mlsanityData to 7 Oct 2026

Unsupervised Neural Text Simplification

arXiv 1810.07931 ↗First posted 18 Oct 2018cs.CL cs.LGcited by 29

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Abstract (arXiv)

The paper presents a first attempt towards unsupervised neural text simplification that relies only on unlabeled text corpora. The core framework is composed of a shared encoder and a pair of attentional-decoders and gains knowledge of simplification through discrimination based-losses and denoising. The framework is trained using unlabeled text collected from en-Wikipedia dump. Our analysis (both quantitative and qualitative involving human evaluators) on a public test data shows that the proposed model can perform text-simplification at both lexical and syntactic levels, competitive to existing supervised methods. Addition of a few labelled pairs also improves the performance further.

Key facts. Cited by 29 papers in the map (data through 7 Oct 2026). First posted on arXiv 18 Oct 2018.

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Citing papers per year: 2021: 7; 2022: 8; 2023: 9; 2024: 4; 2025: 1.

29 papers.

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  1. 2022LENS: A Learnable Evaluation Metric for Text Simplificationcited by 54
  2. 2021Keep it Simple: Unsupervised Simplification of Multi-Paragraph Textcited by 45
  3. 2021MuseMorphose: Full-Song and Fine-Grained Piano Music Style Transfer with One Transformer VAEcited by 39
  4. 2021Text Simplification by Taggingcited by 27
  5. 2021Document-Level Text Simplification: Dataset, Criteria and Baselinecited by 27
  6. 2022Text Revision by On-the-Fly Representation Optimizationcited by 17
  7. 2021An Unsupervised Method for Building Sentence Simplification Corpora in Multiple Languagescited by 14
  8. 2023Sentence Simplification via Large Language Modelscited by 14
  9. 2024The SAMER Arabic Text Simplification Corpuscited by 9
  10. 2022GRS: Combining Generation and Revision in Unsupervised Sentence Simplificationcited by 6
  11. 2025Opportunities and Challenges of LLMs in Education: An NLP Perspectivecited by 6
  12. 2021Investigating Text Simplification Evaluationcited by 5
17 more
  1. 2021From Theories on Styles to their Transfer in Text: Bridging the Gap with a Hierarchical Surveycited by 5
  2. 2023Exploiting Summarization Data to Help Text Simplificationcited by 5
  3. 2024An LLM-Enhanced Adversarial Editing System for Lexical Simplificationcited by 5
  4. 2023A New Dataset and Empirical Study for Sentence Simplification in Chinesecited by 4
  5. 2022Unsupervised Simplification of Legal Textscited by 3
  6. 2023SimpLex: a lexical text simplification architecturecited by 3
  7. 2023Creating a silver standard for patent simplificationcited by 3
  8. 2024SiTSE: Sinhala Text Simplification Dataset and Evaluationcited by 3
  9. 2022Unsupervised Sentence Simplification via Dependency Parsingcited by 2
  10. 2022Neural Data-to-Text Generation Based on Small Datasets: Comparing the Added Value of Two Semi-Supervised Learning Approaches on Top of a Large Language Modelcited by 1
  11. 2023A User-Centered Evaluation of Spanish Text Simplificationcited by 1
  12. 2024Edit-Constrained Decoding for Sentence Simplificationcited by 1
  13. 2022Learning to Simplify with Data Hopelessly Out of Alignmentcited by 0
  14. 2022Automatic Text Simplification of News Articles in the Context of Public Broadcastingcited by 0
  15. 2023Sentence Simplification Using Paraphrase Corpus for Initializationcited by 0
  16. 2023MCTS: A Multi-Reference Chinese Text Simplification Datasetcited by 0
  17. 2023Can Knowledge Graphs Simplify Text?cited by 0