QA System

1. Question answering system for agriculture domain using machine
learning techniques: literature survey and challenges
PrashantY. Niranjan Related information
1
Departmentof Computer Science and Engg,KLS's Gogte Institute of Technology, Belagavi, India
, Vijay S. Rajpurohit Related information
2
Departmentof Computer Science and Engg,KLS's Gogte Institute of Technology, Belagavi, India
, SanjeevS. Sannakki Related information
3
Departmentof Computer Science and Engg,KLS's Gogte Institute of Technology, Belagavi, India
https://doi.org/10.1504/IJCSYSE.2020.111208
Published online 26 October 2020
 Abstract
 PDF
Abstract
Natural language processing (NLP) is a part of artificial intelligence and computer science.Question answering
system that provides an interaction between computers and human languages,itis role to program the
computers to process and analyse the large amounts ofhuman language data.It is one of the importantaspects
in all domains and helps in every domain to satisfythe people requirements.Now a day's almostall people are
literate and using the mobile phone to receive the up to date information as per their requirement.QAS can be
used to provide succinctinformation for the questions thatare being asked by user and it provides answers to
users based on some rules which are stored in the data base.This survey paper details aboutwhatis question
answering system and its previous related work with respectto methods,technologies or approaches thatwere
used.It provides research gaps and future scope to the researches in the reviewed papers,which helps
researchers to choose a suitable solution to their problems wherein available comparative analyses have been
provided.
Keywords: question-answering,QAS, natural language processing,NLP,answer extraction, human-computer
interaction,artificial intelligence