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# Who cites «The WebNLG Challenge: Generating Text from RDF Data» · page 2

237 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/gardent-2017-webnlg-challenge-generating-text-rdf/)

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1. [Promoting Graph Awareness in Linearized Graph-to-Text Generation](https://aclanthology.org/2021.findings-acl.82/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
2. [SAPPHIRE: Approaches for Enhanced Concept-to-Text Generation](https://aclanthology.org/2021.inlg-1.21/) *— 2021 · Proceedings of the 14th International Conference on Natural Language Generation*
3. [Stage-wise Fine-tuning for Graph-to-Text Generation](https://aclanthology.org/2021.acl-srw.2/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: Student Research Workshop*
4. [Structural Adapters in Pretrained Language Models for AMR-to-Text Generation](https://aclanthology.org/2021.emnlp-main.351/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
5. [Structure-Aware Pre-Training for Table-to-Text Generation](https://aclanthology.org/2021.findings-acl.200/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
6. [TWT: Table with Written Text for Controlled Data-to-Text Generation](https://aclanthology.org/2021.findings-emnlp.107/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
7. [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)*
8. [Towards a Decomposable Metric for Explainable Evaluation of Text Generation from AMR](https://md.mova.elamur.ai/free/en/docs/papers/opitz-2021-decomposable-metric-explainable-evaluation-text/) *— our card · 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
9. [Transforming Multi-Conditioned Generation from Meaning Representation](https://aclanthology.org/2021.ranlp-1.92/) *— 2021 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)*
10. [Triples-to-Text Generation with Reinforcement Learning Based Graph-augmented Neural Networks](https://arxiv.org/abs/2111.10545) *— 2021 · arXiv:2111.10545*
11. [Uncovering Main Causalities for Long-tailed Information Extraction](https://aclanthology.org/2021.emnlp-main.763/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
12. [Weisfeiler-Leman in the Bamboo: Novel AMR Graph Metrics and a Benchmark for AMR Graph Similarity](https://md.mova.elamur.ai/free/en/docs/papers/opitz-2021-weisfeiler-leman-bamboo-novel-amr/) *— our card · 2021 · Transactions of the Association for Computational Linguistics*
13. [WikiGraphs: A Wikipedia Text - Knowledge Graph Paired Dataset](https://aclanthology.org/2021.textgraphs-1.7/) *— 2021 · Proceedings of the Fifteenth Workshop on Graph-Based Methods for Natural Language Processing (TextGraphs-15)*
14. [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*
15. [$\mathcalP^2$: 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+)*
16. [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+)*
17. [An Unsupervised Joint System for Text Generation from Knowledge Graphs and Semantic Parsing](https://aclanthology.org/2020.emnlp-main.577/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
18. [BLEURT: Learning Robust Metrics for Text Generation](https://aclanthology.org/2020.acl-main.704/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
19. [Best Practices for Data-Efficient Modeling in NLG:How to Train Production-Ready Neural Models with Less Data](https://aclanthology.org/2020.coling-industry.7/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics: Industry Track*
20. [Bridging the Structural Gap Between Encoding and Decoding for Data-To-Text Generation](https://aclanthology.org/2020.acl-main.224/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
21. [CycleGT: Unsupervised Graph-to-Text and Text-to-Graph Generation via Cycle Training](https://aclanthology.org/2020.webnlg-1.8/) *— 2020 · Proceedings of the 3rd International Workshop on Natural Language Generation from the Semantic Web (WebNLG+)*
22. [DART: Open-Domain Structured Data Record to Text Generation](https://arxiv.org/abs/2007.02871) *— 2020 · arXiv:2007.02871*
23. [Data-to-Text Generation with Iterative Text Editing](https://aclanthology.org/2020.inlg-1.9/) *— 2020 · Proceedings of the 13th International Conference on Natural Language Generation*
24. [Denoising Pre-Training and Data Augmentation Strategies for Enhanced RDF Verbalization with Transformers](https://aclanthology.org/2020.webnlg-1.9/) *— 2020 · Proceedings of the 3rd International Workshop on Natural Language Generation from the Semantic Web (WebNLG+)*
25. [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*
26. [Dynamic Topic Tracker for KB-to-Text Generation](https://aclanthology.org/2020.coling-main.215/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
27. [ENT-DESC: Entity Description Generation by Exploring Knowledge Graph](https://aclanthology.org/2020.emnlp-main.90/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
28. [Evaluating Semantic Accuracy of Data-to-Text Generation with Natural Language Inference](https://aclanthology.org/2020.inlg-1.19/) *— 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. [Few-Shot NLG with Pre-Trained Language Model](https://aclanthology.org/2020.acl-main.18/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
31. [GenWiki: A Dataset of 1.3 Million Content-Sharing Text and Graphs for Unsupervised Graph-to-Text Generation](https://aclanthology.org/2020.coling-main.217/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
32. [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*
33. [Improving Text-to-Text Pre-trained Models for the Graph-to-Text Task](https://aclanthology.org/2020.webnlg-1.11/) *— 2020 · Proceedings of the 3rd International Workshop on Natural Language Generation from the Semantic Web (WebNLG+)*
34. [Knowledge Graphs](https://arxiv.org/abs/2003.02320) *— 2020 · arXiv:2003.02320 (ACM Comput. Surv. 54(4): 71:1-71:37 (2021))*
35. [Learning to Evaluate Translation Beyond English: BLEURT Submissions to the WMT Metrics 2020 Shared Task](https://aclanthology.org/2020.wmt-1.102/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*
36. [Line Graph Enhanced AMR-to-Text Generation with Mix-Order Graph Attention Networks](https://aclanthology.org/2020.acl-main.67/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
37. [Machine Translation Aided Bilingual Data-to-Text Generation and Semantic Parsing](https://aclanthology.org/2020.webnlg-1.13/) *— 2020 · Proceedings of the 3rd International Workshop on Natural Language Generation from the Semantic Web (WebNLG+)*
38. [Multilingual AMR-to-Text Generation](https://aclanthology.org/2020.emnlp-main.231/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
39. [NILC at WebNLG+: Pretrained Sequence-to-Sequence Models on RDF-to-Text Generation](https://aclanthology.org/2020.webnlg-1.14/) *— 2020 · Proceedings of the 3rd International Workshop on Natural Language Generation from the Semantic Web (WebNLG+)*
40. [NUIG-DSI at the WebNLG+ challenge: Leveraging Transfer Learning for RDF-to-text generation](https://aclanthology.org/2020.webnlg-1.15/) *— 2020 · Proceedings of the 3rd International Workshop on Natural Language Generation from the Semantic Web (WebNLG+)*
41. [Online Back-Parsing for AMR-to-Text Generation](https://aclanthology.org/2020.emnlp-main.92/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
42. [Partially-Aligned Data-to-Text Generation with Distant Supervision](https://aclanthology.org/2020.emnlp-main.738/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
43. [RDFjsRealB: a Symbolic Approach for Generating Text from RDF Triples](https://aclanthology.org/2020.webnlg-1.16/) *— 2020 · Proceedings of the 3rd International Workshop on Natural Language Generation from the Semantic Web (WebNLG+)*
44. [Referring to what you know and do not know: Making Referring Expression Generation Models Generalize To Unseen Entities](https://aclanthology.org/2020.coling-main.205/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
45. [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*
46. [Structural Information Preserving for Graph-to-Text Generation](https://aclanthology.org/2020.acl-main.712/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
47. [Template Guided Text Generation for Task-Oriented Dialogue](https://aclanthology.org/2020.emnlp-main.527/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
48. [Text-to-Text Pre-Training Model with Plan Selection for RDF-to-Text Generation](https://aclanthology.org/2020.webnlg-1.18/) *— 2020 · Proceedings of the 3rd International Workshop on Natural Language Generation from the Semantic Web (WebNLG+)*
49. [Text-to-Text Pre-Training for Data-to-Text Tasks](https://arxiv.org/abs/2005.10433) *— 2020 · arXiv:2005.10433*
50. [The 2020 Bilingual, Bi-Directional WebNLG+ Shared Task: Overview and Evaluation Results (WebNLG+ 2020)](https://aclanthology.org/2020.webnlg-1.7/) *— 2020 · Proceedings of the 3rd International Workshop on Natural Language Generation from the Semantic Web (WebNLG+)*
51. [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*
52. [ToTTo: A Controlled Table-To-Text Generation Dataset](https://aclanthology.org/2020.emnlp-main.89/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
53. [Train Hard, Finetune Easy: Multilingual Denoising for RDF-to-Text Generation](https://aclanthology.org/2020.webnlg-1.20/) *— 2020 · Proceedings of the 3rd International Workshop on Natural Language Generation from the Semantic Web (WebNLG+)*
54. [WebNLG 2020 Challenge: Semantic Template Mining for Generating References from RDF](https://aclanthology.org/2020.webnlg-1.21/) *— 2020 · Proceedings of the 3rd International Workshop on Natural Language Generation from the Semantic Web (WebNLG+)*
55. [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*
56. [Barack''s Wife Hillary: Using Knowledge Graphs for Fact-Aware Language Modeling](https://aclanthology.org/P19-1598/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
57. [Enhancing AMR-to-Text Generation with Dual Graph Representations](https://aclanthology.org/D19-1314/) *— 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)*
58. [Findings of the Third Workshop on Neural Generation and Translation](https://aclanthology.org/D19-5601/) *— 2019 · Proceedings of the 3rd Workshop on Neural Generation and Translation*
59. [Generating Summaries with Topic Templates and Structured Convolutional Decoders](https://aclanthology.org/P19-1504/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
60. [Revisiting the Binary Linearization Technique for Surface Realization](https://aclanthology.org/W19-8635/) *— 2019 · Proceedings of the 12th International Conference on Natural Language Generation*
61. [Step-by-Step: Separating Planning from Realization in Neural Data-to-Text Generation](https://aclanthology.org/N19-1236/) *— 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)*
62. [Teaching FORGe to Verbalize DBpedia Properties in Spanish](https://aclanthology.org/W19-8659/) *— 2019 · Proceedings of the 12th International Conference on Natural Language Generation*
63. [Triple-to-Text: Converting RDF Triples into High-Quality Natural Languages via Optimizing an Inverse KL Divergence](https://arxiv.org/abs/1906.01965) *— 2019 · arXiv:1906.01965*
64. [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*
65. [Deep Graph Convolutional Encoders for Structured Data to Text Generation](https://aclanthology.org/W18-6501/) *— 2018 · Proceedings of the 11th International Conference on Natural Language Generation*
66. [Deep Learning Approaches to Text Production](https://aclanthology.org/N18-6002/) *— 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Tutorial Abstracts*
67. [Enriching the WebNLG corpus](https://aclanthology.org/W18-6521/) *— 2018 · Proceedings of the 11th International Conference on Natural Language Generation*
68. [Findings of the E2E NLG Challenge](https://aclanthology.org/W18-6539/) *— 2018 · Proceedings of the 11th International Conference on Natural Language Generation*
69. [GTR-LSTM: A Triple Encoder for Sentence Generation from RDF Data](https://aclanthology.org/P18-1151/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
70. [GenDR: A Generic Deep Realizer with Complex Lexicalization](https://md.mova.elamur.ai/free/en/docs/papers/lareau-2018-gendr-generic-deep-realizer-complex/) *— our card · 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)*
71. [Generating Fine-Grained Open Vocabulary Entity Type Descriptions](https://aclanthology.org/P18-1081/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
72. [Handling Rare Items in Data-to-Text Generation](https://aclanthology.org/W18-6543/) *— 2018 · Proceedings of the 11th International Conference on Natural Language Generation*
73. [NeuralREG: An end-to-end approach to referring expression generation](https://aclanthology.org/P18-1182/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
74. [OpenNMT: Neural Machine Translation Toolkit](https://aclanthology.org/W18-1817/) *— 2018 · Proceedings of the 13th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)*
75. [Toward Bayesian Synchronous Tree Substitution Grammars for Sentence Planning](https://aclanthology.org/W18-6546/) *— 2018 · Proceedings of the 11th International Conference on Natural Language Generation*
76. alsuradi-2026-grouped-adaptive-weight-sharing-gaws
77. anders-2022-ufact-unfaithful-alien-corpora-training
78. balepur-2023-text-fact-transfer
79. belz-2026-mapping-out-nlp-evaluation-landscape
80. bihany-2025-lorma-low-rank-multiplicative-adaptation
81. bugliarello-2023-weakly-supervised-learning-visual-relations
82. byun-2025-textit-d-gen-automatic-distractor
83. calo-2023-is-shortest-always-best-role
84. calo-2025-incorporating-formulaicness-automatic-evaluation-naturalness
85. chen-2022-empowering-parameter-efficient-transfer-learning
86. chen-2024-intrinsic-task-based-evaluation-referring
87. colas-2023-knowledge-grounded-natural-language-recommendation
88. cremaschi-2019-supporting-journalism-combining-neural-language
89. domingo-2020-enhancing-sequence-sequence-modelling-rdf
90. eisenstadt-2021-evaluation-guidelines-deal-implicit-phenomena
91. elahi-2023-lexexmachinaqa-framework-automatic-induction-ofontology
92. ferreira-2021-enriching-e2e-dataset
93. fu-2020-unsupervised-kb-text-generation-auxiliary
94. gatti-2022-vistot-vision-augmented-table-text
95. ge-2026-towards-tee-certified-dp-verifiable
96. hao-2025-fact-verification-knowledge-graph-programmatic
97. hao-2026-extending-first-order-logic-factual
98. hargreaves-2021-incremental-beam-manipulation-natural-language
99. howcroft-2024-exploring-impact-data-representation-neural
100. huidrom-2025-dcu-adapt-modpb-gem-24

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