--- title: "Who cites Sequence-to-Sequence — 82 citing papers" description: "82 papers of the Elamur Research library cite «Sequence-to-Sequence Generation for Spoken Dialogue via Deep Syntax Trees and Strings»…" canonical: "https://research.elamur.ai/free/en/papers/dusek-2016-sequence-sequence-generation-spoken-dialogue/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/dusek-2016-sequence-sequence-generation-spoken-dialogue/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Sequence-to-Sequence Generation for Spoken…](https://md.research.elamur.ai/free/en/papers/dusek-2016-sequence-sequence-generation-spoken-dialogue/) / cited by # Who cites «Sequence-to-Sequence Generation for Spoken Dialogue via Deep Syntax Trees and Strings» 82 papers of our library cite it (of the 141,840 whose bibliographies we read) · 13 with a page here, the most cited first · [← back to «Sequence-to-Sequence Generation for Spoken Dialogue via Deep Syntax Trees and Strings»](https://md.research.elamur.ai/free/en/papers/dusek-2016-sequence-sequence-generation-spoken-dialogue/) 1. **[Survey of Hallucination in Natural Language Generation](https://md.research.elamur.ai/free/en/papers/ji-2022-survey-hallucination-natural-language-generation/) [ACM Computing Surveys](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/)**Ziwei Ji, Nayeon Lee, Rita Frieske, et al.*2022 · 5,957 citations* 2. **[Scaling Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/ott-2018-scaling-neural-machine-translation/) [Conference on Machine Translation: Research Papers](https://md.research.elamur.ai/free/en/venues/conference-on-machine-translation-research-papers/)**Myle Ott, Sergey Edunov, David Grangier, et al.*2018 · 819 citations* 3. **[Why We Need New Evaluation Metrics for NLG](https://md.research.elamur.ai/free/en/papers/novikova-2017-why-we-need-new-evaluation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jekaterina Novikova, Ondřej Dušek, Amanda Cercas Curry, et al.*2017 · 688 citations* 4. **[Controlling Linguistic Style Aspects in Neural Language Generation](https://md.research.elamur.ai/free/en/papers/ficler-2017-controlling-linguistic-style-aspects-neural/) [Workshop on Stylistic Variation](https://md.research.elamur.ai/free/en/venues/workshop-on-stylistic-variation/)**Jessica Ficler, Yoav Goldberg*2017 · 427 citations* 5. **[Learning Neural Templates for Text Generation](https://md.research.elamur.ai/free/en/papers/wiseman-2018-learning-neural-templates-text-generation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Sam Wiseman, Stuart Shieber, Alexander Rush*2018 · 280 citations* 6. **[KGPT: Knowledge-Grounded Pre-Training for Data-to-Text Generation](https://md.research.elamur.ai/free/en/papers/chen-2020-kgpt-knowledge-grounded-pre-training/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Wenhu Chen, Yu Su, Xifeng Yan, et al.*2020 · 174 citations* 7. **[Semantic Noise Matters for Neural Natural Language Generation](https://md.research.elamur.ai/free/en/papers/dusek-2019-semantic-noise-matters-neural-natural/) [International Natural Language Generation Conference (INLG)](https://md.research.elamur.ai/free/en/venues/inlg/)**Ondřej Dušek, David M. Howcroft, Verena Rieser*2019 · 164 citations* 8. **[NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics](https://md.research.elamur.ai/free/en/papers/lu-2022-neurologic-esque-decoding-constrained-text/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Ximing Lu, Sean Welleck, Peter West, et al.*2022 · 136 citations* 9. **[Constrained Decoding for Neural NLG from Compositional Representations in Task-Oriented Dialogue](https://md.research.elamur.ai/free/en/papers/balakrishnan-2019-constrained-decoding-neural-nlg-compositional/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Anusha Balakrishnan, Jinfeng Rao, Kartikeya Upasani, et al.*2019 · 132 citations* 10. **[RankME: Reliable Human Ratings for Natural Language Generation](https://md.research.elamur.ai/free/en/papers/novikova-2018-rankme-reliable-human-ratings-natural/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Jekaterina Novikova, Ondřej Dušek, Verena Rieser*2018 · 90 citations* 11. [**Pragmatically Informative Text Generation**Sheng Shen, Daniel Fried, Jacob Andreas, et al.*2019 · 78 citations*](https://md.research.elamur.ai/free/en/papers/shen-2019-pragmatically-informative-text-generation/) 12. [**Factorising AMR generation through syntax**Kris Cao, Stephen Clark*2019 · 28 citations*](https://md.research.elamur.ai/free/en/papers/cao-2019-factorising-amr-generation-through-syntax/) 13. [**An Error Analysis Framework for Shallow Surface Realization**Anastasia Shimorina, Yannick Parmentier, Claire Gardent*2021 · 8 citations*](https://md.research.elamur.ai/free/en/papers/shimorina-2021-error-analysis-framework-shallow-surface/) 69 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/dusek-2016-sequence-sequence-generation-spoken-dialogue/) — Sequence-to-Sequence Generation for Spoken Dialogue via Deep Syntax Trees and Strings