach performs two functions simultaneously. One of which is handling of noise and inferring the best possible question, which the user actually meant to ask. Second is to match the refined question with the existing database of questions and then provide a corresponding answer

References
  1. Danish Contractor, Govind Kothari, Tanveer A. Faruquie, L. Venkata Subramaniam, Sumit Negi. "Handling noisy queries in cross language FAQ retrieval" EMNLP'10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing.
  2. Akhil Langer, Rohit Banga , Ankush Mittal, and L. V. Subramaniam . "Variant Search and Syntactic Tree Similarity Based Approach to Retrieve Matching Questions for SMS queries" Proceeding AND '10 Proceedings of the fourth workshop on Analytics for noisy unstructured text data.
  3. Govind Kothari, Sumit Negi, Tanveer A. Faruquie, Venkatesan T. Chakaravarthy, L. Venkata Subramaniam. "SMS based interface for FAQ retrieval" ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 2 - Volume 2.
  4. J. Chen, L. Subramanian, and E. Brewer, "SMS-Based Web Search for Low-end Mobile Devices," in MobiCom '10. New York, NY, USA: ACM, 2010, pp. 125–136.
  5. Robin D. Burke, Kristian J. Hammond, Vladimir A. Kulyukin, Steven L. Lytinen, Noriko Tomuro, Scott Schoenberg, "Question Answering from Frequently-Asked Question Files: Experiences with the FAQ Finder System" AI Magazine Vol. 18 Pg. 57--66
  6. "The Soundex Indexing System" National Archives and Records Administration. 2007-05-30. Retrieved 2010-12-24.
  7. Soundex Agorithm "phonetic-string-comparison-with-soundex" http://www. blackbeltcoder. com/Articles/algorithms/phonetic-string-comparison-with-soundex
  8. Cormen, Thomas H. ; Leiserson, Charles E. , Rivest, Ronald L. , Stein, Clifford (2009)
  9. . Introduction to Algorithms (3rd Ed. ). MIT Press and McGraw-Hill. ISBN 0-262-03384-4.
  10. "Levenshtein Distance, in Three Flavors" by Michael Gilleland, http://www. merriampark. com/ld. htm.
  11. Praveen Kumar, Shrikant Kashyap, Ankush Mittal, And Sumit Gupta . International Jl. on E-Learning (2005) 4(1), 149-166.
  12. Temperley, D. , Sleator, D. , & Lafferty, J. (1993) Parsing English with a link grammar. Third Annual Workshop on Parsing Technologies.
  13. Gonzalo, J. , Verdejo, F. , Chugur, I. , & Cigarran, J. (1998). Indexing with WordNet synsets can improve text retrieval. Proceedings of the COLING/ACL '98 Workshop on Usage of WordNet for NLP. Montreal, Canada, 38-44.
  14. WordNet Structure - http://wordnet. princeton. edu/
  15. Cody Kwok, Oren Etzioni, Daniel S. Weld, "Scaling question answering to the web" ACM Transactions on Information Systems (TOIS) Volume 19 Issue 3, July 2001.
  16. D. Contractor, T. A. Faruquie, and L. V. Subramaniam, 2010. Unsupervised Cleansing of Noisy Text. In Proceedings of the 23rd International Conference on Computational Linguistics: Posters, pages 189–196. Association for Computational Linguistics.
  17. Stephan Gouws; Dirk Hovy; Donald Metzler. "Unsupervised Mining of Lexical Variants from Noisy Text" Proceedings of the First workshop on Unsupervised Learning in NL. July, 2011. Association for Computational Linguistics, Page 82-90. http://www. aclweb. org/anthology/W11-2210
Index Terms

Computer Science
Information Sciences

Keywords

Faq Noise Query Extraction Question Answering System Retrieval