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# Who cites «Deep Biaffine Attention for Neural Dependency Parsing» · page 4

626 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/missing-2016-dozat-deep-biaffine-attention-neural-dependency/)

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1. [Scene Graph Modification Based on Natural Language Commands](https://aclanthology.org/2020.findings-emnlp.87/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
2. [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*
3. [Second-Order Unsupervised Neural Dependency Parsing](https://aclanthology.org/2020.coling-main.347/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
4. [Semantic Graphs for Generating Deep Questions](https://aclanthology.org/2020.acl-main.135/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
5. [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)*
6. [Semantic Role Labeling with Heterogeneous Syntactic Knowledge](https://aclanthology.org/2020.coling-main.266/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
7. [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*
8. [Sentence Matching with Syntax- and Semantics-Aware BERT](https://aclanthology.org/2020.coling-main.293/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
9. [Small but Mighty: New Benchmarks for Split and Rephrase](https://aclanthology.org/2020.emnlp-main.91/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
10. [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)*
11. [Stanza: A Python Natural Language Processing Toolkit for Many Human Languages](https://md.mova.elamur.ai/free/en/docs/papers/ud-2020-qi-stanza-python-natural-language-processing/) *— our card · 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations*
12. [Statistical Parsing of Tree Wrapping Grammars](https://aclanthology.org/2020.coling-main.595/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
13. [Structural Information Preserving for Graph-to-Text Generation](https://aclanthology.org/2020.acl-main.712/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
14. [Syntactically Aware Cross-Domain Aspect and Opinion Terms Extraction](https://aclanthology.org/2020.coling-main.158/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
15. [The ADAPT Enhanced Dependency Parser at the IWPT 2020 Shared Task](https://aclanthology.org/2020.iwpt-1.24/) *— 2020 · Proceedings of the 16th International Conference on Parsing Technologies and the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies*
16. [The Secret is in the Spectra: Predicting Cross-lingual Task Performance with Spectral Similarity Measures](https://aclanthology.org/2020.emnlp-main.186/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
17. [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*
18. [Towards Instance-Level Parser Selection for Cross-Lingual Transfer of Dependency Parsers](https://aclanthology.org/2020.coling-main.345/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
19. [Transition-based Parsing with Stack-Transformers](https://aclanthology.org/2020.findings-emnlp.89/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
20. [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*
21. [Two are Better than One: Joint Entity and Relation Extraction with Table-Sequence Encoders](https://aclanthology.org/2020.emnlp-main.133/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
22. [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)*
23. [Universal Decompositional Semantic Parsing](https://aclanthology.org/2020.acl-main.746/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
24. [What Does BERT with Vision Look At?](https://aclanthology.org/2020.acl-main.469/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
25. [What Happens To BERT Embeddings During Fine-tuning?](https://aclanthology.org/2020.blackboxnlp-1.4/) *— 2020 · Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP*
26. [Why Overfitting Isn''t Always Bad: Retrofitting Cross-Lingual Word Embeddings to Dictionaries](https://aclanthology.org/2020.acl-main.201/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
27. [X-SRL: A Parallel Cross-Lingual Semantic Role Labeling Dataset](https://aclanthology.org/2020.emnlp-main.321/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
28. [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)*
29. [ÚFAL at MRP 2020: Permutation-invariant Semantic Parsing in PERIN](https://aclanthology.org/2020.conll-shared.5/) *— 2020 · Proceedings of the CoNLL 2020 Shared Task: Cross-Framework Meaning Representation Parsing*
30. [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*
31. [基于图神经网络的汉语依存分析和语义组合计算联合模型(Joint Learning Chinese Dependency Parsing and Semantic Composition based on Graph Neural Network)](https://aclanthology.org/2020.ccl-1.19/) *— 2020 · Proceedings of the 19th Chinese National Conference on Computational Linguistics*
32. [基于深度学习的实体关系抽取研究综述(Review of Entity Relation Extraction based on deep learning)](https://aclanthology.org/2020.ccl-1.33/) *— 2020 · Proceedings of the 19th Chinese National Conference on Computational Linguistics*
33. [75 Languages, 1 Model: Parsing Universal Dependencies Universally](https://md.mova.elamur.ai/free/en/docs/papers/ud-2019-kondratyuk-75-languages-1-model-parsing/) *— our card · 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)*
34. [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)*
35. [A Neural Graph-based Approach to Verbal MWE Identification](https://aclanthology.org/W19-5113/) *— 2019 · Proceedings of the Joint Workshop on Multiword Expressions and WordNet (MWE-WN 2019)*
36. [A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling](https://aclanthology.org/D19-1541/) *— 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)*
37. [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)*
38. [A Unified Linear-Time Framework for Sentence-Level Discourse Parsing](https://aclanthology.org/P19-1410/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
39. [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*
40. [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*
41. [Amazon at MRP 2019: Parsing Meaning Representations with Lexical and Phrasal Anchoring](https://aclanthology.org/K19-2013/) *— 2019 · Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 Conference on Natural Language Learning*
42. [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*
43. [Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT](https://arxiv.org/abs/1904.09077) *— 2019 · arXiv:1904.09077*
44. [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)*
45. [CamemBERT: a Tasty French Language Model](https://arxiv.org/abs/1911.03894) *— 2019 · arXiv:1911.03894 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, July 2020, Online*
46. [Character-level Annotation for Chinese Surface-Syntactic Universal Dependencies](https://aclanthology.org/W19-7726/) *— 2019 · Proceedings of the Fifth International Conference on Dependency Linguistics (Depling, SyntaxFest 2019)*
47. [Choosing Transfer Languages for Cross-Lingual Learning](https://aclanthology.org/P19-1301/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
48. [Compositional Semantic Parsing across Graphbanks](https://aclanthology.org/P19-1450/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
49. [Core Semantic First: A Top-down Approach for AMR Parsing](https://aclanthology.org/D19-1393/) *— 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)*
50. [Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Languages with Rich Morphology](https://arxiv.org/abs/1906.04571) *— 2019 · arXiv:1906.04571*
51. [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)*
52. [Cross-Lingual BERT Transformation for Zero-Shot Dependency Parsing](https://aclanthology.org/D19-1575/) *— 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)*
53. [Cross-Lingual Dependency Parsing Using Code-Mixed TreeBank](https://aclanthology.org/D19-1092/) *— 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)*
54. [Cross-Lingual Dependency Parsing with Unlabeled Auxiliary Languages](https://aclanthology.org/K19-1035/) *— 2019 · Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)*
55. [Cross-Lingual Syntactic Transfer through Unsupervised Adaptation of Invertible Projections](https://aclanthology.org/P19-1311/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
56. [Cross-lingual Parsing with Polyglot Training and Multi-treebank Learning: A Faroese Case Study](https://aclanthology.org/D19-6118/) *— 2019 · Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo 2019)*
57. [Decomposed Local Models for Coordinate Structure Parsing](https://aclanthology.org/N19-1343/) *— 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)*
58. [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)*
59. [Deep Dominance - How to Properly Compare Deep Neural Models](https://aclanthology.org/P19-1266/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
60. [Dependency Parsing for Spoken Dialog Systems](https://md.mova.elamur.ai/free/en/docs/papers/ud-2019-davidson-dependency-parsing-spoken-dialog-systems/) *— our card · 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)*
61. [Dependency-Based Self-Attention for Transformer NMT](https://aclanthology.org/R19-1028/) *— 2019 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019)*
62. [Dependency-Guided LSTM-CRF for Named Entity Recognition](https://aclanthology.org/D19-1399/) *— 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)*
63. [Energy and Policy Considerations for Deep Learning in NLP](https://aclanthology.org/P19-1355/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
64. [Entity-Relation Extraction as Multi-Turn Question Answering](https://aclanthology.org/P19-1129/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
65. [Event Representation Learning Enhanced with External Commonsense Knowledge](https://aclanthology.org/D19-1495/) *— 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)*
66. [Extracting and Learning a Dependency-Enhanced Type Lexicon for Dutch](https://arxiv.org/abs/1909.02955) *— 2019 · arXiv:1909.02955*
67. [FlauBERT: Unsupervised Language Model Pre-training for French](https://arxiv.org/abs/1912.05372) *— 2019 · arXiv:1912.05372*
68. [Generation of Hip-Hop Lyrics with Hierarchical Modeling and Conditional Templates](https://aclanthology.org/W19-8638/) *— 2019 · Proceedings of the 12th International Conference on Natural Language Generation*
69. [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*
70. [HLT@SUDA at SemEval-2019 Task 1: UCCA Graph Parsing as Constituent Tree Parsing](https://aclanthology.org/S19-2002/) *— 2019 · Proceedings of the 13th International Workshop on Semantic Evaluation*
71. [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*
72. [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)*
73. [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)*
74. [LINSPECTOR WEB: A Multilingual Probing Suite for Word Representations](https://aclanthology.org/D19-3022/) *— 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): System Demonstrations*
75. [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)*
76. [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)*
77. [Linguistic Knowledge and Transferability of Contextual Representations](https://aclanthology.org/N19-1112/) *— 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)*
78. [Low-Resource Parsing with Crosslingual Contextualized Representations](https://aclanthology.org/K19-1029/) *— 2019 · Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)*
79. [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)*
80. [Parsing Chinese Sentences with Grammatical Relations](https://aclanthology.org/J19-1003/) *— 2019 · Computational Linguistics*
81. [Peking at MRP 2019: Factorization- and Composition-Based Parsing for Elementary Dependency Structures](https://aclanthology.org/K19-2016/) *— 2019 · Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 Conference on Natural Language Learning*
82. [Polyglot Contextual Representations Improve Crosslingual Transfer](https://aclanthology.org/N19-1392/) *— 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. [Promoting the Knowledge of Source Syntax in Transformer NMT Is Not Needed](https://arxiv.org/abs/1910.11218) *— 2019 · arXiv:1910.11218 · Computac\'ion y Sistemas, Vol. 23, No. 3, 2019, pp. 923-934*
84. [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)*
85. [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)*
86. [SJTU-NICT at MRP 2019: Multi-Task Learning for End-to-End Uniform Semantic Graph Parsing](https://aclanthology.org/K19-2004/) *— 2019 · Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 Conference on Natural Language Learning*
87. [SUDA-Alibaba at MRP 2019: Graph-Based Models with BERT](https://aclanthology.org/K19-2014/) *— 2019 · Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 Conference on Natural Language Learning*
88. [SciBERT: A Pretrained Language Model for Scientific Text](https://aclanthology.org/D19-1371/) *— 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)*
89. [ScispaCy: Fast and Robust Models for Biomedical Natural Language Processing](https://aclanthology.org/W19-5034/) *— 2019 · Proceedings of the 18th BioNLP Workshop and Shared Task*
90. [Second-Order Semantic Dependency Parsing with End-to-End Neural Networks](https://aclanthology.org/P19-1454/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
91. [Semantic Role Labeling with Associated Memory Network](https://aclanthology.org/N19-1340/) *— 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)*
92. [Semantic Role Labeling with Iterative Structure Refinement](https://aclanthology.org/D19-1099/) *— 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)*
93. [Sentence-Level Evidence Embedding for Claim Verification with Hierarchical Attention Networks](https://aclanthology.org/P19-1244/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
94. [Sequence Labeling Parsing by Learning across Representations](https://aclanthology.org/P19-1531/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
95. [Specializing Word Embeddings (for Parsing) by Information Bottleneck](https://aclanthology.org/D19-1276/) *— 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)*
96. [Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations](https://aclanthology.org/N19-1118/) *— 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)*
97. [Syntax-aware Multilingual Semantic Role Labeling](https://aclanthology.org/D19-1538/) *— 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)*
98. [Syntax-aware Semantic Role Labeling without Parsing](https://aclanthology.org/Q19-1022/) *— 2019 · Transactions of the Association for Computational Linguistics*
99. [Target Language-Aware Constrained Inference for Cross-lingual Dependency Parsing](https://aclanthology.org/D19-1103/) *— 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)*
100. [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*

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