Open AccessNatural Language Query Based Question Answering System
Author(s) -
Soumya Priyadarsini Panda,
Vikash K. Pandit,
Rohit Kumar,
S. Chaturvedi,
Angsuman Das
Publication year - 2020
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.b3522.029320
Subject(s) - question answering , computer science , query language , natural language , information retrieval , rdf query language , domain (mathematical analysis) , field (mathematics) , natural language user interface , query expansion , natural language processing , artificial intelligence , web search query , web query classification , search engine , mathematical analysis , mathematics , pure mathematics
Development of natural language query based automatic question answering system is in huge demand these days and is a rapidly growing field. It is considered to be the most powerful application for answering different user queries not only on limited domains but also in multi domain environments. In this work, a natural language query based intelligible question answering system is presented that extracts relevant answers from the documents and present the answer in a pre-defined format to the user. A comparative study of the presented model with the traditional techniques is also presented.