---
title: "Who cites Deep Biaffine Attention for Neural Dependency…"
description: "The papers of the Elamur Research library that cite «Deep Biaffine Attention for Neural Dependency Parsing», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/missing-2016-dozat-deep-biaffine-attention-neural-dependency/cited-by/page/4/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/missing-2016-dozat-deep-biaffine-attention-neural-dependency/cited-by/page/4/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Deep Biaffine Attention for Neural Dependency…](https://md.research.elamur.ai/free/en/papers/missing-2016-dozat-deep-biaffine-attention-neural-dependency/) / cited by

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

627 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-2016-dozat-deep-biaffine-attention-neural-dependency/)

Pages: [1](https://md.research.elamur.ai/free/en/papers/missing-2016-dozat-deep-biaffine-attention-neural-dependency/cited-by/) · [2](https://md.research.elamur.ai/free/en/papers/missing-2016-dozat-deep-biaffine-attention-neural-dependency/cited-by/page/2/) · [3](https://md.research.elamur.ai/free/en/papers/missing-2016-dozat-deep-biaffine-attention-neural-dependency/cited-by/page/3/) · **4** · [5](https://md.research.elamur.ai/free/en/papers/missing-2016-dozat-deep-biaffine-attention-neural-dependency/cited-by/page/5/) · [6](https://md.research.elamur.ai/free/en/papers/missing-2016-dozat-deep-biaffine-attention-neural-dependency/cited-by/page/6/) · [7](https://md.research.elamur.ai/free/en/papers/missing-2016-dozat-deep-biaffine-attention-neural-dependency/cited-by/page/7/)

1. [Genre as Weak Supervision for Cross-lingual Dependency Parsing](https://aclanthology.org/2021.emnlp-main.393/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
2. [Genres, Parsers, and BERT: The Interaction Between Parsers and BERT Models in Cross-Genre Constituency Parsing in English and Swedish](https://aclanthology.org/2021.adaptnlp-1.7/) *— 2021 · Proceedings of the Second Workshop on Domain Adaptation for NLP*
3. [GoG: Relation-aware Graph-over-Graph Network for Visual Dialog](https://aclanthology.org/2021.findings-acl.20/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
4. [Graph-Based Decoding for Task Oriented Semantic Parsing](https://aclanthology.org/2021.findings-emnlp.341/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
5. [How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models](https://aclanthology.org/2021.acl-long.243/) *— 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)*
6. [How much pretraining data do language models need to learn syntax?](https://aclanthology.org/2021.emnlp-main.118/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
7. [Improving the Performance of UDify with Linguistic Typology Knowledge](https://aclanthology.org/2021.sigtyp-1.5/) *— 2021 · Proceedings of the Third Workshop on Computational Typology and Multilingual NLP*
8. [Incorporating Syntax and Semantics in Coreference Resolution with Heterogeneous Graph Attention Network](https://aclanthology.org/2021.naacl-main.125/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
9. [Instance-Based Neural Dependency Parsing](https://aclanthology.org/2021.tacl-1.89/) *— 2021 · Transactions of the Association for Computational Linguistics*
10. [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*
11. [Joint Chinese Word Segmentation and Part-of-speech Tagging via Two-stage Span Labeling](https://aclanthology.org/2021.paclic-1.36/) *— 2021 · Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation*
12. [Joint Universal Syntactic and Semantic Parsing](https://aclanthology.org/2021.tacl-1.46/) *— 2021*
13. [LGESQL: Line Graph Enhanced Text-to-SQL Model with Mixed Local and Non-Local Relations](https://aclanthology.org/2021.acl-long.198/) *— 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)*
14. [Language Embeddings for Typology and Cross-lingual Transfer Learning](https://aclanthology.org/2021.acl-long.560/) *— 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. [Learning Syntax from Naturally-Occurring Bracketings](https://aclanthology.org/2021.naacl-main.234/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
16. [Levi Graph AMR Parser using Heterogeneous Attention](https://aclanthology.org/2021.iwpt-1.5/) *— 2021 · Proceedings of the 17th International Conference on Parsing Technologies and the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies (IWPT 2021)*
17. [MAD-G: Multilingual Adapter Generation for Efficient Cross-Lingual Transfer](https://aclanthology.org/2021.findings-emnlp.410/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
18. [MRN: A Locally and Globally Mention-Based Reasoning Network for Document-Level Relation Extraction](https://aclanthology.org/2021.findings-acl.117/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
19. [Making Your Tweets More Fancy: Emoji Insertion to Texts](https://aclanthology.org/2021.ranlp-1.88/) *— 2021 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)*
20. [Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little](https://aclanthology.org/2021.emnlp-main.230/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
21. [Massive Choice, Ample Tasks (MaChAmp): A Toolkit for Multi-task Learning in NLP](https://aclanthology.org/2021.eacl-demos.22/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations*
22. [Modularized Interaction Network for Named Entity Recognition](https://aclanthology.org/2021.acl-long.17/) *— 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)*
23. [Multi-View Cross-Lingual Structured Prediction with Minimum Supervision](https://aclanthology.org/2021.acl-long.207/) *— 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)*
24. [Multi-task and Multi-corpora Training Strategies to Enhance Argumentative Sentence Linking Performance](https://aclanthology.org/2021.argmining-1.2/) *— 2021 · Proceedings of the 8th Workshop on Argument Mining*
25. [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)*
26. [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*
27. [Non-Autoregressive Translation by Learning Target Categorical Codes](https://aclanthology.org/2021.naacl-main.458/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
28. [On the Benefit of Syntactic Supervision for Cross-lingual Transfer in Semantic Role Labeling](https://aclanthology.org/2021.emnlp-main.503/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
29. [On the evolution of syntactic information encoded by BERT's contextualized representations](https://aclanthology.org/2021.eacl-main.191/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
30. [Open Information Extraction: Approche Supervisée et Syntaxique pour le Français (Supervised Syntactic Approach for French Open Information Extraction)](https://aclanthology.org/2021.jeptalnrecital-taln.5/) *— 2021 · Actes de la 28e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale*
31. [Parsing Argumentative Structure in English-as-Foreign-Language Essays](https://aclanthology.org/2021.bea-1.10/) *— 2021 · Proceedings of the 16th Workshop on Innovative Use of NLP for Building Educational Applications*
32. [Parsing with Pretrained Language Models, Multiple Datasets, and Dataset Embeddings](https://aclanthology.org/2021.tlt-1.9/) *— 2021 · Proceedings of the 20th International Workshop on Treebanks and Linguistic Theories (TLT, SyntaxFest 2021)*
33. [PhoNLP: A joint multi-task learning model for Vietnamese part-of-speech tagging, named entity recognition and dependency parsing](https://aclanthology.org/2021.naacl-demos.1/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Demonstrations*
34. [RST Parsing from Scratch](https://aclanthology.org/2021.naacl-main.128/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
35. [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*
36. [Reducing Discontinuous to Continuous Parsing with Pointer Network Reordering](https://aclanthology.org/2021.emnlp-main.825/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
37. [Replicating and Extending “Because Their Treebanks Leak”: Graph Isomorphism, Covariants, and Parser Performance](https://aclanthology.org/2021.acl-short.138/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)*
38. [RobeCzech: Czech RoBERTa, a monolingual contextualized language representation model](https://arxiv.org/abs/2105.11314) *— 2021 · arXiv:2105.11314*
39. [RobertNLP at the IWPT 2021 Shared Task: Simple Enhanced UD Parsing for 17 Languages](https://aclanthology.org/2021.iwpt-1.21/) *— 2021 · Proceedings of the 17th International Conference on Parsing Technologies and the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies (IWPT 2021)*
40. [Searching for More Efficient Dynamic Programs](https://aclanthology.org/2021.findings-emnlp.322/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
41. [SituatedQA: Incorporating Extra-Linguistic Contexts into QA](https://aclanthology.org/2021.emnlp-main.586/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
42. [Specializing Multilingual Language Models: An Empirical Study](https://aclanthology.org/2021.mrl-1.5/) *— 2021 · Proceedings of the 1st Workshop on Multilingual Representation Learning*
43. [Stacked AMR Parsing with Silver Data](https://aclanthology.org/2021.findings-emnlp.406/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
44. [Strength in Numbers: Averaging and Clustering Effects in Mixture of Experts for Graph-Based Dependency Parsing](https://aclanthology.org/2021.iwpt-1.11/) *— 2021 · Proceedings of the 17th International Conference on Parsing Technologies and the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies (IWPT 2021)*
45. [Structural Knowledge Distillation: Tractably Distilling Information for Structured Predictor](https://aclanthology.org/2021.acl-long.46/) *— 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)*
46. [Substructure Substitution: Structured Data Augmentation for NLP](https://aclanthology.org/2021.findings-acl.307/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
47. [Syntax Role for Neural Semantic Role Labeling](https://aclanthology.org/2021.cl-3.17/) *— 2021 · Computational Linguistics*
48. [Syntax in End-to-End Natural Language Processing](https://aclanthology.org/2021.emnlp-tutorials.6/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts*
49. [Systematic Generalization with Edge Transformers](https://arxiv.org/abs/2112.00578) *— 2021 · arXiv:2112.00578*
50. [TGIF: Tree-Graph Integrated-Format Parser for Enhanced UD with Two-Stage Generic- to Individual-Language Finetuning](https://aclanthology.org/2021.iwpt-1.23/) *— 2021 · Proceedings of the 17th International Conference on Parsing Technologies and the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies (IWPT 2021)*
51. [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)*
52. [The Language Model Understood the Prompt was Ambiguous: Probing Syntactic Uncertainty Through Generation](https://aclanthology.org/2021.blackboxnlp-1.4/) *— 2021 · Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP*
53. [The Stem Cell Hypothesis: Dilemma behind Multi-Task Learning with Transformer Encoders](https://aclanthology.org/2021.emnlp-main.451/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
54. [Top-down Discourse Parsing via Sequence Labelling](https://aclanthology.org/2021.eacl-main.60/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
55. [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)*
56. [UNKs Everywhere: Adapting Multilingual Language Models to New Scripts](https://aclanthology.org/2021.emnlp-main.800/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
57. [UniRE: A Unified Label Space for Entity Relation Extraction](https://aclanthology.org/2021.acl-long.19/) *— 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)*
58. [Unifying Cross-Lingual Semantic Role Labeling with Heterogeneous Linguistic Resources](https://aclanthology.org/2021.naacl-main.31/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
59. [Unsupervised Domain Adaptation Method with Semantic-Structural Alignment for Dependency Parsing](https://aclanthology.org/2021.findings-emnlp.186/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
60. [We Need to Talk About train-dev-test Splits](https://aclanthology.org/2021.emnlp-main.368/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
61. [What Taggers Fail to Learn, Parsers Need the Most](https://aclanthology.org/2021.nodalida-main.31/) *— 2021 · Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa)*
62. [Word Reordering for Zero-shot Cross-lingual Structured Prediction](https://aclanthology.org/2021.emnlp-main.338/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
63. [Zero-Shot Cross-Lingual Dependency Parsing through Contextual Embedding Transformation](https://aclanthology.org/2021.adaptnlp-1.21/) *— 2021 · Proceedings of the Second Workshop on Domain Adaptation for NLP*
64. [fastHan: A BERT-based Multi-Task Toolkit for Chinese NLP](https://aclanthology.org/2021.acl-demo.12/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: System Demonstrations*
65. [中文词语离合现象识别研究(Research on Recognition of the Separation and Reunion Phenomena of Words in Chinese)](https://aclanthology.org/2021.ccl-1.10/) *— 2021 · Proceedings of the 20th Chinese National Conference on Computational Linguistics*
66. [基于数据选择和局部伪标注的跨语义依存分析研究(Selection and Pseudo Partial Annotationy)](https://aclanthology.org/2021.ccl-1.59/) *— 2021 · Proceedings of the 20th Chinese National Conference on Computational Linguistics*
67. [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*
68. [A Graph-Based Framework for Structured Prediction Tasks in Sanskrit](https://aclanthology.org/2020.cl-4.4/) *— 2020 · Computational Linguistics*
69. [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*
70. [A Joint Model for Graph-based Chinese Dependency Parsing](https://aclanthology.org/2020.ccl-1.76/) *— 2020 · Proceedings of the 19th Chinese National Conference on Computational Linguistics*
71. [A Monolingual Approach to Contextualized Word Embeddings for Mid-Resource Languages](https://aclanthology.org/2020.acl-main.156/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
72. [A Multi-task Learning Framework for Opinion Triplet Extraction](https://aclanthology.org/2020.findings-emnlp.72/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
73. [A Simple and Effective Dependency Parser for Telugu](https://aclanthology.org/2020.acl-srw.19/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop*
74. [A Span-based Linearization for Constituent Trees](https://aclanthology.org/2020.acl-main.299/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
75. [A Top-down Neural Architecture towards Text-level Parsing of Discourse Rhetorical Structure](https://aclanthology.org/2020.acl-main.569/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
76. [A Two-Step Approach for Implicit Event Argument Detection](https://aclanthology.org/2020.acl-main.667/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
77. [AMR Parsing via Graph-Sequence Iterative Inference](https://aclanthology.org/2020.acl-main.119/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
78. [AMR Parsing with Latent Structural Information](https://aclanthology.org/2020.acl-main.397/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
79. [Adaptation of Multilingual Transformer Encoder for Robust Enhanced Universal Dependency Parsing](https://aclanthology.org/2020.iwpt-1.19/) *— 2020 · Proceedings of the 16th International Conference on Parsing Technologies and the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies*
80. [An Empirical Exploration of Local Ordering Pre-training for Structured Prediction](https://aclanthology.org/2020.findings-emnlp.160/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
81. [Analysis of the Penn Korean Universal Dependency Treebank (PKT-UD): Manual Revision to Build Robust Parsing Model in Korean](https://aclanthology.org/2020.iwpt-1.13/) *— 2020 · Proceedings of the 16th International Conference on Parsing Technologies and the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies*
82. [Answer-driven Deep Question Generation based on Reinforcement Learning](https://aclanthology.org/2020.coling-main.452/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
83. [Attention Is All You Need for Chinese Word Segmentation](https://aclanthology.org/2020.emnlp-main.317/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
84. [Biomedical and Clinical English Model Packages in the Stanza Python NLP Library](https://arxiv.org/abs/2007.14640) *— 2020 · arXiv:2007.14640*
85. [Can Multilingual Language Models Transfer to an Unseen Dialect? A Case Study on North African Arabizi](https://arxiv.org/abs/2005.00318) *— 2020 · arXiv:2005.00318*
86. [Combining Thai EDUs: Principle and Implementation](https://aclanthology.org/2020.paclic-1.31/) *— 2020 · Proceedings of the 34th Pacific Asia Conference on Language, Information and Computation*
87. [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*
88. [Contextual Modulation for Relation-Level Metaphor Identification](https://aclanthology.org/2020.findings-emnlp.36/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
89. [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*
90. [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*
91. [Cross-lingual Structure Transfer for Zero-resource Event Extraction](https://aclanthology.org/2020.lrec-1.243/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
92. [Do Explicit Alignments Robustly Improve Multilingual Encoders?](https://aclanthology.org/2020.emnlp-main.362/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
93. [Do Neural Language Models Show Preferences for Syntactic Formalisms?](https://aclanthology.org/2020.acl-main.375/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
94. [ETHAN at SemEval-2020 Task 5: Modelling Causal Reasoning in Language Using Neuro-symbolic Cloud Computing](https://aclanthology.org/2020.semeval-1.83/) *— 2020 · Proceedings of the Fourteenth Workshop on Semantic Evaluation*
95. [Efficient EUD Parsing](https://aclanthology.org/2020.iwpt-1.20/) *— 2020 · Proceedings of the 16th International Conference on Parsing Technologies and the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies*
96. [Efficient Second-Order TreeCRF for Neural Dependency Parsing](https://md.research.elamur.ai/free/en/papers/acl-2020-zhang-efficient-second-order-treecrf-neural/) *— our card · 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
97. [Emerging Cross-lingual Structure in Pretrained Language Models](https://aclanthology.org/2020.acl-main.536/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
98. [End to End Chinese Lexical Fusion Recognition with Sememe Knowledge](https://aclanthology.org/2020.coling-main.263/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
99. [Evaluating Models' Local Decision Boundaries via Contrast Sets](https://md.research.elamur.ai/free/en/papers/gardner-2020-evaluating-models-local-decision-boundaries/) *— our card · 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
100. [Evaluating a Dependency Parser on DeReKo](https://aclanthology.org/2020.cmlc-1.2/) *— 2020 · Proceedings of the 8th Workshop on Challenges in the Management of Large Corpora*

Pages: [1](https://md.research.elamur.ai/free/en/papers/missing-2016-dozat-deep-biaffine-attention-neural-dependency/cited-by/) · [2](https://md.research.elamur.ai/free/en/papers/missing-2016-dozat-deep-biaffine-attention-neural-dependency/cited-by/page/2/) · [3](https://md.research.elamur.ai/free/en/papers/missing-2016-dozat-deep-biaffine-attention-neural-dependency/cited-by/page/3/) · **4** · [5](https://md.research.elamur.ai/free/en/papers/missing-2016-dozat-deep-biaffine-attention-neural-dependency/cited-by/page/5/) · [6](https://md.research.elamur.ai/free/en/papers/missing-2016-dozat-deep-biaffine-attention-neural-dependency/cited-by/page/6/) · [7](https://md.research.elamur.ai/free/en/papers/missing-2016-dozat-deep-biaffine-attention-neural-dependency/cited-by/page/7/)