@inproceedings{orwig-etal-2025-mondrian,
title = "Mondrian: A Framework for Logical Abstract (Re)Structuring",
author = "Orwig, Elizabeth Grace and
Park, Shinwoo and
Jin, Hyundong and
Han, Yo-Sub",
editor = "Christodoulopoulos, Christos and
Chakraborty, Tanmoy and
Rose, Carolyn and
Peng, Violet",
booktitle = "Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing",
month = nov,
year = "2025",
address = "Suzhou, China",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.emnlp-main.1709/",
doi = "10.18653/v1/2025.emnlp-main.1709",
pages = "33675--33690",
ISBN = "979-8-89176-332-6",
abstract = "The well-known rhetorical framework, ABT (And, But, Therefore), mirrors natural human cognition in structuring an argument{'}s logical progression - apropos to academic communication. However, distilling the complexities of research into clear and concise prose requires careful sequencing of ideas and formulating clear connections between them. This presents a quiet inequitability for contributions from authors who struggle with English proficiency or academic writing conventions. We see this as impetus to introduce: Mondrian, a framework that identifies the key components of an abstract and reorients itself to properly reflect the ABT logical progression. The framework is composed of a deconstruction stage, reconstruction stage, and rephrasing. We introduce a novel metric for evaluating deviation from ABT structure, named EB-DTW, which accounts for both ordinality and a non-uniform distribution of importance in a sequence. Our overall approach aims to improve the comprehensibility of academic writing, particularly for non-native English speakers, along with a complementary metric. The effectiveness of Mondrian is tested with automatic metrics and extensive human evaluation, and demonstrated through impressive quantitative and qualitative results, with organization and overall coherence of an abstract improving by an average of 27.71{\%} and 24.71{\%}."
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%0 Conference Proceedings
%T Mondrian: A Framework for Logical Abstract (Re)Structuring
%A Orwig, Elizabeth Grace
%A Park, Shinwoo
%A Jin, Hyundong
%A Han, Yo-Sub
%Y Christodoulopoulos, Christos
%Y Chakraborty, Tanmoy
%Y Rose, Carolyn
%Y Peng, Violet
%S Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
%D 2025
%8 November
%I Association for Computational Linguistics
%C Suzhou, China
%@ 979-8-89176-332-6
%F orwig-etal-2025-mondrian
%X The well-known rhetorical framework, ABT (And, But, Therefore), mirrors natural human cognition in structuring an argument’s logical progression - apropos to academic communication. However, distilling the complexities of research into clear and concise prose requires careful sequencing of ideas and formulating clear connections between them. This presents a quiet inequitability for contributions from authors who struggle with English proficiency or academic writing conventions. We see this as impetus to introduce: Mondrian, a framework that identifies the key components of an abstract and reorients itself to properly reflect the ABT logical progression. The framework is composed of a deconstruction stage, reconstruction stage, and rephrasing. We introduce a novel metric for evaluating deviation from ABT structure, named EB-DTW, which accounts for both ordinality and a non-uniform distribution of importance in a sequence. Our overall approach aims to improve the comprehensibility of academic writing, particularly for non-native English speakers, along with a complementary metric. The effectiveness of Mondrian is tested with automatic metrics and extensive human evaluation, and demonstrated through impressive quantitative and qualitative results, with organization and overall coherence of an abstract improving by an average of 27.71% and 24.71%.
%R 10.18653/v1/2025.emnlp-main.1709
%U https://aclanthology.org/2025.emnlp-main.1709/
%U https://doi.org/10.18653/v1/2025.emnlp-main.1709
%P 33675-33690
Markdown (Informal)
[Mondrian: A Framework for Logical Abstract (Re)Structuring](https://aclanthology.org/2025.emnlp-main.1709/) (Orwig et al., EMNLP 2025)
ACL
- Elizabeth Grace Orwig, Shinwoo Park, Hyundong Jin, and Yo-Sub Han. 2025. Mondrian: A Framework for Logical Abstract (Re)Structuring. In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, pages 33675–33690, Suzhou, China. Association for Computational Linguistics.