Iterative Edit-Based Unsupervised Sentence Simplification
Dhruv Kumar, Lili Mou, Lukasz Golab, Olga Vechtomova · 2020
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. 1