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# Who cites «Algorithms for Deterministic Incremental Dependency Parsing»

208 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/narrative-2008-nivre-algorithms-deterministic-incremental-dependency-parsing/)

Pages: **1** · [2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/narrative-2008-nivre-algorithms-deterministic-incremental-dependency-parsing-2/) · [3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/narrative-2008-nivre-algorithms-deterministic-incremental-dependency-parsing-3/)

1. [Examining Algebraic Recombination for Compositional Generalisation](https://aclanthology.org/2026.cmcl-1.18/) *— 2026 · Proceedings of the 15th Workshop on Cognitive Modeling and Computational Linguistics*
2. [Prior Lessons of Incremental Dialogue and Robot Action Management for the Age of Language Models](https://aclanthology.org/2025.dnd-16.12/) *— 2025 · Dialogue Discourse Volume 16*
3. [The Thai Universal Dependency Treebank](https://aclanthology.org/2025.tacl-1.18/) *— 2025*
4. [Dialogue Discourse Parsing as Generation: A Sequence-to-Sequence LLM-based Approach](https://aclanthology.org/2024.sigdial-1.1/) *— 2024 · Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue*
5. [When Only Time Will Tell: Interpreting How Transformers Process Local Ambiguities Through the Lens of Restart-Incrementality](https://aclanthology.org/2024.acl-long.260/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
6. [Neural-Symbolic Inference for Robust Autoregressive Graph Parsing via Compositional Uncertainty Quantification](https://aclanthology.org/2022.emnlp-main.314/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
7. [Nucleus Composition in Transition-based Dependency Parsing](https://md.mova.elamur.ai/free/en/docs/papers/ud-2022-nivre-nucleus-composition-transition-based-dependency/) *— our card · 2022*
8. [On Parsing as Tagging](https://aclanthology.org/2022.emnlp-main.607/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
9. [Towards Collaborative Neural-Symbolic Graph Semantic Parsing via Uncertainty](https://aclanthology.org/2022.findings-acl.328/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
10. [Using ASR-Generated Text for Spoken Language Modeling](https://aclanthology.org/2022.bigscience-1.2/) *— 2022 · Proceedings of BigScience Episode \#5 – Workshop on Challenges & Perspectives in Creating Large Language Models*
11. [Not All Linearizations Are Equally Data-Hungry in Sequence Labeling Parsing](https://aclanthology.org/2021.ranlp-1.111/) *— 2021 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)*
12. [The Reading Machine: A Versatile Framework for Studying Incremental Parsing Strategies](https://aclanthology.org/2021.iwpt-1.3/) *— 2021 · Proceedings of the 17th International Conference on Parsing Technologies and the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies (IWPT 2021)*
13. [Transition-based Bubble Parsing: Improvements on Coordination Structure Prediction](https://md.mova.elamur.ai/free/en/docs/papers/shi-2021-transition-based-bubble-parsing-improvements/) *— our card · 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)*
14. [We Need to Talk About train-dev-test Splits](https://aclanthology.org/2021.emnlp-main.368/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
15. [A Unifying Theory of Transition-based and Sequence Labeling Parsing](https://aclanthology.org/2020.coling-main.336/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
16. [AMR Parsing with Latent Structural Information](https://aclanthology.org/2020.acl-main.397/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
17. [Comparing Neural Network Parsers for a Less-resourced and Morphologically-rich Language: Amharic Dependency Parser](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2020-seyoum-comparing-neural-network-parsers-less/) *— our card · 2020*
18. [Cross-Lingual Dependency Parsing by POS-Guided Word Reordering](https://aclanthology.org/2020.findings-emnlp.265/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
19. [Exploiting Syntactic Structure for Better Language Modeling: A Syntactic Distance Approach](https://aclanthology.org/2020.acl-main.591/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
20. [Fast semantic parsing with well-typedness guarantees](https://aclanthology.org/2020.emnlp-main.323/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
21. [Inherent Dependency Displacement Bias of Transition-Based Algorithms](https://md.mova.elamur.ai/free/en/docs/papers/ud-2020-anderson-inherent-dependency-displacement-bias-transition/) *— our card · 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
22. [Semi-supervised Parsing with a Variational Autoencoding Parser](https://aclanthology.org/2020.iwpt-1.5/) *— 2020 · Proceedings of the 16th International Conference on Parsing Technologies and the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies*
23. [Transition-based Semantic Dependency Parsing with Pointer Networks](https://aclanthology.org/2020.acl-main.629/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
24. [Deep Contextualized Word Embeddings in Transition-Based and Graph-Based Dependency Parsing - A Tale of Two Parsers Revisited](https://aclanthology.org/D19-1277/) *— 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)*
25. [HIT-SCIR at MRP 2019: A Unified Pipeline for Meaning Representation Parsing via Efficient Training and Effective Encoding](https://aclanthology.org/K19-2007/) *— 2019 · Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 Conference on Natural Language Learning*
26. [How to embed noncrossing trees in Universal Dependencies treebanks in a low-complexity regular language](https://jlm.ipipan.waw.pl/index.php/JLM/article/view/213) *— 2019 · Journal of Language Modelling*
27. [Left-to-Right Dependency Parsing with Pointer Networks](https://aclanthology.org/N19-1076/) *— 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)*
28. [Méthodes de représentation de la langue pour l'analyse syntaxique multilingue (Language representation methods for multilingual syntactic parsing )](https://aclanthology.org/2019.jeptalnrecital-recital.9/) *— 2019 · Actes de la Conférence sur le Traitement Automatique des Langues Naturelles (TALN) PFIA 2019. Volume III : RECITAL*
29. [Parallelizable Stack Long Short-Term Memory](https://aclanthology.org/W19-1501/) *— 2019 · Proceedings of the Third Workshop on Structured Prediction for NLP*
30. [Parsing Chinese Sentences with Grammatical Relations](https://aclanthology.org/J19-1003/) *— 2019 · Computational Linguistics*
31. [Peking at MRP 2019: Factorization- and Composition-Based Parsing for Elementary Dependency Structures](https://aclanthology.org/K19-2016/) *— 2019 · Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 Conference on Natural Language Learning*
32. [Practical Semantic Parsing for Spoken Language Understanding](https://aclanthology.org/N19-2003/) *— 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Industry Papers)*
33. [Recursive Subtree Composition in LSTM-Based Dependency Parsing](https://aclanthology.org/N19-1159/) *— 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)*
34. [Rewarding Smatch: Transition-Based AMR Parsing with Reinforcement Learning](https://aclanthology.org/P19-1451/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
35. [Surprisal and Interference Effects of Case Markers in Hindi Word Order](https://aclanthology.org/W19-2904/) *— 2019 · Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics*
36. [Typological Features for Multilingual Delexicalised Dependency Parsing](https://aclanthology.org/N19-1393/) *— 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)*
37. [82 Treebanks, 34 Models: Universal Dependency Parsing with Multi-Treebank Models](https://aclanthology.org/K18-2011/) *— 2018 · Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies*
38. [A Dynamic Oracle for Linear-Time 2-Planar Dependency Parsing](https://aclanthology.org/N18-2062/) *— 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)*
39. [A Transition-Based Algorithm for Unrestricted AMR Parsing](https://aclanthology.org/N18-2023/) *— 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)*
40. [An AMR Aligner Tuned by Transition-based Parser](https://aclanthology.org/D18-1264/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
41. [An Investigation of the Interactions Between Pre-Trained Word Embeddings, Character Models and POS Tags in Dependency Parsing](https://aclanthology.org/D18-1291/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
42. [Approximate Dynamic Oracle for Dependency Parsing with Reinforcement Learning](https://md.mova.elamur.ai/free/en/docs/papers/ud-2018-yu-approximate-dynamic-oracle-dependency-parsing/) *— our card · 2018 · Proceedings of the Second Workshop on Universal Dependencies (UDW 2018)*
43. [Automatically Selecting the Best Dependency Annotation Design with Dynamic Oracles](https://md.mova.elamur.ai/free/en/docs/papers/bank-2018-wisniewski-automatically-selecting-best-dependency-annotation/) *— our card · 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)*
44. [Cache Transition Systems for Graph Parsing](https://aclanthology.org/J18-1004/) *— 2018 · Computational Linguistics*
45. [DeepCx: A transition-based approach for shallow semantic parsing with complex constructional triggers](https://aclanthology.org/D18-1196/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
46. [Distilling Knowledge for Search-based Structured Prediction](https://aclanthology.org/P18-1129/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
47. [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*
48. [Incremental Natural Language Processing: Challenges, Strategies, and Evaluation](https://aclanthology.org/C18-1253/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
49. [Neural Syntactic Generative Models with Exact Marginalization](https://aclanthology.org/N18-1086/) *— 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)*
50. [Neural Transition-based Syntactic Linearization](https://aclanthology.org/W18-6553/) *— 2018 · Proceedings of the 11th International Conference on Natural Language Generation*
51. [Sequence-to-Action: End-to-End Semantic Graph Generation for Semantic Parsing](https://aclanthology.org/P18-1071/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
52. [Sequence-to-sequence Models for Cache Transition Systems](https://aclanthology.org/P18-1171/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
53. [Surface Statistics of an Unknown Language Indicate How to Parse It](https://aclanthology.org/Q18-1046/) *— 2018 · Transactions of the Association for Computational Linguistics*
54. [Synthetic Data Made to Order: The Case of Parsing](https://aclanthology.org/D18-1163/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
55. [Two Local Models for Neural Constituent Parsing](https://aclanthology.org/C18-1011/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
56. [Uniform Information Density Effects on Syntactic Choice in Hindi](https://aclanthology.org/W18-4605/) *— 2018 · Proceedings of the Workshop on Linguistic Complexity and Natural Language Processing*
57. [A Full Non-Monotonic Transition System for Unrestricted Non-Projective Parsing](https://aclanthology.org/P17-1027/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
58. [AMR Parsing using Stack-LSTMs](https://aclanthology.org/D17-1130/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
59. [Dependency Parsing as Head Selection](https://aclanthology.org/E17-1063/) *— 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers*
60. [Don't Stop Me Now! Using Global Dynamic Oracles to Correct Training Biases of Transition-Based Dependency Parsers](https://aclanthology.org/E17-2051/) *— 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers*
61. [Fast(er) Exact Decoding and Global Training for Transition-Based Dependency Parsing via a Minimal Feature Set](https://aclanthology.org/D17-1002/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
62. [Greedy Transition-Based Dependency Parsing with Stack LSTMs](https://aclanthology.org/J17-2002/) *— 2017 · Computational Linguistics*
63. [Joining Hands: Exploiting Monolingual Treebanks for Parsing of Code-mixing Data](https://aclanthology.org/E17-2052/) *— 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers*
64. [Robust Incremental Neural Semantic Graph Parsing](https://aclanthology.org/P17-1112/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
65. [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*
66. [Transition-Based Disfluency Detection using LSTMs](https://aclanthology.org/D17-1296/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
67. [Transition-Based Generation from Abstract Meaning Representations](https://arxiv.org/abs/1707.07591) *— 2017 · arXiv:1707.07591*
68. [A House United: Bridging the Script and Lexical Barrier between Hindi and Urdu](https://aclanthology.org/C16-1039/) *— 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers*
69. [A Search-Based Dynamic Reranking Model for Dependency Parsing](https://aclanthology.org/P16-1132/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
70. [AMR Parsing with an Incremental Joint Model](https://aclanthology.org/D16-1065/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
71. [Efficient Structured Inference for Transition-Based Parsing with Neural Networks and Error States](https://aclanthology.org/Q16-1014/) *— 2016*
72. [Expected F-Measure Training for Shift-Reduce Parsing with Recurrent Neural Networks](https://aclanthology.org/N16-1025/) *— 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
73. [Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMs](https://aclanthology.org/K16-1019/) *— 2016 · Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning*
74. [Incremental Parsing with Minimal Features Using Bi-Directional LSTM](https://aclanthology.org/P16-2006/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
75. [One model, two languages: training bilingual parsers with harmonized treebanks](https://aclanthology.org/P16-2069/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
76. [Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations](https://md.mova.elamur.ai/free/en/docs/papers/narrative-2016-kiperwasser-simple-accurate-dependency-parsing-bidirectional/) *— our card · 2016*
77. [Training with Exploration Improves a Greedy Stack LSTM Parser](https://aclanthology.org/D16-1211/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
78. [Transition-Based Parsing for Deep Dependency Structures](https://aclanthology.org/J16-3001/) *— 2016 · Computational Linguistics*
79. [Zero-resource Dependency Parsing: Boosting Delexicalized Cross-lingual Transfer with Linguistic Knowledge](https://aclanthology.org/C16-1012/) *— 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers*
80. [A Bayesian Model for Generative Transition-based Dependency Parsing](https://aclanthology.org/W15-2108/) *— 2015 · Proceedings of the Third International Conference on Dependency Linguistics (Depling 2015)*
81. [A Linear-Time Transition System for Crossing Interval Trees](https://aclanthology.org/N15-1068/) *— 2015 · Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
82. [A Neural Probabilistic Structured-Prediction Model for Transition-Based Dependency Parsing](https://aclanthology.org/P15-1117/) *— 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)*
83. [A Primer on Neural Network Models for Natural Language Processing](https://arxiv.org/abs/1510.00726) *— 2015 · arXiv:1510.00726*
84. [A Transition-based Algorithm for AMR Parsing](https://aclanthology.org/N15-1040/) *— 2015 · Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
85. [An Efficient Dynamic Oracle for Unrestricted Non-Projective Parsing](https://aclanthology.org/P15-2042/) *— 2015 · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)*
86. [Generative Incremental Dependency Parsing with Neural Networks](https://aclanthology.org/P15-2142/) *— 2015 · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)*
87. [Improved Transition-Based Parsing and Tagging with Neural Networks](https://aclanthology.org/D15-1159/) *— 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing*
88. [Non-distributional Word Vector Representations](https://aclanthology.org/P15-2076/) *— 2015 · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)*
89. [Optimal Shift-Reduce Constituent Parsing with Structured Perceptron](https://aclanthology.org/P15-1148/) *— 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)*
90. [Structured Training for Neural Network Transition-Based Parsing](https://aclanthology.org/P15-1032/) *— 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)*
91. [Transition-Based Dependency Parsing with Stack Long Short-Term Memory](https://md.mova.elamur.ai/free/en/docs/papers/missing-2015-dyer-transition-based-dependency-parsing-stack/) *— our card · 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)*
92. [Transition-Based Syntactic Linearization](https://md.mova.elamur.ai/free/en/docs/papers/liu-2015-transition-based-syntactic-linearization/) *— our card · 2015 · Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
93. [Transition-based Dependency DAG Parsing Using Dynamic Oracles](https://aclanthology.org/P15-3004/) *— 2015 · Proceedings of the ACL-IJCNLP 2015 Student Research Workshop*
94. [Type-Driven Incremental Semantic Parsing with Polymorphism](https://aclanthology.org/N15-1162/) *— 2015 · Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
95. [A Tabular Method for Dynamic Oracles in Transition-Based Parsing](https://aclanthology.org/Q14-1010/) *— 2014*
96. [Character-Level Chinese Dependency Parsing](https://aclanthology.org/P14-1125/) *— 2014 · Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
97. [Grammatical Relations in Chinese: GB-Ground Extraction and Data-Driven Parsing](https://aclanthology.org/P14-1042/) *— 2014 · Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
98. [Joint Incremental Disfluency Detection and Dependency Parsing](https://aclanthology.org/Q14-1011/) *— 2014 · Transactions of the Association for Computational Linguistics*
99. [Jointly or Separately: Which is Better for Parsing Heterogeneous Dependencies?](https://aclanthology.org/C14-1051/) *— 2014 · Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers*
100. [Left-corner Transitions on Dependency Parsing](https://aclanthology.org/C14-1202/) *— 2014 · Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers*

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