Deep Learning Based Question Answering System: A Review

Mohammad Aalam , Prof. Suaib Ahmad , Prof. Mohd Haroon

Question Answering, Deep Learning, Information Retrieval

Selecting the answer clause is the task of selecting sentences that contain an answer to a particular question. This is an important problem in itself and in the wider context of answering open-ended questions. In this paper, we examine the various details of the question-answering system and identify the various challenges in developing the system for answering new questions.

Published Paper   E-Certificate

"Deep Learning Based Question Answering System: A Review", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.4, Issue 7, page no.430 - 433, July-2019, Available :https://ijsdr.org/papers/IJSDR1907073.pdf

Volume 4 Issue 7, July-2019

Pages : 430 - 433

Paper Reg. ID: IJSDR_190858

Published Paper Id: IJSDR1907073

Downloads: 000347093

Research Area: Engineering

Country: Lucknow, Uttar Pradesh, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1907073

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1907073

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition