@inproceedings{wu-etal-2025-know,
title = "Know-{AI} at {TSAR} 2025 Shared Task Difficulty-aware Text Simplification System",
author = "Wu, Yiheng and
Katinskaia, Anisia and
Hou, Jue and
Yangarber, Roman",
editor = "Shardlow, Matthew and
Alva-Manchego, Fernando and
North, Kai and
Stodden, Regina and
Saggion, Horacio and
Khallaf, Nouran and
Hayakawa, Akio",
booktitle = "Proceedings of the Fourth Workshop on Text Simplification, Accessibility and Readability (TSAR 2025)",
month = nov,
year = "2025",
address = "Suzhou, China",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.tsar-1.24/",
pages = "266--272",
ISBN = "979-8-89176-176-6",
abstract = "Text simplification is an active research topic with applications in multiple domains. In a simplification pipeline, assessment of text difficulty plays a crucial role as a quality control mechanism it acts as a critic and guides models to generate text at the difficulty level required by the user. This paper presents our Difficulty-aware Text Simplification System. We evaluate our pipeline using the TSAR shared task dataset and discuss challenges in constructing corpora for training models to assess text difficulty."
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%0 Conference Proceedings
%T Know-AI at TSAR 2025 Shared Task Difficulty-aware Text Simplification System
%A Wu, Yiheng
%A Katinskaia, Anisia
%A Hou, Jue
%A Yangarber, Roman
%Y Shardlow, Matthew
%Y Alva-Manchego, Fernando
%Y North, Kai
%Y Stodden, Regina
%Y Saggion, Horacio
%Y Khallaf, Nouran
%Y Hayakawa, Akio
%S Proceedings of the Fourth Workshop on Text Simplification, Accessibility and Readability (TSAR 2025)
%D 2025
%8 November
%I Association for Computational Linguistics
%C Suzhou, China
%@ 979-8-89176-176-6
%F wu-etal-2025-know
%X Text simplification is an active research topic with applications in multiple domains. In a simplification pipeline, assessment of text difficulty plays a crucial role as a quality control mechanism it acts as a critic and guides models to generate text at the difficulty level required by the user. This paper presents our Difficulty-aware Text Simplification System. We evaluate our pipeline using the TSAR shared task dataset and discuss challenges in constructing corpora for training models to assess text difficulty.
%U https://aclanthology.org/2025.tsar-1.24/
%P 266-272
Markdown (Informal)
[Know-AI at TSAR 2025 Shared Task Difficulty-aware Text Simplification System](https://aclanthology.org/2025.tsar-1.24/) (Wu et al., TSAR 2025)
ACL