GRS-complex-simple-classifier-DeBerta

Citation

Please star the GRS GitHub repo and cite the paper if you found our model useful:

@inproceedings{dehghan-etal-2022-grs,
    title = "{GRS}: Combining Generation and Revision in Unsupervised Sentence Simplification",
    author = "Dehghan, Mohammad  and
      Kumar, Dhruv  and
      Golab, Lukasz",
    booktitle = "Findings of the Association for Computational Linguistics: ACL 2022",
    month = may,
    year = "2022",
    address = "Dublin, Ireland",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2022.findings-acl.77",
    pages = "949--960",
    abstract = "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.",
}