@inproceedings{kumar-etal-2020-iterative,
    title = "Iterative Edit-Based Unsupervised Sentence Simplification",
    author = "Kumar, Dhruv  and
      Mou, Lili  and
      Golab, Lukasz  and
      Vechtomova, Olga",
    editor = "Jurafsky, Dan  and
      Chai, Joyce  and
      Schluter, Natalie  and
      Tetreault, Joel",
    booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
    month = jul,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/2020.acl-main.707/",
    doi = "10.18653/v1/2020.acl-main.707",
    pages = "7918--7928",
    abstract = "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."
}