---
title: "Who cites Transition-Based Dependency Parsing with Stack…"
description: "The papers of the Elamur Research library that cite «Transition-Based Dependency Parsing with Stack Long Short-Term Memory», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/missing-2015-dyer-transition-based-dependency-parsing-stack/cited-by/"
---
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# Who cites «Transition-Based Dependency Parsing with Stack Long Short-Term Memory»

304 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/missing-2015-dyer-transition-based-dependency-parsing-stack/)

Pages: **1** · [2](https://md.research.elamur.ai/free/en/papers/missing-2015-dyer-transition-based-dependency-parsing-stack/cited-by/page/2/) · [3](https://md.research.elamur.ai/free/en/papers/missing-2015-dyer-transition-based-dependency-parsing-stack/cited-by/page/3/) · [4](https://md.research.elamur.ai/free/en/papers/missing-2015-dyer-transition-based-dependency-parsing-stack/cited-by/page/4/)

1. [Effective Multi-Task Learning for Biomedical Named Entity Recognition](https://aclanthology.org/2025.bionlp-1.20/) *— 2025 · Proceedings of the 24th Workshop on Biomedical Language Processing*
2. [High-Accuracy Transition-Based Constituency Parsing](https://aclanthology.org/2025.iwpt-1.4/) *— 2025 · Proceedings of the 18th International Conference on Parsing Technologies (IWPT, SyntaxFest 2025)*
3. [Investigating Psychometric Predictive Power of Syntactic Attention](https://aclanthology.org/2025.conll-1.27/) *— 2025 · Proceedings of the 29th Conference on Computational Natural Language Learning*
4. [Scaling Graph-Based Dependency Parsing with Arc Vectorization and Attention-Based Refinement](https://aclanthology.org/2025.naacl-short.60/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers)*
5. [Step-by-step Instructions and a Simple Tabular Output Format Improve the Dependency Parsing Accuracy of LLMs](https://md.research.elamur.ai/free/en/papers/matsuda-2025-step-step-instructions-simple-tabular/) *— our card · 2025 · Proceedings of the 18th International Conference on Parsing Technologies (IWPT, SyntaxFest 2025)*
6. [Generative Pretrained Structured Transformers: Unsupervised Syntactic Language Models at Scale](https://aclanthology.org/2024.acl-long.145/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
7. [Medical Dialogue System: A Survey of Categories, Methods, Evaluation and Challenges](https://aclanthology.org/2024.findings-acl.167/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
8. [ACRoBat: Optimizing Auto-batching of Dynamic Deep Learning at Compile Time](https://arxiv.org/abs/2305.10611) *— 2023 · arXiv:2305.10611*
9. [How Much Syntactic Supervision is “Good Enough”?](https://aclanthology.org/2023.findings-eacl.173/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
10. [Pushing the Limits of ChatGPT on NLP Tasks](https://arxiv.org/abs/2306.09719) *— 2023 · arXiv:2306.09719*
11. [Recurrent Neural Network CCG Parser](https://aclanthology.org/2023.naloma-1.4/) *— 2023 · Proceedings of the 4th Natural Logic Meets Machine Learning Workshop*
12. [Recurrent Neural Network CCG構文解析器の実装](https://www.anlp.jp/proceedings/annual_meeting/2023/#C1-2) *— 2023 · 言語処理学会 第29回年次大会 発表論文集 (NLP2023)*
13. [SpEL: Structured Prediction for Entity Linking](https://aclanthology.org/2023.emnlp-main.686/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
14. [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*
15. [Transformers as Graph-to-Graph Models](https://aclanthology.org/2023.bigpicture-1.8/) *— 2023 · Proceedings of the Big Picture Workshop*
16. [A Generative Model for End-to-End Argument Mining with Reconstructed Positional Encoding and Constrained Pointer Mechanism](https://aclanthology.org/2022.emnlp-main.713/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
17. [ANEC: An Amharic Named Entity Corpus and Transformer Based Recognizer](https://arxiv.org/abs/2207.00785) *— 2022 · arXiv:2207.00785*
18. [Composition, Attention, or Both?](https://aclanthology.org/2022.findings-emnlp.428/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
19. [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)*
20. [Hitachi at SemEval-2022 Task 10: Comparing Graph- and Seq2Seq-based Models Highlights Difficulty in Structured Sentiment Analysis](https://aclanthology.org/2022.semeval-1.188/) *— 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)*
21. [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*
22. [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*
23. [Scene Graph Modification as Incremental Structure Expanding](https://aclanthology.org/2022.coling-1.502/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
24. [Sentence-Incremental Neural Coreference Resolution](https://aclanthology.org/2022.emnlp-main.28/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
25. [A Neural Transition-based Joint Model for Disease Named Entity Recognition and Normalization](https://aclanthology.org/2021.acl-long.219/) *— 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)*
26. [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*
27. [Applying Occam”s Razor to Transformer-Based Dependency Parsing: What Works, What Doesn”t, and What is Really Necessary](https://md.research.elamur.ai/free/en/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)*
28. [Effective Batching for Recurrent Neural Network Grammars](https://aclanthology.org/2021.findings-acl.380/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
29. [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*
30. [Few-Shot Semantic Parsing for New Predicates](https://aclanthology.org/2021.eacl-main.109/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
31. [Linking Entities to Unseen Knowledge Bases with Arbitrary Schemas](https://aclanthology.org/2021.naacl-main.65/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
32. [Multilingual Dependency Parsing for Low-Resource African Languages: Case Studies on Bambara, Wolof, and Yoruba](https://aclanthology.org/2021.iwpt-1.9/) *— 2021 · Proceedings of the 17th International Conference on Parsing Technologies and the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies (IWPT 2021)*
33. [Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement](https://md.research.elamur.ai/free/en/papers/ud-2021-mohammadshahi-recursive-non-autoregressive-graph-graph/) *— our card · 2021*
34. [S-NLP at SemEval-2021 Task 5: An Analysis of Dual Networks for Sequence Tagging](https://aclanthology.org/2021.semeval-1.120/) *— 2021 · Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)*
35. [SoDA: On-device Conversational Slot Extraction](https://aclanthology.org/2021.sigdial-1.7/) *— 2021 · Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue*
36. [Structural Realization with GGNNs](https://aclanthology.org/2021.textgraphs-1.11/) *— 2021 · Proceedings of the Fifteenth Workshop on Graph-Based Methods for Natural Language Processing (TextGraphs-15)*
37. [Structured Prediction as Translation between Augmented Natural Languages](https://arxiv.org/abs/2101.05779) *— 2021 · arXiv:2101.05779 · International Conference on Learning Representations (ICLR) 2021*
38. [Surprisal Estimators for Human Reading Times Need Character Models](https://aclanthology.org/2021.acl-long.290/) *— 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. [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*
40. [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)*
41. [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)*
42. [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*
43. [A Joint Deep Contextualized Word Representation for Deep Biaffine Dependency Parsing](https://aclanthology.org/2020.vlsp-1.10/) *— 2020 · Proceedings of the 7th International Workshop on Vietnamese Language and Speech Processing*
44. [A New Resource for German Causal Language](https://aclanthology.org/2020.lrec-1.731/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
45. [An Effective Transition-based Model for Discontinuous NER](https://aclanthology.org/2020.acl-main.520/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
46. [Comparing Machine Learning and Deep Learning Approaches on NLP Tasks for the Italian Language](https://aclanthology.org/2020.lrec-1.259/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
47. [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*
48. [Deeply Embedded Knowledge Representation & Reasoning For Natural Language Question Answering: A Practitioner”s Perspective](https://aclanthology.org/2020.spnlp-1.12/) *— 2020 · Proceedings of the Fourth Workshop on Structured Prediction for NLP*
49. [Enriched In-Order Linearization for Faster Sequence-to-Sequence Constituent Parsing](https://aclanthology.org/2020.acl-main.376/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
50. [Facilitating Corpus Usage: Making Icelandic Corpora More Accessible for Researchers and Language Users](https://aclanthology.org/2020.lrec-1.416/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
51. [Fact-based Text Editing](https://aclanthology.org/2020.acl-main.17/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
52. [Graph-to-Graph Transformer for Transition-based Dependency Parsing](https://md.research.elamur.ai/free/en/papers/ud-2020-mohammadshahi-graph-graph-transformer-transition-based/) *— our card · 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
53. [HIT-SCIR at MRP 2020: Transition-based Parser and Iterative Inference Parser](https://aclanthology.org/2020.conll-shared.6/) *— 2020 · Proceedings of the CoNLL 2020 Shared Task: Cross-Framework Meaning Representation Parsing*
54. [Køpsala: Transition-Based Graph Parsing via Efficient Training and Effective Encoding](https://aclanthology.org/2020.iwpt-1.25/) *— 2020 · Proceedings of the 16th International Conference on Parsing Technologies and the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies*
55. [LSTMs Compose–-and Learn–-Bottom-Up](https://aclanthology.org/2020.findings-emnlp.252/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
56. [Max-Margin Incremental CCG Parsing](https://aclanthology.org/2020.acl-main.378/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
57. [Parsing as Tagging](https://aclanthology.org/2020.lrec-1.643/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
58. [RP-DNN: A Tweet Level Propagation Context Based Deep Neural Networks for Early Rumor Detection in Social Media](https://aclanthology.org/2020.lrec-1.748/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
59. [Semi-supervised Autoencoding Projective Dependency Parsing](https://aclanthology.org/2020.coling-main.344/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
60. [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*
61. [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*
62. [Training a Swedish Constituency Parser on Six Incompatible Treebanks](https://aclanthology.org/2020.lrec-1.642/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
63. [Transition-based Parsing with Stack-Transformers](https://aclanthology.org/2020.findings-emnlp.89/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
64. [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*
65. [What Should/Do/Can LSTMs Learn When Parsing Auxiliary Verb Constructions?](https://aclanthology.org/2020.cl-4.3/) *— 2020 · Computational Linguistics*
66. [半监督跨领域语义依存分析技术研究(Semi-supervised Domain Adaptation for Semantic Dependency Parsing)](https://aclanthology.org/2020.ccl-1.73/) *— 2020 · Proceedings of the 19th Chinese National Conference on Computational Linguistics*
67. [A Grounded Unsupervised Universal Part-of-Speech Tagger for Low-Resource Languages](https://aclanthology.org/N19-1252/) *— 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)*
68. [A Search-based Neural Model for Biomedical Nested and Overlapping Event Detection](https://aclanthology.org/D19-1381/) *— 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)*
69. [A Unified Multi-task Adversarial Learning Framework for Pharmacovigilance Mining](https://aclanthology.org/P19-1516/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
70. [AMR-to-Text Generation with Cache Transition Systems](https://arxiv.org/abs/1912.01682) *— 2019 · arXiv:1912.01682*
71. [An Empirical Investigation of Global and Local Normalization for Recurrent Neural Sequence Models Using a Continuous Relaxation to Beam Search](https://aclanthology.org/N19-1171/) *— 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)*
72. [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*
73. [Broad-Coverage Semantic Parsing as Transduction](https://aclanthology.org/D19-1392/) *— 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)*
74. [CCG Parsing Algorithm with Incremental Tree Rotation](https://aclanthology.org/N19-1020/) *— 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. [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)*
76. [Enhancing Dialogue Symptom Diagnosis with Global Attention and Symptom Graph](https://aclanthology.org/D19-1508/) *— 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. [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*
78. [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*
79. [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)*
80. [How to Use Gazetteers for Entity Recognition with Neural Models](https://aclanthology.org/W19-5807/) *— 2019 · Proceedings of the 5th Workshop on Semantic Deep Learning (SemDeep-5)*
81. [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*
82. [Improving Neural Machine Translation with Neural Syntactic Distance](https://aclanthology.org/N19-1205/) *— 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)*
83. [Incorporating Emoji Descriptions Improves Tweet Classification](https://aclanthology.org/N19-1214/) *— 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)*
84. [Introduction to Neural Network based Approaches for Question Answering over Knowledge Graphs](https://arxiv.org/abs/1907.09361) *— 2019 · arXiv:1907.09361*
85. [Language Modeling with Shared Grammar](https://aclanthology.org/P19-1437/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
86. [Learning Unsupervised Multilingual Word Embeddings with Incremental Multilingual Hubs](https://aclanthology.org/N19-1188/) *— 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)*
87. [Learning an Executable Neural Semantic Parser](https://aclanthology.org/J19-1002/) *— 2019 · Computational Linguistics*
88. [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)*
89. [Neural Chinese Address Parsing](https://aclanthology.org/N19-1346/) *— 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)*
90. [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)*
91. [Recursive LSTM Tree Representation for Arc-Standard Transition-Based Dependency Parsing](https://md.research.elamur.ai/free/en/papers/ud-2019-elkaref-recursive-lstm-tree-representation-arc/) *— our card · 2019 · Proceedings of the Third Workshop on Universal Dependencies (UDW, SyntaxFest 2019)*
92. [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)*
93. [Reliability-aware Dynamic Feature Composition for Name Tagging](https://aclanthology.org/P19-1016/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
94. [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)*
95. [Representation and parsing of multiword expressions: Current trends](https://doi.org/10.5281/zenodo.2579017) *— 2019 · edited-volume*
96. [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*
97. [Scalable Syntax-Aware Language Models Using Knowledge Distillation](https://aclanthology.org/P19-1337/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
98. [Semi-Supervised Semantic Role Labeling with Cross-View Training](https://aclanthology.org/D19-1094/) *— 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)*
99. [Semi-supervised Domain Adaptation for Dependency Parsing](https://aclanthology.org/P19-1229/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
100. [Text Genre and Training Data Size in Human-like Parsing](https://aclanthology.org/D19-1594/) *— 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)*

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