Framework for Automatic Generation of Questions from Text


Good readers ask themselves questions while reading or preparing for competitive exams. Today, automatic generation of questions is a considerable problem by many researchers. The Automatic question generation can be classified into two broad spectrums: Interactive question answering system and educational assessment. In this project the testing was done from the educational assessment point of view. This report describes the process of generating multiple choice questions, true and false questions as well as Wh- questions, by selecting topically important sentences at a time and using various techniques and pattern matching to construct a question. The goal of this project is to ease the process of the manually generating questions for online quiz as well as on other hand students can use it to prepare for competitive exams. The question generation system is built with an objective to semi automate /automate the process to generate questions for exams and quizzes. Most of the system will be based on information retrieval and classic NLP algorithm approaches. In the following sections will be discussing the design of the modules, the technical stack of the project and the management of the system.

Framework for Automatic Generation of Questions from Text : Available Modules (2)


Title Updated At Action
Report 2019-10-28 08:30:26
Poster 2019-10-28 08:30:26
Title Updated At Action

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