Question Answering System Using Natural Language Processing

Authors

  • Atharva Mangeshkumar Agrawal
  • Akhil Atri
  • Ayanesh Chowdhury
  • Rajeev Koneru
  • Kedareswara Abhinav Batchu
  • Sai Charan Reddy Mallavaram

Keywords:

NLP, QA system

Abstract

Question Answering (QA) system in facts retrieval is a venture of mechanically answering an accurate answer to the questions requested by way of human in natural language the use of either a pre-structured database or a collection of natural language documents. It gives simplest the asked statistics as opposed to looking complete files like seek engine. As facts in everyday lifestyles is growing, to be able to retrieve the precise fragment of data even for a simple query calls for massive and high-priced assets. This is the paper which describes the distinctive technique and implementation information of question answering machine for popular language and additionally proposes the closed domain QA System for dealing with documents related to education acts sections to retrieve more specific answers using NLP strategies.

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Published

12-12-2021

Issue

Section

Articles

How to Cite

[1]
A. M. Agrawal, A. Atri, A. Chowdhury, R. Koneru, K. A. Batchu, and S. C. R. Mallavaram, “Question Answering System Using Natural Language Processing”, IJRESM, vol. 4, no. 12, pp. 16–19, Dec. 2021, Accessed: Dec. 14, 2024. [Online]. Available: https://journal.ijresm.com/index.php/ijresm/article/view/1578

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