Karen Mazidi, Rodney D. Nielsen
Automatic Question Generation from text is a critical component of educational technology applications such as Intelligent Tutoring Systems. We describe an automatic question generator that uses semantic-based templates. We evaluate the system along with two comparable systems for both linguistic quality and pedagogical value of generated questions and find that our system outperforms prior work.
The final publication is available at Springer via https://doi.org/10.1007/978-3-319-07221-0_36