---
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/9/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/banerjee-2005-meteor-automatic-metric-mt-evaluation/cited-by/page/9/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [METEOR: An Automatic Metric for MT Evaluation…](https://md.research.elamur.ai/free/en/papers/banerjee-2005-meteor-automatic-metric-mt-evaluation/) / cited by

# 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.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/) · … · [8](https://md.research.elamur.ai/free/en/papers/banerjee-2005-meteor-automatic-metric-mt-evaluation/cited-by/page/8/) · **9** · [10](https://md.research.elamur.ai/free/en/papers/banerjee-2005-meteor-automatic-metric-mt-evaluation/cited-by/page/10/) · … · [21](https://md.research.elamur.ai/free/en/papers/banerjee-2005-meteor-automatic-metric-mt-evaluation/cited-by/page/21/)

1. [The Revolution of Multimodal Large Language Models: A Survey](https://aclanthology.org/2024.findings-acl.807/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
2. [Think While You Write: Hypothesis Verification Promotes Faithful Knowledge-to-Text Generation](https://aclanthology.org/2024.findings-naacl.106/) *— 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
3. [TimeBench: A Comprehensive Evaluation of Temporal Reasoning Abilities in Large Language Models](https://aclanthology.org/2024.acl-long.66/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
4. [ToXCL: A Unified Framework for Toxic Speech Detection and Explanation](https://aclanthology.org/2024.naacl-long.359/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
5. [Toucan: Many-to-Many Translation for 150 African Language Pairs](https://aclanthology.org/2024.findings-acl.781/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
6. [Towards Pareto-Efficient RLHF: Paying Attention to a Few High-Reward Samples with Reward Dropout](https://aclanthology.org/2024.findings-emnlp.489/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
7. [Towards Understanding the Robustness of LLM-based Evaluations under Perturbations](https://aclanthology.org/2024.icon-1.22/) *— 2024 · Proceedings of the 21st International Conference on Natural Language Processing (ICON)*
8. [Tram: A Token-level Retrieval-augmented Mechanism for Source Code Summarization](https://aclanthology.org/2024.findings-naacl.186/) *— 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
9. [Translation Deserves Better: Analyzing Translation Artifacts in Cross-lingual Visual Question Answering](https://aclanthology.org/2024.findings-acl.308/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
10. [UF-HOBI at “Discharge Me!”: A Hybrid Solution for Discharge Summary Generation Through Prompt-based Tuning of GatorTronGPT Models](https://aclanthology.org/2024.bionlp-1.60/) *— 2024 · Proceedings of the 23rd Workshop on Biomedical Natural Language Processing*
11. [UHH at AVeriTeC: RAG for Fact-Checking with Real-World Claims](https://aclanthology.org/2024.fever-1.5/) *— 2024 · Proceedings of the Seventh Fact Extraction and VERification Workshop (FEVER)*
12. [UNICORN: A Unified Causal Video-Oriented Language-Modeling Framework for Temporal Video-Language Tasks](https://aclanthology.org/2024.emnlp-main.722/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
13. [Uncertainty Estimation in Large Language Models to Support Biodiversity Conservation](https://aclanthology.org/2024.naacl-industry.31/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 6: Industry Track)*
14. [Uncertainty in Language Models: Assessment through Rank-Calibration](https://aclanthology.org/2024.emnlp-main.18/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
15. [Unifying Structured Data as Graph for Data-to-Text Pre-Training](https://aclanthology.org/2024.tacl-1.12/) *— 2024 · Transactions of the Association for Computational Linguistics*
16. [Unsupervised Parsing by Searching for Frequent Word Sequences among Sentences with Equivalent Predicate-Argument Structures](https://aclanthology.org/2024.findings-acl.225/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
17. [Unveiling Implicit Table Knowledge with Question-Then-Pinpoint Reasoner for Insightful Table Summarization](https://aclanthology.org/2024.findings-emnlp.719/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
18. [Unveiling the Art of Heading Design: A Harmonious Blend of Summarization, Neology, and Algorithm](https://aclanthology.org/2024.findings-acl.368/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
19. [UoG Siephers at “Discharge Me!”: Exploring Ways to Generate Synthetic Patient Notes From Multi-Part Electronic Health Records](https://aclanthology.org/2024.bionlp-1.62/) *— 2024 · Proceedings of the 23rd Workshop on Biomedical Natural Language Processing*
20. [VISREAS: Complex Visual Reasoning with Unanswerable Questions](https://aclanthology.org/2024.findings-acl.402/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
21. [ViGLUE: A Vietnamese General Language Understanding Benchmark and Analysis of Vietnamese Language Models](https://aclanthology.org/2024.findings-naacl.261/) *— 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
22. [ViMedAQA: A Vietnamese Medical Abstractive Question-Answering Dataset and Findings of Large Language Model](https://aclanthology.org/2024.acl-srw.31/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)*
23. [Video Discourse Parsing and Its Application to Multimodal Summarization: A Dataset and Baseline Approaches](https://aclanthology.org/2024.findings-emnlp.581/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
24. [Virtual Compiler Is All You Need For Assembly Code Search](https://aclanthology.org/2024.acl-long.167/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
25. [WavChat: A Survey of Spoken Dialogue Models](https://arxiv.org/abs/2411.13577) *— 2024 · arXiv:2411.13577*
26. [What”s under the hood: Investigating Automatic Metrics on Meeting Summarization](https://aclanthology.org/2024.findings-emnlp.393/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
27. [WisPerMed at “Discharge Me!”: Advancing Text Generation in Healthcare with Large Language Models, Dynamic Expert Selection, and Priming Techniques on MIMIC-IV](https://aclanthology.org/2024.bionlp-1.9/) *— 2024 · Proceedings of the 23rd Workshop on Biomedical Natural Language Processing*
28. [X-ACE: Explainable and Multi-factor Audio Captioning Evaluation](https://aclanthology.org/2024.findings-acl.729/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
29. [X-Eval: Generalizable Multi-aspect Text Evaluation via Augmented Instruction Tuning with Auxiliary Evaluation Aspects](https://aclanthology.org/2024.naacl-long.473/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
30. [XL-HeadTags: Leveraging Multimodal Retrieval Augmentation for the Multilingual Generation of News Headlines and Tags](https://aclanthology.org/2024.findings-acl.771/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
31. [Yale at “Discharge Me!”: Evaluating Constrained Generation of Discharge Summaries with Unstructured and Structured Information](https://aclanthology.org/2024.bionlp-1.64/) *— 2024 · Proceedings of the 23rd Workshop on Biomedical Natural Language Processing*
32. [“Image, Tell me your story!” Predicting the original meta-context of visual misinformation](https://aclanthology.org/2024.emnlp-main.448/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
33. [aiXplain SDK: A High-Level and Standardized Toolkit for AI Assets](https://aclanthology.org/2024.inlg-main.37/) *— 2024 · Proceedings of the 17th International Natural Language Generation Conference*
34. [e-Health CSIRO at “Discharge Me!” 2024: Generating Discharge Summary Sections with Fine-tuned Language Models](https://aclanthology.org/2024.bionlp-1.59/) *— 2024 · Proceedings of the 23rd Workshop on Biomedical Natural Language Processing*
35. [场景图增强的视觉语言常识推理生成(Scene Graph Enhanced Visual Language Commonsense Reasoning Generation)](https://aclanthology.org/2024.ccl-1.7/) *— 2024 · Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 1: Main Conference)*
36. [文档级神经机器翻译综述](https://jos.org.cn/jos/article/abstract/7217) *— 2024 · 软件学报 (Journal of Software)*
37. [A Call for Standardization and Validation of Text Style Transfer Evaluation](https://aclanthology.org/2023.findings-acl.687/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
38. [A Computational Evaluation Framework for Singable Lyric Translation](https://arxiv.org/abs/2308.13715) *— 2023 · arXiv:2308.13715*
39. [A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity](https://arxiv.org/abs/2302.04023) *— 2023 · arXiv:2302.04023*
40. [A Needle in a Haystack: An Analysis of High-Agreement Workers on MTurk for Summarization](https://aclanthology.org/2023.acl-long.835/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
41. [A Parallel Corpus for Vietnamese Central-Northern Dialect Text Transfer](https://aclanthology.org/2023.findings-emnlp.925/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
42. [A Self-training Framework for Automated Medical Report Generation](https://aclanthology.org/2023.emnlp-main.1024/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
43. [A Survey of Challenges and Methods in the Computational Modeling of Multi-Party Dialog](https://aclanthology.org/2023.nlp4convai-1.12/) *— 2023 · Proceedings of the 5th Workshop on NLP for Conversational AI (NLP4ConvAI 2023)*
44. [A Survey of Large Language Models in Medicine: Progress, Application, and Challenge](https://arxiv.org/abs/2311.05112) *— 2023 · arXiv:2311.05112*
45. [A Survey on Asking Clarification Questions Datasets in Conversational Systems](https://aclanthology.org/2023.acl-long.152/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
46. [A Survey on Zero Pronoun Translation](https://aclanthology.org/2023.acl-long.187/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
47. [A Systematic Evaluation of Large Language Models for Natural Language Generation Tasks](https://aclanthology.org/2023.ccl-2.4/) *— 2023 · Proceedings of the 22nd Chinese National Conference on Computational Linguistics (Volume 2: Frontier Forum)*
48. [A Systematic Study of Performance Disparities in Multilingual Task-Oriented Dialogue Systems](https://aclanthology.org/2023.emnlp-main.422/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
49. [ALCAP: Alignment-Augmented Music Captioner](https://aclanthology.org/2023.emnlp-main.1028/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
50. [AMR4NLI: Interpretable and robust NLI measures from semantic graphs](https://aclanthology.org/2023.iwcs-1.29/) *— 2023 · Proceedings of the 15th International Conference on Computational Semantics*
51. [ASPIRO: Any-shot Structured Parsing-error-Induced ReprOmpting for Consistent Data-to-Text Generation](https://aclanthology.org/2023.findings-emnlp.229/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
52. [AVeriTeC: A Dataset for Real-world Claim Verification with Evidence from the Web](https://arxiv.org/abs/2305.13117) *— 2023 · arXiv:2305.13117*
53. [Accuracy is not enough: Evaluating Personalization in Summarizers](https://aclanthology.org/2023.findings-emnlp.169/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
54. [Adaptive and Personalized Exercise Generation for Online Language Learning](https://aclanthology.org/2023.acl-long.567/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
55. [AlignScore: Evaluating Factual Consistency with A Unified Alignment Function](https://aclanthology.org/2023.acl-long.634/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
56. [An Empirical Bayes Framework for Open-Domain Dialogue Generation](https://aclanthology.org/2023.gem-1.17/) *— 2023 · Proceedings of the Third Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)*
57. [An Open Source Data Contamination Report for Large Language Models](https://arxiv.org/abs/2310.17589) *— 2023 · arXiv:2310.17589*
58. [Analysing Mistranslation of Emotions in Multilingual Tweets by Online MT Tools](https://aclanthology.org/2023.eamt-1.27/) *— 2023 · Proceedings of the 24th Annual Conference of the European Association for Machine Translation*
59. [Analyzing and Mitigating Object Hallucination in Large Vision-Language Models](https://arxiv.org/abs/2310.00754) *— 2023 · arXiv:2310.00754*
60. [Argumentative Segmentation Enhancement for Legal Summarization](https://arxiv.org/abs/2307.05081) *— 2023 · arXiv:2307.05081*
61. [Assessing Distractors in Multiple-Choice Tests](https://aclanthology.org/2023.eval4nlp-1.2/) *— 2023 · Proceedings of the 4th Workshop on Evaluation and Comparison of NLP Systems*
62. [Attractive Storyteller: Stylized Visual Storytelling with Unpaired Text](https://aclanthology.org/2023.acl-long.619/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
63. [Augmentation de jeux de données RI pour la recherche conversationnelle à initiative mixte](https://aclanthology.org/2023.jeptalnrecital-coria.3/) *— 2023 · Actes de CORIA-TALN 2023. Actes de la 18e Conférence en Recherche d'Information et Applications (CORIA)*
64. [Augmented Language Models: a Survey](https://arxiv.org/abs/2302.07842) *— 2023 · arXiv:2302.07842*
65. [Automated Metrics for Medical Multi-Document Summarization Disagree with Human Evaluations](https://aclanthology.org/2023.acl-long.549/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
66. [Automated distractor and feedback generation for math multiple-choice questions via in-context learning](https://arxiv.org/abs/2308.03234) *— 2023*
67. [Automatic Evaluate Dialogue Appropriateness by Using Dialogue Act](https://aclanthology.org/2023.findings-emnlp.492/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
68. [Automatic Evaluation of Generative Models with Instruction Tuning](https://aclanthology.org/2023.gem-1.4/) *— 2023 · Proceedings of the Third Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)*
69. [Benchmarking Foundation Models with Language-Model-as-an-Examiner](https://arxiv.org/abs/2306.04181) *— 2023 · arXiv:2306.04181*
70. [Benchmarking Procedural Language Understanding for Low-Resource Languages: A Case Study on Turkish](https://aclanthology.org/2023.ijcnlp-main.52/) *— 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)*
71. [Best-k Search Algorithm for Neural Text Generation](https://aclanthology.org/2023.acl-long.692/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
72. [Billy-Batson at SemEval-2023 Task 5: An Information Condensation based System for Clickbait Spoiling](https://aclanthology.org/2023.semeval-1.259/) *— 2023 · Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023)*
73. [Binary Code Summarization: Benchmarking ChatGPT/GPT-4 and Other Large Language Models](https://arxiv.org/abs/2312.09601) *— 2023 · arXiv:2312.09601*
74. [BioT5: Enriching Cross-modal Integration in Biology with Chemical Knowledge and Natural Language Associations](https://aclanthology.org/2023.emnlp-main.70/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
75. [Boosting Distress Support Dialogue Responses with Motivational Interviewing Strategy](https://aclanthology.org/2023.findings-acl.334/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
76. [Bridging the Gap between Pre-Training and Fine-Tuning for Commonsense Generation](https://aclanthology.org/2023.findings-eacl.28/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
77. [COGEN: Abductive Commonsense Language Generation](https://aclanthology.org/2023.acl-short.26/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
78. [CP-BCS: Binary Code Summarization Guided by Control Flow Graph and Pseudo Code](https://aclanthology.org/2023.emnlp-main.911/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
79. [CTC Alignments Improve Autoregressive Translation](https://aclanthology.org/2023.eacl-main.119/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
80. [CarExpert: Leveraging Large Language Models for In-Car Conversational Question Answering](https://aclanthology.org/2023.emnlp-industry.56/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track*
81. [ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate](https://arxiv.org/abs/2308.07201) *— 2023 · arXiv:2308.07201*
82. [Cheating to Identify Hard Problems for Neural Machine Translation](https://aclanthology.org/2023.findings-eacl.120/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
83. [Choosing What to Mask: More Informed Masking for Multimodal Machine Translation](https://aclanthology.org/2023.acl-srw.35/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)*
84. [Clinical BERTScore: An Improved Measure of Automatic Speech Recognition Performance in Clinical Settings](https://aclanthology.org/2023.clinicalnlp-1.1/) *— 2023 · Proceedings of the 5th Clinical Natural Language Processing Workshop*
85. [CoMix: Guide Transformers to Code-Mix using POS structure and Phonetics](https://aclanthology.org/2023.findings-acl.506/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
86. [CodeBERTScore: Evaluating Code Generation with Pretrained Models of Code](https://aclanthology.org/2023.emnlp-main.859/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
87. [Compressing Context to Enhance Inference Efficiency of Large Language Models](https://aclanthology.org/2023.emnlp-main.391/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
88. [Contextual Knowledge Learning for Dialogue Generation](https://aclanthology.org/2023.acl-long.433/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
89. [Contrastive Learning for Inference in Dialogue](https://aclanthology.org/2023.emnlp-main.631/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
90. [Controllability for English-Ukrainian Machine Translation Based on Specialized Corpora](https://aclanthology.org/2023.multi3generation-1.1/) *— 2023 · Proceedings of the 1st International Workshop on Multilingual, Multimodal and Multitask Language Generation*
91. [Controllable Chest X-Ray Report Generation from Longitudinal Representations](https://aclanthology.org/2023.findings-emnlp.325/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
92. [Countering Misinformation via Emotional Response Generation](https://aclanthology.org/2023.emnlp-main.703/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
93. [Counterspeeches up my sleeve! Intent Distribution Learning and Persistent Fusion for Intent-Conditioned Counterspeech Generation](https://aclanthology.org/2023.acl-long.318/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
94. [Critic-Driven Decoding for Mitigating Hallucinations in Data-to-text Generation](https://aclanthology.org/2023.emnlp-main.172/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
95. [CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation](https://arxiv.org/abs/2311.18702) *— 2023 · arXiv:2311.18702*
96. [Cross-Modal Attribute Insertions for Assessing the Robustness of Vision-and-Language Learning](https://aclanthology.org/2023.acl-long.890/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
97. [DATScore: Evaluating Translation with Data Augmented Translations](https://aclanthology.org/2023.findings-eacl.69/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
98. [DEnsity: Open-domain Dialogue Evaluation Metric using Density Estimation](https://aclanthology.org/2023.findings-acl.896/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
99. [DecompEval: Evaluating Generated Texts as Unsupervised Decomposed Question Answering](https://aclanthology.org/2023.acl-long.539/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
100. [DiQAD: A Benchmark Dataset for Open-domain Dialogue Quality Assessment](https://aclanthology.org/2023.findings-emnlp.1010/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*

Pages: [1](https://md.research.elamur.ai/free/en/papers/banerjee-2005-meteor-automatic-metric-mt-evaluation/cited-by/) · … · [8](https://md.research.elamur.ai/free/en/papers/banerjee-2005-meteor-automatic-metric-mt-evaluation/cited-by/page/8/) · **9** · [10](https://md.research.elamur.ai/free/en/papers/banerjee-2005-meteor-automatic-metric-mt-evaluation/cited-by/page/10/) · … · [21](https://md.research.elamur.ai/free/en/papers/banerjee-2005-meteor-automatic-metric-mt-evaluation/cited-by/page/21/)