Abstract Conventional Automated Essay Scoring (AES) measures may cause severe
problems when directly applied in scoring Automatic Speech Recognition (ASR) …

Automatic Essay Scoring (AES) is the automatic process of identifying scores for a particular
essay answer. Such a task has been extensively addressed by the literature where two main …

Writing in language tests is regarded as an important indicator for assessing language skills
of test takers. As Chinese language tests become popular, scoring a large number of essays …

Automated essay scoring (AES) has emerged as a secondary or as a sole marker for many
high-stakes educational assessments, in native and non-native testing, owing to remarkable …

Automated essay scoring with latent semantic analysis (LSA) has recently been subject to
increasing interest. Although previous authors have achieved grade ranges similar to those …

Automated essay scoring (AES) applies machine learning and NLP techniques to
automatically rate essays written in an educational setting, by which the workload of human …

Automatic essay scoring (AES) is an essential educational application using natural
language processing and deep learning. However, enacting advanced deep learning …

Automated essay scoring is concerned with the development of language technologies that
make it possible for an essay–or any piece of writing for that matter–to be evaluated or …

ABSTRACT Automated Essay Scoring (AES) aims to assign a proper score to an essay
written by a given prompt, which is a significant application of Natural Language Processing …

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 …