seanie12/neural-question-generation
Pytorch implementation of Paragraph-level Neural Question Generation with Maxout Pointer and Gated Self-attention Networks
This project helps educators, content creators, or trainers automatically generate relevant questions from text. You provide a paragraph or document, and it outputs a list of potential questions that can be used for quizzes, study guides, or comprehension checks. It's designed for anyone needing to quickly create assessment materials from existing written content.
140 stars. No commits in the last 6 months.
Use this if you need to rapidly create comprehension questions from long articles, academic papers, or educational materials.
Not ideal if you require highly nuanced, critical thinking questions or if your source material is very short and simple.
Stars
140
Forks
31
Language
Python
License
MIT
Category
Last pushed
Sep 18, 2020
Commits (30d)
0
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