@inproceedings{cripwell-etal-2022-controllable,
title = "Controllable Sentence Simplification via Operation Classification",
author = {Cripwell, Liam and
Legrand, Jo{\"e}l and
Gardent, Claire},
editor = "Carpuat, Marine and
de Marneffe, Marie-Catherine and
Meza Ruiz, Ivan Vladimir",
booktitle = "Findings of the Association for Computational Linguistics: NAACL 2022",
month = jul,
year = "2022",
address = "Seattle, United States",
publisher = "Association for Computational Linguistics",
url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2022.findings-naacl.161/",
doi = "10.18653/v1/2022.findings-naacl.161",
pages = "2091--2103",
abstract = "Different types of transformations have been used to model sentence simplification ranging from mainly local operations such as phrasal or lexical rewriting, deletion and re-ordering to the more global affecting the whole input sentence such as sentence rephrasing, copying and splitting. In this paper, we propose a novel approach to sentence simplification which encompasses four global operations: whether to rephrase or copy and whether to split based on syntactic or discourse structure. We create a novel dataset that can be used to train highly accurate classification systems for these four operations. We propose a controllable-simplification model that tailors simplifications to these operations and show that it outperforms both end-to-end, non-controllable approaches and previous controllable approaches."
}
Markdown (Informal)
[Controllable Sentence Simplification via Operation Classification](https://preview.aclanthology.org/jlcl-multiple-ingestion/2022.findings-naacl.161/) (Cripwell et al., Findings 2022)
ACL