Word Level Similarity Auto-Evaluation for an Online Question Answering System

Abstract

Over the last decade, the educational system has undergone numerous changes, the most significant of which is the shift in learning and examination methods. Educational institutions are gradually going into online instruction and education, which is altering students' and parents' perceptions of learning. The scenario of Covid-19 has seriously raised demand for online subjective examination and evaluation process to be automated. Paraphrasing is the challenge while designing and evaluation an fully automated Question Answering System. This paper has shown the word level similarity for evaluation one word answer of fill in the blank types of question taken in real time scenario.