Sherlock: a semi-automatic quiz generation system using linked data
Dong Liu, Chenghua Lin · 2014
Abstract. This paper presents Sherlock, a semi-automatic quiz gener-ation system for educational purposes. By exploiting semantic and ma-chine 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.