Readability-guided Idiom-aware Sentence Simplification (RISS) for Chinese

• URL: http://arxiv.org/abs/2406.02974v1
• Date: Wed, 5 Jun 2024 06:15:48 GMT
• Title: Readability-guided Idiom-aware Sentence Simplification (RISS) for Chinese
• Abstract summary: We propose Readability-guided-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)aware Simplification (IAS), a model that enhances the comprehension and simplification of idiomatic expressions.
• Score: 1.1650821883155187
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/
• Abstract: 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.

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