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Paper Title : Comparison of the Methods use for Automated Testing of the Exam Papers

ISSN : 2395-1303
Year of Publication : 2020
10.29126/23951303/IJET-V6I3P2

Authors: -Aashka Vijapura,Itisha Paul,Leena Haorongbam

         


Abstract
- Manual correction of subjective examination papers can be time-consuming, difficult and may lead to unfair checking. Automation of a descriptive answer assessment procedure will help many universities and academic institutions. This paper aims to compare different approaches of NLP that will help in building the automated assessment mechanism of the examination papers. Some of the various methods discussed here are CNN, POS- Tagger. The aim is to select the best method to implement a system for automatic assessment of a descriptive answer.

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Keywords
NLP, CNN, POS-Tagger,