论文标题
叶：多项选择问题一代
Leaf: Multiple-Choice Question Generation
论文作者
论文摘要
事实证明，使用测验问题进行测试是评估和改善教育过程的有效方法。但是，手动创建测验是乏味且耗时的。为了应对这一挑战，我们提出了LEAF，这是一种从事实文本中产生多项选择问题的系统。除了非常适合教室外，LEAF还可以在工业环境中使用，例如促进入职和知识共享，或者作为聊天机器人的组成部分，问答系统或大规模开放的在线课程（MOOC）。该代码和演示可在https://github.com/kristiyanvachev/leaf-question-generation上找到。
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.
