---
title: "Who cites Algorithms for Deterministic Incremental…"
description: "The papers of the Elamur Research library that cite «Algorithms for Deterministic Incremental Dependency Parsing», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/narrative-2008-nivre-algorithms-deterministic-incremental-dependency-parsing/cited-by/"
---
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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.research.elamur.ai/free/en/papers/narrative-2008-nivre-algorithms-deterministic-incremental-dependency-parsing/)

Pages: **1** · [2](https://md.research.elamur.ai/free/en/papers/narrative-2008-nivre-algorithms-deterministic-incremental-dependency-parsing/cited-by/page/2/) · [3](https://md.research.elamur.ai/free/en/papers/narrative-2008-nivre-algorithms-deterministic-incremental-dependency-parsing/cited-by/page/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. [Implicit Word Reordering with Knowledge Distillation for Cross-Lingual Dependency Parsing](https://arxiv.org/abs/2502.17308) *— 2025 · arXiv:2502.17308*
3. [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*
4. [The Thai Universal Dependency Treebank](https://aclanthology.org/2025.tacl-1.18/) *— 2025*
5. [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*
6. [Exploring Semantics in Pretrained Language Model Attention](https://aclanthology.org/2024.starsem-1.26/) *— 2024 · Proceedings of the 13th Joint Conference on Lexical and Computational Semantics (*SEM 2024)*
7. [Human Performance in Incremental Dependency Parsing: Dependency Structure Annotations and their Analyses](https://aclanthology.org/2024.paclic-1.66/) *— 2024 · Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation*
8. [Integrating Supertag Features into Neural Discontinuous Constituent Parsing](https://arxiv.org/abs/2410.08766) *— 2024 · arXiv:2410.08766*
9. [Multipath parsing in the brain](https://aclanthology.org/2024.acl-long.660/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
10. [The Syntactic Acceptability Dataset (Preview): A Resource for Machine Learning and Linguistic Analysis of English](https://aclanthology.org/2024.lrec-main.1401/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
11. [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)*
12. [Assessment of Pre-Trained Models Across Languages and Grammars](https://aclanthology.org/2023.ijcnlp-main.23/) *— 2023 · Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
13. [End-to-end Dependency Parsing via Auto-regressive Large Language Model](https://aclanthology.org/2023.clicit-1.30/) *— 2023 · Proceedings of the Ninth Italian Conference on Computational Linguistics (CLiC-it 2023)*
14. [BERT-Based Sequence Labelling Approach for Dependency Parsing in Tamil](https://aclanthology.org/2022.dravidianlangtech-1.1/) *— 2022 · Proceedings of the Second Workshop on Speech and Language Technologies for Dravidian Languages*
15. [Iterative Span Selection: Self-Emergence of Resolving Orders in Semantic Role Labeling](https://aclanthology.org/2022.coling-1.478/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
16. [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*
17. [Nucleus Composition in Transition-based Dependency Parsing](https://md.research.elamur.ai/free/en/papers/ud-2022-nivre-nucleus-composition-transition-based-dependency/) *— our card · 2022*
18. [On Parsing as Tagging](https://aclanthology.org/2022.emnlp-main.607/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
19. [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*
20. [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*
21. [A Unified Encoding of Structures in Transition Systems](https://aclanthology.org/2021.emnlp-main.339/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
22. [Calculating the optimal step of arc-eager parsing for non-projective trees](https://aclanthology.org/2021.eacl-main.193/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
23. [Clause Final Verb Prediction in Hindi: Evidence for Noisy Channel Model of Communication](https://aclanthology.org/2021.cmcl-1.20/) *— 2021 · Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics*
24. [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)*
25. [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)*
26. [Transition-based Bubble Parsing: Improvements on Coordination Structure Prediction](https://md.research.elamur.ai/free/en/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)*
27. [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*
28. [A Simple and Effective Dependency Parser for Telugu](https://aclanthology.org/2020.acl-srw.19/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop*
29. [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*
30. [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*
31. [Comparing Neural Network Parsers for a Less-resourced and Morphologically-rich Language: Amharic Dependency Parser](https://md.research.elamur.ai/free/en/papers/aclbulk-2020-seyoum-comparing-neural-network-parsers-less/) *— our card · 2020 · Proceedings of the first workshop on Resources for African Indigenous Languages*
32. [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*
33. [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*
34. [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)*
35. [Inherent Dependency Displacement Bias of Transition-Based Algorithms](https://md.research.elamur.ai/free/en/papers/ud-2020-anderson-inherent-dependency-displacement-bias-transition/) *— our card · 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
36. [Semi-supervised Autoencoding Projective Dependency Parsing](https://aclanthology.org/2020.coling-main.344/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
37. [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*
38. [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*
39. [What Determines the Order of Verbal Dependents in Hindi? Effects of Efficiency in Comprehension and Production](https://aclanthology.org/2020.cmcl-1.1/) *— 2020 · Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics*
40. [What Should/Do/Can LSTMs Learn When Parsing Auxiliary Verb Constructions?](https://aclanthology.org/2020.cl-4.3/) *— 2020 · Computational Linguistics*
41. [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)*
42. [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*
43. [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*
44. [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)*
45. [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*
46. [Parallelizable Stack Long Short-Term Memory](https://aclanthology.org/W19-1501/) *— 2019 · Proceedings of the Third Workshop on Structured Prediction for NLP*
47. [Parsing Chinese Sentences with Grammatical Relations](https://aclanthology.org/J19-1003/) *— 2019 · Computational Linguistics*
48. [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*
49. [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)*
50. [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)*
51. [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*
52. [Semantic Expressive Capacity with Bounded Memory](https://aclanthology.org/P19-1008/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
53. [Sequential Graph Dependency Parser](https://aclanthology.org/R19-1153/) *— 2019 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019)*
54. [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*
55. [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)*
56. [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*
57. [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)*
58. [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)*
59. [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*
60. [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*
61. [Approximate Dynamic Oracle for Dependency Parsing with Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/ud-2018-yu-approximate-dynamic-oracle-dependency-parsing/) *— our card · 2018 · Proceedings of the Second Workshop on Universal Dependencies (UDW 2018)*
62. [Automatically Selecting the Best Dependency Annotation Design with Dynamic Oracles](https://md.research.elamur.ai/free/en/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)*
63. [Cache Transition Systems for Graph Parsing](https://aclanthology.org/J18-1004/) *— 2018 · Computational Linguistics*
64. [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*
65. [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)*
66. [Dynamic Feature Selection with Attention in Incremental Parsing](https://aclanthology.org/C18-1067/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
67. [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*
68. [Incremental Natural Language Processing: Challenges, Strategies, and Evaluation](https://aclanthology.org/C18-1253/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
69. [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)*
70. [Neural Transition Based Parsing of Web Queries: An Entity Based Approach](https://aclanthology.org/D18-1290/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
71. [Neural Transition-based Syntactic Linearization](https://aclanthology.org/W18-6553/) *— 2018 · Proceedings of the 11th International Conference on Natural Language Generation*
72. [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)*
73. [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)*
74. [Surface Statistics of an Unknown Language Indicate How to Parse It](https://aclanthology.org/Q18-1046/) *— 2018 · Transactions of the Association for Computational Linguistics*
75. [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*
76. [Two Local Models for Neural Constituent Parsing](https://aclanthology.org/C18-1011/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
77. [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*
78. [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)*
79. [AMR Parsing using Stack-LSTMs](https://aclanthology.org/D17-1130/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
80. [Arc-Standard Spinal Parsing with Stack-LSTMs](https://aclanthology.org/W17-6316/) *— 2017 · Proceedings of the 15th International Conference on Parsing Technologies*
81. [Bounded-Depth High-Coverage Search Space for Noncrossing Parses](https://aclanthology.org/W17-4004/) *— 2017 · Proceedings of the 13th International Conference on Finite State Methods and Natural Language Processing (FSMNLP 2017)*
82. [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*
83. [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*
84. [Enriching ASR Lattices with POS Tags for Dependency Parsing](https://aclanthology.org/W17-4605/) *— 2017 · Proceedings of the Workshop on Speech-Centric Natural Language Processing*
85. [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*
86. [Greedy Transition-Based Dependency Parsing with Stack LSTMs](https://aclanthology.org/J17-2002/) *— 2017 · Computational Linguistics*
87. [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*
88. [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)*
89. [The Covert Helps Parse the Overt](https://aclanthology.org/K17-1035/) *— 2017 · Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017)*
90. [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*
91. [Transition-Based Disfluency Detection using LSTMs](https://aclanthology.org/D17-1296/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
92. [Transition-Based Generation from Abstract Meaning Representations](https://arxiv.org/abs/1707.07591) *— 2017 · arXiv:1707.07591*
93. [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*
94. [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)*
95. [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*
96. [Efficient Structured Inference for Transition-Based Parsing with Neural Networks and Error States](https://aclanthology.org/Q16-1014/) *— 2016*
97. [Evaluating a Deterministic Shift-Reduce Neural Parser for Constituent Parsing](https://aclanthology.org/L16-1104/) *— 2016 · Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)*
98. [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*
99. [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*
100. [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)*

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