  Testing with quiz questions has proven to be an effective way to assess and
improve the educational process. However, manually creating quizzes is tedious
and time-consuming. To address this challenge, we present Leaf, a system for
generating multiple-choice questions from factual text. In addition to being
very well suited for the classroom, Leaf could also be used in an industrial
setting, e.g., to facilitate onboarding and knowledge sharing, or as a
component of chatbots, question answering systems, or Massive Open Online
Courses (MOOCs). The code and the demo are available on
https://github.com/KristiyanVachev/Leaf-Question-Generation.
