Sherlock: a Semi-Automatic Quiz Generation System using Linked Data

نویسندگان

  • Dong Liu
  • Chenghua Lin
چکیده

This paper presents Sherlock, a semi-automatic quiz generation system for educational purposes. By exploiting semantic and machine learning technologies, Sherlock not only offers a generic framework for domain independent quiz generation, but also provides a mechanism for automatically controlling the difficulty level of the generated quizzes. We evaluate the effectiveness of the system based on three real-world datasets.

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تاریخ انتشار 2014