Explaining transformer-based models for automatic short answer grading
Andrew Poulton, Sebas Eliëns · 2021
Over recent years, advances in natural language processing have brought ever more advanced and expressive language models to the world. With open-source implementations and model registries, these state-of-the-art models are freely available to anyone, and the successful application of transfer learning has meant benchmarks on previously difficult tasks can be beaten with relative ease.