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Evolution of Techniques for Question Answering over Knowledge Base: A Survey

by Ashish Salunkhe
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 177 - Number 34
Year of Publication: 2020
Authors: Ashish Salunkhe
10.5120/ijca2020919817

Ashish Salunkhe . Evolution of Techniques for Question Answering over Knowledge Base: A Survey. International Journal of Computer Applications. 177, 34 ( Jan 2020), 9-14. DOI=10.5120/ijca2020919817

@article{ 10.5120/ijca2020919817,
author = { Ashish Salunkhe },
title = { Evolution of Techniques for Question Answering over Knowledge Base: A Survey },
journal = { International Journal of Computer Applications },
issue_date = { Jan 2020 },
volume = { 177 },
number = { 34 },
month = { Jan },
year = { 2020 },
issn = { 0975-8887 },
pages = { 9-14 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume177/number34/31120-2020919817/ },
doi = { 10.5120/ijca2020919817 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:49:07.500819+05:30
%A Ashish Salunkhe
%T Evolution of Techniques for Question Answering over Knowledge Base: A Survey
%J International Journal of Computer Applications
%@ 0975-8887
%V 177
%N 34
%P 9-14
%D 2020
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, a brief study of the advancements in the Question Answering domain as a type of information retrieval system is presented. Question Answering systems are responsible to provide answers to the questions proposed over a knowledge base in natural language to retrieve the required information. The promising results achieved in Question Answering in Natural Language Processing are discussed. The aim is to cover a concise yet complete understanding of the advances in Question Answering Systems classified based on domain and question type and brief information about metrics used to evaluate the system.

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Data mining text mining question answering classification named entity recognition neural networks pos tagging

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