Mova0.5 pre-release⌕
☰
home / docs / papers / cited-by / Who cites «Optimizing Statistical Machine Translation for Text Simplification» · page 3

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

Pages: 1 · 2 · 3 · 4 · 5

  1. GEMv2: Multilingual NLG Benchmarking in a Single Line of Code — 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 — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  3. Generation of Patient After-Visit Summaries to Support Physicians — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  4. Improving Iterative Text Revision by Learning Where to Edit from Other Revision Tasks — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  5. Improving Text Simplification with Factuality Error Detection — 2022 · Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)
  6. Inducing Positive Perspectives with Text Reframing — 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 — 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 — 2022 · Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)
  9. Klexikon: A German Dataset for Joint Summarization and Simplification — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  10. Lexically Constrained Decoding with Edit Operation Prediction for Controllable Text Simplification — 2022 · Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)
  11. Linguistic Corpus Annotation for Automatic Text Simplification Evaluation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  12. MUSS: Multilingual Unsupervised Sentence Simplification by Mining Paraphrases — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  13. Multitasking Framework for Unsupervised Simple Definition Generation — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  14. Noisy Channel for Automatic Text Simplification — 2022 · arXiv:2211.03152
  15. Novelty Controlled Paraphrase Generation with Retrieval Augmented Conditional Prompt Tuning — 2022 · arXiv:2202.00535
  16. PEER: A Collaborative Language Model — 2022 · arXiv:2208.11663
  17. Patient-friendly Clinical Notes: Towards a new Text Simplification Dataset — 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 — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  19. Quantified Reproducibility Assessment of NLP Results — 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 — 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 — 2022 · Proceedings of the 15th International Conference on Natural Language Generation: Generation Challenges
  22. Revision for Concision: A Constrained Paraphrase Generation Task — 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 — 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 — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  25. SimpleStyle: An Adaptable Style Transfer Approach — 2022 · arXiv:2212.10498
  26. TS-ANNO: An Annotation Tool to Build, Annotate and Evaluate Text Simplification Corpora — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: System Demonstrations
  27. Text Revision by On-the-Fly Representation Optimization — 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 — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  29. Towards Arabic Sentence Simplification via Classification and Generative Approaches — 2022 · Proceedings of the Seventh Arabic Natural Language Processing Workshop (WANLP)
  30. Understanding Iterative Revision from Human-Written Text — 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 — 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 — 2021 · Proceedings of the Third Workshop on New Frontiers in Summarization
  33. A Non-Autoregressive Edit-Based Approach to Controllable Text Simplification — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  34. A Review of Text Style Transfer using Deep Learning — 2021 · arXiv:2109.15144 · IEEE Transactions on Artificial Intelligence (TAI), (2021)
  35. A Syntax-Aware Edit-based System for Text Simplification — 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 — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  37. BiSECT: Learning to Split and Rephrase Sentences with Bitexts — 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 — 2021 · Proceedings of the 14th International Conference on Natural Language Generation
  39. Controllable Text Simplification with Explicit Paraphrasing — 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 — 2021 · Transactions of the Association for Computational Linguistics
  41. Document-Level Text Simplification: Dataset, Criteria and Baseline — 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 — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  43. Elaborative Simplification: Content Addition and Explanation Generation in Text Simplification — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  44. Evidence-based Factual Error Correction — 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 — 2021 · arXiv:2111.10952
  46. Explainable Prediction of Text Complexity: The Missing Preliminaries for Text Simplification — 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 — 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 — 2021 · Proceedings of the First Workshop on Language Technology for Equality, Diversity and Inclusion
  49. Flesch-Kincaid is Not a Text Simplification Evaluation Metric — 2021 · Proceedings of the First Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)
  50. Focus Attention: Promoting Faithfulness and Diversity in Summarization — 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 — 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 — 2021 · arXiv:2112.08592
  53. Improving Human Text Simplification with Sentence Fusion — 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 — 2021 · Proceedings of the 1st Workshop on Multilingual Representation Learning
  55. Investigating Text Simplification Evaluation — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  56. Keep It Simple: Unsupervised Simplification of Multi-Paragraph Text — 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 — 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 — 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 — 2021 · Proceedings of the 17th Workshop on Multiword Expressions (MWE 2021)
  60. Paragraph-level Simplification of Medical Texts — 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 — 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 — 2021 · arXiv:2104.07560
  63. SimpleNER Sentence Simplification System for GEM 2021 — 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 ) — 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 — 2021 · Proceedings of the Fifth Workshop on Teaching NLP
  66. Text Simplification by Tagging — 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 — 2021 · Computational Linguistics
  68. The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics — 2021 · Proceedings of the First Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)
  69. Unsupervised Text Style Transfer with Content Embeddings — 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 — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
  71. A multi-lingual and cross-domain analysis of features for text simplification — 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 — 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 — 2020 · Proceedings of the 28th International Conference on Computational Linguistics: Industry Track
  74. AutoMeTS: The Autocomplete for Medical Text Simplification — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  75. Benchmarking Data-driven Automatic Text Simplification for German — 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 — 2020 · Transactions of the Association for Computational Linguistics
  77. CUT: Controllable Unsupervised Text Simplification — 2020 · arXiv:2012.01936
  78. CombiNMT: An Exploration into Neural Text Simplification Models — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
  79. CompLex –- A New Corpus for Lexical Complexity Prediction from Likert Scale Data — 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 — 2020 · Proceedings of the 11th International Workshop on Health Text Mining and Information Analysis
  81. Controllable Sentence Simplification — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
  82. Coreference-Based Text Simplification — 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 — 2020 · Computational Linguistics
  84. Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  85. FELIX: Flexible Text Editing Through Tagging and Insertion — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  86. Fact-based Text Editing — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  87. French Biomedical Text Simplification: When Small and Precise Helps — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  88. GRUEN for Evaluating Linguistic Quality of Generated Text — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  89. Iterative Edit-Based Unsupervised Sentence Simplification — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  90. Learning to Update Natural Language Comments Based on Code Changes — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  91. Lost in Back-Translation: Emotion Preservation in Neural Machine Translation — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  92. Multi-Word Lexical Simplification — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  93. Neural CRF Model for Sentence Alignment in Text Simplification — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  94. On the Helpfulness of Document Context to Sentence Simplification — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  95. PharmMT: A Neural Machine Translation Approach to Simplify Prescription Directions — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  96. Plug and Play Autoencoders for Conditional Text Generation — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  97. SEMA: Text Simplification Evaluation through Semantic Alignment — 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 — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  99. Semi-Supervised Text Simplification with Back-Translation and Asymmetric Denoising Autoencoders — 2020 · arXiv:2004.14693
  100. Simple-QE: Better Automatic Quality Estimation for Text Simplification — 2020 · arXiv:2012.12382

Pages: 1 · 2 · 3 · 4 · 5

This page in Markdown → https://md.mova.elamur.ai/free/en/docs/papers/cited-by/xu-2016-optimizing-statistical-machine-translation-text-3/