[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/cited-by/gardent-2017-webnlg-challenge-generating-text-rdf-3/)

[home](https://md.mova.elamur.ai/free/en/) / [docs](https://md.mova.elamur.ai/free/en/docs/) / [papers](https://md.mova.elamur.ai/free/en/docs/papers/) / [cited-by](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/) / Who cites «The WebNLG Challenge: Generating Text from RDF Data» · page 3

# Who cites «The WebNLG Challenge: Generating Text from RDF Data» · page 3

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/)

Pages: [1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/gardent-2017-webnlg-challenge-generating-text-rdf/) · [2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/gardent-2017-webnlg-challenge-generating-text-rdf-2/) · **3**

1. kasner-2023-tabgenie-toolkit-table-text-generation
2. kawarada-2024-demonstration-selection-strategies-numerical-time
3. klubicka-2024-reprohum-1018-09-reproducing-human
4. langner-2026-reprohum-0124-03-reproducing-human
5. li-2023-few-shot-data-text-generation
6. long-2025-beyond-context-learning-aligning-long
7. lu-2023-august-automatic-generation-understudy-synthesizing
8. ma-2025-prad-prompt-adaptive-tuning-decoder
9. martinez-2023-phylogeny-inspired-soft-prompts-data
10. martinez-2025-semantic-evaluation-multilingual-data-text
11. mille-2020-case-study-nlg-multimedia-data
12. mille-2024-filling-gaps-wikipedia-leveraging-data
13. miltenburg-2020-evaluation-rules-use-grammars-rule
14. murugesan-2023-mismatch-fine-grained-evaluation-machine
15. nair-2024-midgard-self-consistency-minimum-description
16. nikiforovskaya-2025-fine-tuning-prompting-rag-knowledge
17. onderkova-2025-insight-discovery-structured-data
18. osuji-2024-pipeline-neural-data-text-large
19. osuji-2025-scaling-up-data-text-generation
20. pagarey-2021-stylistic-mr-text-generation-pre
21. pasricha-2020-utilising-knowledge-graph-embeddings-data
22. pasricha-2021-nuig-dsi-s-submission-gem
23. pasricha-2023-cured4nlg-dataset-table-text-generation
24. pasunuru-2020-dorb-dynamically-optimizing-multiple-rewards
25. qiu-2025-superpose-task-specific-features-model
26. sagare-2023-xf2t-cross-lingual-fact-text
27. sedoc-2025-2024-gem-shared-task-multilingual
28. song-2025-multilingual-verbalisation-knowledge-graphs
29. tang-2022-echogen-generating-conclusions-echocardiogram-notes
30. vejvar-2023-aspiro-any-shot-structured-parsing
31. wu-2025-analysing-reference-production-large-language
32. yang-2022-pathway2text-dataset-method-biomedical-pathway
33. yuan-2024-gnnavi-navigating-information-flow-large
34. yuan-2024-grasame-injecting-token-level-structural
35. yuan-2025-graph-guided-textual-explanation-generation
36. zhang-2025-dynamic-task-vector-grouping-efficient
37. zhou-2021-generalising-multilingual-concept-text-nlg

Pages: [1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/gardent-2017-webnlg-challenge-generating-text-rdf/) · [2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/gardent-2017-webnlg-challenge-generating-text-rdf-2/) · **3**

- [← previous Who cites «The WebNLG Challenge: Generating Text from RDF Data» · page 2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/gardent-2017-webnlg-challenge-generating-text-rdf-2/)
- [next → Who cites «Evaluating Models' Local Decision Boundaries via Contrast Sets»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/gardner-2020-evaluating-models-local-decision-boundaries/)
- [↑ back to papers/cited-by/](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/)