@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://aclanthology.org/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.",
}
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%0 Conference Proceedings
%T Iterative Edit-Based Unsupervised Sentence Simplification
%A Kumar, Dhruv
%A Mou, Lili
%A Golab, Lukasz
%A Vechtomova, Olga
%Y Jurafsky, Dan
%Y Chai, Joyce
%Y Schluter, Natalie
%Y Tetreault, Joel
%S Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
%D 2020
%8 July
%I Association for Computational Linguistics
%C Online
%F kumar-etal-2020-iterative
%X 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.
%R 10.18653/v1/2020.acl-main.707
%U https://aclanthology.org/2020.acl-main.707
%U https://doi.org/10.18653/v1/2020.acl-main.707
%P 7918-7928
Markdown (Informal)
[Iterative Edit-Based Unsupervised Sentence Simplification](https://aclanthology.org/2020.acl-main.707) (Kumar et al., ACL 2020)
ACL