---
title: "Who cites Bleu: a Method for Automatic Evaluation of…"
description: "The papers of the Elamur Research library that cite «Bleu: a Method for Automatic Evaluation of Machine Translation», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/57/"
---
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# Who cites «Bleu: a Method for Automatic Evaluation of Machine Translation» · page 57

10827 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/)

Pages: [1](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/) · … · [56](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/56/) · **57** · [58](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/58/) · … · [109](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/109/)

1. [Exploring the Importance of Source Text in Automatic Post-Editing for Context-Aware Machine Translation](https://aclanthology.org/2021.nodalida-main.34/) *— 2021 · Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa)*
2. [Exposure Bias versus Self-Recovery: Are Distortions Really Incremental for Autoregressive Text Generation?](https://aclanthology.org/2021.emnlp-main.415/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
3. [Extending a Text-to-Pictograph System to French and to Arasaac](https://aclanthology.org/2021.ranlp-1.118/) *— 2021 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)*
4. [Extremely low-resource machine translation for closely related languages](https://aclanthology.org/2021.nodalida-main.5/) *— 2021 · Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa)*
5. [FUDGE: Controlled Text Generation With Future Discriminators](https://aclanthology.org/2021.naacl-main.276/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
6. [Fabula Entropy Indexing: Objective Measures of Story Coherence](https://aclanthology.org/2021.nuse-1.9/) *— 2021 · Proceedings of the Third Workshop on Narrative Understanding*
7. [Facilitating Terminology Translation with Target Lemma Annotations](https://aclanthology.org/2021.eacl-main.271/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
8. [Factorising Meaning and Form for Intent-Preserving Paraphrasing](https://aclanthology.org/2021.acl-long.112/) *— 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)*
9. [Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation](https://aclanthology.org/2021.findings-emnlp.10/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
10. [Fast and Accurate Neural Machine Translation with Translation Memory](https://aclanthology.org/2021.acl-long.246/) *— 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)*
11. [Fast-MD: Fast Multi-Decoder End-to-End Speech Translation with Non-Autoregressive Hidden Intermediates](https://arxiv.org/abs/2109.12804) *— 2021 · arXiv:2109.12804*
12. [Feature-level Incongruence Reduction for Multimodal Translation](https://aclanthology.org/2021.alvr-1.1/) *— 2021 · Proceedings of the Second Workshop on Advances in Language and Vision Research*
13. [Few-Shot Table-to-Text Generation with Prototype Memory](https://aclanthology.org/2021.findings-emnlp.77/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
14. [Few-shot Knowledge Graph-to-Text Generation with Pretrained Language Models](https://aclanthology.org/2021.findings-acl.136/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
15. [Few-shot learning through contextual data augmentation](https://aclanthology.org/2021.eacl-main.90/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
16. [Field Experiments of Real Time Foreign News Distribution Powered by MT](https://aclanthology.org/2021.mtsummit-up.17/) *— 2021 · Proceedings of Machine Translation Summit XVIII: Users and Providers Track*
17. [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*
18. [Finding a Balanced Degree of Automation for Summary Evaluation](https://aclanthology.org/2021.emnlp-main.531/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
19. [Findings of the 2021 Conference on Machine Translation (WMT21)](https://aclanthology.org/2021.wmt-1.1/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
20. [Findings of the AmericasNLP 2021 Shared Task on Open Machine Translation for Indigenous Languages of the Americas](https://aclanthology.org/2021.americasnlp-1.23/) *— 2021 · Proceedings of the First Workshop on Natural Language Processing for Indigenous Languages of the Americas*
21. [Findings of the LoResMT 2021 Shared Task on COVID and Sign Language for Low-resource Languages](https://aclanthology.org/2021.mtsummit-loresmt.11/) *— 2021 · Proceedings of the 4th Workshop on Technologies for MT of Low Resource Languages (LoResMT2021)*
22. [Findings of the Shared Task on Machine Translation in Dravidian languages](https://aclanthology.org/2021.dravidianlangtech-1.15/) *— 2021 · Proceedings of the First Workshop on Speech and Language Technologies for Dravidian Languages*
23. [Findings of the WMT 2021 Biomedical Translation Shared Task: Summaries of Animal Experiments as New Test Set](https://aclanthology.org/2021.wmt-1.70/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
24. [Findings of the WMT 2021 Shared Tasks in Unsupervised MT and Very Low Resource Supervised MT](https://aclanthology.org/2021.wmt-1.72/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
25. [Fine Grained Human Evaluation for English-to-Chinese Machine Translation: A Case Study on Scientific Text](https://arxiv.org/abs/2110.14766) *— 2021 · arXiv:2110.14766*
26. [Fine-grained Factual Consistency Assessment for Abstractive Summarization Models](https://aclanthology.org/2021.emnlp-main.9/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
27. [Finetuning Pretrained Transformers into RNNs](https://aclanthology.org/2021.emnlp-main.830/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
28. [Fingerprinting Fine-tuned Language Models in the Wild](https://aclanthology.org/2021.findings-acl.409/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
29. [Fool Me Twice: Entailment from Wikipedia Gamification](https://aclanthology.org/2021.naacl-main.32/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
30. [From Machine Translation to Code-Switching: Generating High-Quality Code-Switched Text](https://aclanthology.org/2021.acl-long.245/) *— 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)*
31. [Fully Non-autoregressive Neural Machine Translation: Tricks of the Trade](https://aclanthology.org/2021.findings-acl.11/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
32. [GANDALF: a General Character Name Description Dataset for Long Fiction](https://aclanthology.org/2021.mrqa-1.13/) *— 2021 · Proceedings of the 3rd Workshop on Machine Reading for Question Answering*
33. [GCDF1: A Goal- and Context- Driven F-Score for Evaluating User Models](https://aclanthology.org/2021.eancs-1.2/) *— 2021 · The First Workshop on Evaluations and Assessments of Neural Conversation Systems*
34. [GLGE: A New General Language Generation Evaluation Benchmark](https://aclanthology.org/2021.findings-acl.36/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
35. [GTAE: Graph-Transformer based Auto-Encoders for Linguistic-Constrained Text Style Transfer](https://arxiv.org/abs/2102.00769) *— 2021 · arXiv:2102.00769*
36. [GTCOM Neural Machine Translation Systems for WMT21](https://aclanthology.org/2021.wmt-1.3/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
37. [GTM: A Generative Triple-wise Model for Conversational Question Generation](https://aclanthology.org/2021.acl-long.271/) *— 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)*
38. [GX at SemEval-2021 Task 2: BERT with Lemma Information for MCL-WiC Task](https://aclanthology.org/2021.semeval-1.92/) *— 2021 · Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)*
39. [GX@DravidianLangTech-EACL2021: Multilingual Neural Machine Translation and Back-translation](https://aclanthology.org/2021.dravidianlangtech-1.18/) *— 2021 · Proceedings of the First Workshop on Speech and Language Technologies for Dravidian Languages*
40. [Gated Convolutional Sequence to Sequence Based Learning for English-Hingilsh Code-Switched Machine Translation.](https://aclanthology.org/2021.calcs-1.4/) *— 2021 · Proceedings of the Fifth Workshop on Computational Approaches to Linguistic Code-Switching*
41. [Gender Bias in Machine Translation](https://aclanthology.org/2021.tacl-1.51/) *— 2021 · Transactions of the Association for Computational Linguistics*
42. [Gender bias amplification during Speed-Quality optimization in Neural Machine Translation](https://aclanthology.org/2021.acl-short.15/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)*
43. [Generalising Multilingual Concept-to-Text NLG with Language Agnostic Delexicalisation](https://aclanthology.org/2021.acl-long.10/) *— 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)*
44. [Generate, Prune, Select: A Pipeline for Counterspeech Generation against Online Hate Speech](https://aclanthology.org/2021.findings-acl.12/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
45. [Generating Answer Candidates for Quizzes and Answer-Aware Question Generators](https://aclanthology.org/2021.ranlp-srw.28/) *— 2021 · Proceedings of the Student Research Workshop Associated with RANLP 2021*
46. [Generating Mammography Reports from Multi-view Mammograms with BERT](https://aclanthology.org/2021.findings-emnlp.15/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
47. [Generating Racing Game Commentary from Vision, Language, and Structured Data](https://aclanthology.org/2021.inlg-1.11/) *— 2021 · Proceedings of the 14th International Conference on Natural Language Generation*
48. [Generating Relevant and Coherent Dialogue Responses using Self-Separated Conditional Variational AutoEncoders](https://aclanthology.org/2021.acl-long.437/) *— 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)*
49. [Generating Syntactically Controlled Paraphrases without Using Annotated Parallel Pairs](https://aclanthology.org/2021.eacl-main.88/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
50. [Generating Weather Comments from Meteorological Simulations](https://aclanthology.org/2021.eacl-main.125/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
51. [Generative Imagination Elevates Machine Translation](https://aclanthology.org/2021.naacl-main.457/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
52. [Generic Mechanism for Reducing Repetitions in Encoder-Decoder Models](https://aclanthology.org/2021.ranlp-1.180/) *— 2021 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)*
53. [Generic resources are what you need: Style transfer tasks without task-specific parallel training data](https://aclanthology.org/2021.emnlp-main.349/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
54. [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*
55. [Global Explainability of BERT-Based Evaluation Metrics by Disentangling along Linguistic Factors](https://aclanthology.org/2021.emnlp-main.701/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
56. [Goal-Oriented Script Construction](https://aclanthology.org/2021.inlg-1.19/) *— 2021 · Proceedings of the 14th International Conference on Natural Language Generation*
57. [Grammar Accuracy Evaluation (GAE): Quantifiable Quantitative Evaluation of Machine Translation Models](https://arxiv.org/abs/2105.14277) *— 2021 · arXiv:2105.14277 · Journal of KIISE 49.7 (2022), pp. 514-520*
58. [Graphine: A Dataset for Graph-aware Terminology Definition Generation](https://aclanthology.org/2021.emnlp-main.278/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
59. [Grey-box Adversarial Attack And Defence For Sentiment Classification](https://aclanthology.org/2021.naacl-main.321/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
60. [Grouped-Attention for Content-Selection and Content-Plan Generation](https://aclanthology.org/2021.findings-emnlp.166/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
61. [Guiding Teacher Forcing with Seer Forcing for Neural Machine Translation](https://aclanthology.org/2021.acl-long.223/) *— 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. [Guiding the Growth: Difficulty-Controllable Question Generation through Step-by-Step Rewriting](https://aclanthology.org/2021.acl-long.465/) *— 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)*
63. [GupShup: Summarizing Open-Domain Code-Switched Conversations](https://aclanthology.org/2021.emnlp-main.499/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
64. [HERALD: An Annotation Efficient Method to Detect User Disengagement in Social Conversations](https://aclanthology.org/2021.acl-long.283/) *— 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)*
65. [HI-CMLM: Improve CMLM with Hybrid Decoder Input](https://aclanthology.org/2021.inlg-1.16/) *— 2021 · Proceedings of the 14th International Conference on Natural Language Generation*
66. [HPSG/MRS-Based Natural Language Generation Using Transformer](https://aclanthology.org/2021.paclic-1.31/) *— 2021 · Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation*
67. [Harnessing Multilinguality in Unsupervised Machine Translation for Rare Languages](https://aclanthology.org/2021.naacl-main.89/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
68. [HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation](https://arxiv.org/abs/2108.06712) *— 2021 · arXiv:2108.06712*
69. [Hierarchical Context-aware Network for Dense Video Event Captioning](https://aclanthology.org/2021.acl-long.156/) *— 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)*
70. [HinGE: A Dataset for Generation and Evaluation of Code-Mixed Hinglish Text](https://aclanthology.org/2021.eval4nlp-1.20/) *— 2021 · Proceedings of the 2nd Workshop on Evaluation and Comparison of NLP Systems*
71. [How Good (really) are Grammatical Error Correction Systems?](https://aclanthology.org/2021.eacl-main.231/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
72. [How Helpful is Inverse Reinforcement Learning for Table-to-Text Generation?](https://aclanthology.org/2021.acl-short.11/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)*
73. [How Length Prediction Influence the Performance of Non-Autoregressive Translation?](https://aclanthology.org/2021.blackboxnlp-1.14/) *— 2021 · Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP*
74. [How May I Help You? Using Neural Text Simplification to Improve Downstream NLP Tasks](https://aclanthology.org/2021.findings-emnlp.343/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
75. [How far can we get with one GPU in 100 hours? CoAStaL at MultiIndicMT Shared Task](https://aclanthology.org/2021.wat-1.24/) *— 2021 · Proceedings of the 8th Workshop on Asian Translation (WAT2021)*
76. [How well do you know your summarization datasets?](https://aclanthology.org/2021.findings-acl.303/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
77. [HyKnow: End-to-End Task-Oriented Dialog Modeling with Hybrid Knowledge Management](https://aclanthology.org/2021.findings-acl.139/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
78. [Hybrid Statistical Machine Translation for English-Myanmar: UTYCC Submission to WAT-2021](https://aclanthology.org/2021.wat-1.7/) *— 2021 · Proceedings of the 8th Workshop on Asian Translation (WAT2021)*
79. [ICT”s System for AutoSimTrans 2021: Robust Char-Level Simultaneous Translation](https://aclanthology.org/2021.autosimtrans-1.1/) *— 2021 · Proceedings of the Second Workshop on Automatic Simultaneous Translation*
80. [IGA: An Intent-Guided Authoring Assistant](https://aclanthology.org/2021.emnlp-main.483/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
81. [IIIT Hyderabad Submission To WAT 2021: Efficient Multilingual NMT systems for Indian languages](https://aclanthology.org/2021.wat-1.25/) *— 2021 · Proceedings of the 8th Workshop on Asian Translation (WAT2021)*
82. [IITP-MT at CALCS2021: English to Hinglish Neural Machine Translation using Unsupervised Synthetic Code-Mixed Parallel Corpus](https://aclanthology.org/2021.calcs-1.5/) *— 2021 · Proceedings of the Fifth Workshop on Computational Approaches to Linguistic Code-Switching*
83. [IITP-MT at WAT2021: Indic-English Multilingual Neural Machine Translation using Romanized Vocabulary](https://aclanthology.org/2021.wat-1.29/) *— 2021 · Proceedings of the 8th Workshop on Asian Translation (WAT2021)*
84. [ILDC for CJPE: Indian Legal Documents Corpus for Court Judgment Prediction and Explanation](https://aclanthology.org/2021.acl-long.313/) *— 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)*
85. [ISTIC's Triangular Machine Translation System for WMT2021](https://aclanthology.org/2021.wmt-1.36/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
86. [Idiomatic Expression Paraphrasing without Strong Supervision](https://arxiv.org/abs/2112.08592) *— 2021 · arXiv:2112.08592*
87. [IgSEG: Image-guided Story Ending Generation](https://aclanthology.org/2021.findings-acl.274/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
88. [Image Caption Generation Framework for Assamese News using Attention Mechanism](https://aclanthology.org/2021.icon-main.28/) *— 2021 · Proceedings of the 18th International Conference on Natural Language Processing (ICON)*
89. [Implicit Premise Generation with Discourse-aware Commonsense Knowledge Models](https://aclanthology.org/2021.emnlp-main.504/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
90. [Importance-based Neuron Allocation for Multilingual Neural Machine Translation](https://aclanthology.org/2021.acl-long.445/) *— 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)*
91. [Improved English to Hindi Multimodal Neural Machine Translation](https://aclanthology.org/2021.wat-1.17/) *— 2021 · Proceedings of the 8th Workshop on Asian Translation (WAT2021)*
92. [Improved statistical machine translation using monolingual paraphrases](https://arxiv.org/abs/2109.15119) *— 2021 · arXiv:2109.15119 · ECAI-2008*
93. [Improving Adversarial Text Generation with n-Gram Matching](https://aclanthology.org/2021.paclic-1.32/) *— 2021 · Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation*
94. [Improving Automated Evaluation of Open Domain Dialog via Diverse Reference Augmentation](https://aclanthology.org/2021.findings-acl.357/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
95. [Improving Empathetic Response Generation by Recognizing Emotion Cause in Conversations](https://aclanthology.org/2021.findings-emnlp.70/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
96. [Improving End-to-End Task-Oriented Dialog System with A Simple Auxiliary Task](https://aclanthology.org/2021.findings-emnlp.112/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
97. [Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation](https://aclanthology.org/2021.naacl-main.416/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
98. [Improving Formality Style Transfer with Context-Aware Rule Injection](https://aclanthology.org/2021.acl-long.124/) *— 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)*
99. [Improving Neural Machine Translation by Bidirectional Training](https://aclanthology.org/2021.emnlp-main.263/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
100. [Improving Paraphrase Detection with the Adversarial Paraphrasing Task](https://aclanthology.org/2021.acl-long.552/) *— 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)*

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