Mova0.5 pre-release⌕
☰
home / docs / papers / cited-by / Who cites «Tangled up in BLEU: Reevaluating the Evaluation of Automatic Machine Translation Evaluation Metrics» · page 2

Who cites «Tangled up in BLEU: Reevaluating the Evaluation of Automatic Machine Translation Evaluation Metrics» · page 2

203 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

Pages: 1 · 2 · 3

  1. NLG-Metricverse: An End-to-End Library for Evaluating Natural Language Generation — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  2. Non-Autoregressive Machine Translation: It''s Not as Fast as it Seems — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  3. Of Human Criteria and Automatic Metrics: A Benchmark of the Evaluation of Story Generation — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  4. Part Represents Whole: Improving the Evaluation of Machine Translation System Using Entropy Enhanced Metrics — 2022 · Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022
  5. Quality-Aware Decoding for Neural Machine Translation — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  6. Re-Examining System-Level Correlations of Automatic Summarization Evaluation Metrics — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  7. Reproducibility Issues for BERT-based Evaluation Metrics — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  8. Results of WMT22 Metrics Shared Task: Stop Using BLEU – Neural Metrics Are Better and More Robust — our card · 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)
  9. Searching for COMETINHO: The Little Metric That Could — 2022 · Proceedings of the 23rd Annual Conference of the European Association for Machine Translation
  10. Searching for a Higher Power in the Human Evaluation of MT — 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)
  11. Spurious Correlations in Reference-Free Evaluation of Text Generation — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  12. TYPIC: A Corpus of Template-Based Diagnostic Comments on Argumentation — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  13. UniTE: Unified Translation Evaluation — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  14. Why is sentence similarity benchmark not predictive of application-oriented task performance? — 2022 · Proceedings of the 3rd Workshop on Evaluation and Comparison of NLP Systems
  15. m$^4$ Adapter: Multilingual Multi-Domain Adaptation for Machine Translation with a Meta-Adapter — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  16. A Fine-Grained Analysis of BERTScore — 2021 · Proceedings of the Sixth Conference on Machine Translation
  17. Assessing Reference-Free Peer Evaluation for Machine Translation — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  18. Automatic Rephrasing of Transcripts-based Action Items — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  19. BARTScore: Evaluating Generated Text as Text Generation — 2021 · arXiv:2106.11520
  20. Better than Average: Paired Evaluation of NLP systems — 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)
  21. Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  22. Difficulty-Aware Machine Translation Evaluation — 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)
  23. Evaluating the Efficacy of Summarization Evaluation across Languages — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  24. Evaluating the Morphosyntactic Well-formedness of Generated Texts — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  25. Findings of the WMT 2021 Shared Tasks in Unsupervised MT and Very Low Resource Supervised MT — 2021 · Proceedings of the Sixth Conference on Machine Translation
  26. Global Explainability of BERT-Based Evaluation Metrics by Disentangling along Linguistic Factors — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  27. Grounding as a Collaborative Process — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
  28. Learning Compact Metrics for MT — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  29. Machine Translation into Low-resource Language Varieties — 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)
  30. Macro-Average: Rare Types Are Important Too — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  31. NRC-CNRC Machine Translation Systems for the 2021 AmericasNLP Shared Task — 2021 · Proceedings of the First Workshop on Natural Language Processing for Indigenous Languages of the Americas
  32. On the Stability of System Rankings at WMT — 2021 · Proceedings of the Sixth Conference on Machine Translation
  33. Online Learning Meets Machine Translation Evaluation: Finding the Best Systems with the Least Human Effort — 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)
  34. OpenMEVA: A Benchmark for Evaluating Open-ended Story Generation Metrics — 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)
  35. Perturbation CheckLists for Evaluating NLG Evaluation Metrics — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  36. Results of the WMT21 Metrics Shared Task: Evaluating Metrics with Expert-based Human Evaluations on TED and News Domain — 2021 · Proceedings of the Sixth Conference on Machine Translation
  37. Reward Optimization for Neural Machine Translation with Learned Metrics — 2021 · arXiv:2104.07541
  38. RoBLEURT Submission for WMT2021 Metrics Task — 2021 · Proceedings of the Sixth Conference on Machine Translation
  39. Scientific Credibility of Machine Translation Research: A Meta-Evaluation of 769 Papers — 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)
  40. Sentiment-Aware Measure (SAM) for Evaluating Sentiment Transfer by Machine Translation Systems — 2021 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)
  41. Shades of BLEU, Flavours of Success: The Case of MultiWOZ — 2021 · Proceedings of the First Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)
  42. The (Un)Suitability of Automatic Evaluation Metrics for Text Simplification — 2021 · Computational Linguistics
  43. The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics — 2021 · Proceedings of the First Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)
  44. The LMU Munich System for the WMT 2021 Large-Scale Multilingual Machine Translation Shared Task — 2021 · Proceedings of the Sixth Conference on Machine Translation
  45. The statistical advantage of automatic NLG metrics at the system level — 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)
  46. To Ship or Not to Ship: An Extensive Evaluation of Automatic Metrics for Machine Translation — 2021 · Proceedings of the Sixth Conference on Machine Translation
  47. Towards a Decomposable Metric for Explainable Evaluation of Text Generation from AMR — our card · 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
  48. What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  49. A Gold Standard Methodology for Evaluating Accuracy in Data-To-Text Systems — 2020 · Proceedings of the 13th International Conference on Natural Language Generation
  50. Automatic Machine Translation Evaluation in Many Languages via Zero-Shot Paraphrasing — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  51. Curious Case of Language Generation Evaluation Metrics: A Cautionary Tale — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  52. Disentangling the Properties of Human Evaluation Methods: A Classification System to Support Comparability, Meta-Evaluation and Reproducibility Testing — 2020 · Proceedings of the 13th International Conference on Natural Language Generation
  53. Evaluation of Text Generation: A Survey — 2020 · arXiv:2006.14799
  54. Findings of the WMT 2020 Biomedical Translation Shared Task: Basque, Italian and Russian as New Additional Languages — 2020 · Proceedings of the Fifth Conference on Machine Translation
  55. Gradations of Error Severity in Automatic Image Descriptions — 2020 · Proceedings of the 13th International Conference on Natural Language Generation
  56. KoBE: Knowledge-Based Machine Translation Evaluation — our card · 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  57. Learning to Evaluate Translation Beyond English: BLEURT Submissions to the WMT Metrics 2020 Shared Task — 2020 · Proceedings of the Fifth Conference on Machine Translation
  58. Neural Machine Translation for translating into Croatian and Serbian — 2020 · Proceedings of the 7th Workshop on NLP for Similar Languages, Varieties and Dialects
  59. ParBLEU: Augmenting Metrics with Automatic Paraphrases for the WMT''20 Metrics Shared Task — 2020 · Proceedings of the Fifth Conference on Machine Translation
  60. Results of the WMT20 Metrics Shared Task — 2020 · Proceedings of the Fifth Conference on Machine Translation
  61. Studying the Impact of Filling Information Gaps on the Output Quality of Neural Data-to-Text — 2020 · Proceedings of the 13th International Conference on Natural Language Generation
  62. Unbabel's Participation in the WMT20 Metrics Shared Task — 2020 · Proceedings of the Fifth Conference on Machine Translation
  63. anilkumar-2026-limp-linguistically-informed-multi-strategy
  64. arous-2026-reprohum-0033-05-human-evaluation
  65. arunkumar-2023-real-time-visual-feedback-guide
  66. aufrant-2022-is-nlp-ready-standardization
  67. bharati-2026-american-palimpsest-quantifying-south-asian
  68. bhavya-2024-long-form-analogy-evaluation-challenge
  69. buschbeck-2022-hi-how-can-i-help
  70. czehmann-2026-sacred-bird-called-phoenix-auditing
  71. deriu-2023-correction-errors-preference-ratings-automated
  72. diianni-2025-don-t-sweat-small-stuff
  73. donati-2025-do-large-language-models-understand
  74. edwards-2026-report-based-recommendations-policy-making
  75. harrasse-2026-debate-deliberate-decide-d3-cost
  76. huang-2024-self-evaluation-large-language-model
  77. kasai-2024-call-clarity-beam-search-how
  78. kim-2022-vacillating-human-correlation-sacrebleu-unprotected
  79. knowles-2022-test-set-sampling-affects-system
  80. knowles-2024-some-tradeoffs-continual-learning-parliamentary
  81. koch-2022-pre-trained-language-models-evaluating
  82. kumar-2026-pressure-testing-deception-probes-llms
  83. kumar-2026-srcmix-mixing-related-source-languages
  84. larionov-2023-team-nllg-submission-eval4nlp-2023
  85. larkin-2021-like-chalk-cheese-effects-translationese
  86. liu-2024-llms-as-narcissistic-evaluators-when
  87. mcgiff-2025-semiadapt-semilora-efficient-domain-adaptation
  88. miltenburg-2020-evaluation-rules-use-grammars-rule
  89. nagato-2025-character-aware-english-japanese-translation
  90. nakhle-2023-l-evaluation-de-la-traduction
  91. oliva-2025-illusion-perfect-metric-why-evaluating
  92. pengpun-2024-creating-english-thai-code-switched
  93. popovic-2020-neural-machine-translation-between-similar
  94. signoroni-2023-muni-nlp-systems-low-resource
  95. stap-2024-fine-tuning-paradox-boosting-translation
  96. tangsali-2022-unsupervised-very-low-resource-supervised
  97. thomson-2023-enhancing-factualness-controllability-data-text
  98. vallejo-2022-evaluating-examiner-perils-pearson-correlation
  99. wang-2022-noisy-label-regularisation-textual-regression
  100. wang-2023-delving-into-evaluation-metrics-generation

Pages: 1 · 2 · 3

This page in Markdown → https://md.mova.elamur.ai/free/en/docs/papers/cited-by/mathur-2020-tangled-up-bleu-reevaluating-evaluation-2/