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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

  1. Learning to Organize a Bag of Words into Sentences with Neural Networks: An Empirical Study — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  2. Studying word order through iterative shuffling — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  3. Head-First Linearization with Tree-Structured Representation — our card · 2019 · Proceedings of the 12th International Conference on Natural Language Generation
  4. Poetry to Prose Conversion in Sanskrit as a Linearisation Task: A Case for Low-Resource Languages — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  5. Revisiting the Binary Linearization Technique for Surface Realization — 2019 · Proceedings of the 12th International Conference on Natural Language Generation
  6. BinLin: A Simple Method of Dependency Tree Linearization — our card · 2018 · Proceedings of the First Workshop on Multilingual Surface Realisation
  7. Improved Dependency Parsing using Implicit Word Connections Learned from Unlabeled Data — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
  8. A Comparison of Neural Models for Word Ordering — 2017 · Proceedings of the 10th International Conference on Natural Language Generation
  9. Transition-Based Deep Input Linearization — 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers
  10. Human-like Natural Language Generation Using Monte Carlo Tree Search — 2016 · Proceedings of the INLG 2016 Workshop on Computational Creativity in Natural Language Generation
  11. Sequence-to-Sequence Learning as Beam-Search Optimization — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
  12. Transition-Based Syntactic Linearization with Lookahead Features — 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  13. An Empirical Comparison Between N-gram and Syntactic Language Models for Word Ordering — 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing
  14. Experiments with Generative Models for Dependency Tree Linearization — 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing
  15. dyer-2019-weighted-posets-learning-surface-order
  16. fu-2018-lstm-hypertagging
  17. ou-2022-role-pre-trained-language-models
  18. zhang-2020-empirical-exploration-local-ordering-pre

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