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 simplification, which aims to simplify a
document consisting of multiple sentences. Based on Wikipedia dumps, we first
construct a large-scale dataset named D-Wikipedia and perform analysis and
human evaluation on it to show that the dataset is reliable. Then, we propose a
new automatic evaluation metric called D-SARI that is more suitable for the
document-level simplification task. Finally, we select several representative
models as baseline models for this task and perform automatic evaluation and
human evaluation. We analyze the results and point out the shortcomings of the
baseline models.

本文提出并研究了一个新的文档级简化任务，旨在简化由多个句子组成的文档。作者构建了一个大规模的数据集 D-Wikipedia，并对其进行分析和人类评估，提出了一个新的自动评估指标 D-SARI 以更好的适应文档级简化任务，并选择了几个代表基准模型进行自动和人类评估并分析了结果，指出了基准模型的缺点。