---
title: "Who cites METEOR: An Automatic Metric for MT Evaluation…"
description: "The papers of the Elamur Research library that cite «METEOR: An Automatic Metric for MT Evaluation with Improved Correlation with Human Judgments», found…"
canonical: "https://research.elamur.ai/free/en/papers/banerjee-2005-meteor-automatic-metric-mt-evaluation/cited-by/page/10/"
---
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# Who cites «METEOR: An Automatic Metric for MT Evaluation with Improved Correlation with Human Judgments» · page 10

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

Pages: [1](https://md.research.elamur.ai/free/en/papers/banerjee-2005-meteor-automatic-metric-mt-evaluation/cited-by/) · … · [9](https://md.research.elamur.ai/free/en/papers/banerjee-2005-meteor-automatic-metric-mt-evaluation/cited-by/page/9/) · **10** · [11](https://md.research.elamur.ai/free/en/papers/banerjee-2005-meteor-automatic-metric-mt-evaluation/cited-by/page/11/) · … · [21](https://md.research.elamur.ai/free/en/papers/banerjee-2005-meteor-automatic-metric-mt-evaluation/cited-by/page/21/)

1. [Dial-M: A Masking-based Framework for Dialogue Evaluation](https://aclanthology.org/2023.sigdial-1.7/) *— 2023 · Proceedings of the 24th Annual Meeting of the Special Interest Group on Discourse and Dialogue*
2. [DialoGen: Generalized Long-Range Context Representation for Dialogue Systems](https://aclanthology.org/2023.paclic-1.37/) *— 2023 · Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation*
3. [Discourse Centric Evaluation of Machine Translation with a Densely Annotated Parallel Corpus](https://arxiv.org/abs/2305.11142) *— 2023 · arXiv:2305.11142 · ACL 2023*
4. [Discourse-Centric Evaluation of Document-level Machine Translation with a New Densely Annotated Parallel Corpus of Novels](https://aclanthology.org/2023.acl-long.435/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
5. [Distilled GPT for Source Code Summarization](https://arxiv.org/abs/2308.14731) *— 2023 · arXiv:2308.14731*
6. [Diverse Content Selection for Educational Question Generation](https://aclanthology.org/2023.eacl-srw.13/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop*
7. [DocAsRef: An Empirical Study on Repurposing Reference-based Summary Quality Metrics as Reference-free Metrics](https://aclanthology.org/2023.findings-emnlp.87/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
8. [Don”t Take This Out of Context!: On the Need for Contextual Models and Evaluations for Stylistic Rewriting](https://aclanthology.org/2023.emnlp-main.701/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
9. [Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation](https://aclanthology.org/2023.emnlp-main.245/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
10. [Element-aware Summarization with Large Language Models: Expert-aligned Evaluation and Chain-of-Thought Method](https://aclanthology.org/2023.acl-long.482/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
11. [Emotion-based Morality in Tagalog and English Scenarios (EMoTES-3K): A Parallel Corpus for Explaining (Im)morality of Actions](https://aclanthology.org/2023.nlp4dh-1.1/) *— 2023 · Proceedings of the Joint 3rd International Conference on Natural Language Processing for Digital Humanities and 8th International Workshop on Computational Linguistics for Uralic Languages*
12. [Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering](https://aclanthology.org/2023.emnlp-industry.29/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track*
13. [Ensemble Method via Ranking Model for Conversational Modeling with Subjective Knowledge](https://aclanthology.org/2023.dstc-1.20/) *— 2023 · Proceedings of the Eleventh Dialog System Technology Challenge*
14. [Evaluating Evaluation Metrics: A Framework for Analyzing NLG Evaluation Metrics using Measurement Theory](https://aclanthology.org/2023.emnlp-main.676/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
15. [Evaluating Factual Consistency of Texts with Semantic Role Labeling](https://aclanthology.org/2023.starsem-1.9/) *— 2023 · Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023)*
16. [Evaluating Generative Models for Graph-to-Text Generation](https://aclanthology.org/2023.ranlp-1.133/) *— 2023 · Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing*
17. [Evaluating Large Language Models for Document-grounded Response Generation in Information-Seeking Dialogues](https://aclanthology.org/2023.tllm-1.5/) *— 2023 · Proceedings of the 1st Workshop on Taming Large Language Models: Controllability in the era of Interactive Assistants*
18. [Evaluating Large Language Models' Understanding of Financial Terminology via Definition Modeling](https://aclanthology.org/2023.ijcnlp-srw.12/) *— 2023 · Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics: Student Research Workshop*
19. [Evaluating Open-Domain Dialogues in Latent Space with Next Sentence Prediction and Mutual Information](https://aclanthology.org/2023.acl-long.33/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
20. [Evaluating pragmatic abilities of image captioners on A3DS](https://aclanthology.org/2023.acl-short.110/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
21. [Evaluating the Generalization Property of Prefix-based Methods for Data-to-text Generation](https://aclanthology.org/2023.jeptalnrecital-short.8/) *— 2023 · Actes de CORIA-TALN 2023. Actes de la 30e Conférence sur le Traitement Automatique des Langues Naturelles (TALN), volume 2 : travaux de recherche originaux – articles courts*
22. [Evaluation of Question Generation Needs More References](https://aclanthology.org/2023.findings-acl.396/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
23. [Execution-Based Evaluation for Open-Domain Code Generation](https://aclanthology.org/2023.findings-emnlp.89/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
24. [Explicit Syntactic Guidance for Neural Text Generation](https://aclanthology.org/2023.acl-long.788/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
25. [Exploring Automatic Evaluation Methods based on a Decoder-based LLM for Text Generation](https://aclanthology.org/2023.ijcnlp-srw.4/) *— 2023 · Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics: Student Research Workshop*
26. [Exploring Context-Aware Evaluation Metrics for Machine Translation](https://aclanthology.org/2023.findings-emnlp.1021/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
27. [Exploring and Verbalizing Academic Ideas by Concept Co-occurrence](https://aclanthology.org/2023.acl-long.727/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
28. [Extrapolating Multilingual Understanding Models as Multilingual Generators](https://aclanthology.org/2023.findings-emnlp.1031/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
29. [FACTIFY3M: A benchmark for multimodal fact verification with explainability through 5W Question-Answering](https://aclanthology.org/2023.emnlp-main.945/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
30. [FFAEval: Evaluating Dialogue System via Free-For-All Ranking](https://aclanthology.org/2023.findings-emnlp.1049/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
31. [FactSpotter: Evaluating the Factual Faithfulness of Graph-to-Text Generation](https://aclanthology.org/2023.findings-emnlp.672/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
32. [Faithful Low-Resource Data-to-Text Generation through Cycle Training](https://aclanthology.org/2023.acl-long.160/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
33. [Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning](https://aclanthology.org/2023.acl-long.894/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
34. [Filtering Matters: Experiments in Filtering Training Sets for Machine Translation](https://aclanthology.org/2023.nodalida-1.58/) *— 2023 · Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)*
35. [FinAraT5: A text to text model for financial Arabic text understanding and generation](https://aclanthology.org/2023.ldk-1.25/) *— 2023 · Proceedings of the 4th Conference on Language, Data and Knowledge*
36. [Fine-Tuning and Evaluation of Question Generation for Slovak Language](https://aclanthology.org/2023.rocling-1.20/) *— 2023 · Proceedings of the 35th Conference on Computational Linguistics and Speech Processing (ROCLING 2023)*
37. [Fine-grained Medical Vision-Language Representation Learning for Radiology Report Generation](https://aclanthology.org/2023.emnlp-main.989/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
38. [Follow the Wisdom of the Crowd: Effective Text Generation via Minimum Bayes Risk Decoding](https://aclanthology.org/2023.findings-acl.262/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
39. [Formalizing content creation and evaluation methods for AI-generated social media content](https://aclanthology.org/2023.gem-1.3/) *— 2023 · Proceedings of the Third Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)*
40. [From Artificially Real to Real: Leveraging Pseudo Data from Large Language Models for Low-Resource Molecule Discovery](https://arxiv.org/abs/2309.05203) *— 2023 · arXiv:2309.05203*
41. [From Chaos to Clarity: Claim Normalization to Empower Fact-Checking](https://aclanthology.org/2023.findings-emnlp.439/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
42. [From Wrong To Right: A Recursive Approach Towards Vision-Language Explanation](https://aclanthology.org/2023.emnlp-main.75/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
43. [Frugal Prompting for Dialog Models](https://aclanthology.org/2023.findings-emnlp.290/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
44. [G-Eval: NLG Evaluation using Gpt-4 with Better Human Alignment](https://aclanthology.org/2023.emnlp-main.153/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
45. [GROOViST: A Metric for Grounding Objects in Visual Storytelling](https://aclanthology.org/2023.emnlp-main.202/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
46. [GUMSum: Multi-Genre Data and Evaluation for English Abstractive Summarization](https://aclanthology.org/2023.findings-acl.593/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
47. [Gender Biases in Automatic Evaluation Metrics for Image Captioning](https://aclanthology.org/2023.emnlp-main.520/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
48. [Generating Continuations in Multilingual Idiomatic Contexts](https://aclanthology.org/2023.mrl-1.22/) *— 2023 · Proceedings of the 3rd Workshop on Multi-lingual Representation Learning (MRL)*
49. [Generating Deep Questions with Commonsense Reasoning Ability from the Text by Disentangled Adversarial Inference](https://aclanthology.org/2023.findings-acl.30/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
50. [Generating Faithful Text From a Knowledge Graph with Noisy Reference Text](https://aclanthology.org/2023.inlg-main.8/) *— 2023 · Proceedings of the 16th International Natural Language Generation Conference*
51. [Guided Beam Search to Improve Generalization in Low-Resource Data-to-Text Generation](https://aclanthology.org/2023.inlg-main.1/) *— 2023 · Proceedings of the 16th International Natural Language Generation Conference*
52. [Guiding Dialogue Agents to Complex Semantic Targets by Dynamically Completing Knowledge Graph](https://aclanthology.org/2023.findings-acl.407/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
53. [HEAR: Hearing Enhanced Audio Response for Video-grounded Dialogue](https://aclanthology.org/2023.findings-emnlp.797/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
54. [Hallucination Mitigation in Natural Language Generation from Large-Scale Open-Domain Knowledge Graphs](https://aclanthology.org/2023.emnlp-main.770/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
55. [Harnessing Black-Box Control to Boost Commonsense in LM's Generation](https://aclanthology.org/2023.emnlp-main.329/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
56. [Hi Guys or Hi Folks? Benchmarking Gender-Neutral Machine Translation with the GeNTE Corpus](https://aclanthology.org/2023.emnlp-main.873/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
57. [Hierarchical Catalogue Generation for Literature Review: A Benchmark](https://aclanthology.org/2023.findings-emnlp.453/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
58. [How Ready are Pre-trained Abstractive Models and LLMs for Legal Case Judgement Summarization?](https://arxiv.org/abs/2306.01248) *— 2023 · arXiv:2306.01248*
59. [How do decoding algorithms distribute information in dialogue responses?](https://aclanthology.org/2023.findings-eacl.70/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
60. [INA: An Integrative Approach for Enhancing Negotiation Strategies with Reward-Based Dialogue Agent](https://aclanthology.org/2023.findings-emnlp.166/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
61. [INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic Feedback](https://aclanthology.org/2023.emnlp-main.365/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
62. [INVITE: a Testbed of Automatically Generated Invalid Questions to Evaluate Large Language Models for Hallucinations](https://aclanthology.org/2023.findings-emnlp.360/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
63. [ImaginE: An Imagination-Based Automatic Evaluation Metric for Natural Language Generation](https://aclanthology.org/2023.findings-eacl.6/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
64. [Improving Graph-to-Text Generation Using Cycle Training](https://aclanthology.org/2023.ldk-1.24/) *— 2023 · Proceedings of the 4th Conference on Language, Data and Knowledge*
65. [Improving Metrics for Speech Translation](https://aclanthology.org/2023.swisstext-1.3/) *— 2023 · Proceedings of the 8th edition of the Swiss Text Analytics Conference*
66. [Improving Polish to English Neural Machine Translation with Transfer Learning: Effects of Data Volume and Language Similarity](https://aclanthology.org/2023.multi3generation-1.6/) *— 2023 · Proceedings of the 1st International Workshop on Multilingual, Multimodal and Multitask Language Generation*
67. [Improving Question Generation with Multi-level Content Planning](https://aclanthology.org/2023.findings-emnlp.57/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
68. [In-sample Curriculum Learning by Sequence Completion for Natural Language Generation](https://aclanthology.org/2023.acl-long.666/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
69. [Incorporating Distributions of Discourse Structure for Long Document Abstractive Summarization](https://aclanthology.org/2023.acl-long.306/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
70. [Incorporating Task-Specific Concept Knowledge into Script Learning](https://aclanthology.org/2023.eacl-main.220/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
71. [InfoMetIC: An Informative Metric for Reference-free Image Caption Evaluation](https://aclanthology.org/2023.acl-long.178/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
72. [Injecting Comparison Skills in Task-Oriented Dialogue Systems for Database Search Results Disambiguation](https://aclanthology.org/2023.findings-acl.249/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
73. [Interpretable Long-Form Legal Question Answering with Retrieval-Augmented Large Language Models](https://arxiv.org/abs/2309.17050) *— 2023 · arXiv:2309.17050*
74. [Investigating Massive Multilingual Pre-Trained Machine Translation Models for Clinical Domain via Transfer Learning](https://aclanthology.org/2023.clinicalnlp-1.5/) *— 2023 · Proceedings of the 5th Clinical Natural Language Processing Workshop*
75. [Investigating the Effect of Relative Positional Embeddings on AMR-to-Text Generation with Structural Adapters](https://aclanthology.org/2023.eacl-main.51/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
76. [Is ChatGPT a Good Multi-Party Conversation Solver?](https://aclanthology.org/2023.findings-emnlp.326/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
77. [Is Shortest Always Best? The Role of Brevity in Logic-to-Text Generation](https://aclanthology.org/2023.starsem-1.17/) *— 2023 · Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023)*
78. [JaSPICE: Automatic Evaluation Metric Using Predicate-Argument Structures for Image Captioning Models](https://aclanthology.org/2023.conll-1.28/) *— 2023 · Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL)*
79. [Jack-Ryder at SemEval-2023 Task 5: Zero-Shot Clickbait Spoiling by Rephrasing Titles as Questions](https://aclanthology.org/2023.semeval-1.150/) *— 2023 · Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023)*
80. [Joint Representations of Text and Knowledge Graphs for Retrieval and Evaluation](https://aclanthology.org/2023.findings-ijcnlp.10/) *— 2023 · Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023 (Findings)*
81. [KCTS: Knowledge-Constrained Tree Search Decoding with Token-Level Hallucination Detection](https://aclanthology.org/2023.emnlp-main.867/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
82. [KG-BERTScore: Incorporating Knowledge Graph into BERTScore for Reference-Free Machine Translation Evaluation](https://arxiv.org/abs/2301.12699) *— 2023 · arXiv:2301.12699*
83. [KGVL-BART: Knowledge Graph Augmented Visual Language BART for Radiology Report Generation](https://aclanthology.org/2023.eacl-main.246/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
84. [KILM: Knowledge Injection into Encoder-Decoder Language Models](https://aclanthology.org/2023.acl-long.275/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
85. [KNOW How to Make Up Your Mind! Adversarially Detecting and Alleviating Inconsistencies in Natural Language Explanations](https://aclanthology.org/2023.acl-short.47/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
86. [Keeping an Eye on Context: Attention Allocation over Input Partitions in Referring Expression Generation](https://aclanthology.org/2023.mmnlg-1.3/) *— 2023 · Proceedings of the Workshop on Multimodal, Multilingual Natural Language Generation and Multilingual WebNLG Challenge (MM-NLG 2023)*
87. [LLMs – the Good, the Bad or the Indispensable?: A Use Case on Legal Statute Prediction and Legal Judgment Prediction on Indian Court Cases](https://aclanthology.org/2023.findings-emnlp.831/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
88. [LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding](https://arxiv.org/abs/2306.17107) *— 2023 · arXiv:2306.17107*
89. [Large Language Models are Diverse Role-Players for Summarization Evaluation](https://arxiv.org/abs/2303.15078) *— 2023 · arXiv:2303.15078*
90. [Large Language Models for Automated Open-domain Scientific Hypotheses Discovery](https://arxiv.org/abs/2309.02726) *— 2023 · arXiv:2309.02726*
91. [Learning Answer Generation using Supervision from Automatic Question Answering Evaluators](https://aclanthology.org/2023.acl-long.467/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
92. [Learning to Diversify Neural Text Generation via Degenerative Model](https://aclanthology.org/2023.findings-ijcnlp.6/) *— 2023 · Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023 (Findings)*
93. [Learning to Predict Concept Ordering for Common Sense Generation](https://aclanthology.org/2023.ijcnlp-short.2/) *— 2023 · Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 2: Short Papers)*
94. [Listener Model for the PhotoBook Referential Game with CLIPScores as Implicit Reference Chain](https://aclanthology.org/2023.acl-short.121/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
95. [Localize, Retrieve and Fuse: A Generalized Framework for Free-Form Question Answering over Tables](https://aclanthology.org/2023.findings-ijcnlp.1/) *— 2023 · Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023 (Findings)*
96. [Looking for a Needle in a Haystack: A Comprehensive Study of Hallucinations in Neural Machine Translation](https://aclanthology.org/2023.eacl-main.75/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
97. [Lost in Translation, Found in Spans: Identifying Claims in Multilingual Social Media](https://aclanthology.org/2023.emnlp-main.236/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
98. [MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types](https://aclanthology.org/2023.findings-acl.274/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
99. [MQAG: Multiple-choice Question Answering and Generation for Assessing Information Consistency in Summarization](https://aclanthology.org/2023.ijcnlp-main.4/) *— 2023 · Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
100. [MTGP: Multi-turn Target-oriented Dialogue Guided by Generative Global Path with Flexible Turns](https://aclanthology.org/2023.findings-acl.18/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*

Pages: [1](https://md.research.elamur.ai/free/en/papers/banerjee-2005-meteor-automatic-metric-mt-evaluation/cited-by/) · … · [9](https://md.research.elamur.ai/free/en/papers/banerjee-2005-meteor-automatic-metric-mt-evaluation/cited-by/page/9/) · **10** · [11](https://md.research.elamur.ai/free/en/papers/banerjee-2005-meteor-automatic-metric-mt-evaluation/cited-by/page/11/) · … · [21](https://md.research.elamur.ai/free/en/papers/banerjee-2005-meteor-automatic-metric-mt-evaluation/cited-by/page/21/)