INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
An Approach to Summarize the Text Document to Retrieve Answers for Non-factoid Queries
Authors Name:
Manjula A K
, Ramya R S , Dr Venugopal K R
Unique Id:
IJSDR1811072
Published In:
Volume 3 Issue 11, November-2018
Abstract:
ABSTRACT: This paper formulates a document summarization method which extracts the answers of passage size for non-factoid queries, which are referred as answer-influenced summaries. In this paper three methods are demonstrated for optimization they are question-biased, answer-biased CQA and extended question biased here extension terms are formulated from associated CQA data. The methods of ranking are also demonstrated which consists of features taken from CQA data. The quality of CQA data will affect the precision of the summary of optimization based. On the other hand the method of ranking is not much influenced by the quality of CQA. Suggestion is provided for the best use of the three optimization methods with respect to the different CQA quality of answers. In further research the accuracy is judged by other dataset which are open source. Most of the community information sharing website will contain answers which are shared according to user experience, these answers are collectively taken to find a better answer and one big answer will contain various information. The answers are used to expand the questions and answers among the search websites; this unique feature makes this approach for perfect answer generation.
Keywords:
Keywords: Summarize text document, Answer influenced summaries, document summarization, CQA data
Cite Article:
"An Approach to Summarize the Text Document to Retrieve Answers for Non-factoid Queries", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.3, Issue 11, page no.407 - 415, November-2018, Available :http://www.ijsdr.org/papers/IJSDR1811072.pdf
Downloads:
000336256
Publication Details:
Published Paper ID: IJSDR1811072
Registration ID:180856
Published In: Volume 3 Issue 11, November-2018
DOI (Digital Object Identifier):
Page No: 407 - 415
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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