---
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/12/"
---
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# Who cites «METEOR: An Automatic Metric for MT Evaluation with Improved Correlation with Human Judgments» · page 12

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/) · … · [11](https://md.research.elamur.ai/free/en/papers/banerjee-2005-meteor-automatic-metric-mt-evaluation/cited-by/page/11/) · **12** · [13](https://md.research.elamur.ai/free/en/papers/banerjee-2005-meteor-automatic-metric-mt-evaluation/cited-by/page/13/) · … · [21](https://md.research.elamur.ai/free/en/papers/banerjee-2005-meteor-automatic-metric-mt-evaluation/cited-by/page/21/)

1. [“Knowledge is Power”: Constructing Knowledge Graph of Abdominal Organs and Using Them for Automatic Radiology Report Generation](https://aclanthology.org/2023.acl-industry.2/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track)*
2. [“What do others think?”: Task-Oriented Conversational Modeling with Subjective Knowledge](https://aclanthology.org/2023.sigdial-1.28/) *— 2023 · Proceedings of the 24th Annual Meeting of the Special Interest Group on Discourse and Dialogue*
3. [eBLEU: Unexpectedly Good Machine Translation Evaluation Using Simple Word Embeddings](https://aclanthology.org/2023.wmt-1.61/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
4. [f-Divergence Minimization for Sequence-Level Knowledge Distillation](https://aclanthology.org/2023.acl-long.605/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
5. [Étude de la fidélité des entités dans les résumés par abstraction](https://aclanthology.org/2023.jeptalnrecital-rjc.2/) *— 2023 · Actes de CORIA-TALN 2023. Actes des 16e Rencontres Jeunes Chercheurs en RI (RJCRI) et 25e Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues (RÉCITAL)*
6. [$ınfty$-former: Infinite Memory Transformer](https://aclanthology.org/2022.acl-long.375/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
7. [A Dog Is Passing Over The Jet? A Text-Generation Dataset for Korean Commonsense Reasoning and Evaluation](https://aclanthology.org/2022.findings-naacl.172/) *— 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
8. [A Feasibility Study of Answer-Agnostic Question Generation for Education](https://aclanthology.org/2022.findings-acl.151/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
9. [A Linguistically Motivated Test Suite to Semi-Automatically Evaluate German–English Machine Translation Output](https://aclanthology.org/2022.lrec-1.99/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
10. [A Multifaceted Framework to Evaluate Evasion, Content Preservation, and Misattribution in Authorship Obfuscation Techniques](https://aclanthology.org/2022.emnlp-main.153/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
11. [A Question-Answer Driven Approach to Reveal Affirmative Interpretations from Verbal Negations](https://aclanthology.org/2022.findings-naacl.37/) *— 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
12. [A large-scale computational study of content preservation measures for text style transfer and paraphrase generation](https://aclanthology.org/2022.acl-srw.23/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop*
13. [A new approach to calculating BERTScore for automatic assessment of translation quality](https://arxiv.org/abs/2203.05598) *— 2022 · arXiv:2203.05598*
14. [A-OKVQA: A Benchmark for Visual Question Answering using World Knowledge](https://arxiv.org/abs/2206.01718) *— 2022 · arXiv:2206.01718*
15. [ASDOT: Any-Shot Data-to-Text Generation with Pretrained Language Models](https://aclanthology.org/2022.findings-emnlp.136/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
16. [Adaptive Label Smoothing with Self-Knowledge in Natural Language Generation](https://aclanthology.org/2022.emnlp-main.664/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
17. [Adversarial Authorship Attribution for Deobfuscation](https://aclanthology.org/2022.acl-long.509/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
18. [An Evaluation Framework for Legal Document Summarization](https://aclanthology.org/2022.lrec-1.508/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
19. [An Overview on Machine Translation Evaluation](https://arxiv.org/abs/2202.11027) *— 2022 · arXiv:2202.11027*
20. [Approaching English-Polish Machine Translation Quality Assessment with Neural-based Methods](https://arxiv.org/abs/2209.11016) *— 2022 · arXiv:2209.11016 · Proceedings of the PolEval 2021 Workshop, 2021, 73-78*
21. [Arabic Image Captioning using Pre-training of Deep Bidirectional Transformers](https://aclanthology.org/2022.inlg-main.4/) *— 2022 · Proceedings of the 15th International Conference on Natural Language Generation*
22. [Assessing Inter-metric Correlation for Multi-document Summarization Evaluation](https://aclanthology.org/2022.gem-1.40/) *— 2022 · Proceedings of the Second Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)*
23. [Assist Non-native Viewers: Multimodal Cross-Lingual Summarization for How2 Videos](https://aclanthology.org/2022.emnlp-main.468/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
24. [Automating Human Evaluation of Dialogue Systems](https://aclanthology.org/2022.naacl-srw.29/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop*
25. [BAN-Cap: A Multi-Purpose English-Bangla Image Descriptions Dataset](https://aclanthology.org/2022.lrec-1.740/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
26. [BERTHA: Video Captioning Evaluation Via Transfer-Learned Human Assessment](https://aclanthology.org/2022.lrec-1.168/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
27. [BERTScore is Unfair: On Social Bias in Language Model-Based Metrics for Text Generation](https://aclanthology.org/2022.emnlp-main.245/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
28. [BiBL: AMR Parsing and Generation with Bidirectional Bayesian Learning](https://aclanthology.org/2022.coling-1.485/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
29. [Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand](https://aclanthology.org/2022.naacl-main.259/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
30. [BlonDe: An Automatic Evaluation Metric for Document-level Machine Translation](https://aclanthology.org/2022.naacl-main.111/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
31. [Building Joint Relationship Attention Network for Image-Text Generation](https://aclanthology.org/2022.coling-1.489/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
32. [CICERO: A Dataset for Contextualized Commonsense Inference in Dialogues](https://aclanthology.org/2022.acl-long.344/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
33. [CLIP4IDC: CLIP for Image Difference Captioning](https://aclanthology.org/2022.aacl-short.5/) *— 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)*
34. [CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation](https://aclanthology.org/2022.acl-long.164/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
35. [Can Pretrained Language Models Generate Persuasive, Faithful, and Informative Ad Text for Product Descriptions?](https://aclanthology.org/2022.ecnlp-1.27/) *— 2022 · Proceedings of the Fifth Workshop on e-Commerce and NLP (ECNLP 5)*
36. [ChatMatch: Evaluating Chatbots by Autonomous Chat Tournaments](https://aclanthology.org/2022.acl-long.522/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
37. [Clickbait Spoiling via Question Answering and Passage Retrieval](https://aclanthology.org/2022.acl-long.484/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
38. [CoHS-CQG: Context and History Selection for Conversational Question Generation](https://aclanthology.org/2022.coling-1.48/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
39. [CoSe-Co: Text Conditioned Generative CommonSense Contextualizer](https://aclanthology.org/2022.naacl-main.83/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
40. [CodeExp: Explanatory Code Document Generation](https://aclanthology.org/2022.findings-emnlp.174/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
41. [CoditT5: Pretraining for Source Code and Natural Language Editing](https://arxiv.org/abs/2208.05446) *— 2022 · arXiv:2208.05446*
42. [ComFact: A Benchmark for Linking Contextual Commonsense Knowledge](https://aclanthology.org/2022.findings-emnlp.120/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
43. [Comparing and combining tagging with different decoding algorithms for back-translation in NMT: learnings from a low resource scenario](https://aclanthology.org/2022.eamt-1.6/) *— 2022 · Proceedings of the 23rd Annual Conference of the European Association for Machine Translation*
44. [Controllable Factuality in Document-Grounded Dialog Systems Using a Noisy Channel Model](https://aclanthology.org/2022.findings-emnlp.98/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
45. [Conversational QA Dataset Generation with Answer Revision](https://aclanthology.org/2022.coling-1.140/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
46. [Cost-Effective Language Driven Image Editing with LX-DRIM](https://aclanthology.org/2022.mmmpie-1.5/) *— 2022 · Proceedings of the First Workshop on Performance and Interpretability Evaluations of Multimodal, Multipurpose, Massive-Scale Models*
47. [Cross-modal Contrastive Attention Model for Medical Report Generation](https://aclanthology.org/2022.coling-1.210/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
48. [Cyberbullying Classifiers are Sensitive to Model-Agnostic Perturbations](https://aclanthology.org/2022.lrec-1.319/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
49. [D4: a Chinese Dialogue Dataset for Depression-Diagnosis-Oriented Chat](https://aclanthology.org/2022.emnlp-main.156/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
50. [DEER: Descriptive Knowledge Graph for Explaining Entity Relationships](https://aclanthology.org/2022.emnlp-main.448/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
51. [DEMETR: Diagnosing Evaluation Metrics for Translation](https://aclanthology.org/2022.emnlp-main.649/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
52. [DISK: Domain-constrained Instance Sketch for Math Word Problem Generation](https://aclanthology.org/2022.coling-1.551/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
53. [Data-Efficient Concept Extraction from Pre-trained Language Models for Commonsense Explanation Generation](https://aclanthology.org/2022.findings-emnlp.433/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
54. [Deep Learning for Text Style Transfer: A Survey](https://aclanthology.org/2022.cl-1.6/) *— 2022 · Computational Linguistics*
55. [DialDoc 2022 Shared Task: Open-Book Document-grounded Dialogue Modeling](https://aclanthology.org/2022.dialdoc-1.18/) *— 2022 · Proceedings of the Second DialDoc Workshop on Document-grounded Dialogue and Conversational Question Answering*
56. [DialSummEval: Revisiting Summarization Evaluation for Dialogues](https://aclanthology.org/2022.naacl-main.418/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
57. [Digging Errors in NMT: Evaluating and Understanding Model Errors from Partial Hypothesis Space](https://aclanthology.org/2022.emnlp-main.827/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
58. [Discourse Cohesion Evaluation for Document-Level Neural Machine Translation](https://arxiv.org/abs/2208.09118) *— 2022 · arXiv:2208.09118*
59. [Doubly-Trained Adversarial Data Augmentation for Neural Machine Translation](https://aclanthology.org/2022.amta-research.12/) *— 2022 · Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)*
60. [ELF22: A Context-based Counter Trolling Dataset to Combat Internet Trolls](https://aclanthology.org/2022.lrec-1.378/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
61. [ELMER: A Non-Autoregressive Pre-trained Language Model for Efficient and Effective Text Generation](https://aclanthology.org/2022.emnlp-main.68/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
62. [ElitePLM: An Empirical Study on General Language Ability Evaluation of Pretrained Language Models](https://aclanthology.org/2022.naacl-main.258/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
63. [Empathetic Persuasion: Reinforcing Empathy and Persuasiveness in Dialogue Systems](https://aclanthology.org/2022.findings-naacl.63/) *— 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
64. [End-to-end Dense Video Captioning as Sequence Generation](https://aclanthology.org/2022.coling-1.498/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
65. [Error Analysis of ToTTo Table-to-Text Neural NLG Models](https://aclanthology.org/2022.gem-1.43/) *— 2022 · Proceedings of the Second Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)*
66. [Evaluating Agent Interactions Through Episodic Knowledge Graphs](https://aclanthology.org/2022.ccgpk-1.3/) *— 2022 · Proceedings of the 1st Workshop on Customized Chat Grounding Persona and Knowledge*
67. [Evaluating Legal Accuracy of Neural Generators on the Generation of Criminal Court Dockets Description](https://aclanthology.org/2022.inlg-main.7/) *— 2022 · Proceedings of the 15th International Conference on Natural Language Generation*
68. [Evaluating MT Systems: A Theoretical Framework](https://arxiv.org/abs/2202.05806) *— 2022 · arXiv:2202.05806*
69. [Evaluating Machine Translation in Cross-lingual E-Commerce Search](https://aclanthology.org/2022.amta-research.25/) *— 2022 · Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)*
70. [Evaluating the Knowledge Dependency of Questions](https://aclanthology.org/2022.emnlp-main.718/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
71. [Evaluation of Response Generation Models: Shouldn”t It Be Shareable and Replicable?](https://aclanthology.org/2022.gem-1.12/) *— 2022 · Proceedings of the Second Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)*
72. [ExPUNations: Augmenting Puns with Keywords and Explanations](https://aclanthology.org/2022.emnlp-main.304/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
73. [Examining Large Pre-Trained Language Models for Machine Translation: What You Don”t Know about It](https://aclanthology.org/2022.wmt-1.84/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
74. [Explaining Dialogue Evaluation Metrics using Adversarial Behavioral Analysis](https://aclanthology.org/2022.naacl-main.430/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
75. [Explore More Guidance: A Task-aware Instruction Network for Sign Language Translation Enhanced with Data Augmentation](https://aclanthology.org/2022.findings-naacl.205/) *— 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
76. [Exploring Robustness of Machine Translation Metrics: A Study of Twenty-Two Automatic Metrics in the WMT22 Metric Task](https://aclanthology.org/2022.wmt-1.46/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
77. [FALTE: A Toolkit for Fine-grained Annotation for Long Text Evaluation](https://aclanthology.org/2022.emnlp-demos.35/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations*
78. [FaD-VLP: Fashion Vision-and-Language Pre-training towards Unified Retrieval and Captioning](https://aclanthology.org/2022.emnlp-main.716/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
79. [Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations in a Label-Abundant Setup](https://aclanthology.org/2022.findings-emnlp.255/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
80. [Findings of the WMT 2022 Biomedical Translation Shared Task: Monolingual Clinical Case Reports](https://aclanthology.org/2022.wmt-1.69/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
81. [Fine-Grained Controllable Text Generation Using Non-Residual Prompting](https://aclanthology.org/2022.acl-long.471/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
82. [Fine-grained Image Captioning with CLIP Reward](https://aclanthology.org/2022.findings-naacl.39/) *— 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
83. [FlowEval: A Consensus-Based Dialogue Evaluation Framework Using Segment Act Flows](https://aclanthology.org/2022.emnlp-main.715/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
84. [FrugalScore: Learning Cheaper, Lighter and Faster Evaluation Metrics for Automatic Text Generation](https://aclanthology.org/2022.acl-long.93/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
85. [Fully-Semantic Parsing and Generation: the BabelNet Meaning Representation](https://aclanthology.org/2022.acl-long.121/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
86. [GAP: A Graph-aware Language Model Framework for Knowledge Graph-to-Text Generation](https://aclanthology.org/2022.coling-1.506/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
87. [GENIE: Toward Reproducible and Standardized Human Evaluation for Text Generation](https://aclanthology.org/2022.emnlp-main.787/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
88. [Generating Complement Data for Aspect Term Extraction with GPT-2](https://aclanthology.org/2022.deeplo-1.21/) *— 2022 · Proceedings of the Third Workshop on Deep Learning for Low-Resource Natural Language Processing*
89. [Generating Textual Explanations for Machine Learning Models Performance: A Table-to-Text Task](https://aclanthology.org/2022.lrec-1.379/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
90. [Generative Pretraining for Paraphrase Evaluation](https://aclanthology.org/2022.acl-long.280/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
91. [GraDA: Graph Generative Data Augmentation for Commonsense Reasoning](https://aclanthology.org/2022.coling-1.397/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
92. [Grafting Pre-trained Models for Multimodal Headline Generation](https://aclanthology.org/2022.emnlp-industry.25/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: Industry Track*
93. [Graph Pre-training for AMR Parsing and Generation](https://aclanthology.org/2022.acl-long.415/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
94. [HaRiM$^+$: Evaluating Summary Quality with Hallucination Risk](https://aclanthology.org/2022.aacl-main.66/) *— 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
95. [Hard Gate Knowledge Distillation - Leverage Calibration for Robust and Reliable Language Model](https://aclanthology.org/2022.emnlp-main.665/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
96. [HilMeMe: A Human-in-the-Loop Machine Translation Evaluation Metric Looking into Multi-Word Expressions](https://arxiv.org/abs/2211.05201) *— 2022 · arXiv:2211.05201*
97. [How Far are We from Robust Long Abstractive Summarization?](https://aclanthology.org/2022.emnlp-main.172/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
98. [Human Judgement as a Compass to Navigate Automatic Metrics for Formality Transfer](https://aclanthology.org/2022.humeval-1.9/) *— 2022 · Proceedings of the 2nd Workshop on Human Evaluation of NLP Systems (HumEval)*
99. [IAEmp: Intent-aware Empathetic Response Generation](https://aclanthology.org/2022.icon-main.7/) *— 2022 · Proceedings of the 19th International Conference on Natural Language Processing (ICON)*
100. [IM2: an Interpretable and Multi-category Integrated Metric Framework for Automatic Dialogue Evaluation](https://aclanthology.org/2022.emnlp-main.762/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*

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