Question generation using state-of-the-art Natural Language Processing algorithms
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Updated
Dec 8, 2023 - Python
Question generation using state-of-the-art Natural Language Processing algorithms
Generating multiple choice questions from text using Machine Learning.
This is a smart Quiz Generator that generates a dynamic quiz from any uploaded text/PDF document using NLP. This can be used for self-analysis, question paper generation, and evaluation, thus reducing human effort.
Implement Question Generator with SOTA pre-trained Language Models (RoBERTa, BERT, GPT, BART, T5, etc.)
Neural Models for Key Phrase Detection and Question Generation
Question Answering dataset generator of Document Visual in English and Chinese
LIQUID: A Framework for List Question Anwering Dataset Generation (AAAI 2023)
Generating flashcards from lecture notes
A web app to generate questions for PDF DOC you upload on-the-go!
Ask Me: Question Generating Agent
Question Generator for math word problem.
An online portal for educational organizations to conduct online examinations and help with the generation of factual questions from text.
Gap filled question generator
A system to generate random educational questions from given templates.
Automatic Question Generation (AQG) is a process by which computer systems generate natural-language questions (interrogative-form sentences).
This is a package for generating questions and answers from unstructured data to be used for NLP tasks.
Python package to generate common strings used in moodle for users (not admin level) and manage exported files from moodle and generate files for import.
Sample PHP Site for lecturers who creates MCQ question with multiple answers and also upload the image questions.
A tool used to generate questions from lecture transcripts using template extraction from sample questions asked by real students. Performed using SRL.
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