---
title: "Who cites A Structured Review of the Validity of BLEU —…"
description: "The papers of the Elamur Research library that cite «A Structured Review of the Validity of BLEU», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/reiter-2018-structured-review-validity-bleu/cited-by/page/2/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [A Structured Review of the Validity of BLEU](https://md.research.elamur.ai/free/en/papers/reiter-2018-structured-review-validity-bleu/) / cited by

# Who cites «A Structured Review of the Validity of BLEU» · page 2

162 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/reiter-2018-structured-review-validity-bleu/)

Pages: [1](https://md.research.elamur.ai/free/en/papers/reiter-2018-structured-review-validity-bleu/cited-by/) · **2**

1. [Exploring Metaphoric Paraphrase Generation](https://aclanthology.org/2021.conll-1.26/) *— 2021 · Proceedings of the 25th Conference on Computational Natural Language Learning*
2. [Exploring Structural Encoding for Data-to-Text Generation](https://aclanthology.org/2021.inlg-1.44/) *— 2021 · Proceedings of the 14th International Conference on Natural Language Generation*
3. [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*
4. [It's Commonsense, isn't it? Demystifying Human Evaluations in Commonsense-Enhanced NLG Systems](https://aclanthology.org/2021.humeval-1.1/) *— 2021 · Proceedings of the Workshop on Human Evaluation of NLP Systems (HumEval)*
5. [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)*
6. [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)*
7. [On the Need for Thoughtful Data Collection for Multi-Party Dialogue: A Survey of Available Corpora and Collection Methods](https://aclanthology.org/2021.sigdial-1.36/) *— 2021 · Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue*
8. [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*
9. [Preregistering NLP research](https://aclanthology.org/2021.naacl-main.51/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
10. [Reliability Testing for Natural Language Processing Systems](https://aclanthology.org/2021.acl-long.321/) *— 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)*
11. [Rethinking Coherence Modeling: Synthetic vs. Downstream Tasks](https://aclanthology.org/2021.eacl-main.308/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
12. [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)*
13. [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)*
14. [The (Un)Suitability of Automatic Evaluation Metrics for Text Simplification](https://aclanthology.org/2021.cl-4.28/) *— 2021 · Computational Linguistics*
15. [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)*
16. [The Great Misalignment Problem in Human Evaluation of NLP Methods](https://aclanthology.org/2021.humeval-1.8/) *— 2021 · Proceedings of the Workshop on Human Evaluation of NLP Systems (HumEval)*
17. [The Perils of Using Mechanical Turk to Evaluate Open-Ended Text Generation](https://aclanthology.org/2021.emnlp-main.97/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
18. [The ReproGen Shared Task on Reproducibility of Human Evaluations in NLG: Overview and Results](https://aclanthology.org/2021.inlg-1.24/) *— 2021 · Proceedings of the 14th International Conference on Natural Language Generation*
19. [The statistical advantage of automatic NLG metrics at the system level](https://aclanthology.org/2021.acl-long.533/) *— 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)*
20. [To Ship or Not to Ship: An Extensive Evaluation of Automatic Metrics for Machine Translation](https://aclanthology.org/2021.wmt-1.57/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
21. [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*
22. [Underreporting of errors in NLG output, and what to do about it](https://aclanthology.org/2021.inlg-1.14/) *— 2021 · Proceedings of the 14th International Conference on Natural Language Generation*
23. [A Gold Standard Methodology for Evaluating Accuracy in Data-To-Text Systems](https://aclanthology.org/2020.inlg-1.22/) *— 2020 · Proceedings of the 13th International Conference on Natural Language Generation*
24. [A Human Evaluation of AMR-to-English Generation Systems](https://md.research.elamur.ai/free/en/papers/manning-2020-human-evaluation-amr-english-generation/) *— our card · 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
25. [Best Practices for Crowd-based Evaluation of German Summarization: Comparing Crowd, Expert and Automatic Evaluation](https://aclanthology.org/2020.eval4nlp-1.16/) *— 2020 · Proceedings of the First Workshop on Evaluation and Comparison of NLP Systems*
26. [Controlled Hallucinations: Learning to Generate Faithfully from Noisy Data](https://aclanthology.org/2020.findings-emnlp.76/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
27. [Data-Driven Sentence Simplification: Survey and Benchmark](https://aclanthology.org/2020.cl-1.4/) *— 2020 · Computational Linguistics*
28. [Disentangling the Properties of Human Evaluation Methods: A Classification System to Support Comparability, Meta-Evaluation and Reproducibility Testing](https://aclanthology.org/2020.inlg-1.24/) *— 2020 · Proceedings of the 13th International Conference on Natural Language Generation*
29. [Evaluation of Text Generation: A Survey](https://arxiv.org/abs/2006.14799) *— 2020 · arXiv:2006.14799*
30. [Evaluation rules! On the use of grammars and rule-based systems for NLG evaluation](https://aclanthology.org/2020.evalnlgeval-1.3/) *— 2020 · Proceedings of the 1st Workshop on Evaluating NLG Evaluation*
31. [Gradations of Error Severity in Automatic Image Descriptions](https://aclanthology.org/2020.inlg-1.45/) *— 2020 · Proceedings of the 13th International Conference on Natural Language Generation*
32. [History for Visual Dialog: Do we really need it?](https://aclanthology.org/2020.acl-main.728/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
33. [How Do Image Description Systems Describe People? A Targeted Assessment of System Competence in the PEOPLE-domain](https://aclanthology.org/2020.lantern-1.4/) *— 2020 · Proceedings of the Second Workshop on Beyond Vision and LANguage: inTEgrating Real-world kNowledge (LANTERN)*
34. [NUBIA: NeUral Based Interchangeability Assessor for Text Generation](https://aclanthology.org/2020.evalnlgeval-1.4/) *— 2020 · Proceedings of the 1st Workshop on Evaluating NLG Evaluation*
35. [On the interaction of automatic evaluation and task framing in headline style transfer](https://aclanthology.org/2020.evalnlgeval-1.5/) *— 2020 · Proceedings of the 1st Workshop on Evaluating NLG Evaluation*
36. [PARENTing via Model-Agnostic Reinforcement Learning to Correct Pathological Behaviors in Data-to-Text Generation](https://aclanthology.org/2020.inlg-1.18/) *— 2020 · Proceedings of the 13th International Conference on Natural Language Generation*
37. [ReproGen: Proposal for a Shared Task on Reproducibility of Human Evaluations in NLG](https://aclanthology.org/2020.inlg-1.29/) *— 2020 · Proceedings of the 13th International Conference on Natural Language Generation*
38. [SportSett:Basketball - A robust and maintainable data-set for Natural Language Generation](https://aclanthology.org/2020.intellang-1.4/) *— 2020 · Proceedings of the Workshop on Intelligent Information Processing and Natural Language Generation*
39. [Studying the Impact of Filling Information Gaps on the Output Quality of Neural Data-to-Text](https://aclanthology.org/2020.inlg-1.6/) *— 2020 · Proceedings of the 13th International Conference on Natural Language Generation*
40. [Syntax-Guided Controlled Generation of Paraphrases](https://aclanthology.org/2020.tacl-1.22/) *— 2020 · Transactions of the Association for Computational Linguistics*
41. [Tangled up in BLEU: Reevaluating the Evaluation of Automatic Machine Translation Evaluation Metrics](https://md.research.elamur.ai/free/en/papers/mathur-2020-tangled-up-bleu-reevaluating-evaluation/) *— our card · 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
42. [The Amazing World of Neural Language Generation](https://aclanthology.org/2020.emnlp-tutorials.7/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts*
43. [The CACAPO Dataset: A Multilingual, Multi-Domain Dataset for Neural Pipeline and End-to-End Data-to-Text Generation](https://aclanthology.org/2020.inlg-1.10/) *— 2020 · Proceedings of the 13th International Conference on Natural Language Generation*
44. [Towards Harnessing Natural Language Generation to Explain Black-box Models](https://aclanthology.org/2020.nl4xai-1.6/) *— 2020 · 2nd Workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence*
45. [Twenty Years of Confusion in Human Evaluation: NLG Needs Evaluation Sheets and Standardised Definitions](https://aclanthology.org/2020.inlg-1.23/) *— 2020 · Proceedings of the 13th International Conference on Natural Language Generation*
46. [A Simple Recipe towards Reducing Hallucination in Neural Surface Realisation](https://aclanthology.org/P19-1256/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
47. [Agreement is overrated: A plea for correlation to assess human evaluation reliability](https://aclanthology.org/W19-8642/) *— 2019 · Proceedings of the 12th International Conference on Natural Language Generation*
48. [Analyzing Sentence Fusion in Abstractive Summarization](https://aclanthology.org/D19-5413/) *— 2019 · Proceedings of the 2nd Workshop on New Frontiers in Summarization*
49. [Automatic Quality Estimation for Natural Language Generation: Ranting (Jointly Rating and Ranking)](https://aclanthology.org/W19-8644/) *— 2019 · Proceedings of the 12th International Conference on Natural Language Generation*
50. [Best practices for the human evaluation of automatically generated text](https://aclanthology.org/W19-8643/) *— 2019 · Proceedings of the 12th International Conference on Natural Language Generation*
51. [Constrained Decoding for Neural NLG from Compositional Representations in Task-Oriented Dialogue](https://aclanthology.org/P19-1080/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
52. [Evaluating Pronominal Anaphora in Machine Translation: An Evaluation Measure and a Test Suite](https://aclanthology.org/D19-1294/) *— 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)*
53. [Handling Divergent Reference Texts when Evaluating Table-to-Text Generation](https://aclanthology.org/P19-1483/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
54. [MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance](https://aclanthology.org/D19-1053/) *— 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)*
55. [Neural Generation for Czech: Data and Baselines](https://aclanthology.org/W19-8670/) *— 2019 · Proceedings of the 12th International Conference on Natural Language Generation*
56. [Neural Text Summarization: A Critical Evaluation](https://aclanthology.org/D19-1051/) *— 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)*
57. [Text Embellishment using Attention Based Encoder-Decoder Model](https://aclanthology.org/2019.ccnlg-1.4/) *— 2019 · Proceedings of the 4th Workshop on Computational Creativity in Language Generation*
58. [Towards Comprehensive Description Generation from Factual Attribute-value Tables](https://aclanthology.org/P19-1600/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
59. [Weighted posets: Learning surface order from dependency trees](https://aclanthology.org/W19-7807/) *— 2019 · Proceedings of the 18th International Workshop on Treebanks and Linguistic Theories (TLT, SyntaxFest 2019)*
60. [A Call for Clarity in Reporting BLEU Scores](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/) *— our card · 2018 · Proceedings of the Third Conference on Machine Translation: Research Papers*
61. [Automated learning of templates for data-to-text generation: comparing rule-based, statistical and neural methods](https://aclanthology.org/W18-6504/) *— 2018 · Proceedings of the 11th International Conference on Natural Language Generation*
62. [Evaluation methodologies in Automatic Question Generation 2013-2018](https://aclanthology.org/W18-6537/) *— 2018 · Proceedings of the 11th International Conference on Natural Language Generation*

Pages: [1](https://md.research.elamur.ai/free/en/papers/reiter-2018-structured-review-validity-bleu/cited-by/) · **2**