---
title: "Who cites Generation by Inverting a Semantic Parser that…"
description: "The papers of the Elamur Research library that cite «Generation by Inverting a Semantic Parser that Uses Statistical Machine Translation», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/wong-2007-generation-inverting-semantic-parser-that/cited-by/"
---
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# Who cites «Generation by Inverting a Semantic Parser that Uses Statistical Machine Translation»

42 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/wong-2007-generation-inverting-semantic-parser-that/)

1. [Slot-consistent NLG for Task-oriented Dialogue Systems with Iterative Rectification Network](https://aclanthology.org/2020.acl-main.10/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
2. [TAG : Type Auxiliary Guiding for Code Comment Generation](https://aclanthology.org/2020.acl-main.27/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
3. [Jointly Learning Semantic Parser and Natural Language Generator via Dual Information Maximization](https://aclanthology.org/P19-1201/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
4. [Naver Labs Europe's Systems for the Document-Level Generation and Translation Task at WNGT 2019](https://aclanthology.org/D19-5631/) *— 2019 · Proceedings of the 3rd Workshop on Neural Generation and Translation*
5. [Neural Text Generation from Rich Semantic Representations](https://aclanthology.org/N19-1235/) *— 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)*
6. [PoMo: Generating Entity-Specific Post-Modifiers in Context](https://aclanthology.org/N19-1089/) *— 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)*
7. [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*
8. [Neural sentence generation from formal semantics](https://aclanthology.org/W18-6549/) *— 2018 · Proceedings of the 11th International Conference on Natural Language Generation*
9. [Operation-guided Neural Networks for High Fidelity Data-To-Text Generation](https://aclanthology.org/D18-1422/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
10. [A Statistical, Grammar-Based Approach to Microplanning](https://aclanthology.org/J17-1001/) *— 2017 · Computational Linguistics*
11. [Challenges in Data-to-Document Generation](https://arxiv.org/abs/1707.08052) *— 2017 · arXiv:1707.08052*
12. [Learning Semantic Correspondences in Technical Documentation](https://aclanthology.org/P17-1148/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
13. [Learning to Generate Market Comments from Stock Prices](https://aclanthology.org/P17-1126/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
14. [The Code2Text Challenge: Text Generation in Source Libraries](https://aclanthology.org/W17-3516/) *— 2017 · Proceedings of the 10th International Conference on Natural Language Generation*
15. [Category-Driven Content Selection](https://aclanthology.org/W16-6616/) *— 2016 · Proceedings of the 9th International Natural Language Generation conference*
16. [How Much is 131 Million Dollars? Putting Numbers in Perspective with Compositional Descriptions](https://aclanthology.org/P16-1055/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
17. [Neural Text Generation from Structured Data with Application to the Biography Domain](https://arxiv.org/abs/1603.07771) *— 2016 · arXiv:1603.07771*
18. [Sequence-to-Sequence Generation for Spoken Dialogue via Deep Syntax Trees and Strings](https://aclanthology.org/P16-2008/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
19. [What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment](https://aclanthology.org/N16-1086/) *— 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
20. [A Domain Agnostic Approach to Verbalizing n-ary Events without Parallel Corpora](https://aclanthology.org/W15-4703/) *— 2015 · Proceedings of the 15th European Workshop on Natural Language Generation (ENLG)*
21. [Data-driven sentence generation with non-isomorphic trees](https://aclanthology.org/N15-1042/) *— 2015 · Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
22. [Hierarchical Statistical Semantic Realization for Minimal Recursion Semantics](https://aclanthology.org/W15-0116/) *— 2015 · Proceedings of the 11th International Conference on Computational Semantics*
23. [Language to Code: Learning Semantic Parsers for If-This-Then-That Recipes](https://aclanthology.org/P15-1085/) *— 2015 · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
24. [Reversibility reconsidered: finite-state factors for efficient probabilistic sampling in parsing and generation](https://aclanthology.org/D15-1233/) *— 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing*
25. [Training a Natural Language Generator From Unaligned Data](https://aclanthology.org/P15-1044/) *— 2015 · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
26. [Stochastic Language Generation in Dialogue using Factored Language Models](https://aclanthology.org/J14-4003/) *— 2014 · Computational Linguistics*
27. [Surface Realisation from Knowledge-Bases](https://aclanthology.org/P14-1040/) *— 2014 · Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
28. [Word Ordering with Phrase-Based Grammars](https://aclanthology.org/E14-1028/) *— 2014 · Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics*
29. [Inducing Document Plans for Concept-to-Text Generation](https://aclanthology.org/D13-1157/) *— 2013 · Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing*
30. [Concept-to-text Generation via Discriminative Reranking](https://aclanthology.org/P12-1039/) *— 2012 · Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
31. [Rich Morphology Generation Using Statistical Machine Translation](https://aclanthology.org/W12-1514/) *— 2012 · INLG 2012 Proceedings of the Seventh International Natural Language Generation Conference*
32. [Towards a Surface Realization-Oriented Corpus Annotation](https://aclanthology.org/W12-1506/) *— 2012 · INLG 2012 Proceedings of the Seventh International Natural Language Generation Conference*
33. [Unsupervised Concept-to-text Generation with Hypergraphs](https://aclanthology.org/N12-1093/) *— 2012 · Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
34. [A Probabilistic Forest-to-String Model for Language Generation from Typed Lambda Calculus Expressions](https://aclanthology.org/D11-1149/) *— 2011 · Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing*
35. [Data-Driven Response Generation in Social Media](https://aclanthology.org/D11-1054/) *— 2011 · Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing*
36. [Generative Alignment and Semantic Parsing for Learning from Ambiguous Supervision](https://aclanthology.org/C10-2062/) *— 2010 · Coling 2010: Posters*
37. [Phrase-Based Statistical Language Generation Using Graphical Models and Active Learning](https://aclanthology.org/P10-1157/) *— 2010 · Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics*
38. [Improving Grammaticality in Statistical Sentence Generation: Introducing a Dependency Spanning Tree Algorithm with an Argument Satisfaction Model](https://aclanthology.org/E09-1097/) *— 2009 · Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009)*
39. [Natural Language Generation with Tree Conditional Random Fields](https://aclanthology.org/D09-1042/) *— 2009 · Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing*
40. [System Building Cost vs. Output Quality in Data-to-Text Generation](https://aclanthology.org/W09-0603/) *— 2009 · Proceedings of the 12th European Workshop on Natural Language Generation (ENLG 2009)*
41. [Practical Grammar-Based NLG from Examples](https://aclanthology.org/W08-1111/) *— 2008 · Proceedings of the Fifth International Natural Language Generation Conference*
42. [Learning Synchronous Grammars for Semantic Parsing with Lambda Calculus](https://aclanthology.org/P07-1121/) *— 2007 · Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics*