Objective Plain language in medicine has long been advocated as a way to improve patient
understanding and engagement. As the field of Natural Language Processing has …

Since the late 1990s, automatic text simplification (ATS) was promoted as a natural
language processing (NLP) task with great potential to make texts more accessible to …

The curse of knowledge can impede communication between experts and laymen. We
propose a new task of expertise style transfer and contribute a manually annotated dataset …

Even in highly-developed countries, as many as 15–30% of the population can only
understand texts written using a basic vocabulary. Their understanding of everyday texts is …

This paper presents an overview of, and the results from, the 2024 Shared Task on
Reproducibility of Evaluations in NLP (ReproNLP'24), following on from three previous …

This paper outlines the ethical implications of text simplification within the framework of
assistive systems. We argue that a distinction should be made between the technologies …

The global COVID-19 pandemic has put everyone in an urgent need of accessing and
comprehending health information online. Meanwhile, there has been vast amount of …

The goal of text simplification (TS) is to transform difficult text into a version that is easier to
understand and more broadly accessible to a wide variety of readers. In some domains …

Automatic text simplification can help patients to better understand their own clinical notes. A
major hurdle for the development of clinical text simplification methods is the lack of high …

Physicians and patients often come from different backgrounds and have varying levels of
education, which can result in communication difficulties in the healthcare process. To …