论文标题
基于迭代编辑的无监督句子简化
Iterative Edit-Based Unsupervised Sentence Simplification
论文作者
论文摘要
我们提出了一种新颖的迭代，基于编辑的方法，以简化无监督的句子。我们的模型以涉及流利性，简单性和含义保存的评分函数为指导。然后，我们在复杂句子上迭代地执行单词和短语级别的编辑。与以前的方法相比，我们的模型不需要并行训练集，但更容易控制和解释。 Newsela和Wikilarge数据集的实验表明，我们的方法几乎与最先进的监督方法一样有效。
We present a novel iterative, edit-based approach to unsupervised sentence simplification. Our model is guided by a scoring function involving fluency, simplicity, and meaning preservation. Then, we iteratively perform word and phrase-level edits on the complex sentence. Compared with previous approaches, our model does not require a parallel training set, but is more controllable and interpretable. Experiments on Newsela and WikiLarge datasets show that our approach is nearly as effective as state-of-the-art supervised approaches.
