---
title: "Who cites The WebNLG Challenge: Generating Text from RDF…"
description: "The papers of the Elamur Research library that cite «The WebNLG Challenge: Generating Text from RDF Data», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/gardent-2017-webnlg-challenge-generating-text-rdf/cited-by/page/3/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [The WebNLG Challenge: Generating Text from RDF…](https://md.research.elamur.ai/free/en/papers/gardent-2017-webnlg-challenge-generating-text-rdf/) / cited by

# 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.research.elamur.ai/free/en/papers/gardent-2017-webnlg-challenge-generating-text-rdf/)

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

1. [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)*
2. [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+)*
3. [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*
4. [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*
5. [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*
6. [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)*
7. [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+)*
8. [Text-to-Text Pre-Training for Data-to-Text Tasks](https://arxiv.org/abs/2005.10433) *— 2020 · arXiv:2005.10433*
9. [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+)*
10. [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*
11. [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)*
12. [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+)*
13. [Unsupervised KB-to-Text Generation with Auxiliary Triple Extraction using Dual Learning](https://aclanthology.org/2020.aacl-main.29/) *— 2020 · Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing*
14. [Utilising Knowledge Graph Embeddings for Data-to-Text Generation](https://aclanthology.org/2020.webnlg-1.6/) *— 2020 · Proceedings of the 3rd International Workshop on Natural Language Generation from the Semantic Web (WebNLG+)*
15. [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+)*
16. [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*
17. [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*
18. [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)*
19. [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*
20. [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*
21. [Revisiting the Binary Linearization Technique for Surface Realization](https://aclanthology.org/W19-8635/) *— 2019 · Proceedings of the 12th International Conference on Natural Language Generation*
22. [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)*
23. [Supporting Journalism by Combining Neural Language Generation and Knowledge Graphs](https://aclanthology.org/2019.clicit-1.67/) *— 2019 · Proceedings of the Sixth Italian Conference on Computational Linguistics (CLiC-it 2019)*
24. [Teaching FORGe to Verbalize DBpedia Properties in Spanish](https://aclanthology.org/W19-8659/) *— 2019 · Proceedings of the 12th International Conference on Natural Language Generation*
25. [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*
26. [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*
27. [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*
28. [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*
29. [Enriching the WebNLG corpus](https://aclanthology.org/W18-6521/) *— 2018 · Proceedings of the 11th International Conference on Natural Language Generation*
30. [Findings of the E2E NLG Challenge](https://aclanthology.org/W18-6539/) *— 2018 · Proceedings of the 11th International Conference on Natural Language Generation*
31. [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)*
32. [GenDR: A Generic Deep Realizer with Complex Lexicalization](https://md.research.elamur.ai/free/en/papers/lareau-2018-gendr-generic-deep-realizer-complex/) *— our card · 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)*
33. [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)*
34. [Handling Rare Items in Data-to-Text Generation](https://aclanthology.org/W18-6543/) *— 2018 · Proceedings of the 11th International Conference on Natural Language Generation*
35. [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)*
36. [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)*
37. [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*

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