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# Who cites «METEOR: An Automatic Metric for MT Evaluation with Improved Correlation with Human Judgments» · page 9

2025 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/banerjee-2005-meteor-automatic-metric-mt-evaluation/)

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1. [Building the Directed Semantic Graph for Coherent Long Text Generation](https://aclanthology.org/2021.emnlp-main.200/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
2. [CIDEr-R: Robust Consensus-based Image Description Evaluation](https://aclanthology.org/2021.wnut-1.39/) *— 2021 · Proceedings of the Seventh Workshop on Noisy User-generated Text (W-NUT 2021)*
3. [CLIPScore: A Reference-free Evaluation Metric for Image Captioning](https://aclanthology.org/2021.emnlp-main.595/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
4. [ChainCQG: Flow-Aware Conversational Question Generation](https://aclanthology.org/2021.eacl-main.177/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
5. [Chinese Character Decomposition for Neural MT with Multi-Word Expressions](https://aclanthology.org/2021.nodalida-main.35/) *— 2021 · Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa)*
6. [CoDesc: A Large Code–Description Parallel Dataset](https://aclanthology.org/2021.findings-acl.18/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
7. [CodeQA: A Question Answering Dataset for Source Code Comprehension](https://aclanthology.org/2021.findings-emnlp.223/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
8. [Commonsense-Focused Dialogues for Response Generation: An Empirical Study](https://aclanthology.org/2021.sigdial-1.13/) *— 2021 · Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue*
9. [Competence-based Multimodal Curriculum Learning for Medical Report Generation](https://aclanthology.org/2021.acl-long.234/) *— 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)*
10. [Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation](https://aclanthology.org/2021.emnlp-main.599/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
11. [ConQuest: Contextual Question Paraphrasing through Answer-Aware Synthetic Question Generation](https://aclanthology.org/2021.wnut-1.25/) *— 2021 · Proceedings of the Seventh Workshop on Noisy User-generated Text (W-NUT 2021)*
12. [Contrastive Attention for Automatic Chest X-ray Report Generation](https://aclanthology.org/2021.findings-acl.23/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
13. [Contrastive Multi-document Question Generation](https://aclanthology.org/2021.eacl-main.2/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
14. [Control Image Captioning Spatially and Temporally](https://aclanthology.org/2021.acl-long.157/) *— 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)*
15. [CrossVQA: Scalably Generating Benchmarks for Systematically Testing VQA Generalization](https://aclanthology.org/2021.emnlp-main.164/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
16. [Dealing with the Paradox of Quality Estimation](https://aclanthology.org/2021.mtsummit-loresmt.1/) *— 2021 · Proceedings of the 4th Workshop on Technologies for MT of Low Resource Languages (LoResMT2021)*
17. [Difficulty-Aware Machine Translation Evaluation](https://aclanthology.org/2021.acl-short.5/) *— 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)*
18. [Diversity and Consistency: Exploring Visual Question-Answer Pair Generation](https://aclanthology.org/2021.findings-emnlp.91/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
19. [Do Language Models Perform Generalizable Commonsense Inference?](https://aclanthology.org/2021.findings-acl.322/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
20. [Empathetic Dialog Generation with Fine-Grained Intents](https://aclanthology.org/2021.conll-1.10/) *— 2021 · Proceedings of the 25th Conference on Computational Natural Language Learning*
21. [Enhancing the Open-Domain Dialogue Evaluation in Latent Space](https://aclanthology.org/2021.findings-acl.432/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
22. [Entity-Based Semantic Adequacy for Data-to-Text Generation](https://aclanthology.org/2021.findings-emnlp.132/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
23. [Evaluating the Evaluation Metrics for Style Transfer: A Case Study in Multilingual Formality Transfer](https://md.mova.elamur.ai/free/en/docs/papers/briakou-2021-evaluating-evaluation-metrics-style-transfer/) *— our card · 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
24. [EventNarrative: A large-scale Event-centric Dataset for Knowledge Graph-to-Text Generation](https://arxiv.org/abs/2111.00276) *— 2021 · arXiv:2111.00276*
25. [Explanations for CommonsenseQA: New Dataset and Models](https://aclanthology.org/2021.acl-long.238/) *— 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)*
26. [Exploring Metaphoric Paraphrase Generation](https://aclanthology.org/2021.conll-1.26/) *— 2021 · Proceedings of the 25th Conference on Computational Natural Language Learning*
27. [Exploring Strategies for Generalizable Commonsense Reasoning with Pre-trained Models](https://aclanthology.org/2021.emnlp-main.445/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
28. [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*
29. [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*
30. [GEM: A General Evaluation Benchmark for Multimodal Tasks](https://aclanthology.org/2021.findings-acl.229/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
31. [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*
32. [GSum: A General Framework for Guided Neural Abstractive Summarization](https://aclanthology.org/2021.naacl-main.384/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
33. [Generating Negative Samples by Manipulating Golden Responses for Unsupervised Learning of a Response Evaluation Model](https://aclanthology.org/2021.naacl-main.120/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
34. [Good for Misconceived Reasons: An Empirical Revisiting on the Need for Visual Context in Multimodal Machine Translation](https://aclanthology.org/2021.acl-long.480/) *— 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. [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*
36. [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*
37. [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*
38. [Improving Sequence-to-Sequence Pre-training via Sequence Span Rewriting](https://aclanthology.org/2021.emnlp-main.45/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
39. [Improving Text Auto-Completion with Next Phrase Prediction](https://aclanthology.org/2021.findings-emnlp.378/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
40. [Improving Unsupervised Question Answering via Summarization-Informed Question Generation](https://aclanthology.org/2021.emnlp-main.340/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
41. [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*
42. [JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs](https://aclanthology.org/2021.findings-acl.223/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
43. [KPQA: A Metric for Generative Question Answering Using Keyphrase Weights](https://aclanthology.org/2021.naacl-main.170/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
44. [Language-agnostic Representation from Multilingual Sentence Encoders for Cross-lingual Similarity Estimation](https://aclanthology.org/2021.emnlp-main.612/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
45. [Learning Sequential and Structural Information for Source Code Summarization](https://aclanthology.org/2021.findings-acl.251/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
46. [Learning to Generate Questions by Learning to Recover Answer-containing Sentences](https://aclanthology.org/2021.findings-acl.132/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
47. [MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers](https://arxiv.org/abs/2102.01454) *— 2021 · arXiv:2102.01454*
48. [MT-Telescope: An interactive platform for contrastive evaluation of MT systems](https://aclanthology.org/2021.acl-demo.9/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: System Demonstrations*
49. [Macro-Average: Rare Types Are Important Too](https://aclanthology.org/2021.naacl-main.90/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
50. [Mention Flags (MF): Constraining Transformer-based Text Generators](https://aclanthology.org/2021.acl-long.9/) *— 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. [Modeling Graph Structure via Relative Position for Text Generation from Knowledge Graphs](https://aclanthology.org/2021.textgraphs-1.2/) *— 2021 · Proceedings of the Fifteenth Workshop on Graph-Based Methods for Natural Language Processing (TextGraphs-15)*
52. [Narrative Question Answering with Cutting-Edge Open-Domain QA Techniques: A Comprehensive Study](https://aclanthology.org/2021.tacl-1.61/) *— 2021 · Transactions of the Association for Computational Linguistics*
53. [Naturalness Evaluation of Natural Language Generation in Task-oriented Dialogues Using BERT](https://aclanthology.org/2021.ranlp-1.96/) *— 2021 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)*
54. [OTTers: One-turn Topic Transitions for Open-Domain Dialogue](https://aclanthology.org/2021.acl-long.194/) *— 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)*
55. [On the Evaluation of Machine Translation for Terminology Consistency](https://arxiv.org/abs/2106.11891) *— 2021 · arXiv:2106.11891*
56. [On-the-Fly Attention Modulation for Neural Generation](https://aclanthology.org/2021.findings-acl.107/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
57. [OpenMEVA: A Benchmark for Evaluating Open-ended Story Generation Metrics](https://aclanthology.org/2021.acl-long.500/) *— 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. [Parallel Refinements for Lexically Constrained Text Generation with BART](https://aclanthology.org/2021.emnlp-main.681/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
59. [Perturbation CheckLists for Evaluating NLG Evaluation Metrics](https://aclanthology.org/2021.emnlp-main.575/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
60. [Plan-then-Generate: Controlled Data-to-Text Generation via Planning](https://aclanthology.org/2021.findings-emnlp.76/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
61. [QACE: Asking Questions to Evaluate an Image Caption](https://aclanthology.org/2021.findings-emnlp.395/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
62. [QIAI at MEDIQA 2021: Multimodal Radiology Report Summarization](https://aclanthology.org/2021.bionlp-1.33/) *— 2021 · Proceedings of the 20th Workshop on Biomedical Language Processing*
63. [Reference-Free Word- and Sentence-Level Translation Evaluation with Token-Matching Metrics](https://aclanthology.org/2021.eval4nlp-1.16/) *— 2021 · Proceedings of the 2nd Workshop on Evaluation and Comparison of NLP Systems*
64. [Referenceless Parsing-Based Evaluation of AMR-to-English Generation](https://md.mova.elamur.ai/free/en/docs/papers/manning-2021-referenceless-parsing-based-evaluation-amr/) *— our card · 2021 · Proceedings of the 2nd Workshop on Evaluation and Comparison of NLP Systems*
65. [Regressive Ensemble for Machine Translation Quality Evaluation](https://aclanthology.org/2021.wmt-1.112/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
66. [Restoring and Mining the Records of the Joseon Dynasty via Neural Language Modeling and Machine Translation](https://aclanthology.org/2021.naacl-main.317/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
67. [Retrieval Enhanced Model for Commonsense Generation](https://aclanthology.org/2021.findings-acl.269/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
68. [Reward Optimization for Neural Machine Translation with Learned Metrics](https://arxiv.org/abs/2104.07541) *— 2021 · arXiv:2104.07541*
69. [SMURF: SeMantic and linguistic UndeRstanding Fusion for Caption Evaluation via Typicality Analysis](https://aclanthology.org/2021.acl-long.175/) *— 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. [Scientific Credibility of Machine Translation Research: A Meta-Evaluation of 769 Papers](https://aclanthology.org/2021.acl-long.566/) *— 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)*
71. [Searchable Hidden Intermediates for End-to-End Models of Decomposable Sequence Tasks](https://aclanthology.org/2021.naacl-main.151/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
72. [Semantic Answer Similarity for Evaluating Question Answering Models](https://aclanthology.org/2021.mrqa-1.15/) *— 2021 · Proceedings of the 3rd Workshop on Machine Reading for Question Answering*
73. [Semantic Relation-aware Difference Representation Learning for Change Captioning](https://aclanthology.org/2021.findings-acl.6/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
74. [Sentence-Permuted Paragraph Generation](https://aclanthology.org/2021.emnlp-main.412/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
75. [Sentiment-Aware Measure (SAM) for Evaluating Sentiment Transfer by Machine Translation Systems](https://aclanthology.org/2021.ranlp-1.137/) *— 2021 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)*
76. [Syntax-aware Transformers for Neural Machine Translation: The Case of Text to Sign Gloss Translation](https://aclanthology.org/2021.bucc-1.4/) *— 2021 · Proceedings of the 14th Workshop on Building and Using Comparable Corpora (BUCC 2021)*
77. [Synthesizing Adversarial Negative Responses for Robust Response Ranking and Evaluation](https://aclanthology.org/2021.findings-acl.338/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
78. [System Combination for Grammatical Error Correction Based on Integer Programming](https://aclanthology.org/2021.ranlp-1.94/) *— 2021 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)*
79. [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*
80. [Temporal Question Generation from History Text](https://aclanthology.org/2021.icon-main.49/) *— 2021 · Proceedings of the 18th International Conference on Natural Language Processing (ICON)*
81. [Ten Years of BabelNet: A Survey](https://www.ijcai.org/proceedings/2021/620) *— 2021 · IJCAI-21*
82. [The Curious Case of Hallucinations in Neural Machine Translation](https://aclanthology.org/2021.naacl-main.92/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
83. [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)*
84. [The SelectGen Challenge: Finding the Best Training Samples for Few-Shot Neural Text Generation](https://aclanthology.org/2021.inlg-1.36/) *— 2021 · Proceedings of the 14th International Conference on Natural Language Generation*
85. [Towards Quantifiable Dialogue Coherence Evaluation](https://aclanthology.org/2021.acl-long.211/) *— 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)*
86. [Towards Table-to-Text Generation with Numerical Reasoning](https://aclanthology.org/2021.acl-long.115/) *— 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)*
87. [Towards the evaluation of automatic simultaneous speech translation from a communicative perspective](https://aclanthology.org/2021.iwslt-1.29/) *— 2021 · Proceedings of the 18th International Conference on Spoken Language Translation (IWSLT 2021)*
88. [Trainable Ranking Models to Evaluate the Semantic Accuracy of Data-to-Text Neural Generator](https://aclanthology.org/2021.eval4nlp-1.6/) *— 2021 · Proceedings of the 2nd Workshop on Evaluation and Comparison of NLP Systems*
89. [Translation Quality Assessment: A Brief Survey on Manual and Automatic Methods](https://aclanthology.org/2021.motra-1.3/) *— 2021 · Proceedings for the First Workshop on Modelling Translation: Translatology in the Digital Age*
90. [UMIC: An Unreferenced Metric for Image Captioning via Contrastive Learning](https://aclanthology.org/2021.acl-short.29/) *— 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)*
91. [Video Question Answering with Phrases via Semantic Roles](https://aclanthology.org/2021.naacl-main.196/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
92. [Vision Guided Generative Pre-trained Language Models for Multimodal Abstractive Summarization](https://aclanthology.org/2021.emnlp-main.326/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
93. [WikiTableT: A Large-Scale Data-to-Text Dataset for Generating Wikipedia Article Sections](https://aclanthology.org/2021.findings-acl.17/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
94. [融合XLM词语表示的神经机器译文自动评价方法(Neural Automatic Evaluation of Machine Translation Method Combined with XLM Word Representation)](https://aclanthology.org/2021.ccl-1.2/) *— 2021 · Proceedings of the 20th Chinese National Conference on Computational Linguistics*
95. [$\mathcalP^2$: A Plan-and-Pretrain Approach for Knowledge Graph-to-Text Generation](https://aclanthology.org/2020.webnlg-1.10/) *— 2020 · Proceedings of the 3rd International Workshop on Natural Language Generation from the Semantic Web (WebNLG+)*
96. [A General Benchmarking Framework for Text Generation](https://aclanthology.org/2020.webnlg-1.3/) *— 2020 · Proceedings of the 3rd International Workshop on Natural Language Generation from the Semantic Web (WebNLG+)*
97. [A Human Evaluation of AMR-to-English Generation Systems](https://md.mova.elamur.ai/free/en/docs/papers/manning-2020-human-evaluation-amr-english-generation/) *— our card · 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
98. [A Semi-supervised Approach to Generate the Code-Mixed Text using Pre-trained Encoder and Transfer Learning](https://aclanthology.org/2020.findings-emnlp.206/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
99. [A Simple and Effective Unified Encoder for Document-Level Machine Translation](https://aclanthology.org/2020.acl-main.321/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
100. [A Summarization Dataset of Slovak News Articles](https://aclanthology.org/2020.lrec-1.830/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*

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