Outlier detection is critical to a large number of applications from finance fraud detection to
health care. Although numerous approaches have been proposed to automatically detect …

In the realm of online tutoring intelligent systems, e‐learners are exposed to a substantial
volume of learning content. The extraction and organization of exercises and skills hold …

We demonstrate that thermodynamic knowledge acquired by humans can be transferred to
computers so that the machine can use it to solve thermodynamic problems and produce …

As the demands for large-scale information processing have grown, knowledge graph-
based approaches have gained prominence for representing general and domain …

Knowledge graph has become an essential tool for semantic analysis with the development
of natural language processing and deep learning. A high-quality knowledge graph is handy …

Abstract Knowledge graphs are widely applied in many applications. Automatically solving
mathematical exercises is also an interesting task which can be enhanced by knowledge …

The modern labor market demands that educational institutions prepare specialists capable
of effectively responding to rapidly changing professional standards and technologies. In …

In educational practice, math word problems (MWPs) are important material to train pupils' to
solve real-world math problems. In this paper, our focus is on the learning-based topic …