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 …

Large language models built upon artificial intelligence (AI) hold great promises to innovate
automatic short answer scoring (ASAS)-significantly alleviating educators' workload in …

Most research in the area of automatic essay grading (AEG) is geared towards scoring the
essay holistically while there has also been some work done on scoring individual essay …

The Eye Movements on Machine-Generated Texts Corpus (EMTeC) is a naturalistic eye-
movements-while-reading corpus of 107 native English speakers reading machine …

Automatic detection of cognates helps downstream NLP tasks of Machine Translation, Cross-
lingual Information Retrieval, Computational Phylogenetics and Cross-lingual Named Entity …

Nested name entity recognition (NER) is a fundamental information extraction task. Although
many model architectures have been proposed to solve this task, human annotators still …

Neural based approaches to automatic evaluation of subjective responses have shown
superior performance and efficiency compared to traditional rule-based and feature …

Abstract The Automatic Essay Scoring (AES) task aims to automatically evaluate the quality
of papers through machines, thereby reducing the burden on teachers and improving the …

Automatic essay grading (AEG) is a process in which machines assign a grade to an essay
written in response to a topic, called the prompt. Zero-shot AEG is when we train a system to …

As artificial intelligence advances rapidly, Automated Essay Scoring (AES) technology has
made significant strides, effectively addressing the challenges of high labor intensity and …