BERT has achieved impressive performance in several NLP tasks. However, there has been
limited investigation on its adaptation guidelines in specialised domains. Here we focus on …

In natural language processing, short-text semantic similarity (STSS) is a very prominent
field. It has a significant impact on a broad range of applications, such as question …

In recent years, aspect category detection has become popular due to the rapid growth in
customer reviews data on e-commerce and other online platforms. Aspect Category …

Automated short answer grading (ASAG) has gained attention in education as a means to
scale educational tasks to the growing number of students. Recent progress in Natural …

Massive open online courses (MOOCs) provide hundreds of students with teaching
materials, assessment tools, and collaborative instruments. The assessment activity, in …

Automatic short answer grading is an important research direction in the exploration of how
to use artificial intelligence (AI)-based tools to improve education. Current state-of-the-art …

Solving problems is crucial for learning physics, and not only final solutions but also their
derivations are important. Grading these derivations is labor intensive, as it generally …

We explore how different components of an Automatic Short Answer Grading (ASAG) model
affect the model's ability to generalize to questions outside of those used for training. For …

Semantics is a research field that has gained an extensive interest recently. This survey
describes recent works in the field of semantics, a part of the broader area of computational …

Automated scoring of open-ended student responses has the potential to significantly
reduce human grader effort. Recent advances in automated scoring leverage textual …