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# Who cites «Three New Probabilistic Models for Dependency Parsing: An Exploration»

298 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/ast-1996-eisner-three-new-probabilistic-models-dependency/)

Pages: **1** · [2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ast-1996-eisner-three-new-probabilistic-models-dependency-2/) · [3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ast-1996-eisner-three-new-probabilistic-models-dependency-3/)

1. [Pre-annotation Matters: A Comparative Study on POS and Dependency Annotation for an Alsatian Dialect](https://md.mova.elamur.ai/free/en/docs/papers/bernhard-2025-pre-annotation-matters-comparative-study/) *— our card · 2025 · Proceedings of the 19th Linguistic Annotation Workshop (LAW-XIX-2025)*
2. [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*
3. [Discourse Relation Prediction and Discourse Parsing in Dialogues with Minimal Supervision](https://aclanthology.org/2024.codi-1.15/) *— 2024 · Proceedings of the 5th Workshop on Computational Approaches to Discourse (CODI 2024)*
4. [What Does Parameter-free Probing Really Uncover?](https://aclanthology.org/2024.acl-short.31/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
5. [Another Dead End for Morphological Tags? Perturbed Inputs and Parsing](https://aclanthology.org/2023.findings-acl.459/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
6. [Discourse Structure Extraction from Pre-Trained and Fine-Tuned Language Models in Dialogues](https://aclanthology.org/2023.findings-eacl.194/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
7. [Simple Hardware-Efficient PCFGs with Independent Left and Right Productions](https://aclanthology.org/2023.findings-emnlp.113/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
8. [Enhancing Structure-aware Encoder with Extremely Limited Data for Graph-based Dependency Parsing](https://aclanthology.org/2022.coling-1.483/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
9. [Headed-Span-Based Projective Dependency Parsing](https://aclanthology.org/2022.acl-long.155/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
10. [Semantic Role Labeling as Dependency Parsing: Exploring Latent Tree Structures inside Arguments](https://aclanthology.org/2022.coling-1.370/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
11. [Towards More Natural Artificial Languages](https://aclanthology.org/2022.conll-1.7/) *— 2022 · Proceedings of the 26th Conference on Computational Natural Language Learning (CoNLL)*
12. [Towards Understanding Large-Scale Discourse Structures in Pre-Trained and Fine-Tuned Language Models](https://aclanthology.org/2022.naacl-main.170/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
13. [Un algorithme d'analyse sémantique fondée sur les graphes via le problème de l'arborescence généralisée couvrante (A graph-based semantic parsing algorithm via the generalized spanning arborescence problem)](https://aclanthology.org/2022.jeptalnrecital-taln.22/) *— 2022 · Actes de la 29e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale*
14. [Adapting Unsupervised Syntactic Parsing Methodology for Discourse Dependency Parsing](https://aclanthology.org/2021.acl-long.449/) *— 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)*
15. [Dependency Parsing Evaluation for Low-resource Spontaneous Speech](https://md.mova.elamur.ai/free/en/docs/papers/ud-2021-liu-dependency-parsing-evaluation-low-resource/) *— our card · 2021 · Proceedings of the Second Workshop on Domain Adaptation for NLP*
16. [Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTa](https://aclanthology.org/2021.naacl-main.146/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
17. [Domain-Aware Dependency Parsing for Questions](https://md.mova.elamur.ai/free/en/docs/papers/garimella-2021-domain-aware-dependency-parsing-questions/) *— our card · 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
18. [Linguistic Dependencies and Statistical Dependence](https://aclanthology.org/2021.emnlp-main.234/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
19. [N-LTP: An Open-source Neural Language Technology Platform for Chinese](https://aclanthology.org/2021.emnlp-demo.6/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations*
20. [PPT: Parsimonious Parser Transfer for Unsupervised Cross-Lingual Adaptation](https://aclanthology.org/2021.eacl-main.254/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
21. [Predicting Discourse Trees from Transformer-based Neural Summarizers](https://aclanthology.org/2021.naacl-main.326/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
22. [Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement](https://md.mova.elamur.ai/free/en/docs/papers/ud-2021-mohammadshahi-recursive-non-autoregressive-graph-graph/) *— our card · 2021*
23. [Extracting Headless MWEs from Dependency Parse Trees: Parsing, Tagging, and Joint Modeling Approaches](https://md.mova.elamur.ai/free/en/docs/papers/acl-2020-shi-extracting-headless-mwes-dependency-parse/) *— our card · 2020*
24. [Integrating Graph-Based and Transition-Based Dependency Parsers in the Deep Contextualized Era](https://md.mova.elamur.ai/free/en/docs/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*
25. [Multitask Easy-First Dependency Parsing: Exploiting Complementarities of Different Dependency Representations](https://aclanthology.org/2020.coling-main.225/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
26. [Parsing as Tagging](https://aclanthology.org/2020.lrec-1.643/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
27. [Perturbed Masking: Parameter-free Probing for Analyzing and Interpreting BERT](https://aclanthology.org/2020.acl-main.383/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
28. [Semantic Role Labeling as Syntactic Dependency Parsing](https://md.mova.elamur.ai/free/en/docs/papers/shi-2020-semantic-role-labeling-as-syntactic/) *— our card · 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
29. [A neural joint model for Vietnamese word segmentation, POS tagging and dependency parsing](https://aclanthology.org/U19-1004/) *— 2019 · Proceedings of the 17th Annual Workshop of the Australasian Language Technology Association*
30. [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*
31. [Bayesian Learning for Neural Dependency Parsing](https://aclanthology.org/N19-1354/) *— 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)*
32. [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)*
33. [Graph-based Dependency Parsing with Graph Neural Networks](https://aclanthology.org/P19-1237/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
34. [Hierarchical Pointer Net Parsing](https://aclanthology.org/D19-1093/) *— 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)*
35. [Information-theoretic locality properties of natural language](https://aclanthology.org/W19-7902/) *— 2019 · Proceedings of the First Workshop on Quantitative Syntax (Quasy, SyntaxFest 2019)*
36. [Learning Latent Trees with Stochastic Perturbations and Differentiable Dynamic Programming](https://aclanthology.org/P19-1551/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
37. [Leveraging Dependency Forest for Neural Medical Relation Extraction](https://aclanthology.org/D19-1020/) *— 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)*
38. [Low-Resource Syntactic Transfer with Unsupervised Source Reordering](https://aclanthology.org/N19-1385/) *— 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)*
39. [Multi-Task Semantic Dependency Parsing with Policy Gradient for Learning Easy-First Strategies](https://aclanthology.org/P19-1232/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
40. [Parsing Chinese Sentences with Grammatical Relations](https://aclanthology.org/J19-1003/) *— 2019 · Computational Linguistics*
41. [Phylogenic Multi-Lingual Dependency Parsing](https://aclanthology.org/N19-1017/) *— 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)*
42. [Representation Learning and Dynamic Programming for Arc-Hybrid Parsing](https://aclanthology.org/K19-1023/) *— 2019 · Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)*
43. [Representation and parsing of multiword expressions: Current trends](https://doi.org/10.5281/zenodo.2579017) *— 2019 · edited-volume*
44. [Syntactic dependencies correspond to word pairs with high mutual information](https://aclanthology.org/W19-7703/) *— 2019 · Proceedings of the Fifth International Conference on Dependency Linguistics (Depling, SyntaxFest 2019)*
45. [The (Non-)Utility of Structural Features in BiLSTM-based Dependency Parsers](https://aclanthology.org/P19-1012/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
46. [UniParse: A universal graph-based parsing toolkit](https://aclanthology.org/W19-6149/) *— 2019 · Proceedings of the 22nd Nordic Conference on Computational Linguistics*
47. [A Dependency Perspective on RST Discourse Parsing and Evaluation](https://md.mova.elamur.ai/free/en/docs/papers/morey-2018-dependency-perspective-rst-discourse-parsing/) *— our card · 2018*
48. [A Framework for Understanding the Role of Morphology in Universal Dependency Parsing](https://aclanthology.org/D18-1312/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
49. [An Improved Neural Network Model for Joint POS Tagging and Dependency Parsing](https://aclanthology.org/K18-2008/) *— 2018 · Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies*
50. [Backpropagating through Structured Argmax using a SPIGOT](https://aclanthology.org/P18-1173/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
51. [Dependency-based Hybrid Trees for Semantic Parsing](https://aclanthology.org/D18-1265/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
52. [Global Transition-based Non-projective Dependency Parsing](https://aclanthology.org/P18-1248/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
53. [On Difficulties of Cross-Lingual Transfer with Order Differences: A Case Study on Dependency Parsing](https://arxiv.org/abs/1811.00570) *— 2018 · arXiv:1811.00570*
54. [Stack-Pointer Networks for Dependency Parsing](https://aclanthology.org/P18-1130/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
55. [Surface Statistics of an Unknown Language Indicate How to Parse It](https://aclanthology.org/Q18-1046/) *— 2018 · Transactions of the Association for Computational Linguistics*
56. [Valency-Augmented Dependency Parsing](https://aclanthology.org/D18-1159/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
57. [A Novel Neural Network Model for Joint POS Tagging and Graph-based Dependency Parsing](https://aclanthology.org/K17-3014/) *— 2017 · Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies*
58. [CRF Autoencoder for Unsupervised Dependency Parsing](https://aclanthology.org/D17-1171/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
59. [Combining Global Models for Parsing Universal Dependencies](https://aclanthology.org/K17-3003/) *— 2017 · Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies*
60. [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*
61. [Generic Axiomatization of Families of Noncrossing Graphs in Dependency Parsing](https://aclanthology.org/P17-1160/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
62. [Hybrid Grammars for Parsing of Discontinuous Phrase Structures and Non-Projective Dependency Structures](https://aclanthology.org/J17-3001/) *— 2017*
63. [Incremental Graph-based Neural Dependency Parsing](https://aclanthology.org/D17-1173/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
64. [Parsing to 1-Endpoint-Crossing, Pagenumber-2 Graphs](https://aclanthology.org/P17-1193/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
65. [Quasi-Second-Order Parsing for 1-Endpoint-Crossing, Pagenumber-2 Graphs](https://aclanthology.org/D17-1003/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
66. [Semantic Dependency Parsing via Book Embedding](https://aclanthology.org/P17-1077/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
67. [Automatic Cross-Lingual Similarization of Dependency Grammars for Tree-based Machine Translation](https://md.mova.elamur.ai/free/en/docs/papers/jiang-2016-automatic-cross-lingual-similarization-dependency/) *— our card · 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
68. [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*
69. [Easy-First Dependency Parsing with Hierarchical Tree LSTMs](https://aclanthology.org/Q16-1032/) *— 2016*
70. [Inside-Outside and Forward-Backward Algorithms Are Just Backprop (tutorial paper)](https://aclanthology.org/W16-5901/) *— 2016 · Proceedings of the Workshop on Structured Prediction for NLP*
71. [Integer Linear Programming for Discourse Parsing](https://aclanthology.org/N16-1013/) *— 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
72. [Integrating Selectional Constraints and Subcategorization Frames in a Dependency Parser](https://aclanthology.org/J16-1002/) *— 2016 · Computational Linguistics*
73. [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)*
74. [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*
75. [Top-down Tree Long Short-Term Memory Networks](https://aclanthology.org/N16-1035/) *— 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
76. [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)*
77. [A Data-Driven, Factorization Parser for CCG Dependency Structures](https://aclanthology.org/P15-1149/) *— 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)*
78. [A convex and feature-rich discriminative approach to dependency grammar induction](https://aclanthology.org/P15-1133/) *— 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)*
79. [An Effective Neural Network Model for Graph-based Dependency Parsing](https://aclanthology.org/P15-1031/) *— 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)*
80. [An Empirical Analysis of Optimization for Max-Margin NLP](https://aclanthology.org/D15-1032/) *— 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing*
81. [Approximation-Aware Dependency Parsing by Belief Propagation](https://aclanthology.org/Q15-1035/) *— 2015 · Transactions of the Association for Computational Linguistics*
82. [CODRA: A Novel Discriminative Framework for Rhetorical Analysis](https://aclanthology.org/J15-3002/) *— 2015 · Computational Linguistics*
83. [Dependency Parsing with Graph Rewriting](https://aclanthology.org/W15-2204/) *— 2015 · Proceedings of the 14th International Conference on Parsing Technologies*
84. [Discourse parsing for multi-party chat dialogues](https://aclanthology.org/D15-1109/) *— 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing*
85. [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*
86. [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*
87. [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)*
88. [Hierarchical Low-Rank Tensors for Multilingual Transfer Parsing](https://aclanthology.org/D15-1213/) *— 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing*
89. [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*
90. [Identifying Cascading Errors using Constraints in Dependency Parsing](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2015-ng-identifying-cascading-errors-constraints-dependency/) *— 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)*
91. [Parsing Paraphrases with Joint Inference](https://aclanthology.org/P15-1118/) *— 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. [Parsing as Reduction](https://aclanthology.org/P15-1147/) *— 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)*
93. [The complexity of finding the maximum spanning DAG and other restrictions for DAG parsing of natural language](https://aclanthology.org/S15-1031/) *— 2015 · Proceedings of the Fourth Joint Conference on Lexical and Computational Semantics*
94. [Unsupervised Dependency Parsing: Let''s Use Supervised Parsers](https://aclanthology.org/N15-1067/) *— 2015 · Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
95. [A Dependency Parser for Tweets](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2014-kong-dependency-parser-tweets/) *— our card · 2014 · Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
96. [A chance-corrected measure of inter-annotator agreement for syntax](https://aclanthology.org/P14-1088/) *— 2014 · Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
97. [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)*
98. [Less Grammar, More Features](https://aclanthology.org/P14-1022/) *— 2014 · Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
99. [Phrase Dependency Machine Translation with Quasi-Synchronous Tree-to-Tree Features](https://aclanthology.org/J14-2005/) *— 2014 · Computational Linguistics*
100. [Squibs: Constrained Arc-Eager Dependency Parsing](https://aclanthology.org/J14-2001/) *— 2014 · Computational Linguistics*

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