Despite being investigated for over 50 years, the task of automated essay scoring continues
to draw a lot of attention in the natural language processing community in part because of its …

Deep learning is transforming most areas of science and technology, including electron
microscopy. This review paper offers a practical perspective aimed at developers with …

Traditional automated essay scoring systems rely on carefully designed features to evaluate
and score essays. The performance of such systems is tightly bound to the quality of the …

Neural network models have recently been applied to the task of automatic essay scoring,
giving promising results. Existing work used recurrent neural networks and convolutional …

In recent years, pre-trained models have become dominant in most natural language
processing (NLP) tasks. However, in the area of Automated Essay Scoring (AES), pre …

Automated essay scoring (AES) is the task of automatically assigning scores to essays as an
alternative to grading by human raters. Conventional AES typically relies on handcrafted …

Automated essay scoring (AES) is the task of automatically assigning scores to essays as an
alternative to grading by humans. Although traditional AES models typically rely on manually …

Most natural language processing research now recommends large Transformer-based
models with fine-tuning for supervised classification tasks; older strategies like bag-of-words …

One of the major challenges in machine learning nowadays is to provide predictions with not
only high accuracy but also user-friendly explanations. Although in recent years we have …

Essay scoring is a complicated processing requiring analyzing, summarizing and judging
expertise. Traditional work on essay scoring focused on automatic handcrafted features …