Your English writing platform
Free sign upSuggestions(2)
Exact(60)
Sherlock is distinguished from existing quiz generation systems in its generic framework for domain-independent quiz generation as well as in the ability of controlling the difficulty level of the generated quizzes.
In this paper, we presented Sherlock, a generic framework for generating educational quizzes using linked data.
Furthermore, Sherlock also provides a generic framework for generating quizzes of multiple domains with minimum human effort, and its effectiveness has been evaluated on datasets from three different domains.
As a key novelty, a unified and generic framework for model generation (i.e. design of experiments, nonlinear model structure) and observer parametrisation is presented.
In another set of experiments, we further evaluate Sherlock as a generic framework for quiz generation by testing the system on datasets from three different domains.
Another key contribution of this paper is that we developed a generic framework for semi-automatic quiz generation, which can be reused in different domains with minimum human efforts.
The obvious advantage of a generic framework for MARS would be its applicability to various domains.
A generic framework for designing DTs to support participatory planning in the forest sector is proposed.
Further research should focus on developing a generic framework for thematic soil mapping at different scales.
This paper presents a generic framework for knowledge discovery in massive BAS data using DM techniques.
Further attempt have been made to present a generic framework for providing SPV power system.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com