Papers with simplification models
ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations (2020.acl-main)
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| Challenge: | Existing models for sentence simplification are focused on a single transformation, such as lexical paraphrasing or splitting. |
| Approach: | They propose a dataset for assessing sentence simplification in English using a crowdsourced multi-reference corpus. |
| Outcome: | The proposed dataset shows that it captures characteristics of simplicity better than other datasets. |
SWiPE: A Dataset for Document-Level Simplification of Wikipedia Pages (2023.acl-long)
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| Challenge: | Prior work on document-level simplification has focused on sentence-level edits, while many desirable edits require document- level context. |
| Approach: | They propose a dataset that reconstructs the document-level editing process from English Wikipedia to paired Simple Wikipedia articles. |
| Outcome: | The proposed dataset reconstructs the document-level editing process from English Wikipedia (EW) articles to paired Simple Wikipedia (SEW) pages. |
Evaluating LLMs for Portuguese Sentence Simplification with Linguistic Insights (2025.acl-long)
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Arthur Mariano Rocha De Azevedo Scalercio, Elvis A. De Souza, Maria José Bocorny Finatto, Aline Paes
| Challenge: | Sentence simplification (SS) aims to make sentences more straightforward to read and understand without changing its key points. |
| Approach: | They compare 26 state-of-the-art LLMs in Portuguese SS with two simplification models trained explicitly for this task and language. |
| Outcome: | The proposed models outperform open-source models in Portuguese SS . the models are compared against two simplification models trained for Portuguese . |