[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/cited-by/elder-2019-designing-symbolic-intermediate-representation-neural/)

[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 «Designing a Symbolic Intermediate Representation for Neural Surface Realization»

# Who cites «Designing a Symbolic Intermediate Representation for Neural Surface Realization»

6 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/elder-2019-designing-symbolic-intermediate-representation-neural/)

1. [Using Structured Content Plans for Fine-grained Syntactic Control in Pretrained Language Model Generation](https://aclanthology.org/2022.coling-1.514/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
2. [AggGen: Ordering and Aggregating while Generating](https://aclanthology.org/2021.acl-long.113/) *— 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)*
3. [An Error Analysis Framework for Shallow Surface Realization](https://md.mova.elamur.ai/free/en/docs/papers/shimorina-2021-error-analysis-framework-shallow-surface/) *— our card · 2021*
4. [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)*
5. [A Tree-to-Sequence Model for Neural NLG in Task-Oriented Dialog](https://aclanthology.org/W19-8611/) *— 2019 · Proceedings of the 12th International Conference on Natural Language Generation*
6. [Neural data-to-text generation: A comparison between pipeline and end-to-end architectures](https://aclanthology.org/D19-1052/) *— 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)*
- [← previous Who cites «TinyStories: How Small Can Language Models Be and Still Speak Coherent English?» · page 2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/eldan-2023-tinystories-small-language-models-still-2/)
- [next → Who cites «Shape of Synth to Come: Why We Should Use Synthetic Data for English Surface Realization»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/elder-2020-shape-synth-come-why-we/)
- [↑ back to papers/cited-by/](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/)
