标题：State-of-the-Art Approach to e-Learning with Cutting Edge NLP Transformers: Implementing Text Summarization, Question and Distractor Generation, Question Answering
期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2022
卷号：13
期号：1
DOI：10.14569/IJACSA.2022.0130155
语种：English
出版社：Science and Information Society (SAI)
摘要：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.
关键词：Machine intelligence; natural language processing; neural networks; predictive models; text processing
