Is It Possible to Modify Text to a Target Readability Level? An Initial Investigation Using Zero-Shot Large Language Models (2024.lrec-main)
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| Challenge: | Text simplification and elaboration tasks are limited to only relatively altering the readability of texts to cater to a diverse audience. |
| Approach: | They propose to generate 8 versions of a text at different readability levels using ChatGPT and Llama-2 and introduce a two-step process to generate paraphrases. |
| Outcome: | The proposed task requires the generation of 8 versions at various target readability levels for each input text. |
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| Challenge: | Text simplification (RCTS) models often depend on parallel corpora with readability annotations on both source and target sides. |
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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. |
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Document-Level Planning for Text Simplification (2023.eacl-main)
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| Challenge: | Existing work on text simplification is limited to sentence-level inputs . attempts to iteratively apply these approaches fail to preserve discourse structure of document . |
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Lexi: A tool for adaptive, personalized text simplification (C18-1)
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| Challenge: | Existing research on text simplification has aimed to develop generic solutions . instead, we need to develop customized simplification systems for individual users . |
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| Challenge: | Recent work on document simplification has focused on sentence-level inputs but fails to preserve the discourse structure. |
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Explainable Prediction of Text Complexity: The Missing Preliminaries for Text Simplification (2021.acl-long)
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| Challenge: | Text simplification reduces the language complexity of professional content for accessibility purposes. |
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| Challenge: | Prior work on text complexity has focused on simplifying input text in one language, primarily English. |
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