---
title: "Who cites Transition-Based Syntactic Linearization"
description: "The papers of the Elamur Research library that cite «Transition-Based Syntactic Linearization», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/liu-2015-transition-based-syntactic-linearization/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/liu-2015-transition-based-syntactic-linearization/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Transition-Based Syntactic Linearization](https://md.research.elamur.ai/free/en/papers/liu-2015-transition-based-syntactic-linearization/) / cited by

# Who cites «Transition-Based Syntactic Linearization»

18 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/liu-2015-transition-based-syntactic-linearization/)

1. [On the Role of Pre-trained Language Models in Word Ordering: A Case Study with BART](https://aclanthology.org/2022.coling-1.567/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
2. [Learning to Organize a Bag of Words into Sentences with Neural Networks: An Empirical Study](https://aclanthology.org/2021.naacl-main.134/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
3. [Studying word order through iterative shuffling](https://aclanthology.org/2021.emnlp-main.809/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
4. [An Empirical Exploration of Local Ordering Pre-training for Structured Prediction](https://aclanthology.org/2020.findings-emnlp.160/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
5. [Head-First Linearization with Tree-Structured Representation](https://md.research.elamur.ai/free/en/papers/yu-2019-head-first-linearization-tree-structured/) *— our card · 2019 · Proceedings of the 12th International Conference on Natural Language Generation*
6. [Poetry to Prose Conversion in Sanskrit as a Linearisation Task: A Case for Low-Resource Languages](https://aclanthology.org/P19-1111/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
7. [Revisiting the Binary Linearization Technique for Surface Realization](https://aclanthology.org/W19-8635/) *— 2019 · Proceedings of the 12th International Conference on Natural Language Generation*
8. [Weighted posets: Learning surface order from dependency trees](https://aclanthology.org/W19-7807/) *— 2019 · Proceedings of the 18th International Workshop on Treebanks and Linguistic Theories (TLT, SyntaxFest 2019)*
9. [BinLin: A Simple Method of Dependency Tree Linearization](https://md.research.elamur.ai/free/en/papers/puzikov-2018-binlin-simple-method-dependency-tree/) *— our card · 2018 · Proceedings of the First Workshop on Multilingual Surface Realisation*
10. [Improved Dependency Parsing using Implicit Word Connections Learned from Unlabeled Data](https://aclanthology.org/D18-1311/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
11. [LSTM Hypertagging](https://aclanthology.org/W18-6528/) *— 2018 · Proceedings of the 11th International Conference on Natural Language Generation*
12. [A Comparison of Neural Models for Word Ordering](https://aclanthology.org/W17-3531/) *— 2017 · Proceedings of the 10th International Conference on Natural Language Generation*
13. [Transition-Based Deep Input Linearization](https://aclanthology.org/E17-1061/) *— 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers*
14. [Human-like Natural Language Generation Using Monte Carlo Tree Search](https://aclanthology.org/W16-5502/) *— 2016 · Proceedings of the INLG 2016 Workshop on Computational Creativity in Natural Language Generation*
15. [Sequence-to-Sequence Learning as Beam-Search Optimization](https://aclanthology.org/D16-1137/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
16. [Transition-Based Syntactic Linearization with Lookahead Features](https://aclanthology.org/N16-1058/) *— 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
17. [An Empirical Comparison Between N-gram and Syntactic Language Models for Word Ordering](https://aclanthology.org/D15-1043/) *— 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing*
18. [Experiments with Generative Models for Dependency Tree Linearization](https://aclanthology.org/D15-1231/) *— 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing*