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# Who cites «Optimizing Statistical Machine Translation for Text Simplification» · page 3

431 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/xu-2016-optimizing-statistical-machine-translation-text/)

Pages: [1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/xu-2016-optimizing-statistical-machine-translation-text/) · [2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/xu-2016-optimizing-statistical-machine-translation-text-2/) · **3** · [4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/xu-2016-optimizing-statistical-machine-translation-text-4/) · [5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/xu-2016-optimizing-statistical-machine-translation-text-5/)

1. [GEMv2: Multilingual NLG Benchmarking in a Single Line of Code](https://aclanthology.org/2022.emnlp-demos.27/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations*
2. [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*
3. [Generation of Patient After-Visit Summaries to Support Physicians](https://aclanthology.org/2022.coling-1.544/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
4. [Improving Iterative Text Revision by Learning Where to Edit from Other Revision Tasks](https://aclanthology.org/2022.emnlp-main.678/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
5. [Improving Text Simplification with Factuality Error Detection](https://aclanthology.org/2022.tsar-1.16/) *— 2022 · Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)*
6. [Inducing Positive Perspectives with Text Reframing](https://aclanthology.org/2022.acl-long.257/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
7. [IrekiaLFes: a New Open Benchmark and Baseline Systems for Spanish Automatic Text Simplification](https://aclanthology.org/2022.tsar-1.8/) *— 2022 · Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)*
8. [JADES: New Text Simplification Dataset in Japanese Targeted at Non-Native Speakers](https://aclanthology.org/2022.tsar-1.17/) *— 2022 · Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)*
9. [Klexikon: A German Dataset for Joint Summarization and Simplification](https://aclanthology.org/2022.lrec-1.288/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
10. [Lexically Constrained Decoding with Edit Operation Prediction for Controllable Text Simplification](https://aclanthology.org/2022.tsar-1.13/) *— 2022 · Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)*
11. [Linguistic Corpus Annotation for Automatic Text Simplification Evaluation](https://aclanthology.org/2022.emnlp-main.121/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
12. [MUSS: Multilingual Unsupervised Sentence Simplification by Mining Paraphrases](https://aclanthology.org/2022.lrec-1.176/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
13. [Multitasking Framework for Unsupervised Simple Definition Generation](https://aclanthology.org/2022.acl-long.409/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
14. [Noisy Channel for Automatic Text Simplification](https://arxiv.org/abs/2211.03152) *— 2022 · arXiv:2211.03152*
15. [Novelty Controlled Paraphrase Generation with Retrieval Augmented Conditional Prompt Tuning](https://arxiv.org/abs/2202.00535) *— 2022 · arXiv:2202.00535*
16. [PEER: A Collaborative Language Model](https://arxiv.org/abs/2208.11663) *— 2022 · arXiv:2208.11663*
17. [Patient-friendly Clinical Notes: Towards a new Text Simplification Dataset](https://aclanthology.org/2022.tsar-1.3/) *— 2022 · Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)*
18. [Predicting Sentence Deletions for Text Simplification Using a Functional Discourse Structure](https://aclanthology.org/2022.acl-short.28/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
19. [Quantified Reproducibility Assessment of NLP Results](https://aclanthology.org/2022.acl-long.2/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
20. [RCML at TSAR-2022 Shared Task: Lexical Simplification With Modular Substitution Candidate Ranking](https://aclanthology.org/2022.tsar-1.29/) *— 2022 · Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)*
21. [Reproducing a Manual Evaluation of the Simplicity of Text Simplification System Outputs](https://aclanthology.org/2022.inlg-genchal.12/) *— 2022 · Proceedings of the 15th International Conference on Natural Language Generation: Generation Challenges*
22. [Revision for Concision: A Constrained Paraphrase Generation Task](https://aclanthology.org/2022.tsar-1.6/) *— 2022 · Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)*
23. [Same Author or Just Same Topic? Towards Content-Independent Style Representations](https://aclanthology.org/2022.repl4nlp-1.26/) *— 2022 · Proceedings of the 7th Workshop on Representation Learning for NLP*
24. [Simple TICO-19: A Dataset for Joint Translation and Simplification of COVID-19 Texts](https://aclanthology.org/2022.lrec-1.331/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
25. [SimpleStyle: An Adaptable Style Transfer Approach](https://arxiv.org/abs/2212.10498) *— 2022 · arXiv:2212.10498*
26. [TS-ANNO: An Annotation Tool to Build, Annotate and Evaluate Text Simplification Corpora](https://aclanthology.org/2022.acl-demo.14/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: System Demonstrations*
27. [Text Revision by On-the-Fly Representation Optimization](https://aclanthology.org/2022.in2writing-1.7/) *— 2022 · Proceedings of the First Workshop on Intelligent and Interactive Writing Assistants (In2Writing 2022)*
28. [Text Simplification of College Admissions Instructions: A Professionally Simplified and Verified Corpus](https://aclanthology.org/2022.coling-1.566/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
29. [Towards Arabic Sentence Simplification via Classification and Generative Approaches](https://aclanthology.org/2022.wanlp-1.5/) *— 2022 · Proceedings of the Seventh Arabic Natural Language Processing Workshop (WANLP)*
30. [Understanding Iterative Revision from Human-Written Text](https://aclanthology.org/2022.acl-long.250/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
31. [Updated Headline Generation: Creating Updated Summaries for Evolving News Stories](https://aclanthology.org/2022.acl-long.446/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
32. [A New Dataset and Efficient Baselines for Document-level Text Simplification in German](https://aclanthology.org/2021.newsum-1.16/) *— 2021 · Proceedings of the Third Workshop on New Frontiers in Summarization*
33. [A Non-Autoregressive Edit-Based Approach to Controllable Text Simplification](https://aclanthology.org/2021.findings-acl.330/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
34. [A Review of Text Style Transfer using Deep Learning](https://arxiv.org/abs/2109.15144) *— 2021 · arXiv:2109.15144 · IEEE Transactions on Artificial Intelligence (TAI), (2021)*
35. [A Syntax-Aware Edit-based System for Text Simplification](https://aclanthology.org/2021.ranlp-1.38/) *— 2021 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)*
36. [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*
37. [BiSECT: Learning to Split and Rephrase Sentences with Bitexts](https://aclanthology.org/2021.emnlp-main.500/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
38. [Controllable Sentence Simplification with a Unified Text-to-Text Transfer Transformer](https://aclanthology.org/2021.inlg-1.38/) *— 2021 · Proceedings of the 14th International Conference on Natural Language Generation*
39. [Controllable Text Simplification with Explicit Paraphrasing](https://aclanthology.org/2021.naacl-main.277/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
40. [Decontextualization: Making Sentences Stand-Alone](https://aclanthology.org/2021.tacl-1.27/) *— 2021 · Transactions of the Association for Computational Linguistics*
41. [Document-Level Text Simplification: Dataset, Criteria and Baseline](https://aclanthology.org/2021.emnlp-main.630/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
42. [Does It Capture STEL? A Modular, Similarity-based Linguistic Style Evaluation Framework](https://aclanthology.org/2021.emnlp-main.569/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
43. [Elaborative Simplification: Content Addition and Explanation Generation in Text Simplification](https://aclanthology.org/2021.findings-acl.455/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
44. [Evidence-based Factual Error Correction](https://aclanthology.org/2021.acl-long.256/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
45. [ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning](https://arxiv.org/abs/2111.10952) *— 2021 · arXiv:2111.10952*
46. [Explainable Prediction of Text Complexity: The Missing Preliminaries for Text Simplification](https://aclanthology.org/2021.acl-long.88/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
47. [Exploring German Multi-Level Text Simplification](https://aclanthology.org/2021.ranlp-1.150/) *— 2021 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)*
48. [Finding Spoiler Bias in Tweets by Zero-shot Learning and Knowledge Distilling from Neural Text Simplification](https://aclanthology.org/2021.ltedi-1.7/) *— 2021 · Proceedings of the First Workshop on Language Technology for Equality, Diversity and Inclusion*
49. [Flesch-Kincaid is Not a Text Simplification Evaluation Metric](https://aclanthology.org/2021.gem-1.1/) *— 2021 · Proceedings of the First Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)*
50. [Focus Attention: Promoting Faithfulness and Diversity in Summarization](https://aclanthology.org/2021.acl-long.474/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
51. [Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence](https://aclanthology.org/2021.naacl-main.52/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
52. [Idiomatic Expression Paraphrasing without Strong Supervision](https://arxiv.org/abs/2112.08592) *— 2021 · arXiv:2112.08592*
53. [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)*
54. [Improving the Diversity of Unsupervised Paraphrasing with Embedding Outputs](https://aclanthology.org/2021.mrl-1.15/) *— 2021 · Proceedings of the 1st Workshop on Multilingual Representation Learning*
55. [Investigating Text Simplification Evaluation](https://aclanthology.org/2021.findings-acl.77/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
56. [Keep It Simple: Unsupervised Simplification of Multi-Paragraph Text](https://aclanthology.org/2021.acl-long.498/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
57. [Neural semi-Markov CRF for Monolingual Word Alignment](https://aclanthology.org/2021.acl-long.531/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
58. [Neural-Driven Search-Based Paraphrase Generation](https://aclanthology.org/2021.eacl-main.180/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
59. [PIE: A Parallel Idiomatic Expression Corpus for Idiomatic Sentence Generation and Paraphrasing](https://aclanthology.org/2021.mwe-1.5/) *— 2021 · Proceedings of the 17th Workshop on Multiword Expressions (MWE 2021)*
60. [Paragraph-level Simplification of Medical Texts](https://aclanthology.org/2021.naacl-main.395/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
61. [Reflective Decoding: Beyond Unidirectional Generation with Off-the-Shelf Language Models](https://aclanthology.org/2021.acl-long.114/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
62. [Rethinking Automatic Evaluation in Sentence Simplification](https://arxiv.org/abs/2104.07560) *— 2021 · arXiv:2104.07560*
63. [SimpleNER Sentence Simplification System for GEM 2021](https://aclanthology.org/2021.gem-1.14/) *— 2021 · Proceedings of the First Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)*
64. [Simplification automatique de textes biomédicaux en français: lorsque des données précises de petite taille aident (French Biomedical Text Simplification : When Small and Precise Helps )](https://aclanthology.org/2021.jeptalnrecital-taln.30/) *— 2021 · Actes de la 28e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale*
65. [Teaching a Massive Open Online Course on Natural Language Processing](https://aclanthology.org/2021.teachingnlp-1.2/) *— 2021 · Proceedings of the Fifth Workshop on Teaching NLP*
66. [Text Simplification by Tagging](https://aclanthology.org/2021.bea-1.2/) *— 2021 · Proceedings of the 16th Workshop on Innovative Use of NLP for Building Educational Applications*
67. [The (Un)Suitability of Automatic Evaluation Metrics for Text Simplification](https://aclanthology.org/2021.cl-4.28/) *— 2021 · Computational Linguistics*
68. [The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics](https://aclanthology.org/2021.gem-1.10/) *— 2021 · Proceedings of the First Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)*
69. [Unsupervised Text Style Transfer with Content Embeddings](https://aclanthology.org/2021.ranlp-1.27/) *— 2021 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)*
70. [A Corpus for Automatic Readability Assessment and Text Simplification of German](https://aclanthology.org/2020.lrec-1.404/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
71. [A multi-lingual and cross-domain analysis of features for text simplification](https://aclanthology.org/2020.readi-1.12/) *— 2020 · Proceedings of the 1st Workshop on Tools and Resources to Empower People with REAding DIfficulties (READI)*
72. [ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations](https://aclanthology.org/2020.acl-main.424/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
73. [An Empirical Study on Multi-Task Learning for Text Style Transfer and Paraphrase Generation](https://aclanthology.org/2020.coling-industry.6/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics: Industry Track*
74. [AutoMeTS: The Autocomplete for Medical Text Simplification](https://aclanthology.org/2020.coling-main.122/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
75. [Benchmarking Data-driven Automatic Text Simplification for German](https://aclanthology.org/2020.readi-1.7/) *— 2020 · Proceedings of the 1st Workshop on Tools and Resources to Empower People with REAding DIfficulties (READI)*
76. [Break It Down: A Question Understanding Benchmark](https://aclanthology.org/2020.tacl-1.13/) *— 2020 · Transactions of the Association for Computational Linguistics*
77. [CUT: Controllable Unsupervised Text Simplification](https://arxiv.org/abs/2012.01936) *— 2020 · arXiv:2012.01936*
78. [CombiNMT: An Exploration into Neural Text Simplification Models](https://aclanthology.org/2020.lrec-1.686/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
79. [CompLex –- A New Corpus for Lexical Complexity Prediction from Likert Scale Data](https://aclanthology.org/2020.readi-1.9/) *— 2020 · Proceedings of the 1st Workshop on Tools and Resources to Empower People with REAding DIfficulties (READI)*
80. [Context-Aware Automatic Text Simplification of Health Materials in Low-Resource Domains](https://aclanthology.org/2020.louhi-1.13/) *— 2020 · Proceedings of the 11th International Workshop on Health Text Mining and Information Analysis*
81. [Controllable Sentence Simplification](https://aclanthology.org/2020.lrec-1.577/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
82. [Coreference-Based Text Simplification](https://aclanthology.org/2020.readi-1.14/) *— 2020 · Proceedings of the 1st Workshop on Tools and Resources to Empower People with REAding DIfficulties (READI)*
83. [Data-Driven Sentence Simplification: Survey and Benchmark](https://aclanthology.org/2020.cl-1.4/) *— 2020 · Computational Linguistics*
84. [Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen](https://aclanthology.org/2020.acl-main.100/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
85. [FELIX: Flexible Text Editing Through Tagging and Insertion](https://aclanthology.org/2020.findings-emnlp.111/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
86. [Fact-based Text Editing](https://aclanthology.org/2020.acl-main.17/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
87. [French Biomedical Text Simplification: When Small and Precise Helps](https://aclanthology.org/2020.coling-main.62/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
88. [GRUEN for Evaluating Linguistic Quality of Generated Text](https://aclanthology.org/2020.findings-emnlp.9/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
89. [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*
90. [Learning to Update Natural Language Comments Based on Code Changes](https://aclanthology.org/2020.acl-main.168/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
91. [Lost in Back-Translation: Emotion Preservation in Neural Machine Translation](https://aclanthology.org/2020.coling-main.384/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
92. [Multi-Word Lexical Simplification](https://aclanthology.org/2020.coling-main.123/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
93. [Neural CRF Model for Sentence Alignment in Text Simplification](https://aclanthology.org/2020.acl-main.709/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
94. [On the Helpfulness of Document Context to Sentence Simplification](https://aclanthology.org/2020.coling-main.121/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
95. [PharmMT: A Neural Machine Translation Approach to Simplify Prescription Directions](https://aclanthology.org/2020.findings-emnlp.251/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
96. [Plug and Play Autoencoders for Conditional Text Generation](https://aclanthology.org/2020.emnlp-main.491/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
97. [SEMA: Text Simplification Evaluation through Semantic Alignment](https://aclanthology.org/2020.nlptea-1.17/) *— 2020 · Proceedings of the 6th Workshop on Natural Language Processing Techniques for Educational Applications*
98. [SOME: Reference-less Sub-Metrics Optimized for Manual Evaluations of Grammatical Error Correction](https://aclanthology.org/2020.coling-main.573/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
99. [Semi-Supervised Text Simplification with Back-Translation and Asymmetric Denoising Autoencoders](https://arxiv.org/abs/2004.14693) *— 2020 · arXiv:2004.14693*
100. [Simple-QE: Better Automatic Quality Estimation for Text Simplification](https://arxiv.org/abs/2012.12382) *— 2020 · arXiv:2012.12382*

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