Abstract

Amid the worldwide wave of pandemic lockdowns, there has been a remarkable growth in E-learning. Online learning has become a challenge for students. It has become difficult for students to find the content they need. The mounting accessibility of textual content has necessitated comprehensive study in the areas of automatic text summarization and question generation. Multiple Choice Questions is very smooth for evaluations, and its assessment is implemented through computerized applications in order that results may be declared within some hours, and the evaluation system is 100% pure. The system proposes an interactive reading platform where the user can upload an E-Book and get textual summary and generates questions like MCQs, fill in the blanks and one word. The user can also evaluate the questions answered. The proposed system is an all-in-one interactive reading platform.

Highlights

  • The “Live with Covid” era has notably modified the manner we live

  • Multiple Choice Questions is very smooth for evaluations, and its assessment is implemented through computerized applications in order that results may be declared within some hours, and the evaluation system is 100% pure

  • The search was narrowed down to research that only perform Abstractive Text Processing [2] which includes the tasks like text summarization, Question generation and question answering

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Summary

INTRODUCTION

The “Live with Covid” era has notably modified the manner we live. The field of education can't isolate itself from the drastic adjustments, resulting in the near-total closures of schools, early childhood education and care (ECEC) services, colleges, and universities [1]. With the development of information technology, more and more information appears on the internet, retrieving the needed information and making sense out of huge data becomes difficult for users. There comes a need for a system which can provide us with summarization and question generation for easier and quicker retrieving of relevant information from huge chunks of data and to test the understanding of the subject through assessments. In. Section IV, Literature Survey was carried out wherein, technical research papers and some existing systems were studied.

REVIEW AND PLANNING
TEXT PROCESSING ALGORITHMS
LSTM versus Transformers
T5 Transformer
BERT Transformer
BART Model
Distractor Generator for Incorrect Options
LITERATURE SURVEY
SURVEY INFERENCE
PROPOSED SYSTEM
IMPLEMENTATION
Summary Generation and Self-Assesment Script
Question Answering for a Question asked in Context of a Specific Page Script
Text Summarization
Question Answering
Key Points
Findings
CONCLUSION
Full Text
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