Papers with text simplification systems
Semantic Structural Evaluation for Text Simplification (N18-1)
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| Challenge: | Current measures for evaluating text simplification systems focus on lexical aspects, neglecting its structural aspects. |
| Approach: | They propose to use a reference-less automatic evaluation procedure to assess simplification quality by decomposing the input based on its semantic structure and comparing it to the output. |
| Outcome: | The proposed measure has a significant correlation with human judgments and is highly comparable with existing measures. |
Adapting Sentence-level Automatic Metrics for Document-level Simplification Evaluation (2025.naacl-long)
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| Challenge: | Existing studies on text simplification have focused on sentence simplification, but these metrics often underperform on longer texts. |
| Approach: | They propose to adapt existing sentence-level metrics for paragraph- or document-level simplification by incorporating a new approach to the evaluation of text simplification metrics. |
| Outcome: | The proposed approach outperforms existing sentence-level metrics in terms of correlation with human judgment and the sensitivity and robustness of various metrics to different types of errors produced by existing systems. |
Controlling Pre-trained Language Models for Grade-Specific Text Simplification (2023.emnlp-main)
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| Challenge: | Existing approaches to text simplification control output complexity at corpus level disregarding complexity of individual inputs and considering only one level of output complexity. |
| Approach: | They propose a method that predicts edit operations required for a specific grade level . they say this approach improves the quality of the simplified outputs over corpus-level heuristics . |
| Outcome: | The proposed method improves the readability of simplified outputs over corpus-level search-based heuristics. |