Text simplification is an intralingual translation task in which documents, or sentences of a
complex source text are simplified for a target audience. The success of automatic text …

Large language models (eg, GPT-4) are uniquely capable of producing highly rated text
simplification, yet current human evaluation methods fail to provide a clear understanding of …

Text simplification research has mostly focused on sentence-level simplification, even
though many desirable edits-such as adding relevant background information or reordering …

This paper explores the literature of automatic text simplification (ATS) centered on the
notion of operations. Operations are the processed of applying certain modifications to a …

Citations are a fundamental and indispensable part of research writing. They provide
support and lend credibility to research findings. Recent GPT-fueled interest in large …

Our research aims at better understanding what makes a text difficult to read for specific
audiences with intellectual disabilities, more specifically, people who have limitations in …

Automatic evaluation metrics are indispensable for text simplification (TS) research. The past
TS research adopts three evaluation aspects: fluency, meaning preservation and simplicity …

[EN] We introduce a dataset with 1200 manually simplified sentences (144 019 tokens) from
clinical trials in Spanish. A total of 1040 announcements from the European Clinical Trials …

Language produced by Public Administrations has crucial implications in citizens' lives.
However, its syntactic complexity and the use of legal jargon, among other factors, make it …

In natural language processing (NLP), many tasks involve structured prediction: predicting
structured outputs consisting of a group of interdependent variables. This allows extracting …