Fine-tuning Transformer-based approaches have recently shown exciting results on
sentence simplification task. However, so far, no research has applied similar approaches to …

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 …

In this work, we explore the problem of complex text detection. This problem is a frequent
challenge when implementing text simplification pipelines. Identifying complex text …

Text readability assessment aims to automatically evaluate the degree of reading difficulty of
a given text for a specific group of readers. Most of the previous studies considered it as a …

Sentence simplification is to rephrase a sentence into a form that is easier to read and
understand while preserving its essential meaning and information. Recently, monolingual …

Sentence simplification aims at making the structure of text easier to read and understand
while maintaining its original meaning. This can be helpful for people with disabilities, new …

This paper presents Patent-CR, the first dataset created for the patent claim revision task in
English. It includes both initial patent applications rejected by patent examiners and the final …

Text simplification, crucial in natural language processing, aims to make texts more
comprehensible, particularly for specific groups like visually impaired Spanish speakers, a …

Though exponentially growing health-related literature has been made available to a broad
audience online, the language of scientific articles can be difficult for the general public to …

Some variants of self-supervised denoising objectives for pre-training encoder-decoder
language models have been reported to have a negligible impact on downstream …