论文标题
GRS：以无监督的句子简化结合发电和修订
GRS: Combining Generation and Revision in Unsupervised Sentence Simplification
论文作者
论文摘要
我们提出了GRS：一种无监督的句子简化方法，结合了文本生成和文本修订。我们从迭代框架开始，其中使用明确的编辑操作修改输入句子，然后添加释义作为新的编辑操作。这使我们能够结合基于生成和修订的方法的优势：释义捕获复杂的编辑操作，以及以迭代方式使用显式编辑操作，提供了可控性和解释性。与Newsela和Asset数据集中的现有方法相比，我们证明了GRS的这些优势。
We propose GRS: an unsupervised approach to sentence simplification that combines text generation and text revision. We start with an iterative framework in which an input sentence is revised using explicit edit operations, and add paraphrasing as a new edit operation. This allows us to combine the advantages of generative and revision-based approaches: paraphrasing captures complex edit operations, and the use of explicit edit operations in an iterative manner provides controllability and interpretability. We demonstrate these advantages of GRS compared to existing methods on the Newsela and ASSET datasets.
