---
title: "Who cites A Tale of Two Parsers: Investigating and…"
description: "The papers of the Elamur Research library that cite «A Tale of Two Parsers: Investigating and Combining Graph-based and Transition-based Dependency…"
canonical: "https://research.elamur.ai/free/en/papers/zhang-2008-tale-two-parsers-investigating-combining/cited-by/"
---
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# Who cites «A Tale of Two Parsers: Investigating and Combining Graph-based and Transition-based Dependency Parsing»

163 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/zhang-2008-tale-two-parsers-investigating-combining/)

Pages: **1** · [2](https://md.research.elamur.ai/free/en/papers/zhang-2008-tale-two-parsers-investigating-combining/cited-by/page/2/)

1. [Hexatagging: Projective Dependency Parsing as Tagging](https://md.research.elamur.ai/free/en/papers/acl-2023-amini-hexatagging-projective-dependency-parsing-as/) *— our card · 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
2. [Linear-Time Modeling of Linguistic Structure: An Order-Theoretic Perspective](https://aclanthology.org/2023.emnlp-main.52/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
3. [Algorithms for Weighted Pushdown Automata](https://aclanthology.org/2022.emnlp-main.656/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
4. [Autoregressive Structured Prediction with Language Models](https://aclanthology.org/2022.findings-emnlp.70/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
5. [Challenges to Open-Domain Constituency Parsing](https://aclanthology.org/2022.findings-acl.11/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
6. [Dependency Parsing with Backtracking using Deep Reinforcement Learning](https://aclanthology.org/2022.tacl-1.52/) *— 2022 · Transactions of the Association for Computational Linguistics*
7. [Multi-Layer Pseudo-Siamese Biaffine Model for Dependency Parsing](https://aclanthology.org/2022.coling-1.486/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
8. [Evaluating Universal Dependency Parser Recovery of Predicate Argument Structure via CompChain Analysis](https://md.research.elamur.ai/free/en/papers/ud-2021-indurkhya-evaluating-universal-dependency-parser-recovery/) *— our card · 2021 · Proceedings of *SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics*
9. [Graph-Based Decoding for Task Oriented Semantic Parsing](https://aclanthology.org/2021.findings-emnlp.341/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
10. [Unsupervised Domain Adaptation Method with Semantic-Structural Alignment for Dependency Parsing](https://aclanthology.org/2021.findings-emnlp.186/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
11. [A Tale of Three Parsers: Towards Diagnostic Evaluation for Meaning Representation Parsing](https://aclanthology.org/2020.lrec-1.234/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
12. [An Empirical Investigation of Beam-Aware Training in Supertagging](https://aclanthology.org/2020.findings-emnlp.406/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
13. [Implementing Bi-LSTM-based deep biaffine neural dependency parser for Vietnamese Universal Dependency Parsing](https://aclanthology.org/2020.vlsp-1.12/) *— 2020 · Proceedings of the 7th International Workshop on Vietnamese Language and Speech Processing*
14. [Integrating Graph-Based and Transition-Based Dependency Parsers in the Deep Contextualized Era](https://md.research.elamur.ai/free/en/papers/ud-2020-falenska-integrating-graph-based-transition-based/) *— our card · 2020 · Proceedings of the 16th International Conference on Parsing Technologies and the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies*
15. [Self Attended Stack-Pointer Networks for Learning Long Term Dependencies](https://aclanthology.org/2020.icon-main.12/) *— 2020 · Proceedings of the 17th International Conference on Natural Language Processing (ICON)*
16. [An Empirical Investigation of Structured Output Modeling for Graph-based Neural Dependency Parsing](https://aclanthology.org/P19-1562/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
17. [Association Metrics in Neural Transition-Based Dependency Parsing](https://aclanthology.org/W19-7722/) *— 2019 · Proceedings of the Fifth International Conference on Dependency Linguistics (Depling, SyntaxFest 2019)*
18. [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)*
19. [Frequency vs. Association for Constraint Selection in Usage-Based Construction Grammar](https://aclanthology.org/W19-2913/) *— 2019 · Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics*
20. [Head-Driven Phrase Structure Grammar Parsing on Penn Treebank](https://aclanthology.org/P19-1230/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
21. [Neural Generative Rhetorical Structure Parsing](https://aclanthology.org/D19-1233/) *— 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)*
22. [Parsing Chinese Sentences with Grammatical Relations](https://aclanthology.org/J19-1003/) *— 2019 · Computational Linguistics*
23. [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)*
24. [Seq2seq Dependency Parsing](https://aclanthology.org/C18-1271/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
25. [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*
26. [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*
27. [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*
28. [Greedy Transition-Based Dependency Parsing with Stack LSTMs](https://aclanthology.org/J17-2002/) *— 2017 · Computational Linguistics*
29. [IMS at the CoNLL 2017 UD Shared Task: CRFs and Perceptrons Meet Neural Networks](https://md.research.elamur.ai/free/en/papers/ud-2017-bjorkelund-ims-conll-2017-ud-shared/) *— our card · 2017 · Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies*
30. [Neural Joint Model for Transition-based Chinese Syntactic Analysis](https://aclanthology.org/P17-1111/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
31. [A Universal Framework for Inductive Transfer Parsing across Multi-typed Treebanks](https://aclanthology.org/C16-1002/) *— 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers*
32. [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*
33. [An empirical study for Vietnamese dependency parsing](https://aclanthology.org/U16-1017/) *— 2016 · Proceedings of the Australasian Language Technology Association Workshop 2016*
34. [Distilling an Ensemble of Greedy Dependency Parsers into One MST Parser](https://aclanthology.org/D16-1180/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
35. [Easy-First Dependency Parsing with Hierarchical Tree LSTMs](https://aclanthology.org/Q16-1032/) *— 2016*
36. [Effective Greedy Inference for Graph-based Non-Projective Dependency Parsing](https://aclanthology.org/D16-1068/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
37. [Efficient Structured Inference for Transition-Based Parsing with Neural Networks and Error States](https://aclanthology.org/Q16-1014/) *— 2016*
38. [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*
39. [Exploiting Mutual Benefits between Syntax and Semantic Roles using Neural Network](https://aclanthology.org/D16-1098/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
40. [Graph-based Dependency Parsing with Bidirectional LSTM](https://aclanthology.org/P16-1218/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
41. [How to Train Dependency Parsers with Inexact Search for Joint Sentence Boundary Detection and Parsing of Entire Documents](https://aclanthology.org/P16-1181/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
42. [LSTM Shift-Reduce CCG Parsing](https://aclanthology.org/D16-1181/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
43. [Ne nous arrêtons pas en si bon chemin : améliorations de l”apprentissage global d”analyseurs en dépendances par transition (Don”t Stop Me Now ! Improved Update Strategies for Global Training of Transition-Based)](https://aclanthology.org/2016.jeptalnrecital-long.19/) *— 2016 · Actes de la conférence conjointe JEP-TALN-RECITAL 2016. volume 2 : TALN (Articles longs)*
44. [Neural Network for Heterogeneous Annotations](https://aclanthology.org/D16-1070/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
45. [Noise reduction and targeted exploration in imitation learning for Abstract Meaning Representation parsing](https://aclanthology.org/P16-1001/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
46. [Probabilistic Graph-based Dependency Parsing with Convolutional Neural Network](https://aclanthology.org/P16-1131/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
47. [Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations](https://md.research.elamur.ai/free/en/papers/narrative-2016-kiperwasser-simple-accurate-dependency-parsing-bidirectional/) *— our card · 2016*
48. [Towards Accurate and Efficient Chinese Part-of-Speech Tagging](https://aclanthology.org/J16-3002/) *— 2016 · Computational Linguistics*
49. [Transition-Based Dependency Parsing with Heuristic Backtracking](https://aclanthology.org/D16-1254/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
50. [Transition-Based Parsing for Deep Dependency Structures](https://aclanthology.org/J16-3001/) *— 2016 · Computational Linguistics*
51. [Transition-based dependency parsing with topological fields](https://aclanthology.org/P16-2001/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
52. [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)*
53. [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*
54. [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)*
55. [A Re-ranking Model for Dependency Parser with Recursive Convolutional Neural Network](https://aclanthology.org/P15-1112/) *— 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)*
56. [An Automatic Machine Translation Evaluation Metric Based on Dependency Parsing Model](https://arxiv.org/abs/1508.01996) *— 2015 · arXiv:1508.01996*
57. [Combining Discrete and Continuous Features for Deterministic Transition-based Dependency Parsing](https://aclanthology.org/D15-1153/) *— 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing*
58. [Efficient Disfluency Detection with Transition-based Parsing](https://aclanthology.org/P15-1048/) *— 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)*
59. [Efficient Inner-to-outer Greedy Algorithm for Higher-order Labeled Dependency Parsing](https://aclanthology.org/D15-1154/) *— 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing*
60. [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)*
61. [High-order Graph-based Neural Dependency Parsing](https://aclanthology.org/Y15-1014/) *— 2015 · Proceedings of the 29th Pacific Asia Conference on Language, Information and Computation*
62. [Improved Transition-based Parsing by Modeling Characters instead of Words with LSTMs](https://aclanthology.org/D15-1041/) *— 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing*
63. [Joint Event Trigger Identification and Event Coreference Resolution with Structured Perceptron](https://aclanthology.org/D15-1247/) *— 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing*
64. [Non-Deterministic Oracles for Unrestricted Non-Projective Transition-Based Dependency Parsing](https://aclanthology.org/W15-2210/) *— 2015 · Proceedings of the 14th International Conference on Parsing Technologies*
65. [Reducing Lexical Features in Parsing by Word Embeddings](https://aclanthology.org/Y15-1013/) *— 2015 · Proceedings of the 29th Pacific Asia Conference on Language, Information and Computation*
66. [Shift-Reduce Constituency Parsing with Dynamic Programming and POS Tag Lattice](https://aclanthology.org/N15-1108/) *— 2015 · Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
67. [Stacking or Supertagging for Dependency Parsing – What's the Difference?](https://aclanthology.org/W15-2215/) *— 2015 · Proceedings of the 14th International Conference on Parsing Technologies*
68. [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)*
69. [Transition-Based Dependency Parsing with Stack Long Short-Term Memory](https://md.research.elamur.ai/free/en/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)*
70. [Transition-based Dependency Parsing Using Two Heterogeneous Gated Recursive Neural Networks](https://aclanthology.org/D15-1215/) *— 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing*
71. [A Fast and Accurate Dependency Parser using Neural Networks](https://md.research.elamur.ai/free/en/papers/missing-2014-chen-fast-accurate-dependency-parser-neural/) *— our card · 2014 · Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
72. [A Tabular Method for Dynamic Oracles in Transition-Based Parsing](https://aclanthology.org/Q14-1010/) *— 2014*
73. [Automatic Feature Selection for Agenda-Based Dependency Parsing](https://aclanthology.org/C14-1076/) *— 2014 · Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers*
74. [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)*
75. [Dependency Parsing for Weibo: An Efficient Probabilistic Logic Programming Approach](https://aclanthology.org/D14-1122/) *— 2014 · Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
76. [Enforcing Structural Diversity in Cube-pruned Dependency Parsing](https://aclanthology.org/P14-2107/) *— 2014 · Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
77. [Feature Embedding for Dependency Parsing](https://aclanthology.org/C14-1078/) *— 2014 · Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers*
78. [Greed is Good if Randomized: New Inference for Dependency Parsing](https://aclanthology.org/D14-1109/) *— 2014 · Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
79. [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*
80. [Learning Structured Perceptrons for Coreference Resolution with Latent Antecedents and Non-local Features](https://aclanthology.org/P14-1005/) *— 2014 · Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
81. [Multi-view Chinese Treebanking](https://aclanthology.org/C14-1026/) *— 2014 · Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers*
82. [On WordNet Semantic Classes and Dependency Parsing](https://aclanthology.org/P14-2106/) *— 2014 · Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
83. [Projecting the Knowledge Graph to Syntactic Parsing](https://aclanthology.org/E14-4006/) *— 2014 · Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2: Short Papers*
84. [Punctuation Processing for Projective Dependency Parsing](https://aclanthology.org/P14-2128/) *— 2014 · Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
85. [Regularized Structured Perceptron: A Case Study on Chinese Word Segmentation, POS Tagging and Parsing](https://aclanthology.org/E14-1018/) *— 2014 · Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics*
86. [Shift-Reduce CCG Parsing with a Dependency Model](https://aclanthology.org/P14-1021/) *— 2014 · Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
87. [Squibs: Arc-Eager Parsing with the Tree Constraint](https://aclanthology.org/J14-2002/) *— 2014 · Computational Linguistics*
88. [Squibs: Constrained Arc-Eager Dependency Parsing](https://aclanthology.org/J14-2001/) *— 2014 · Computational Linguistics*
89. [Syntactic Processing Using Global Discriminative Learning and Beam-Search Decoding](https://aclanthology.org/P14-6008/) *— 2014 · Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics: Tutorials*
90. [A Dataset of Syntactic-Ngrams over Time from a Very Large Corpus of English Books](https://aclanthology.org/S13-1035/) *— 2013 · Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 1: Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity*
91. [A Dynamic Confusion Score for Dependency Arc Labels](https://aclanthology.org/I13-1176/) *— 2013 · Proceedings of the Sixth International Joint Conference on Natural Language Processing*
92. [A Non-Monotonic Arc-Eager Transition System for Dependency Parsing](https://md.research.elamur.ai/free/en/papers/lingbulk-2013-honnibal-non-monotonic-arc-eager-transition/) *— our card · 2013 · Proceedings of the Seventeenth Conference on Computational Natural Language Learning*
93. [A Shift-Reduce Parsing Algorithm for Phrase-based String-to-Dependency Translation](https://aclanthology.org/P13-1001/) *— 2013 · Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
94. [A Transition-Based Dependency Parser Using a Dynamic Parsing Strategy](https://aclanthology.org/P13-1014/) *— 2013 · Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
95. [Branch and Bound Algorithm for Dependency Parsing with Non-local Features](https://aclanthology.org/Q13-1004/) *— 2013 · Transactions of the Association for Computational Linguistics*
96. [Chinese Parsing Exploiting Characters](https://aclanthology.org/P13-1013/) *— 2013 · Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
97. [Data-driven, PCFG-based and Pseudo-PCFG-based Models for Chinese Dependency Parsing](https://aclanthology.org/Q13-1025/) *— 2013 · Transactions of the Association for Computational Linguistics*
98. [Divisible Transition Systems and Multiplanar Dependency Parsing](https://aclanthology.org/J13-4002/) *— 2013 · Computational Linguistics*
99. [Efficient Implementation of Beam-Search Incremental Parsers](https://aclanthology.org/P13-2111/) *— 2013 · Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
100. [Efficient Stacked Dependency Parsing by Forest Reranking](https://aclanthology.org/Q13-1012/) *— 2013 · Transactions of the Association for Computational Linguistics*

Pages: **1** · [2](https://md.research.elamur.ai/free/en/papers/zhang-2008-tale-two-parsers-investigating-combining/cited-by/page/2/)