---
title: "Who cites A Fast and Accurate Dependency Parser using…"
description: "The papers of the Elamur Research library that cite «A Fast and Accurate Dependency Parser using Neural Networks», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/missing-2014-chen-fast-accurate-dependency-parser-neural/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/missing-2014-chen-fast-accurate-dependency-parser-neural/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [A Fast and Accurate Dependency Parser using…](https://md.research.elamur.ai/free/en/papers/missing-2014-chen-fast-accurate-dependency-parser-neural/) / cited by

# Who cites «A Fast and Accurate Dependency Parser using Neural Networks»

506 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-2014-chen-fast-accurate-dependency-parser-neural/)

Pages: **1** · [2](https://md.research.elamur.ai/free/en/papers/missing-2014-chen-fast-accurate-dependency-parser-neural/cited-by/page/2/) · … · [6](https://md.research.elamur.ai/free/en/papers/missing-2014-chen-fast-accurate-dependency-parser-neural/cited-by/page/6/)

1. [Mapping the Course for Prompt-based Structured Prediction](https://aclanthology.org/2026.eacl-long.160/) *— 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
2. [Branching Out: Exploration of Chinese Dependency Parsing with Fine-tuned Large Language Models](https://aclanthology.org/2025.ranlp-1.166/) *— 2025 · Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing - Natural Language Processing in the Generative AI Era*
3. [Data-centric NLP Backdoor Defense from the Lens of Memorization](https://aclanthology.org/2025.findings-naacl.316/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
4. [Domain Regeneration: How well do LLMs match syntactic properties of text domains?](https://aclanthology.org/2025.findings-acl.120/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
5. [大语言模型可以分析花园幽径句吗?–-基于跨语言数据集的实证研究](https://aclanthology.org/2025.ccl-1.43/) *— 2025 · Proceedings of the 24th China National Conference on Computational Linguistics (CCL 2025)*
6. [Are Female Carpenters like Blue Bananas? A Corpus Investigation of Occupation Gender Typicality](https://aclanthology.org/2024.findings-acl.253/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
7. [Dependencies over Times and Tools (DoTT)](https://aclanthology.org/2024.lrec-main.415/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
8. [Holistic Exploration on Universal Decompositional Semantic Parsing: Architecture, Data Augmentation, and LLM Paradigm](https://aclanthology.org/2024.sighan-1.6/) *— 2024 · Proceedings of the 10th SIGHAN Workshop on Chinese Language Processing (SIGHAN-10)*
9. [Is there Gender Bias in Dependency Parsing? Revisiting “Women's Syntactic Resilience](https://aclanthology.org/2024.gebnlp-1.17/) *— 2024 · Proceedings of the 5th Workshop on Gender Bias in Natural Language Processing (GeBNLP)*
10. [Large Language Models: A New Approach for Privacy Policy Analysis at Scale](https://arxiv.org/abs/2405.20900) *— 2024 · arXiv:2405.20900 · Computing, vol. 106, no. 12, pp. 3879-3903, 2024*
11. [Large-Scale Bitext Corpora Provide New Evidence for Cognitive Representations of Spatial Terms](https://aclanthology.org/2024.eacl-long.66/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
12. [Leveraging pre-trained language models for linguistic analysis: A case of argument structure constructions](https://aclanthology.org/2024.emnlp-main.415/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
13. [Limpeh ga li gong: Challenges in Singlish Annotations](https://arxiv.org/abs/2410.16156) *— 2024 · arXiv:2410.16156*
14. [Multilevel Analysis of Biomedical Domain Adaptation of Llama 2: What Matters the Most? A Case Study](https://aclanthology.org/2024.bionlp-1.36/) *— 2024 · Proceedings of the 23rd Workshop on Biomedical Natural Language Processing*
15. [The Role of Syntactic Span Preferences in Post-Hoc Explanation Disagreement](https://aclanthology.org/2024.lrec-main.1397/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
16. [Threat Behavior Textual Search by Attention Graph Isomorphism](https://aclanthology.org/2024.eacl-long.160/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
17. [An Argument Structure Construction Treebank](https://aclanthology.org/2023.cxgsnlp-1.7/) *— 2023 · Proceedings of the First International Workshop on Construction Grammars and NLP (CxGs+NLP, GURT/SyntaxFest 2023)*
18. [Assessment of Pre-Trained Models Across Languages and Grammars](https://aclanthology.org/2023.ijcnlp-main.23/) *— 2023 · Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
19. [End-to-end Dependency Parsing via Auto-regressive Large Language Model](https://aclanthology.org/2023.clicit-1.30/) *— 2023 · Proceedings of the Ninth Italian Conference on Computational Linguistics (CLiC-it 2023)*
20. [Exploiting Emotion-Semantic Correlations for Empathetic Response Generation](https://aclanthology.org/2023.findings-emnlp.320/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
21. [FastKASSIM: A Fast Tree Kernel-Based Syntactic Similarity Metric](https://aclanthology.org/2023.eacl-main.17/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
22. [GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks](https://aclanthology.org/2023.findings-acl.649/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
23. [Hexatagging: Projective Dependency Parsing as Tagging](https://md.research.elamur.ai/free/en/papers/acl-2023-amini-hexatagging-projective-dependency-parsing-as/) *— our card · 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
24. [Linear-Time Modeling of Linguistic Structure: An Order-Theoretic Perspective](https://aclanthology.org/2023.emnlp-main.52/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
25. [Mandarin classifier systems optimize to accommodate communicative pressures](https://aclanthology.org/2023.findings-emnlp.843/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
26. [Symbolization, Prompt, and Classification: A Framework for Implicit Speaker Identification in Novels](https://aclanthology.org/2023.findings-emnlp.225/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
27. [Systematic Investigation of Strategies Tailored for Low-Resource Settings for Low-Resource Dependency Parsing](https://aclanthology.org/2023.eacl-main.158/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
28. [Tibetan Dependency Parsing with Graph Convolutional Neural Networks](https://aclanthology.org/2023.alp-1.24/) *— 2023 · Proceedings of the Ancient Language Processing Workshop*
29. [To token or not to token: A Comparative Study of Text Representations for Cross-Lingual Transfer](https://aclanthology.org/2023.mrl-1.6/) *— 2023 · Proceedings of the 3rd Workshop on Multi-lingual Representation Learning (MRL)*
30. [Algorithms for Weighted Pushdown Automata](https://aclanthology.org/2022.emnlp-main.656/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
31. [BiSyn-GAT+: Bi-Syntax Aware Graph Attention Network for Aspect-based Sentiment Analysis](https://aclanthology.org/2022.findings-acl.144/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
32. [CMB AI Lab at SemEval-2022 Task 11: A Two-Stage Approach for Complex Named Entity Recognition via Span Boundary Detection and Span Classification](https://aclanthology.org/2022.semeval-1.221/) *— 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)*
33. [Co-training an Unsupervised Constituency Parser with Weak Supervision](https://aclanthology.org/2022.findings-acl.101/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
34. [DDI-MuG: Multi-aspect Graphs for Drug-Drug Interaction Extraction](https://aclanthology.org/2022.louhi-1.15/) *— 2022 · Proceedings of the 13th International Workshop on Health Text Mining and Information Analysis (LOUHI)*
35. [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)*
36. [Disentangled Action Recognition with Knowledge Bases](https://aclanthology.org/2022.naacl-main.41/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
37. [Exploring diversity in back translation for low-resource machine translation](https://aclanthology.org/2022.deeplo-1.8/) *— 2022 · Proceedings of the Third Workshop on Deep Learning for Low-Resource Natural Language Processing*
38. [Headed-Span-Based Projective Dependency Parsing](https://aclanthology.org/2022.acl-long.155/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
39. [It”s Better to Teach Fishing than Giving a Fish: An Auto-Augmented Structure-aware Generative Model for Metaphor Detection](https://aclanthology.org/2022.findings-emnlp.46/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
40. [Label Refinement via Contrastive Learning for Distantly-Supervised Named Entity Recognition](https://aclanthology.org/2022.findings-naacl.203/) *— 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
41. [Learning to Borrow– Relation Representation for Without-Mention Entity-Pairs for Knowledge Graph Completion](https://aclanthology.org/2022.naacl-main.209/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
42. [Modeling Compositionality with Dependency Graph for Dialogue Generation](https://aclanthology.org/2022.suki-1.2/) *— 2022 · Proceedings of the Workshop on Structured and Unstructured Knowledge Integration (SUKI)*
43. [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*
44. [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*
45. [RELATE: Generating a linguistically inspired Knowledge Graph for fine-grained emotion classification](https://aclanthology.org/2022.lrec-1.679/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
46. [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)*
47. [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*
48. [Teaching Neural Module Networks to Do Arithmetic](https://aclanthology.org/2022.coling-1.129/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
49. [The Impact of Edge Displacement Vaserstein Distance on UD Parsing Performance](https://aclanthology.org/2022.cl-3.2/) *— 2022 · Computational Linguistics*
50. [Transition-based Abstract Meaning Representation Parsing with Contextual Embeddings](https://arxiv.org/abs/2206.06229) *— 2022 · arXiv:2206.06229*
51. [Universal Grammatical Dependencies for Portuguese with CINTIL Data, LX Processing and CLARIN support](https://aclanthology.org/2022.lrec-1.603/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
52. [\guillemotrighttextklang\guillemotleft – Towards a Multi-Modal Exploration Platform for German Poetry](https://aclanthology.org/2022.lrec-1.572/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
53. [专业技术文本关键词抽取方法(Keyword Extraction on Professional Technical Text)](https://aclanthology.org/2022.ccl-1.14/) *— 2022 · Proceedings of the 21st Chinese National Conference on Computational Linguistics*
54. [A Little Pretraining Goes a Long Way: A Case Study on Dependency Parsing Task for Low-resource Morphologically Rich Languages](https://aclanthology.org/2021.eacl-srw.16/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop*
55. [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)*
56. [A Neural Transition-based Model for Argumentation Mining](https://aclanthology.org/2021.acl-long.497/) *— 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)*
57. [A Span-Based Model for Joint Overlapped and Discontinuous Named Entity Recognition](https://aclanthology.org/2021.acl-long.372/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
58. [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*
59. [AI-enabled Automation for Completeness Checking of Privacy Policies](https://arxiv.org/abs/2106.05688) *— 2021 · arXiv:2106.05688*
60. [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*
61. [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)*
62. [Attentive Tree-structured Network for Monotonicity Reasoning](https://aclanthology.org/2021.naloma-1.3/) *— 2021 · Proceedings of the 1st and 2nd Workshops on Natural Logic Meets Machine Learning (NALOMA)*
63. [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*
64. [Duluth at SemEval-2021 Task 11: Applying DeBERTa to Contributing Sentence Selection and Dependency Parsing for Entity Extraction](https://aclanthology.org/2021.semeval-1.60/) *— 2021 · Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)*
65. [Emerging English Transitives over the Last Two Centuries](https://aclanthology.org/2021.scil-1.7/) *— 2021 · Proceedings of the Society for Computation in Linguistics 2021*
66. [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*
67. [Evaluating a Joint Training Approach for Learning Cross-lingual Embeddings with Sub-word Information without Parallel Corpora on Lower-resource Languages](https://aclanthology.org/2021.starsem-1.29/) *— 2021 · Proceedings of *SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics*
68. [Global Explainability of BERT-Based Evaluation Metrics by Disentangling along Linguistic Factors](https://aclanthology.org/2021.emnlp-main.701/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
69. [Grammar-Based Concept Alignment for Domain-Specific Machine Translation](https://md.research.elamur.ai/free/en/papers/masciolini-2021-grammar-based-concept-alignment-domain/) *— our card · 2021 · Proceedings of the Seventh International Workshop on Controlled Natural Language (CNL 2020/21)*
70. [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*
71. [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*
72. [Joint Universal Syntactic and Semantic Parsing](https://aclanthology.org/2021.tacl-1.46/) *— 2021*
73. [LSOIE: A Large-Scale Dataset for Supervised Open Information Extraction](https://aclanthology.org/2021.eacl-main.222/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
74. [Learning PyTorch Through A Neural Dependency Parsing Exercise](https://aclanthology.org/2021.teachingnlp-1.10/) *— 2021 · Proceedings of the Fifth Workshop on Teaching NLP*
75. [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)*
76. [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)*
77. [Multiple Tasks Integration: Tagging, Syntactic and Semantic Parsing as a Single Task](https://aclanthology.org/2021.eacl-main.66/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
78. [Not All Linearizations Are Equally Data-Hungry in Sequence Labeling Parsing](https://aclanthology.org/2021.ranlp-1.111/) *— 2021 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)*
79. [Powering Comparative Classification with Sentiment Analysis via Domain Adaptive Knowledge Transfer](https://aclanthology.org/2021.emnlp-main.546/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
80. [Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement](https://md.research.elamur.ai/free/en/papers/ud-2021-mohammadshahi-recursive-non-autoregressive-graph-graph/) *— our card · 2021*
81. [SemEval-2021 Task 11: NLPContributionGraph - Structuring Scholarly NLP Contributions for a Research Knowledge Graph](https://aclanthology.org/2021.semeval-1.44/) *— 2021 · Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)*
82. [SemLink 2.0: Chasing Lexical Resources](https://md.research.elamur.ai/free/en/papers/stowe-2021-semlink-2-0-chasing-lexical/) *— our card · 2021 · Proceedings of the 14th International Conference on Computational Semantics (IWCS)*
83. [Semantic Novelty Detection in Natural Language Descriptions](https://aclanthology.org/2021.emnlp-main.66/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
84. [Syntax-BERT: Improving Pre-trained Transformers with Syntax Trees](https://aclanthology.org/2021.eacl-main.262/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
85. [TexSmart: A System for Enhanced Natural Language Understanding](https://aclanthology.org/2021.acl-demo.1/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: System Demonstrations*
86. [Variational Weakly Supervised Sentiment Analysis with Posterior Regularization](https://aclanthology.org/2021.eacl-main.285/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
87. [Verb Metaphor Detection via Contextual Relation Learning](https://aclanthology.org/2021.acl-long.327/) *— 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)*
88. [融合多粒度特征的低资源语言词性标记和依存分析联合模型(A Joint Model with Multi-Granularity Features of Low-resource Language POS Tagging and Dependency Parsing)](https://aclanthology.org/2021.ccl-1.67/) *— 2021 · Proceedings of the 20th Chinese National Conference on Computational Linguistics*
89. [A Cognitively Motivated Approach to Spatial Information Extraction](https://aclanthology.org/2020.splu-1.3/) *— 2020 · Proceedings of the Third International Workshop on Spatial Language Understanding*
90. [A Joint Deep Contextualized Word Representation for Deep Biaffine Dependency Parsing](https://aclanthology.org/2020.vlsp-1.10/) *— 2020 · Proceedings of the 7th International Workshop on Vietnamese Language and Speech Processing*
91. [A Neural Local Coherence Analysis Model for Clarity Text Scoring](https://aclanthology.org/2020.coling-main.194/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
92. [A Simple and Effective Dependency Parser for Telugu](https://aclanthology.org/2020.acl-srw.19/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop*
93. [Abusive Language Detection using Syntactic Dependency Graphs](https://aclanthology.org/2020.alw-1.6/) *— 2020 · Proceedings of the Fourth Workshop on Online Abuse and Harms*
94. [Adaptation of Word-Level Benchmark Datasets for Relation-Level Metaphor Identification](https://aclanthology.org/2020.figlang-1.22/) *— 2020 · Proceedings of the Second Workshop on Figurative Language Processing*
95. [An Effective Transition-based Model for Discontinuous NER](https://aclanthology.org/2020.acl-main.520/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
96. [Annotating Temporal Dependency Graphs via Crowdsourcing](https://aclanthology.org/2020.emnlp-main.432/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
97. [Be Different to Be Better! A Benchmark to Leverage the Complementarity of Language and Vision](https://aclanthology.org/2020.findings-emnlp.248/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
98. [Causal Inference of Script Knowledge](https://aclanthology.org/2020.emnlp-main.612/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
99. [Comparing Neural Network Parsers for a Less-resourced and Morphologically-rich Language: Amharic Dependency Parser](https://md.research.elamur.ai/free/en/papers/aclbulk-2020-seyoum-comparing-neural-network-parsers-less/) *— our card · 2020 · Proceedings of the first workshop on Resources for African Indigenous Languages*
100. [DRTS Parsing with Structure-Aware Encoding and Decoding](https://aclanthology.org/2020.acl-main.609/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*

Pages: **1** · [2](https://md.research.elamur.ai/free/en/papers/missing-2014-chen-fast-accurate-dependency-parser-neural/cited-by/page/2/) · … · [6](https://md.research.elamur.ai/free/en/papers/missing-2014-chen-fast-accurate-dependency-parser-neural/cited-by/page/6/)