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Computational Intelligence Framework for Automatic Quiz Question Generation

机译：自动测验问题生成的计算智能框架

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摘要

Computational intelligence techniques are attracting more and more attention in NLP and text analysis applications. This paper is devoted to their use in automatic question generation based on text analysis with the goal to develop the computational intelligence framework that should automate or semi-automate the process of quiz and exam question generation. The framework operation is based on information retrieval and NLP algorithms. It incorporates the application of production rules, LSTM neural network models, and other intelligent techniques. It allows generating multiple choice questions, true and false questions as well as "Wh"-type (What? When? How?) questions. Automation procedures for each type question generation are developed, presented and analyzed. The typical challenges in framework development and application are considered and possible solutions are discussed. The results of the framework application and its use for quiz generation in a real college class are presented and analyzed.
机译：在NLP和文本分析应用程序中，计算智能技术吸引了越来越多的关注。本文致力于在基于文本分析的自动问题生成中使用它们，目的是开发应该使测验和考试问题生成过程自动化或半自动化的计算智能框架。框架操作基于信息检索和NLP算法。它结合了生产规则，LSTM神经网络模型和其他智能技术的应用。它允许生成多项选择题，对错题和“ Wh”型（什么？何时？如何？）问题。开发，呈现和分析每种类型的问题的自动化程序。考虑了框架开发和应用中的典型挑战，并讨论了可能的解决方案。提出并分析了该框架应用的结果及其在实际大学班级中的测验生成中的应用。

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