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# Who cites «Deep Biaffine Attention for Neural Dependency Parsing» · page 2

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. [Combining (Second-Order) Graph-Based and Headed-Span-Based Projective Dependency Parsing](https://aclanthology.org/2022.findings-acl.112/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
2. [Composable Sparse Fine-Tuning for Cross-Lingual Transfer](https://aclanthology.org/2022.acl-long.125/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
3. [Crake: Causal-Enhanced Table-Filler for Question Answering over Large Scale Knowledge Base](https://aclanthology.org/2022.findings-naacl.136/) *— 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
4. [Cross-Linguistic Syntactic Difference in Multilingual BERT: How Good is It and How Does It Affect Transfer?](https://aclanthology.org/2022.emnlp-main.552/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
5. [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)*
6. [Dependency Parsing via Sequence Generation](https://aclanthology.org/2022.findings-emnlp.543/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
7. [Dialo-AP: A Dependency Parsing Based Argument Parser for Dialogues](https://aclanthology.org/2022.coling-1.74/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
8. [End-to-end Argument Mining with Cross-corpora Multi-task Learning](https://aclanthology.org/2022.tacl-1.37/) *— 2022 · Transactions of the Association for Computational Linguistics*
9. [Enhanced Multi-Channel Graph Convolutional Network for Aspect Sentiment Triplet Extraction](https://aclanthology.org/2022.acl-long.212/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
10. [Enhancing Structure-aware Encoder with Extremely Limited Data for Graph-based Dependency Parsing](https://aclanthology.org/2022.coling-1.483/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
11. [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)*
12. [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*
13. [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*
14. [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*
15. [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)*
16. [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*
17. [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)*
18. [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)*
19. [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*
20. [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)*
21. [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)*
22. [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)*
23. [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)*
24. [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)*
25. [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*
26. [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*
27. [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)*
28. [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*
29. [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)*
30. [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)*
31. [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*
32. [Semantic-based Pre-training for Dialogue Understanding](https://aclanthology.org/2022.coling-1.49/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
33. [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*
34. [Structural Bias for Aspect Sentiment Triplet Extraction](https://aclanthology.org/2022.coling-1.585/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
35. [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*
36. [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)*
37. [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*
38. [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)*
39. [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)*
40. [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*
41. [Weakly Supervised Headline Dependency Parsing](https://aclanthology.org/2022.findings-emnlp.487/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
42. [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*
43. [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)*
44. [gaBERT –- an Irish Language Model](https://aclanthology.org/2022.lrec-1.511/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
45. [A Closer Look into the Robustness of Neural Dependency Parsers Using Better Adversarial Examples](https://md.mova.elamur.ai/free/en/docs/papers/findings-2021-wang-closer-look-into-robustness-neural/) *— our card · 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
46. [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)*
47. [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*
48. [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)*
49. [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)*
50. [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)*
51. [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)*
52. [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)*
53. [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*
54. [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*
55. [Applying Occam''s Razor to Transformer-Based Dependency Parsing: What Works, What Doesn''t, and What is Really Necessary](https://md.mova.elamur.ai/free/en/docs/papers/grunewald-2021-applying-occam-s-razor-transformer/) *— our card · 2021 · Proceedings of the 17th International Conference on Parsing Technologies and the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies (IWPT 2021)*
56. [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*
57. [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*
58. [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)*
59. [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*
60. [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)*
61. [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)*
62. [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*
63. [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)*
64. [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)*
65. [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*
66. [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*
67. [Coordinate Constructions in English Enhanced Universal Dependencies: Analysis and Computational Modeling](https://md.mova.elamur.ai/free/en/docs/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*
68. [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)*
69. [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*
70. [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*
71. [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*
72. [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*
73. [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*
74. [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*
75. [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*
76. [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)*
77. [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*
78. [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*
79. [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)*
80. [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*
81. [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*
82. [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)*
83. [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*
84. [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*
85. [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*
86. [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*
87. [Joint Universal Syntactic and Semantic Parsing](https://aclanthology.org/2021.tacl-1.46/) *— 2021*
88. [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)*
89. [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)*
90. [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*
91. [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)*
92. [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*
93. [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*
94. [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*
95. [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*
96. [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)*
97. [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)*
98. [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)*
99. [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*
100. [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*

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