@inproceedings{bahrainian-etal-2024-text,
title = "Text Simplification via Adaptive Teaching",
author = "Bahrainian, Seyed Ali and
Dou, Jonathan and
Eickhoff, Carsten",
editor = "Ku, Lun-Wei and
Martins, Andre and
Srikumar, Vivek",
booktitle = "Findings of the Association for Computational Linguistics ACL 2024",
month = aug,
year = "2024",
address = "Bangkok, Thailand and virtual meeting",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.findings-acl.392",
pages = "6574--6584",
abstract = "Text simplification is the process of rewriting a piece of text using simpler vocabulary and grammatical structure in order to make the text more accessible and understandable for a larger audience. In this paper, we introduce a new text simplification model based on the notion of adaptive teaching using a teacher network and a text generation network. We name this new model Simplification via Adaptive Teaching (SAT). Our proposed model sets a new state-of-the-art performance in terms of standard simplification metrics such as SARI and D-SARI with a significant improvement over the previous state of the art on the D-Wikipedia dataset and the Wiki-Doc benchmark dataset. Moreover, we conduct a human evaluation in terms of text simplicity, correctness, and fluency to substantiate SAT{'}s performance.",
}
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<abstract>Text simplification is the process of rewriting a piece of text using simpler vocabulary and grammatical structure in order to make the text more accessible and understandable for a larger audience. In this paper, we introduce a new text simplification model based on the notion of adaptive teaching using a teacher network and a text generation network. We name this new model Simplification via Adaptive Teaching (SAT). Our proposed model sets a new state-of-the-art performance in terms of standard simplification metrics such as SARI and D-SARI with a significant improvement over the previous state of the art on the D-Wikipedia dataset and the Wiki-Doc benchmark dataset. Moreover, we conduct a human evaluation in terms of text simplicity, correctness, and fluency to substantiate SAT’s performance.</abstract>
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%0 Conference Proceedings
%T Text Simplification via Adaptive Teaching
%A Bahrainian, Seyed Ali
%A Dou, Jonathan
%A Eickhoff, Carsten
%Y Ku, Lun-Wei
%Y Martins, Andre
%Y Srikumar, Vivek
%S Findings of the Association for Computational Linguistics ACL 2024
%D 2024
%8 August
%I Association for Computational Linguistics
%C Bangkok, Thailand and virtual meeting
%F bahrainian-etal-2024-text
%X Text simplification is the process of rewriting a piece of text using simpler vocabulary and grammatical structure in order to make the text more accessible and understandable for a larger audience. In this paper, we introduce a new text simplification model based on the notion of adaptive teaching using a teacher network and a text generation network. We name this new model Simplification via Adaptive Teaching (SAT). Our proposed model sets a new state-of-the-art performance in terms of standard simplification metrics such as SARI and D-SARI with a significant improvement over the previous state of the art on the D-Wikipedia dataset and the Wiki-Doc benchmark dataset. Moreover, we conduct a human evaluation in terms of text simplicity, correctness, and fluency to substantiate SAT’s performance.
%U https://aclanthology.org/2024.findings-acl.392
%P 6574-6584
Markdown (Informal)
[Text Simplification via Adaptive Teaching](https://aclanthology.org/2024.findings-acl.392) (Bahrainian et al., Findings 2024)
ACL
- Seyed Ali Bahrainian, Jonathan Dou, and Carsten Eickhoff. 2024. Text Simplification via Adaptive Teaching. In Findings of the Association for Computational Linguistics ACL 2024, pages 6574–6584, Bangkok, Thailand and virtual meeting. Association for Computational Linguistics.