---
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/3/"
---
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# Who cites «Deep Biaffine Attention for Neural Dependency Parsing» · page 3

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

1. [EventGraph at CASE 2021 Task 1: A General Graph-based Approach to Protest Event Extraction](https://aclanthology.org/2022.case-1.22/) *— 2022 · Proceedings of the 5th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE)*
2. [EventGraph: Event Extraction as Semantic Graph Parsing](https://aclanthology.org/2022.case-1.2/) *— 2022 · Proceedings of the 5th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE)*
3. [Fusing Heterogeneous Factors with Triaffine Mechanism for Nested Named Entity Recognition](https://aclanthology.org/2022.findings-acl.250/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
4. [Higher-Order Dependency Parsing for Arc-Polynomial Score Functions via Gradient-Based Methods and Genetic Algorithm](https://aclanthology.org/2022.aacl-main.85/) *— 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
5. [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)*
6. [How to Parse a Creole: When Martinican Creole Meets French](https://aclanthology.org/2022.coling-1.387/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
7. [Improving Code-Switching Dependency Parsing with Semi-Supervised Auxiliary Tasks](https://aclanthology.org/2022.findings-naacl.87/) *— 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
8. [Improving Low-resource RRG Parsing with Cross-lingual Self-training](https://aclanthology.org/2022.coling-1.384/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
9. [Integrating Label Attention into CRF-based Vietnamese Constituency Parser](https://aclanthology.org/2022.paclic-1.1/) *— 2022 · Proceedings of the 36th Pacific Asia Conference on Language, Information and Computation*
10. [Intent Detection and Slot Filling from Dependency Parsing Perspective: A Case Study in Vietnamese](https://aclanthology.org/2022.paclic-1.85/) *— 2022 · Proceedings of the 36th Pacific Asia Conference on Language, Information and Computation*
11. [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)*
12. [Learnable Dependency-based Double Graph Structure for Aspect-based Sentiment Analysis](https://aclanthology.org/2022.coling-1.618/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
13. [Legal Named Entity Recognition with Multi-Task Domain Adaptation](https://aclanthology.org/2022.nllp-1.29/) *— 2022 · Proceedings of the Natural Legal Language Processing Workshop 2022*
14. [MT-Speech at SemEval-2022 Task 10: Incorporating Data Augmentation and Auxiliary Task with Cross-Lingual Pretrained Language Model for Structured Sentiment Analysis](https://aclanthology.org/2022.semeval-1.185/) *— 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)*
15. [Meta-Learning for Fast Cross-Lingual Adaptation in Dependency Parsing](https://aclanthology.org/2022.acl-long.582/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
16. [MicroBERT: Effective Training of Low-resource Monolingual BERTs through Parameter Reduction and Multitask Learning](https://aclanthology.org/2022.mrl-1.9/) *— 2022 · Proceedings of the 2nd Workshop on Multi-lingual Representation Learning (MRL)*
17. [Modeling Syntactic-Semantic Dependency Correlations in Semantic Role Labeling Using Mixture Models](https://aclanthology.org/2022.acl-long.548/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
18. [MuCPAD: A Multi-Domain Chinese Predicate-Argument Dataset](https://aclanthology.org/2022.naacl-main.123/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
19. [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*
20. [Multi-task Active Learning for Pre-trained Transformer-based Models](https://aclanthology.org/2022.tacl-1.70/) *— 2022 · Transactions of the Association for Computational Linguistics*
21. [Nested Named Entity Recognition as Latent Lexicalized Constituency Parsing](https://aclanthology.org/2022.acl-long.428/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
22. [Nested Named Entity Recognition with Span-level Graphs](https://aclanthology.org/2022.acl-long.63/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
23. [Neural heuristics for scaling constructional language processing](https://jlm.ipipan.waw.pl/index.php/JLM/article/view/318) *— 2022 · Journal of Language Modelling*
24. [OIE@OIA: an Adaptable and Efficient Open Information Extraction Framework](https://aclanthology.org/2022.acl-long.430/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
25. [On Efficiently Acquiring Annotations for Multilingual Models](https://aclanthology.org/2022.acl-short.9/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
26. [On the Sensitivity and Stability of Model Interpretations in NLP](https://aclanthology.org/2022.acl-long.188/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
27. [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*
28. [Overconfidence in the Face of Ambiguity with Adversarial Data](https://aclanthology.org/2022.dadc-1.4/) *— 2022 · Proceedings of the First Workshop on Dynamic Adversarial Data Collection*
29. [Passing Parser Uncertainty to the Transformer: Labeled Dependency Distributions for Neural Machine Translation](https://aclanthology.org/2022.eamt-1.7/) *— 2022 · Proceedings of the 23rd Annual Conference of the European Association for Machine Translation*
30. [Phylogeny-Inspired Adaptation of Multilingual Models to New Languages](https://aclanthology.org/2022.aacl-main.34/) *— 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
31. [Pre-training Data Quality and Quantity for a Low-Resource Language: New Corpus and BERT Models for Maltese](https://aclanthology.org/2022.deeplo-1.10/) *— 2022 · Proceedings of the Third Workshop on Deep Learning for Low-Resource Natural Language Processing*
32. [Pretrained Knowledge Base Embeddings for improved Sentential Relation Extraction](https://aclanthology.org/2022.acl-srw.29/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop*
33. [Pretraining with Artificial Language: Studying Transferable Knowledge in Language Models](https://aclanthology.org/2022.acl-long.504/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
34. [Probing for Labeled Dependency Trees](https://aclanthology.org/2022.acl-long.532/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
35. [Proto-Gen: An end-to-end neural generator for persona and knowledge grounded response generation](https://aclanthology.org/2022.ccgpk-1.2/) *— 2022 · Proceedings of the 1st Workshop on Customized Chat Grounding Persona and Knowledge*
36. [SHARP: Search-Based Adversarial Attack for Structured Prediction](https://aclanthology.org/2022.findings-naacl.71/) *— 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
37. [Semantic Dependency Parsing with Edge GNNs](https://aclanthology.org/2022.findings-emnlp.452/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
38. [Semantic Role Labeling as Dependency Parsing: Exploring Latent Tree Structures inside Arguments](https://aclanthology.org/2022.coling-1.370/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
39. [Semantic-based Pre-training for Dialogue Understanding](https://aclanthology.org/2022.coling-1.49/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
40. [Semi-supervised Domain Adaptation for Dependency Parsing with Dynamic Matching Network](https://aclanthology.org/2022.acl-long.74/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
41. [Sort by Structure: Language Model Ranking as Dependency Probing](https://aclanthology.org/2022.naacl-main.93/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
42. [Structural Bias for Aspect Sentiment Triplet Extraction](https://aclanthology.org/2022.coling-1.585/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
43. [Structured Dialogue Discourse Parsing](https://aclanthology.org/2022.sigdial-1.32/) *— 2022 · Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue*
44. [Substructure Distribution Projection for Zero-Shot Cross-Lingual Dependency Parsing](https://aclanthology.org/2022.acl-long.452/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
45. [SynGEC: Syntax-Enhanced Grammatical Error Correction with a Tailored GEC-Oriented Parser](https://aclanthology.org/2022.emnlp-main.162/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
46. [The Architectural Bottleneck Principle](https://aclanthology.org/2022.emnlp-main.788/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
47. [Toward Automatic Discourse Parsing of Student Writing Motivated by Neural Interpretation](https://aclanthology.org/2022.bea-1.25/) *— 2022 · Proceedings of the 17th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2022)*
48. [TwittIrish: A Universal Dependencies Treebank of Tweets in Modern Irish](https://aclanthology.org/2022.acl-long.473/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
49. [Tâches auxiliaires pour l'analyse biaffine en graphes de dépendances (Auxiliary tasks to boost Biaffine Semantic Dependency Parsing)](https://aclanthology.org/2022.jeptalnrecital-taln.42/) *— 2022 · Actes de la 29e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale*
50. [Un algorithme d'analyse sémantique fondée sur les graphes via le problème de l'arborescence généralisée couvrante (A graph-based semantic parsing algorithm via the generalized spanning arborescence problem)](https://aclanthology.org/2022.jeptalnrecital-taln.22/) *— 2022 · Actes de la 29e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale*
51. [Unifying Parsing and Tree-Structured Models for Generating Sentence Semantic Representations](https://aclanthology.org/2022.naacl-srw.33/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop*
52. [Unsupervised Cross-Lingual Transfer of Structured Predictors without Source Data](https://aclanthology.org/2022.naacl-main.149/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
53. [Weakly Supervised Headline Dependency Parsing](https://aclanthology.org/2022.findings-emnlp.487/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
54. [When More Data Hurts: A Troubling Quirk in Developing Broad-Coverage Natural Language Understanding Systems](https://aclanthology.org/2022.emnlp-main.789/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
55. [Yet Another Format of Universal Dependencies for Korean](https://aclanthology.org/2022.coling-1.482/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
56. [Zero-Shot Dependency Parsing with Worst-Case Aware Automated Curriculum Learning](https://aclanthology.org/2022.acl-short.64/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
57. [Zero-shot Cross-lingual Transfer is Under-specified Optimization](https://aclanthology.org/2022.repl4nlp-1.25/) *— 2022 · Proceedings of the 7th Workshop on Representation Learning for NLP*
58. [gaBERT –- an Irish Language Model](https://aclanthology.org/2022.lrec-1.511/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
59. [A Closer Look into the Robustness of Neural Dependency Parsers Using Better Adversarial Examples](https://md.research.elamur.ai/free/en/papers/findings-2021-wang-closer-look-into-robustness-neural/) *— our card · 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
60. [A Conditional Splitting Framework for Efficient Constituency Parsing](https://aclanthology.org/2021.acl-long.450/) *— 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)*
61. [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*
62. [A Joint Model for Dropped Pronoun Recovery and Conversational Discourse Parsing in Chinese Conversational Speech](https://aclanthology.org/2021.acl-long.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 1: Long Papers)*
63. [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)*
64. [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*
65. [ABCD: A Graph Framework to Convert Complex Sentences to a Covering Set of Simple Sentences](https://aclanthology.org/2021.acl-long.303/) *— 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)*
66. [APGN: Adversarial and Parameter Generation Networks for Multi-Source Cross-Domain Dependency Parsing](https://aclanthology.org/2021.findings-emnlp.149/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
67. [Adapting Unsupervised Syntactic Parsing Methodology for Discourse Dependency Parsing](https://aclanthology.org/2021.acl-long.449/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
68. [Adversarial Learning for Discourse Rhetorical Structure Parsing](https://aclanthology.org/2021.acl-long.305/) *— 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)*
69. [An In-depth Study on Internal Structure of Chinese Words](https://aclanthology.org/2021.acl-long.452/) *— 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)*
70. [Analyse en dépendances du français avec des plongements contextualisés (French dependency parsing with contextualized embeddings)](https://aclanthology.org/2021.jeptalnrecital-taln.9/) *— 2021 · Actes de la 28e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale*
71. [Annotations Matter: Leveraging Multi-task Learning to Parse UD and SUD](https://aclanthology.org/2021.findings-acl.305/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
72. [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)*
73. [Attention Can Reflect Syntactic Structure (If You Let It)](https://aclanthology.org/2021.eacl-main.264/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
74. [Auto-encodeurs variationnels : contrecarrer le problème de posterior collapse grâce à la régularisation du décodeur (Variational auto-encoders : prevent posterior collapse via decoder regularization)](https://aclanthology.org/2021.jeptalnrecital-taln.1/) *— 2021 · Actes de la 28e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale*
75. [Automated Concatenation of Embeddings for Structured Prediction](https://aclanthology.org/2021.acl-long.206/) *— 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)*
76. [Better Feature Integration for Named Entity Recognition](https://aclanthology.org/2021.naacl-main.271/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
77. [Biaffine Dependency and Semantic Graph Parsing for EnhancedUniversal Dependencies](https://aclanthology.org/2021.iwpt-1.19/) *— 2021 · Proceedings of the 17th International Conference on Parsing Technologies and the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies (IWPT 2021)*
78. [Can Character-based Language Models Improve Downstream Task Performances In Low-Resource And Noisy Language Scenarios?](https://aclanthology.org/2021.wnut-1.47/) *— 2021 · Proceedings of the Seventh Workshop on Noisy User-generated Text (W-NUT 2021)*
79. [Capturing Logical Structure of Visually Structured Documents with Multimodal Transition Parser](https://aclanthology.org/2021.nllp-1.15/) *— 2021 · Proceedings of the Natural Legal Language Processing Workshop 2021*
80. [Cascaded Span Extraction and Response Generation for Document-Grounded Dialog](https://aclanthology.org/2021.dialdoc-1.8/) *— 2021 · Proceedings of the 1st Workshop on Document-grounded Dialogue and Conversational Question Answering (DialDoc 2021)*
81. [Cisco at SemEval-2021 Task 5: What”s Toxic?: Leveraging Transformers for Multiple Toxic Span Extraction from Online Comments](https://aclanthology.org/2021.semeval-1.29/) *— 2021 · Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)*
82. [Climbing the Tower of Treebanks: Improving Low-Resource Dependency Parsing via Hierarchical Source Selection](https://aclanthology.org/2021.findings-acl.431/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
83. [Compositional Networks Enable Systematic Generalization for Grounded Language Understanding](https://aclanthology.org/2021.findings-emnlp.21/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
84. [ConteCorpus: An Analysis of People Response to Institutional Communications During the Pandemic](https://aclanthology.org/2021.clicit-1.52/) *— 2021 · Proceedings of the Eighth Italian Conference on Computational Linguistics (CLiC-it 2021)*
85. [Contrasting distinct structured views to learn sentence embeddings](https://aclanthology.org/2021.eacl-srw.11/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop*
86. [Coordinate Constructions in English Enhanced Universal Dependencies: Analysis and Computational Modeling](https://md.research.elamur.ai/free/en/papers/grunewald-2021-coordinate-constructions-english-enhanced-universal/) *— our card · 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
87. [Coreference Resolution without Span Representations](https://aclanthology.org/2021.acl-short.3/) *— 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)*
88. [Cross-Cultural Similarity Features for Cross-Lingual Transfer Learning of Pragmatically Motivated Tasks](https://aclanthology.org/2021.eacl-main.204/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
89. [DILBERT: Customized Pre-Training for Domain Adaptation with Category Shift, with an Application to Aspect Extraction](https://aclanthology.org/2021.emnlp-main.20/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
90. [DMRST: A Joint Framework for Document-Level Multilingual RST Discourse Segmentation and Parsing](https://aclanthology.org/2021.codi-main.15/) *— 2021 · Proceedings of the 2nd Workshop on Computational Approaches to Discourse*
91. [Diversity-Aware Batch Active Learning for Dependency Parsing](https://aclanthology.org/2021.naacl-main.207/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
92. [Do Syntax Trees Help Pre-trained Transformers Extract Information?](https://aclanthology.org/2021.eacl-main.228/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
93. [Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTa](https://aclanthology.org/2021.naacl-main.146/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
94. [Efficient Sampling of Dependency Structures](https://aclanthology.org/2021.emnlp-main.824/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
95. [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*
96. [End-to-end mBERT based Seq2seq Enhanced Dependency Parser with Linguistic Typology knowledge](https://aclanthology.org/2021.iwpt-1.24/) *— 2021 · Proceedings of the 17th International Conference on Parsing Technologies and the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies (IWPT 2021)*
97. [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*
98. [Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction](https://aclanthology.org/2021.emnlp-main.149/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
99. [Examining Cross-lingual Contextual Embeddings with Orthogonal Structural Probes](https://aclanthology.org/2021.emnlp-main.376/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
100. [Few-Shot Question Answering by Pretraining Span Selection](https://aclanthology.org/2021.acl-long.239/) *— 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)*

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