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# Who cites «Deep Biaffine Attention for Neural Dependency Parsing» · page 5

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. [UniParse: A universal graph-based parsing toolkit](https://aclanthology.org/W19-6149/) *— 2019 · Proceedings of the 22nd Nordic Conference on Computational Linguistics*
2. [Viable Dependency Parsing as Sequence Labeling](https://aclanthology.org/N19-1077/) *— 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)*
3. [VisualBERT: A Simple and Performant Baseline for Vision and Language](https://arxiv.org/abs/1908.03557) *— 2019 · arXiv:1908.03557*
4. [Zero-shot Dependency Parsing with Pre-trained Multilingual Sentence Representations](https://aclanthology.org/D19-6132/) *— 2019 · Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo 2019)*
5. [A Full End-to-End Semantic Role Labeler, Syntactic-agnostic Over Syntactic-aware?](https://aclanthology.org/C18-1233/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
6. [A Unified Syntax-aware Framework for Semantic Role Labeling](https://aclanthology.org/D18-1262/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
7. [AMR Parsing as Graph Prediction with Latent Alignment](https://aclanthology.org/P18-1037/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
8. [An Improved Neural Network Model for Joint POS Tagging and Dependency Parsing](https://aclanthology.org/K18-2008/) *— 2018 · Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies*
9. [AntNLP at CoNLL 2018 Shared Task: A Graph-Based Parser for Universal Dependency Parsing](https://aclanthology.org/K18-2025/) *— 2018 · Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies*
10. [ELMoLex: Connecting ELMo and Lexicon Features for Dependency Parsing](https://aclanthology.org/K18-2023/) *— 2018 · Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies*
11. [End-to-End Graph-Based TAG Parsing with Neural Networks](https://aclanthology.org/N18-1107/) *— 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)*
12. [Er ... well, it matters, right? On the role of data representations in spoken language dependency parsing](https://aclanthology.org/W18-6005/) *— 2018 · Proceedings of the Second Workshop on Universal Dependencies (UDW 2018)*
13. [Improved Dependency Parsing using Implicit Word Connections Learned from Unlabeled Data](https://aclanthology.org/D18-1311/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
14. [Linguistically-Informed Self-Attention for Semantic Role Labeling](https://arxiv.org/abs/1804.08199) *— 2018 · arXiv:1804.08199*
15. [Long Short-Term Memory as a Dynamically Computed Element-wise Weighted Sum](https://aclanthology.org/P18-2116/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
16. [Neural Coreference Resolution with Deep Biaffine Attention by Joint Mention Detection and Mention Clustering](https://aclanthology.org/P18-2017/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
17. [On Difficulties of Cross-Lingual Transfer with Order Differences: A Case Study on Dependency Parsing](https://arxiv.org/abs/1811.00570) *— 2018 · arXiv:1811.00570*
18. [Pivot Based Language Modeling for Improved Neural Domain Adaptation](https://aclanthology.org/N18-1112/) *— 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)*
19. [PoSTWITA-UD: an Italian Twitter Treebank in Universal Dependencies](https://aclanthology.org/L18-1279/) *— 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)*
20. [Robust Multilingual Part-of-Speech Tagging via Adversarial Training](https://aclanthology.org/N18-1089/) *— 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)*
21. [SEx BiST: A Multi-Source Trainable Parser with Deep Contextualized Lexical Representations](https://aclanthology.org/K18-2014/) *— 2018 · Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies*
22. [Scene Graph Parsing as Dependency Parsing](https://aclanthology.org/N18-1037/) *— 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)*
23. [Scheduled Multi-Task Learning: From Syntax to Translation](https://aclanthology.org/Q18-1017/) *— 2018 · Transactions of the Association for Computational Linguistics*
24. [Semi-Supervised Sequence Modeling with Cross-View Training](https://aclanthology.org/D18-1217/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
25. [Sentence-State LSTM for Text Representation](https://aclanthology.org/P18-1030/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
26. [Sentences with Gapping: Parsing and Reconstructing Elided Predicates](https://md.mova.elamur.ai/free/en/docs/papers/ud-2018-schuster-sentences-gapping-parsing-reconstructing-elided/) *— our card · 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)*
27. [Seq2seq Dependency Parsing](https://aclanthology.org/C18-1271/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
28. [Simpler but More Accurate Semantic Dependency Parsing](https://aclanthology.org/P18-2077/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
29. [Simultaneously Self-Attending to All Mentions for Full-Abstract Biological Relation Extraction](https://aclanthology.org/N18-1080/) *— 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)*
30. [Stack-Pointer Networks for Dependency Parsing](https://aclanthology.org/P18-1130/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
31. [Strong Baselines for Neural Semi-Supervised Learning under Domain Shift](https://aclanthology.org/P18-1096/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
32. [Surface Statistics of an Unknown Language Indicate How to Parse It](https://aclanthology.org/Q18-1046/) *— 2018 · Transactions of the Association for Computational Linguistics*
33. [Transition-based Neural RST Parsing with Implicit Syntax Features](https://aclanthology.org/C18-1047/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
34. [Twitter Universal Dependency Parsing for African-American and Mainstream American English](https://md.mova.elamur.ai/free/en/docs/papers/ud-2018-blodgett-twitter-universal-dependency-parsing-african/) *— our card · 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
35. [Two Local Models for Neural Constituent Parsing](https://aclanthology.org/C18-1011/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
36. [UDPipe 2.0 Prototype at CoNLL 2018 UD Shared Task](https://md.mova.elamur.ai/free/en/docs/papers/ud-2018-straka-udpipe-2-0-prototype-conll/) *— our card · 2018 · Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies*
37. [Universal Language Model Fine-tuning for Text Classification](https://aclanthology.org/P18-1031/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
38. [Valency-Augmented Dependency Parsing](https://aclanthology.org/D18-1159/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
39. [What can we learn from Semantic Tagging?](https://aclanthology.org/D18-1526/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
40. [A Minimal Span-Based Neural Constituency Parser](https://aclanthology.org/P17-1076/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
41. [A Novel Neural Network Model for Joint POS Tagging and Graph-based Dependency Parsing](https://aclanthology.org/K17-3014/) *— 2017 · Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies*
42. [Combining Global Models for Parsing Universal Dependencies](https://aclanthology.org/K17-3003/) *— 2017 · Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies*
43. [Deep Multitask Learning for Semantic Dependency Parsing](https://aclanthology.org/P17-1186/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
44. [Dependency Parsing with Dilated Iterated Graph CNNs](https://aclanthology.org/W17-4301/) *— 2017 · Proceedings of the 2nd Workshop on Structured Prediction for Natural Language Processing*
45. [Efficient Discontinuous Phrase-Structure Parsing via the Generalized Maximum Spanning Arborescence](https://aclanthology.org/D17-1172/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
46. [Encoder-Decoder Shift-Reduce Syntactic Parsing](https://aclanthology.org/W17-6315/) *— 2017 · Proceedings of the 15th International Conference on Parsing Technologies*
47. [End-to-End Neural Relation Extraction with Global Optimization](https://aclanthology.org/D17-1182/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
48. [Fast(er) Exact Decoding and Global Training for Transition-Based Dependency Parsing via a Minimal Feature Set](https://aclanthology.org/D17-1002/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
49. [In-Order Transition-based Constituent Parsing](https://aclanthology.org/Q17-1029/) *— 2017 · Transactions of the Association for Computational Linguistics*
50. [Incremental Graph-based Neural Dependency Parsing](https://aclanthology.org/D17-1173/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
51. [Neural Machine Translation with Source-Side Latent Graph Parsing](https://aclanthology.org/D17-1012/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
52. [Neural Probabilistic Model for Non-projective MST Parsing](https://aclanthology.org/I17-1007/) *— 2017 · Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
53. [Stack-based Multi-layer Attention for Transition-based Dependency Parsing](https://aclanthology.org/D17-1175/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
54. [TAG Parsing with Neural Networks and Vector Representations of Supertags](https://aclanthology.org/D17-1180/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
55. [Universal Dependencies Parsing for Colloquial Singaporean English](https://md.mova.elamur.ai/free/en/docs/papers/ud-2017-wang-universal-dependencies-parsing-colloquial-singaporean/) *— our card · 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
56. [A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks](https://arxiv.org/abs/1611.01587) *— 2016 · arXiv:1611.01587*
57. [What Do Recurrent Neural Network Grammars Learn About Syntax?](https://arxiv.org/abs/1611.05774) *— 2016 · arXiv:1611.05774*
58. [Improved Document Modelling with a Neural Discourse Parser](https://aclanthology.org/U19-1010/) *— 0 · Proceedings of the 17th Annual Workshop of the Australasian Language Technology Association*
59. abuodeh-2024-palmyra-3-0-user-friendly
60. amestica-2025-joint-multitask-model-morpho-syntactic
61. aminian-2020-multitask-learning-cross-lingual-transfer
62. an-2023-tibetan-dependency-parsing-graph-convolutional
63. anderson-2021-what-taggers-fail-learn-parsers
64. antonelli-2018-parsing-italian-texts-together-is
65. atmani-2021-open-information-extraction-approche-supervisee
66. basirat-2024-efficient-structured-prediction-transformer-encoders
67. bauwens-2025-grampa-subword-regularisation-skewing-uniform
68. bolucu-2023-which-sentence-representation-is-more
69. bugueno-2023-connecting-dots-what-graph-based
70. candito-2022-taches-auxiliaires-pour-l-analyse
71. cao-2025-ncre-benchmark-document-level-nominal
72. celano-2025-state-art-morphosyntactic-parser-lemmatizer
73. chakraborty-2023-aspect-opinion-term-extraction-graph
74. chakraborty-2024-rgat-semeval-2024-task-2
75. chen-2022-modeling-syntactic-semantic-dependency-correlations
76. chen-2022-mt-speech-semeval-2022-task
77. chen-2024-logogramnlp-comparing-visual-textual-representations
78. chen-2025-small-language-model-makes-effective
79. cho-2023-sir-absc-incorporating-syntax-into
80. chun-2025-modal-dependency-parsing-biaffine-attention
81. cole-2021-graph-based-decoding-task-oriented
82. corro-2020-sur-l-impact-des-contraintes
83. dakota-2021-genres-parsers-bert-interaction-between
84. dakota-2024-bits-pieces-investigating-effects-subwords
85. danilova-2024-relation-between-cross-genre-cross
86. do-2020-neural-reranking-dependency-parsing-evaluation
87. do-2020-parsers-know-best-german-pp
88. doan-2020-joint-deep-contextualized-word-representation
89. dobre-2024-efficient-dependency-tree-sampling-without
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91. duan-2025-diadp-xllm25-advancing-chinese-dialogue
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93. eecke-2022-neural-heuristics-scaling-constructional-language
94. eskin-2022-when-more-data-hurts-troubling
95. evang-2022-improving-low-resource-rrg-parsing
96. ezquerro-2024-lys-semeval-2024-task-3
97. ezquerro-2024-partial-strictly-incremental-constituent-parsing
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100. fan-2023-understanding-cooking-process-english-recipe

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