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# Who cites «Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations»

288 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-2016-kiperwasser-simple-accurate-dependency-parsing-bidirectional/)

Pages: **1** · [2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/narrative-2016-kiperwasser-simple-accurate-dependency-parsing-bidirectional-2/) · [3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/narrative-2016-kiperwasser-simple-accurate-dependency-parsing-bidirectional-3/)

1. [Detecting Primary Progressive Aphasia (PPA) from Text: A Benchmarking Study](https://aclanthology.org/2026.findings-eacl.19/) *— 2026 · Findings of the Association for Computational Linguistics: EACL 2026*
2. [Mapping the Course for Prompt-based Structured Prediction](https://aclanthology.org/2026.eacl-long.160/) *— 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
3. [UzUDT: Uzbek Universal Dependencies Treebank](https://aclanthology.org/2026.lrec-1.912/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
4. [Typology-aware Multilingual Morphosyntactic Parsing with Functional Node Filtering](https://aclanthology.org/2025.unidive-1.3/) *— 2025 · Proceedings of The UniDive 2025 Shared Task on Multilingual Morpho-Syntactic Parsing*
5. [A Truly Joint Neural Architecture for Segmentation and Parsing](https://md.mova.elamur.ai/free/en/docs/papers/eacl-2024-levi-truly-joint-neural-architecture-segmentation/) *— our card · 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
6. [Dependency Parser for Bulgarian](https://aclanthology.org/2024.clib-1.9/) *— 2024 · Proceedings of the Sixth International Conference on Computational Linguistics in Bulgaria (CLIB 2024)*
7. [Emergent Word Order Universals from Cognitively-Motivated Language Models](https://aclanthology.org/2024.acl-long.781/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
8. [MRL Parsing Without Tears: The Case of Hebrew](https://md.mova.elamur.ai/free/en/docs/papers/findings-2024-shmidman-mrl-parsing-without-tears-case/) *— our card · 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
9. [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*
10. [Compositional Generalization without Trees using Multiset Tagging and Latent Permutations](https://aclanthology.org/2023.acl-long.810/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
11. [Hexatagging: Projective Dependency Parsing as Tagging](https://md.mova.elamur.ai/free/en/docs/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)*
12. [Pushing the Limits of ChatGPT on NLP Tasks](https://arxiv.org/abs/2306.09719) *— 2023 · arXiv:2306.09719*
13. [Systematic Investigation of Strategies Tailored for Low-Resource Settings for Low-Resource Dependency Parsing](https://aclanthology.org/2023.eacl-main.158/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
14. [Using Modern Languages to Parse Ancient Ones: a Test on Old English](https://md.mova.elamur.ai/free/en/docs/papers/villa-2023-modern-languages-parse-ancient-ones/) *— our card · 2023 · Proceedings of the 5th Workshop on Research in Computational Linguistic Typology and Multilingual NLP*
15. [Automatic Correction of Syntactic Dependency Annotation Differences](https://aclanthology.org/2022.lrec-1.769/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
16. [Compositional generalization with a broad-coverage semantic parser](https://aclanthology.org/2022.starsem-1.4/) *— 2022 · Proceedings of the 11th Joint Conference on Lexical and Computational Semantics*
17. [Dependency Parsing as MRC-based Span-Span Prediction](https://aclanthology.org/2022.acl-long.173/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
18. [LAGr: Label Aligned Graphs for Better Systematic Generalization in Semantic Parsing](https://aclanthology.org/2022.acl-long.233/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
19. [Lexi: Self-Supervised Learning of the UI Language](https://aclanthology.org/2022.findings-emnlp.519/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
20. [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*
21. [Out-of-Domain Discourse Dependency Parsing via Bootstrapping: An Empirical Analysis on Its Effectiveness and Limitation](https://aclanthology.org/2022.tacl-1.8/) *— 2022 · Transactions of the Association for Computational Linguistics*
22. [The Norwegian Dialect Corpus Treebank](https://aclanthology.org/2022.lrec-1.516/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
23. [A Graph-Based Neural Model for End-to-End Frame Semantic Parsing](https://aclanthology.org/2021.emnlp-main.314/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
24. [A Modest Pareto Optimisation Analysis of Dependency Parsers in 2021](https://aclanthology.org/2021.iwpt-1.12/) *— 2021 · Proceedings of the 17th International Conference on Parsing Technologies and the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies (IWPT 2021)*
25. [Applying Occam''s Razor to Transformer-Based Dependency Parsing: What Works, What Doesn''t, and What is Really Necessary](https://md.mova.elamur.ai/free/en/docs/papers/grunewald-2021-applying-occam-s-razor-transformer/) *— our card · 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. [Comparing Knowledge-Intensive and Data-Intensive Models for English Resource Semantic Parsing](https://aclanthology.org/2021.cl-1.3/) *— 2021 · Computational Linguistics*
27. [Comparing learnability of two dependency schemes: `semantic'' (UD) and `syntactic'' (SUD)](https://aclanthology.org/2021.findings-emnlp.256/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
28. [End-to-End Argument Mining as Biaffine Dependency Parsing](https://aclanthology.org/2021.eacl-main.55/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
29. [Entity Relation Extraction as Dependency Parsing in Visually Rich Documents](https://aclanthology.org/2021.emnlp-main.218/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
30. [Evaluating Universal Dependency Parser Recovery of Predicate Argument Structure via CompChain Analysis](https://md.mova.elamur.ai/free/en/docs/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*
31. [Is Supervised Syntactic Parsing Beneficial for Language Understanding Tasks? An Empirical Investigation](https://aclanthology.org/2021.eacl-main.270/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
32. [Modeling Content and Context with Deep Relational Learning](https://aclanthology.org/2021.tacl-1.7/) *— 2021 · Transactions of the Association for Computational Linguistics*
33. [Supervised Neural Clustering via Latent Structured Output Learning: Application to Question Intents](https://aclanthology.org/2021.naacl-main.263/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
34. [Syntactic Nuclei in Dependency Parsing – A Multilingual Exploration](https://aclanthology.org/2021.eacl-main.117/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
35. [Syntax Role for Neural Semantic Role Labeling](https://aclanthology.org/2021.cl-3.17/) *— 2021 · Computational Linguistics*
36. [The DCU-EPFL Enhanced Dependency Parser at the IWPT 2021 Shared Task](https://aclanthology.org/2021.iwpt-1.22/) *— 2021 · Proceedings of the 17th International Conference on Parsing Technologies and the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies (IWPT 2021)*
37. [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)*
38. [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)*
39. [融合多粒度特征的低资源语言词性标记和依存分析联合模型(A Joint Model with Multi-Granularity Features of Low-resource Language POS Tagging and Dependency Parsing)](https://aclanthology.org/2021.ccl-1.67/) *— 2021 · Proceedings of the 20th Chinese National Conference on Computational Linguistics*
40. [A Graph-based Model for Joint Chinese Word Segmentation and Dependency Parsing](https://aclanthology.org/2020.tacl-1.6/) *— 2020 · Transactions of the Association for Computational Linguistics*
41. [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*
42. [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*
43. [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*
44. [Cross-Lingual Dependency Parsing via Self-Training](https://aclanthology.org/2020.ccl-1.75/) *— 2020 · Proceedings of the 19th Chinese National Conference on Computational Linguistics*
45. [Cross-Lingual Domain Adaptation for Dependency Parsing](https://aclanthology.org/2020.tlt-1.6/) *— 2020 · Proceedings of the 19th International Workshop on Treebanks and Linguistic Theories*
46. [Cross-lingual Semantic Representation for NLP with UCCA](https://md.mova.elamur.ai/free/en/docs/papers/abend-2020-cross-lingual-semantic-representation-nlp/) *— our card · 2020 · Proceedings of the 28th International Conference on Computational Linguistics: Tutorial Abstracts*
47. [Dependency Parsing for Urdu: Resources, Conversions and Learning](https://aclanthology.org/2020.lrec-1.640/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
48. [Efficient Second-Order TreeCRF for Neural Dependency Parsing](https://md.mova.elamur.ai/free/en/docs/papers/acl-2020-zhang-efficient-second-order-treecrf-neural/) *— our card · 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
49. [Evaluating and Enhancing the Robustness of Neural Network-based Dependency Parsing Models with Adversarial Examples](https://md.mova.elamur.ai/free/en/docs/papers/zheng-2020-evaluating-enhancing-robustness-neural-network/) *— our card · 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
50. [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*
51. [Fast and Accurate Non-Projective Dependency Tree Linearization](https://md.mova.elamur.ai/free/en/docs/papers/yu-2020-fast-accurate-non-projective-dependency/) *— our card · 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
52. [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)*
53. [From SPMRL to NMRL: What Did We Learn (and Unlearn) in a Decade of Parsing Morphologically-Rich Languages (MRLs)?](https://aclanthology.org/2020.acl-main.660/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
54. [Graph-to-Graph Transformer for Transition-based Dependency Parsing](https://md.mova.elamur.ai/free/en/docs/papers/ud-2020-mohammadshahi-graph-graph-transformer-transition-based/) *— our card · 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
55. [HUJI-KU at MRP 2020: Two Transition-based Neural Parsers](https://aclanthology.org/2020.conll-shared.7/) *— 2020 · Proceedings of the CoNLL 2020 Shared Task: Cross-Framework Meaning Representation Parsing*
56. [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*
57. [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*
58. [NSTM: Real-Time Query-Driven News Overview Composition at Bloomberg](https://aclanthology.org/2020.acl-demos.40/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations*
59. [Norm It! Lexical Normalization for Italian and Its Downstream Effects for Dependency Parsing](https://aclanthology.org/2020.lrec-1.769/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
60. [Parsing as Tagging](https://aclanthology.org/2020.lrec-1.643/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
61. [Representations of Syntax MASK Useful: Effects of Constituency and Dependency Structure in Recursive LSTMs](https://aclanthology.org/2020.acl-main.303/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
62. [Revisiting Higher-Order Dependency Parsers](https://aclanthology.org/2020.acl-main.776/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
63. [Second-Order Neural Dependency Parsing with Message Passing and End-to-End Training](https://aclanthology.org/2020.aacl-main.12/) *— 2020 · Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing*
64. [Semi-supervised Domain Adaptation for Dependency Parsing via Improved Contextualized Word Representations](https://aclanthology.org/2020.coling-main.338/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
65. [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*
66. [Span-based discontinuous constituency parsing: a family of exact chart-based algorithms with time complexities from O(n\textasciicircum6) down to O(n\textasciicircum3)](https://aclanthology.org/2020.emnlp-main.219/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
67. [The Treebank of Vedic Sanskrit](https://aclanthology.org/2020.lrec-1.632/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
68. [The Unstoppable Rise of Computational Linguistics in Deep Learning](https://aclanthology.org/2020.acl-main.561/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
69. [Transition-based Parsing with Stack-Transformers](https://aclanthology.org/2020.findings-emnlp.89/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
70. [Treebank Embedding Vectors for Out-of-Domain Dependency Parsing](https://aclanthology.org/2020.acl-main.778/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
71. [UDapter: Language Adaptation for Truly Universal Dependency Parsing](https://aclanthology.org/2020.emnlp-main.180/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
72. [VLSP 2020 Shared Task: Universal Dependency Parsing for Vietnamese](https://aclanthology.org/2020.vlsp-1.15/) *— 2020 · Proceedings of the 7th International Workshop on Vietnamese Language and Speech Processing*
73. [XL-AMR: Enabling Cross-Lingual AMR Parsing with Transfer Learning Techniques](https://aclanthology.org/2020.emnlp-main.195/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
74. [A Systematic Study of Leveraging Subword Information for Learning Word Representations](https://aclanthology.org/N19-1097/) *— 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)*
75. [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*
76. [A systematic comparison of methods for low-resource dependency parsing on genuinely low-resource languages](https://aclanthology.org/D19-1102/) *— 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)*
77. [AMR Parsing as Sequence-to-Graph Transduction](https://aclanthology.org/P19-1009/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
78. [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*
79. [Analysis Methods in Neural Language Processing: A Survey](https://aclanthology.org/Q19-1004/) *— 2019 · Transactions of the Association for Computational Linguistics*
80. [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)*
81. [CUNY-PKU Parser at SemEval-2019 Task 1: Cross-Lingual Semantic Parsing with UCCA](https://aclanthology.org/S19-2012/) *— 2019 · Proceedings of the 13th International Workshop on Semantic Evaluation*
82. [Characterizing the dynamics of learning in repeated reference games](https://arxiv.org/abs/1912.07199) *— 2019 · arXiv:1912.07199*
83. [Compositional Semantic Parsing across Graphbanks](https://aclanthology.org/P19-1450/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
84. [Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency Parsing](https://aclanthology.org/N19-1162/) *— 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)*
85. [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)*
86. [Dependency Parser for Bengali-English Code-Mixed Data enhanced with a Synthetic Treebank](https://aclanthology.org/W19-7810/) *— 2019 · Proceedings of the 18th International Workshop on Treebanks and Linguistic Theories (TLT, SyntaxFest 2019)*
87. [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*
88. [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*
89. [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)*
90. [Hierarchically-Refined Label Attention Network for Sequence Labeling](https://aclanthology.org/D19-1422/) *— 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)*
91. [How to Parse Low-Resource Languages: Cross-Lingual Parsing, Target Language Annotation, or Both?](https://aclanthology.org/W19-7713/) *— 2019 · Proceedings of the Fifth International Conference on Dependency Linguistics (Depling, SyntaxFest 2019)*
92. [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*
93. [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)*
94. [Made for Each Other: Broad-Coverage Semantic Structures Meet Preposition Supersenses](https://aclanthology.org/K19-1017/) *— 2019 · Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)*
95. [Multilingual is not enough: BERT for Finnish](https://arxiv.org/abs/1912.07076) *— 2019 · arXiv:1912.07076*
96. [Parallelizable Stack Long Short-Term Memory](https://aclanthology.org/W19-1501/) *— 2019 · Proceedings of the Third Workshop on Structured Prediction for NLP*
97. [Parsing Chinese Sentences with Grammatical Relations](https://aclanthology.org/J19-1003/) *— 2019 · Computational Linguistics*
98. [Recursive LSTM Tree Representation for Arc-Standard Transition-Based Dependency Parsing](https://md.mova.elamur.ai/free/en/docs/papers/ud-2019-elkaref-recursive-lstm-tree-representation-arc/) *— our card · 2019 · Proceedings of the Third Workshop on Universal Dependencies (UDW, SyntaxFest 2019)*
99. [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)*
100. [Reinforced Training Data Selection for Domain Adaptation](https://aclanthology.org/P19-1189/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*

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