Open Access   Article Go Back

Enhanced Answer Generation from Web Information

Umesh S. Chaudhari1 , Shivaji B. Patil2 , Omprakash B. Bhange3 , Amin R. Abbas4

Section:Review Paper, Product Type: Journal Paper
Volume-3 , Issue-3 , Page no. 156-159, Mar-2015

Online published on Mar 31, 2015

Copyright © Umesh S. Chaudhari , Shivaji B. Patil,Omprakash B. Bhange , Amin R. Abbas . 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.

View this paper at   Google Scholar | DPI Digital Library

XML View
PDF Download

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: Umesh S. Chaudhari , Shivaji B. Patil,Omprakash B. Bhange , Amin R. Abbas, “Enhanced Answer Generation from Web Information,” International Journal of Computer Sciences and Engineering, Vol.3, Issue.3, pp.156-159, 2015.

MLA Style Citation: Umesh S. Chaudhari , Shivaji B. Patil,Omprakash B. Bhange , Amin R. Abbas "Enhanced Answer Generation from Web Information." International Journal of Computer Sciences and Engineering 3.3 (2015): 156-159.

APA Style Citation: Umesh S. Chaudhari , Shivaji B. Patil,Omprakash B. Bhange , Amin R. Abbas, (2015). Enhanced Answer Generation from Web Information. International Journal of Computer Sciences and Engineering, 3(3), 156-159.

BibTex Style Citation:
@article{Chaudhari_2015,
author = { Umesh S. Chaudhari , Shivaji B. Patil,Omprakash B. Bhange , Amin R. Abbas},
title = {Enhanced Answer Generation from Web Information},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2015},
volume = {3},
Issue = {3},
month = {3},
year = {2015},
issn = {2347-2693},
pages = {156-159},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=440},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=440
TI - Enhanced Answer Generation from Web Information
T2 - International Journal of Computer Sciences and Engineering
AU - Umesh S. Chaudhari , Shivaji B. Patil,Omprakash B. Bhange , Amin R. Abbas
PY - 2015
DA - 2015/03/31
PB - IJCSE, Indore, INDIA
SP - 156-159
IS - 3
VL - 3
SN - 2347-2693
ER -

VIEWS PDF XML
2463 2363 downloads 2550 downloads
  
  
           

Abstract

Nowadays Question answering services have gained very popular. It helps all members to post and answer questions as well enables general users to check information from a total set of well answered questions. But, existing QA applications mainly provides only textual answers, which are not enough understandable for many questions. In this paper, we are going to create a scheme that is able to provide textual answers in Question answering with particular media data. This approach get easily checks which type of media information should be added for answers. It then collects data from the web to enrich the answer. This web application type service contain three facts: answer medium selection, query generation for multimedia search, and multimedia data selection and presentation. To answer any query this system process a large set of QA pairs and add them to a pool, it can enable a novel multimedia question answering (MMQA) approach as users can find multimedia answers by matching their questions with those in the pool. There are many different QA research efforts that finds directly answer questions with multimedia data i.e. images and videos, but our approach is created based on community contributed textual question answers and thus it is helps to deal with more day to day needed community complex questions. We have conducted much performances on a multisource QA database’s. The results demonstrate the effectiveness of our approach.

Key-Words / Index Term

Web Information, MMQA, QA, Multimedia Search Reranking

References

[1]. Liqiang Nie ,meng Wang,Zheng jun Zha,Yue Gao IEEE members”Beyond Text QA:Multimedia Answer Generation by Harvesting Web Information-2013”
[2]. S. A Quarteroni and S. Manandhar, “Designing an interactive open domain question answering system,” J. Natural Lang. Eng., vol. 15, no. 1, pp. 73–95, 2008.
[3]. L. A. Adamic, J. Zhang, E. Bakshy, and M. S. Ackerman, “Knowledge sharing and Yahoo answers: Everyone knows something,” in Proc. Int. World Wide Web Conf., 2008.
[4]. G. Zoltan, K. Georgia, P. Jan, and G.-M. Hector, Questioning Yahoo! Answers, Stanford InfoLab, 2007, Tech. Rep.
[5]. H. Yang, T.-S. Chua, S. Wang, and C.-K. Koh, “Structured use of external knowledge for event-based open domain question answering,” in Proc. ACM Int. SIGIR Conf., 2003.
[6]. Trec: The Text Retrieval Conf. [Online]. Available: http://trec.nist.gov/.