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        <title>Readability-guided Idiom-aware Sentence Simplification (RISS) for Chinese</title>
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        <namePart type="given">Zhang</namePart>
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        <namePart type="family">Xinglu</namePart>
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            <title>Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 1: Main Conference)</title>
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            <namePart type="family">Sun</namePart>
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    <abstract>“Chinese sentence simplification faces challenges due to the lack of large-scale labeledparallel corpora and the prevalence of idioms. To address these challenges, we pro-pose Readability-guided Idiom-aware Sentence Simplification (RISS), a novel frameworkthat combines data augmentation techniques. RISS introduces two key components: (1)Readability-guided Paraphrase Selection (RPS), a method for mining high-quality sen-tence pairs, and (2) Idiom-aware Simplification (IAS), a model that enhances the compre-hension and simplification of idiomatic expressions. By integrating RPS and IAS usingmulti-stage and multi-task learning strategies, RISS outperforms previous state-of-the-artmethods on two Chinese sentence simplification datasets. Furthermore, RISS achievesadditional improvements when fine-tuned on a small labeled dataset. Our approachdemonstrates the potential for more effective and accessible Chinese text simplification.”</abstract>
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%0 Conference Proceedings
%T Readability-guided Idiom-aware Sentence Simplification (RISS) for Chinese
%A Jingshen, Zhang
%A Xinglu, Chen
%A Xinying, Qiu
%A Zhimin, Wang
%A Wenhe, Feng
%Y Sun, Maosong
%Y Liang, Jiye
%Y Han, Xianpei
%Y Liu, Zhiyuan
%Y He, Yulan
%S Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 1: Main Conference)
%D 2024
%8 July
%I Chinese Information Processing Society of China
%C Taiyuan, China
%G eng
%F jingshen-etal-2024-readability
%X “Chinese sentence simplification faces challenges due to the lack of large-scale labeledparallel corpora and the prevalence of idioms. To address these challenges, we pro-pose Readability-guided Idiom-aware Sentence Simplification (RISS), a novel frameworkthat combines data augmentation techniques. RISS introduces two key components: (1)Readability-guided Paraphrase Selection (RPS), a method for mining high-quality sen-tence pairs, and (2) Idiom-aware Simplification (IAS), a model that enhances the compre-hension and simplification of idiomatic expressions. By integrating RPS and IAS usingmulti-stage and multi-task learning strategies, RISS outperforms previous state-of-the-artmethods on two Chinese sentence simplification datasets. Furthermore, RISS achievesadditional improvements when fine-tuned on a small labeled dataset. Our approachdemonstrates the potential for more effective and accessible Chinese text simplification.”
%U https://aclanthology.org/2024.ccl-1.92/
%P 1183-1200

Markdown (Informal)

[Readability-guided Idiom-aware Sentence Simplification (RISS) for Chinese](https://aclanthology.org/2024.ccl-1.92/) (Jingshen et al., CCL 2024)

• Readability-guided Idiom-aware Sentence Simplification (RISS) for Chinese (Jingshen et al., CCL 2024)

ACL

• Zhang Jingshen, Chen Xinglu, Qiu Xinying, Wang Zhimin, and Feng Wenhe. 2024. Readability-guided Idiom-aware Sentence Simplification (RISS) for Chinese. In Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 1: Main Conference), pages 1183–1200, Taiyuan, China. Chinese Information Processing Society of China.