---
title: "Who cites Deep Biaffine Attention for Neural Dependency…"
description: "627 papers of the Elamur Research library cite «Deep Biaffine Attention for Neural Dependency Parsing», found in their bibliographies; the most cited…"
canonical: "https://research.elamur.ai/free/en/papers/dozat-2016-deep-biaffine-attention-neural-dependency/cited-by/"
---
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[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/dozat-2016-deep-biaffine-attention-neural-dependency/) / cited by

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

627 papers of our library cite it (of the 140,884 whose bibliographies we read) · 92 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/dozat-2016-deep-biaffine-attention-neural-dependency/)

1. [**Energy and Policy Considerations for Deep Learning in NLP**Emma Strubell, Ananya Ganesh, Andrew McCallum*2019 · 4,049 citations*](https://md.research.elamur.ai/free/en/papers/strubell-2019-energy-policy-considerations-deep-learning/)
2. [**SciBERT: A Pretrained Language Model for Scientific Text**Iz Beltagy, Kyle Lo, Arman Cohan*2019 · 3,548 citations*](https://md.research.elamur.ai/free/en/papers/beltagy-2019-scibert-pretrained-language-model-scientific/)
3. [**Stanza: A Python Natural Language Processing Toolkit for Many Human Languages**Peng Qi, Yuhao Zhang, Yuhui Zhang, et al.*2020 · 2,347 citations*](https://md.research.elamur.ai/free/en/papers/qi-2020-stanza-python-natural-language-processing/)
4. [**VisualBERT: A Simple and Performant Baseline for Vision and Language**Liunian Harold Li, Mark Yatskar, Da Yin, et al.*2019 · 1,510 citations*](https://md.research.elamur.ai/free/en/papers/li-2019-visualbert-simple-performant-baseline-vision/)
5. [**CamemBERT: a Tasty French Language Model**Louis Martin, Benjamin Muller, Pedro Javier Ortiz Suárez, et al.*2019 · 1,262 citations*](https://md.research.elamur.ai/free/en/papers/martin-2019-camembert-tasty-french-language-model/)
6. [**Linguistic Knowledge and Transferability of Contextual Representations**Nelson F. Liu, Matt Gardner, Yonatan Belinkov, et al.*2019 · 1,011 citations*](https://md.research.elamur.ai/free/en/papers/liu-2019-linguistic-knowledge-transferability-contextual-representations/)
7. [**Explainability for Large Language Models: A Survey**Haiyan Zhao, Hanjie Chen, Fan Yang, et al.*2023 · 785 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2023-explainability-large-language-models-survey/)
8. [**Relational Graph Attention Network for Aspect-based Sentiment Analysis**Kai Wang, Weizhou Shen, Yunyi Yang, et al.*2020 · 775 citations*](https://md.research.elamur.ai/free/en/papers/wang-2020-relational-graph-attention-network-aspect/)
9. [**ScispaCy: Fast and Robust Models for Biomedical Natural Language Processing**Mark Neumann, Daniel King, Iz Beltagy, et al.*2019 · 674 citations*](https://md.research.elamur.ai/free/en/papers/neumann-2019-scispacy-fast-robust-models-biomedical/)
10. [**A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks**Kazuma Hashimoto, Caiming Xiong, Yoshimasa Tsuruoka, et al.*2016 · 666 citations*](https://md.research.elamur.ai/free/en/papers/hashimoto-2016-joint-many-task-model-growing/)
11. [**Linguistically-Informed Self-Attention for Semantic Role Labeling**Emma Strubell, Patrick Verga, Daniel Andor, et al.*2018 · 598 citations*](https://md.research.elamur.ai/free/en/papers/strubell-2018-linguistically-informed-self-attention-semantic/)
12. [**PhoBERT: Pre-trained language models for Vietnamese**Dat Quoc Nguyen, Anh Tuan Nguyen*2020 · 571 citations*](https://md.research.elamur.ai/free/en/papers/nguyen-2020-phobert-pre-trained-language-models/)
13. [**Evaluating Models' Local Decision Boundaries via Contrast Sets**Matt Gardner, Yoav Artzi, Victoria Basmov, et al.*2020 · 520 citations*](https://md.research.elamur.ai/free/en/papers/gardner-2020-evaluating-models-local-decision-boundaries/)
14. [**Semi-Supervised Sequence Modeling with Cross-View Training**Kevin Clark, Minh-Thang Luong, Christopher D. Manning, et al.*2018 · 489 citations*](https://md.research.elamur.ai/free/en/papers/clark-2018-semi-supervised-sequence-modeling-cross/)
15. [**Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT**Shijie Wu, Mark Dredze*2019 · 466 citations*](https://md.research.elamur.ai/free/en/papers/wu-2019-beto-bentz-becas-surprising-cross/)
16. [**From Zero to Hero: On the Limitations of Zero-Shot Language Transfer with Multilingual Transformers**Anne Lauscher, Vinit Ravishankar, Ivan Vulić, et al.*2020 · 461 citations*](https://md.research.elamur.ai/free/en/papers/lauscher-2020-zero-hero-limitations-zero-shot/)
17. [**How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models**Phillip Rust, Jonas Pfeiffer, Ivan Vulić, et al.*2021 · 444 citations*](https://md.research.elamur.ai/free/en/papers/rust-2021-how-good-is-your-tokenizer/)
18. [**Entity-Relation Extraction as Multi-Turn Question Answering**Xiaoya Li, Fan Yin, Zijun Sun, et al.*2019 · 437 citations*](https://md.research.elamur.ai/free/en/papers/li-2019-entity-relation-extraction-as-multi/)
19. [**75 Languages, 1 Model: Parsing Universal Dependencies Universally**Dan Kondratyuk, Milan Straka*2019 · 415 citations*](https://md.research.elamur.ai/free/en/papers/kondratyuk-2019-75-languages-1-model-parsing/)
20. [**Emerging Cross-lingual Structure in Pretrained Language Models**Alexis Conneau, Shijie Wu, Haoran Li, et al.*2020 · 378 citations*](https://md.research.elamur.ai/free/en/papers/conneau-2020-emerging-cross-lingual-structure-pretrained/)
21. [**Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Languages with Rich Morphology**Ran Zmigrod, Sabrina J. Mielke, Hanna Wallach, et al.*2019 · 371 citations*](https://md.research.elamur.ai/free/en/papers/zmigrod-2019-counterfactual-data-augmentation-mitigating-gender/)
22. [**Choosing Transfer Languages for Cross-Lingual Learning**Yu-Hsiang Lin, Chian-Yu Chen, Jean Lee, et al.*2019 · 313 citations*](https://md.research.elamur.ai/free/en/papers/lin-2019-choosing-transfer-languages-cross-lingual/)
23. [**A Minimal Span-Based Neural Constituency Parser**Mitchell Stern, Jacob Andreas, Dan Klein*2017 · 309 citations*](https://md.research.elamur.ai/free/en/papers/stern-2017-minimal-span-based-neural-constituency/)
24. [**UDPipe 2.0 Prototype at CoNLL 2018 UD Shared Task**Milan Straka*2018 · 303 citations*](https://md.research.elamur.ai/free/en/papers/straka-2018-udpipe-2-0-prototype-conll/)
25. [**Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency Parsing**Tal Schuster, Ori Ram, Regina Barzilay, et al.*2019 · 294 citations*](https://md.research.elamur.ai/free/en/papers/schuster-2019-cross-lingual-alignment-contextual-word/)
26. [**FlauBERT: Unsupervised Language Model Pre-training for French**Hang Le, Loïc Vial, Jibril Frej, et al.*2019 · 293 citations*](https://md.research.elamur.ai/free/en/papers/le-2019-flaubert-unsupervised-language-model-pre/)
27. [**Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little**Koustuv Sinha, Robin Jia, Dieuwke Hupkes, et al.*2021 · 292 citations*](https://md.research.elamur.ai/free/en/papers/sinha-2021-masked-language-modeling-distributional-hypothesis/)
28. [**Two are Better than One: Joint Entity and Relation Extraction with Table-Sequence Encoders**Jue Wang, Wei Lu*2020 · 286 citations*](https://md.research.elamur.ai/free/en/papers/wang-2020-two-are-better-than-one/)
29. [**Simpler but More Accurate Semantic Dependency Parsing**Timothy Dozat, Christopher D. Manning*2018 · 271 citations*](https://md.research.elamur.ai/free/en/papers/dozat-2018-simpler-but-more-accurate-semantic/)
30. [**A Monolingual Approach to Contextualized Word Embeddings for Mid-Resource Languages**Pedro Javier Ortiz Suárez, Laurent Romary, Benoît Sagot*2020 · 219 citations*](https://md.research.elamur.ai/free/en/papers/suarez-2020-monolingual-approach-contextualized-word-embeddings/)
31. [**What Happens To BERT Embeddings During Fine-tuning?**Amil Merchant, Elahe Rahimtoroghi, Ellie Pavlick, et al.*2020 · 219 citations*](https://md.research.elamur.ai/free/en/papers/merchant-2020-what-happens-bert-embeddings-during/)
32. [**Head-Driven Phrase Structure Grammar Parsing on Penn Treebank**Junru Zhou, Hai Zhao*2019 · 219 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2019-head-driven-phrase-structure-grammar/)
33. [**Massive Choice, Ample Tasks (MaChAmp): A Toolkit for Multi-task Learning in NLP**Rob van der Goot, Ahmet Üstün, Alan Ramponi, et al.*2021 · 177 citations*](https://md.research.elamur.ai/free/en/papers/goot-2021-massive-choice-ample-tasks-machamp/)
34. [**UNKs Everywhere: Adapting Multilingual Language Models to New Scripts**Jonas Pfeiffer, Ivan Vulić, Iryna Gurevych, et al.*2021 · 174 citations*](https://md.research.elamur.ai/free/en/papers/pfeiffer-2021-unks-everywhere-adapting-multilingual-language/)
35. [**AMR Parsing via Graph-Sequence Iterative Inference**Deng Cai, Wai Lam*2020 · 168 citations*](https://md.research.elamur.ai/free/en/papers/cai-2020-amr-parsing-graph-sequence-iterative/)
36. [**Efficient Second-Order TreeCRF for Neural Dependency Parsing**Yu Zhang, Zhenghua Li, Min Zhang*2020 · 145 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2020-efficient-second-order-treecrf-neural/)
37. [**Scheduled Multi-Task Learning: From Syntax to Translation**Eliyahu Kiperwasser, Miguel Ballesteros*2018 · 130 citations*](https://md.research.elamur.ai/free/en/papers/kiperwasser-2018-scheduled-multi-task-learning-syntax/)
38. [**Coreference Resolution without Span Representations**Yuval Kirstain, Ori Ram, Omer Levy*2021 · 109 citations*](https://md.research.elamur.ai/free/en/papers/kirstain-2021-coreference-resolution-without-span-representations/)
39. [**In-Order Transition-based Constituent Parsing**Jiangming Liu, Yue Zhang*2017 · 98 citations*](https://md.research.elamur.ai/free/en/papers/liu-2017-order-transition-based-constituent-parsing/)
40. [**A Unified Linear-Time Framework for Sentence-Level Discourse Parsing**Xiang Lin, Shafiq Joty, Prathyusha Jwalapuram, et al.*2019 · 94 citations*](https://md.research.elamur.ai/free/en/papers/lin-2019-unified-linear-time-framework-sentence/)
41. [**Twitter Universal Dependency Parsing for African-American and Mainstream American English**Su Lin Blodgett, Johnny Wei, Brendan O'Connor*2018 · 92 citations*](https://md.research.elamur.ai/free/en/papers/blodgett-2018-twitter-universal-dependency-parsing-african/)
42. [**Neural Coreference Resolution with Deep Biaffine Attention by Joint Mention Detection and Mention Clustering**Rui Zhang, Cícero Nogueira dos Santos, Michihiro Yasunaga, et al.*2018 · 83 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2018-neural-coreference-resolution-deep-biaffine/)
43. [**SynGEC: Syntax-Enhanced Grammatical Error Correction with a Tailored GEC-Oriented Parser**Yue Zhang, Bo Zhang, Zhenghua Li, et al.*2022 · 76 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2022-syngec-syntax-enhanced-grammatical-error/)
44. [**A Top-down Neural Architecture towards Text-level Parsing of Discourse Rhetorical Structure**Longyin Zhang, Yuqing Xing, Fang Kong, et al.*2020 · 63 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2020-top-down-neural-architecture-text/)
45. [**Evaluating and Enhancing the Robustness of Neural Network-based Dependency Parsing Models with Adversarial Examples**Xiaoqing Zheng, Jiehang Zeng, Yi Zhou, et al.*2020 · 54 citations*](https://md.research.elamur.ai/free/en/papers/zheng-2020-evaluating-enhancing-robustness-neural-network/)
46. [**Universal Dependencies Parsing for Colloquial Singaporean English**Hongmin Wang, Yue Zhang, GuangYong Leonard Chan, et al.*2017 · 49 citations*](https://md.research.elamur.ai/free/en/papers/wang-2017-universal-dependencies-parsing-colloquial-singaporean/)
47. [**Adversarial Learning for Discourse Rhetorical Structure Parsing**Longyin Zhang, Fang Kong, Guodong Zhou*2021 · 45 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2021-adversarial-learning-discourse-rhetorical-structure/)
48. [**Sentences with Gapping: Parsing and Reconstructing Elided Predicates**Sebastian Schuster, Joakim Nivre, Christopher D. Manning*2018 · 40 citations*](https://md.research.elamur.ai/free/en/papers/schuster-2018-sentences-gapping-parsing-reconstructing-elided/)
49. [**Top-down Discourse Parsing via Sequence Labelling**Fajri Koto, Jey Han Lau, Timothy Baldwin*2021 · 37 citations*](https://md.research.elamur.ai/free/en/papers/koto-2021-top-down-discourse-parsing-sequence/)
50. [**Multilingual Neural RST Discourse Parsing**Zhengyuan Liu, Ke Shi, Nancy Chen*2020 · 37 citations*](https://md.research.elamur.ai/free/en/papers/liu-2020-multilingual-neural-rst-discourse-parsing/)
51. [**Structured Dialogue Discourse Parsing**Ta-Chung Chi, Alexander Rudnicky*2022 · 34 citations*](https://md.research.elamur.ai/free/en/papers/chi-2022-structured-dialogue-discourse-parsing/)
52. [**Cross-Cultural Similarity Features for Cross-Lingual Transfer Learning of Pragmatically Motivated Tasks**Jimin Sun, Hwijeen Ahn, Chan Young Park, et al.*2021 · 28 citations*](https://md.research.elamur.ai/free/en/papers/sun-2021-cross-cultural-similarity-features-cross/)
53. [**Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement**Alireza Mohammadshahi, James Henderson*2021 · 26 citations*](https://md.research.elamur.ai/free/en/papers/mohammadshahi-2021-recursive-non-autoregressive-graph-graph/)
54. [**Can Multilingual Language Models Transfer to an Unseen Dialect? A Case Study on North African Arabizi**Benjamin Muller, Benoit Sagot, Djame Seddah*2020 · 26 citations*](https://md.research.elamur.ai/free/en/papers/muller-2020-multilingual-language-models-transfer-unseen/)
55. [**Semantic Role Labeling as Syntactic Dependency Parsing**Tianze Shi, Igor Malioutov, Ozan Irsoy*2020 · 24 citations*](https://md.research.elamur.ai/free/en/papers/shi-2020-semantic-role-labeling-as-syntactic/)
56. [**Incorporating Syntax and Semantics in Coreference Resolution with Heterogeneous Graph Attention Network**Fan Jiang, Trevor Cohn*2021 · 23 citations*](https://md.research.elamur.ai/free/en/papers/jiang-2021-incorporating-syntax-semantics-coreference-resolution/)
57. [**RobertNLP at the IWPT 2020 Shared Task: Surprisingly Simple Enhanced UD Parsing for English**Stefan Grünewald, Annemarie Friedrich*2020 · 22 citations*](https://md.research.elamur.ai/free/en/papers/grunewald-2020-robertnlp-iwpt-2020-shared-task/)
58. [**Dependency Parsing for Spoken Dialog Systems**Sam Davidson, Dian Yu, Zhou Yu*2019 · 19 citations*](https://md.research.elamur.ai/free/en/papers/davidson-2019-dependency-parsing-spoken-dialog-systems/)
59. [**A Second Wave of UD Hebrew Treebanking and Cross-Domain Parsing**Amir Zeldes, Nick Howell, Noam Ordan, et al.*2022 · 18 citations*](https://md.research.elamur.ai/free/en/papers/zeldes-2022-second-wave-ud-hebrew-treebanking/)
60. [**Applying Occam's Razor to Transformer-Based Dependency Parsing: What Works, What Doesn't, and What is Really Necessary**Stefan Grünewald, Annemarie Friedrich, Jonas Kuhn*2021 · 18 citations*](https://md.research.elamur.ai/free/en/papers/grunewald-2021-applying-occam-s-razor-transformer/)
61. [**Biaffine Dependency and Semantic Graph Parsing for EnhancedUniversal Dependencies**Giuseppe Attardi, Daniele Sartiano, Maria Simi*2021 · 18 citations*](https://md.research.elamur.ai/free/en/papers/attardi-2021-biaffine-dependency-semantic-graph-parsing/)
62. [**Hexatagging: Projective Dependency Parsing as Tagging**Afra Amini, Tianyu Liu, Ryan Cotterell*2023 · 16 citations*](https://md.research.elamur.ai/free/en/papers/amini-2023-hexatagging-projective-dependency-parsing-as/)
63. [**A Joint Model for Dropped Pronoun Recovery and Conversational Discourse Parsing in Chinese Conversational Speech**Jingxuan Yang, Kerui Xu, Jun Xu, et al.*2021 · 16 citations*](https://md.research.elamur.ai/free/en/papers/yang-2021-joint-model-dropped-pronoun-recovery/)
64. [**Coordinate Constructions in English Enhanced Universal Dependencies: Analysis and Computational Modeling**Stefan Grünewald, Prisca Piccirilli, Annemarie Friedrich*2021 · 16 citations*](https://md.research.elamur.ai/free/en/papers/grunewald-2021-coordinate-constructions-english-enhanced-universal/)
65. [**Joint Universal Syntactic and Semantic Parsing**Elias Stengel-Eskin, Kenton Murray, Sheng Zhang, et al.*2021 · 15 citations*](https://md.research.elamur.ai/free/en/papers/eskin-2021-joint-universal-syntactic-semantic-parsing/)
66. [**CamelParser2.0: A State-of-the-Art Dependency Parser for Arabic**Ahmed Elshabrawy, Muhammed AbuOdeh, Go Inoue, et al.*2023 · 13 citations*](https://md.research.elamur.ai/free/en/papers/elshabrawy-2023-camelparser2-0-state-art-dependency/)
67. [**Neural Coreference Resolution for Arabic**Abdulrahman Aloraini, Juntao Yu, Massimo Poesio*2020 · 12 citations*](https://md.research.elamur.ai/free/en/papers/aloraini-2020-neural-coreference-resolution-arabic/)
68. [**What can we learn from Semantic Tagging?**Mostafa Abdou, Artur Kulmizev, Vinit Ravishankar, et al.*2018 · 11 citations*](https://md.research.elamur.ai/free/en/papers/abdou-2018-what-can-we-learn-semantic/)
69. [**Task-Aware Self-Supervised Framework for Dialogue Discourse Parsing**Wei Li, Luyao Zhu, Wei Shao, et al.*2023 · 10 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-task-aware-self-supervised-framework/)
70. [**A Modest Pareto Optimisation Analysis of Dependency Parsers in 2021**Mark Anderson, Carlos Gómez-Rodríguez*2021 · 10 citations*](https://md.research.elamur.ai/free/en/papers/anderson-2021-modest-pareto-optimisation-analysis-dependency/)
71. [**How Much of Enhanced UD Is Contained in UD?**Adam Ek, Jean-Philippe Bernardy*2020 · 10 citations*](https://md.research.elamur.ai/free/en/papers/ek-2020-how-much-enhanced-ud-is/)
72. [**The ADAPT Enhanced Dependency Parser at the IWPT 2020 Shared Task**James Barry, Joachim Wagner, Jennifer Foster*2020 · 9 citations*](https://md.research.elamur.ai/free/en/papers/barry-2020-adapt-enhanced-dependency-parser-iwpt/)
73. [**A Closer Look into the Robustness of Neural Dependency Parsers Using Better Adversarial Examples**Yuxuan Wang, Wanxiang Che, Ivan Titov, et al.*2021 · 8 citations*](https://md.research.elamur.ai/free/en/papers/wang-2021-closer-look-into-robustness-neural/)
74. [**Integrating Graph-Based and Transition-Based Dependency Parsers in the Deep Contextualized Era**Agnieszka Falenska, Anders Björkelund, Jonas Kuhn*2020 · 8 citations*](https://md.research.elamur.ai/free/en/papers/falenska-2020-integrating-graph-based-transition-based/)
75. [**A Truly Joint Neural Architecture for Segmentation and Parsing**Danit Yshaayahu Levi, Reut Tsarfaty*2024 · 7 citations*](https://md.research.elamur.ai/free/en/papers/levi-2024-truly-joint-neural-architecture-segmentation/)
76. [**Fast and Accurate Non-Projective Dependency Tree Linearization**Xiang Yu, Simon Tannert, Ngoc Thang Vu, et al.*2020 · 7 citations*](https://md.research.elamur.ai/free/en/papers/yu-2020-fast-accurate-non-projective-dependency/)
77. [**LLM Dependency Parsing with In-Context Rules**Michael Ginn, Alexis Palmer*2025 · 5 citations*](https://md.research.elamur.ai/free/en/papers/ginn-2025-llm-dependency-parsing-context-rules/)
78. [**Syntactic Language Change in English and German: Metrics, Parsers, and Convergences**Yanran Chen, Wei Zhao, Anne Breitbarth, et al.*2024 · 5 citations*](https://md.research.elamur.ai/free/en/papers/chen-2024-syntactic-language-change-english-german/)
79. [**Improving Cross-lingual Transfer through Subtree-aware Word Reordering**Ofir Arviv, Dmitry Nikolaev, Taelin Karidi, et al.*2023 · 4 citations*](https://md.research.elamur.ai/free/en/papers/arviv-2023-improving-cross-lingual-transfer-through/)
80. [**The DCU-EPFL Enhanced Dependency Parser at the IWPT 2021 Shared Task**James Barry, Alireza Mohammadshahi, Joachim Wagner, et al.*2021 · 4 citations*](https://md.research.elamur.ai/free/en/papers/barry-2021-dcu-epfl-enhanced-dependency-parser/)
81. [**Out-of-Domain Dependency Parsing for Dialects of Arabic: A Case Study**Noor Abo Mokh, Daniel Dakota, Sandra Kübler*2024 · 3 citations*](https://md.research.elamur.ai/free/en/papers/mokh-2024-out-domain-dependency-parsing-dialects/)
82. [**Extracting Headless MWEs from Dependency Parse Trees: Parsing, Tagging, and Joint Modeling Approaches**Tianze Shi, Lillian Lee*2020 · 3 citations*](https://md.research.elamur.ai/free/en/papers/shi-2020-extracting-headless-mwes-dependency-parse/)
83. [**Comparing Neural Network Parsers for a Less-resourced and Morphologically-rich Language: Amharic Dependency Parser**Binyam Ephrem Seyoum, Yusuke Miyao, Baye Yimam Mekonnen*2020 · 2 citations*](https://md.research.elamur.ai/free/en/papers/seyoum-2020-comparing-neural-network-parsers-less/)
84. [**Arabic Sentence Segmentation Across Genres and Punctuation Conditions**Mohammed Elkholy, Khalid N. Elmadani, Nizar Habash, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/elkholy-2026-arabic-sentence-segmentation-across-genres/)
85. [**Improving Latvian Morphosyntactic Parsing with Pretrained Encoders and Analyzer-Constrained Decoding**Arturs Znotins*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/znotins-2026-improving-latvian-morphosyntactic-parsing-pretrained/)
86. [**Building UD Cairo for Old English in the Classroom**Lauren Levine, Junghyun Min, Amir Zeldes*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/levine-2025-building-ud-cairo-old-english/)
87. [**Pre-annotation Matters: A Comparative Study on POS and Dependency Annotation for an Alsatian Dialect**Delphine Bernhard, Nathanaël Beiner, Barbara Hoff*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/bernhard-2025-pre-annotation-matters-comparative-study/)
88. [**CAIT: A Syntactic Parsing Toolkit for Child–Adult InTeractions**Francesca Padovani, Xiulin Yang, Bastian Bunzeck, et al.*2026*](https://md.research.elamur.ai/free/en/papers/padovani-2026-cait-syntactic-parsing-toolkit-child/)
89. [**Encoding Logical Relations of Chinese Complex Sentences within the Universal Dependencies Framework**Hongpu Zhu, Hongzhi Xu*2026*](https://md.research.elamur.ai/free/en/papers/zhu-2026-encoding-logical-relations-chinese-complex/)
90. [**Parsing Arabic Dialects Revisited: New Benchmarks, Models, and Insights**Ahmed Farouk Zakaria Elshabrawy, Go Inoue, Muhammed AbuOdeh, et al.*2026*](https://md.research.elamur.ai/free/en/papers/elshabrawy-2026-parsing-arabic-dialects-revisited-new/)
91. [**Contribution of Linguistic Typology to Universal Dependency Parsing: An Empirical Investigation**Ali Basirat, Navid Baradaran Hemmati*2024*](https://md.research.elamur.ai/free/en/papers/basirat-2024-contribution-linguistic-typology-universal-dependency/)
92. [**Transition-based Bubble Parsing: Improvements on Coordination Structure Prediction**Tianze Shi, Lillian Lee*2021*](https://md.research.elamur.ai/free/en/papers/shi-2021-transition-based-bubble-parsing-improvements/)

535 more papers of our library cite it; they have no page here yet.

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