Readability-guided Idiom-aware Sentence Simplification (RISS) for Chinese
<|reference_start|>Readability-guided Idiom-aware Sentence Simplification (RISS) for Chinese: Chinese sentence simplification faces challenges due to the lack of large-scale labeled parallel corpora and the prevalence of idioms. To address these challenges, we propose Readability-guided Idiom-aware Sentence Simplification (RISS), a novel framework that combines data augmentation techniques with lexcial simplification. RISS introduces two key components: (1) Readability-guided Paraphrase Selection (RPS), a method for mining high-quality sentence pairs, and (2) Idiom-aware Simplification (IAS), a model that enhances the comprehension and simplification of idiomatic expressions. By integrating RPS and IAS using multi-stage and multi-task learning strategies, RISS outperforms previous state-of-the-art methods on two Chinese sentence simplification datasets. Furthermore, RISS achieves additional improvements when fine-tuned on a small labeled dataset. Our approach demonstrates the potential for more effective and accessible Chinese text simplification.<|reference_end|>
@article{zhang2024readability-guided,
    title={Readability-guided Idiom-aware Sentence Simplification (RISS) for
  Chinese},
    author={Jingshen Zhang, Xinglu Chen, Xinying Qiu, Zhimin Wang, Wenhe Feng},
    journal={arXiv preprint arXiv:2406.02974},
    year={2024},
    archivePrefix={arXiv},
    eprint={2406.02974},
    primaryClass={cs.CL}
}