liamdugan/summary-qg
Code for the ACL 2022 Paper "A Feasibility Study of Answer-Agnostic Question Generation for Education"
This tool helps educators, content creators, or trainers quickly generate relevant questions from educational texts or written materials. You provide an article, chapter, or any text, and it automatically summarizes it (for longer inputs) then outputs a list of question-and-answer pairs based on the content. This is designed for anyone creating quizzes, study guides, or interactive learning content.
No commits in the last 6 months.
Use this if you need to rapidly create educational questions from text to assess comprehension or reinforce learning.
Not ideal if you require highly nuanced, critical thinking questions that go beyond direct extraction from the text.
Stars
16
Forks
6
Language
Python
License
MIT
Category
Last pushed
Jul 05, 2022
Commits (30d)
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