Text simplification aims at making a text easier to read and understand by simplifying
grammar and structure while keeping the underlying information identical. It is often …

Sentence Simplification (SS) aims to modify a sentence in order to make it easier to read
and understand. In order to do so, several rewriting transformations can be performed such …

Text Simplification improves the readability of sentences through several rewriting
transformations, such as lexical paraphrasing, deletion, and splitting. Current simplification …

Recently, a large pre-trained language model called T5 (A Unified Text-to-Text Transfer
Transformer) has achieved state-of-the-art performance in many NLP tasks. However, no …

Recent advancements in high-quality, large-scale English resources have pushed the
frontier of English Automatic Text Simplification (ATS) research. However, less work has …

Text simplification is a valuable technique. However, current research is limited to sentence
simplification. In this paper, we define and investigate a new task of document-level text …

We propose a method to control the level of a sentence in a text simplification task. Text
simplification is a monolingual translation task translating a complex sentence into a simpler …

Sentence-level text simplification is currently evaluated using both automated metrics and
human evaluation. For automatic evaluation, a combination of metrics is usually employed to …

We propose a framework for training non-autoregressive sequence-to-sequence models for
editing tasks, where the original input sequence is iteratively edited to produce the output …

Most existing work on text simplification is limited to sentence-level inputs, with attempts to
iteratively apply these approaches to document-level simplification failing to coherently …