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# Who cites «Unsupervised Sentence Simplification Using Deep Semantics»

29 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/narayan-2016-unsupervised-sentence-simplification-deep-semantics/)

1. [SiTSE: Sinhala Text Simplification Dataset and Evaluation](https://arxiv.org/abs/2412.01293) *— 2024 · arXiv:2412.01293*
2. [Can Knowledge Graphs Simplify Text?](https://arxiv.org/abs/2308.06975) *— 2023 · arXiv:2308.06975*
3. [Discourse-Aware Text Simplification: From Complex Sentences to Linked Propositions](https://arxiv.org/abs/2308.00425) *— 2023 · arXiv:2308.00425*
4. [On Operations in Automatic Text Simplification](https://aclanthology.org/2023.tsar-1.12/) *— 2023 · Proceedings of the Second Workshop on Text Simplification, Accessibility and Readability*
5. [SWiPE: A Dataset for Document-Level Simplification of Wikipedia Pages](https://aclanthology.org/2023.acl-long.596/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
6. [Sentence Simplification Using Paraphrase Corpus for Initialization](https://arxiv.org/abs/2305.19754) *— 2023 · arXiv:2305.19754*
7. [Towards Reference-free Text Simplification Evaluation with a BERT Siamese Network Architecture](https://aclanthology.org/2023.findings-acl.838/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
8. [huPWKP: A Hungarian Text Simplification Corpus](https://aclanthology.org/2023.ranlp-1.97/) *— 2023 · Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing*
9. [GRS: Combining Generation and Revision in Unsupervised Sentence Simplification](https://aclanthology.org/2022.findings-acl.77/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
10. [An Unsupervised Method for Building Sentence Simplification Corpora in Multiple Languages](https://aclanthology.org/2021.findings-emnlp.22/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
11. [Discourse-Based Sentence Splitting](https://aclanthology.org/2021.findings-emnlp.25/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
12. [Improving Human Text Simplification with Sentence Fusion](https://aclanthology.org/2021.textgraphs-1.10/) *— 2021 · Proceedings of the Fifteenth Workshop on Graph-Based Methods for Natural Language Processing (TextGraphs-15)*
13. [The (Un)Suitability of Automatic Evaluation Metrics for Text Simplification](https://aclanthology.org/2021.cl-4.28/) *— 2021 · Computational Linguistics*
14. [Data-Driven Sentence Simplification: Survey and Benchmark](https://aclanthology.org/2020.cl-1.4/) *— 2020 · Computational Linguistics*
15. [Disentangling the Properties of Human Evaluation Methods: A Classification System to Support Comparability, Meta-Evaluation and Reproducibility Testing](https://aclanthology.org/2020.inlg-1.24/) *— 2020 · Proceedings of the 13th International Conference on Natural Language Generation*
16. [Iterative Edit-Based Unsupervised Sentence Simplification](https://aclanthology.org/2020.acl-main.707/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
17. [Semi-Supervised Text Simplification with Back-Translation and Asymmetric Denoising Autoencoders](https://arxiv.org/abs/2004.14693) *— 2020 · arXiv:2004.14693*
18. [Discourse Level Factors for Sentence Deletion in Text Simplification](https://arxiv.org/abs/1911.10384) *— 2019 · arXiv:1911.10384*
19. [Plain English Summarization of Contracts](https://aclanthology.org/W19-2201/) *— 2019 · Proceedings of the Natural Legal Language Processing Workshop 2019*
20. [Transforming Complex Sentences into a Semantic Hierarchy](https://aclanthology.org/P19-1333/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
21. [A Word-Complexity Lexicon and A Neural Readability Ranking Model for Lexical Simplification](https://aclanthology.org/D18-1410/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
22. [BLEU is Not Suitable for the Evaluation of Text Simplification](https://aclanthology.org/D18-1081/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
23. [Deep Learning Approaches to Text Production](https://aclanthology.org/N18-6002/) *— 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Tutorial Abstracts*
24. [Inherent Biases in Reference based Evaluation for Grammatical Error Correction and Text Simplification](https://arxiv.org/abs/1804.11254) *— 2018 · arXiv:1804.11254*
25. [Inherent Biases in Reference-based Evaluation for Grammatical Error Correction](https://aclanthology.org/P18-1059/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
26. [Semantic Structural Evaluation for Text Simplification](https://md.mova.elamur.ai/free/en/docs/papers/sulem-2018-semantic-structural-evaluation-text-simplification/) *— our card · 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)*
27. [Simple and Effective Text Simplification Using Semantic and Neural Methods](https://md.mova.elamur.ai/free/en/docs/papers/sulem-2018-simple-effective-text-simplification-semantic/) *— our card · 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
28. [Simplification Using Paraphrases and Context-Based Lexical Substitution](https://aclanthology.org/N18-1019/) *— 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)*
29. [Split and Rephrase](https://aclanthology.org/D17-1064/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
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