[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/cited-by/missing-2014-chen-fast-accurate-dependency-parser-neural/)

[home](https://md.mova.elamur.ai/free/en/) / [docs](https://md.mova.elamur.ai/free/en/docs/) / [papers](https://md.mova.elamur.ai/free/en/docs/papers/) / [cited-by](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/) / Who cites «A Fast and Accurate Dependency Parser using Neural Networks»

# 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.mova.elamur.ai/free/en/docs/papers/missing-2014-chen-fast-accurate-dependency-parser-neural/)

Pages: **1** · [2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/missing-2014-chen-fast-accurate-dependency-parser-neural-2/) · [3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/missing-2014-chen-fast-accurate-dependency-parser-neural-3/) · [4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/missing-2014-chen-fast-accurate-dependency-parser-neural-4/) · [5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/missing-2014-chen-fast-accurate-dependency-parser-neural-5/) · [6](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/missing-2014-chen-fast-accurate-dependency-parser-neural-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. [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*
3. [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)*
4. [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)*
5. [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*
6. [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*
7. [Limpeh ga li gong: Challenges in Singlish Annotations](https://arxiv.org/abs/2410.16156) *— 2024 · arXiv:2410.16156*
8. [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)*
9. [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*
10. [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*
11. [Hexatagging: Projective Dependency Parsing as Tagging](https://md.mova.elamur.ai/free/en/docs/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)*
12. [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*
13. [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*
14. [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)*
15. [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*
16. [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)*
17. [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*
18. [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)*
19. [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*
20. [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*
21. [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*
22. [Transition-based Abstract Meaning Representation Parsing with Contextual Embeddings](https://arxiv.org/abs/2206.06229) *— 2022 · arXiv:2206.06229*
23. [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*
24. [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*
25. [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*
26. [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)*
27. [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)*
28. [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)*
29. [AI-enabled Automation for Completeness Checking of Privacy Policies](https://arxiv.org/abs/2106.05688) *— 2021 · arXiv:2106.05688*
30. [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*
31. [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*
32. [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*
33. [Grammar-Based Concept Alignment for Domain-Specific Machine Translation](https://md.mova.elamur.ai/free/en/docs/papers/masciolini-2021-grammar-based-concept-alignment-domain/) *— our card · 2021 · Proceedings of the Seventh International Workshop on Controlled Natural Language (CNL 2020/21)*
34. [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*
35. [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*
36. [Joint Universal Syntactic and Semantic Parsing](https://aclanthology.org/2021.tacl-1.46/) *— 2021*
37. [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*
38. [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)*
39. [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)*
40. [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*
41. [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)*
42. [Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement](https://md.mova.elamur.ai/free/en/docs/papers/ud-2021-mohammadshahi-recursive-non-autoregressive-graph-graph/) *— our card · 2021*
43. [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)*
44. [SemLink 2.0: Chasing Lexical Resources](https://md.mova.elamur.ai/free/en/docs/papers/stowe-2021-semlink-2-0-chasing-lexical/) *— our card · 2021 · Proceedings of the 14th International Conference on Computational Semantics (IWCS)*
45. [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*
46. [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*
47. [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*
48. [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)*
49. [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*
50. [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*
51. [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*
52. [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*
53. [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)*
54. [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*
55. [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)*
56. [Comparing Neural Network Parsers for a Less-resourced and Morphologically-rich Language: Amharic Dependency Parser](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2020-seyoum-comparing-neural-network-parsers-less/) *— our card · 2020*
57. [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*
58. [Dependency Parsing for Urdu: Resources, Conversions and Learning](https://aclanthology.org/2020.lrec-1.640/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
59. [Efficient Second-Order TreeCRF for Neural Dependency Parsing](https://md.mova.elamur.ai/free/en/docs/papers/acl-2020-zhang-efficient-second-order-treecrf-neural/) *— our card · 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
60. [Entity-Aware Dependency-Based Deep Graph Attention Network for Comparative Preference Classification](https://aclanthology.org/2020.acl-main.512/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
61. [Inherent Dependency Displacement Bias of Transition-Based Algorithms](https://md.mova.elamur.ai/free/en/docs/papers/ud-2020-anderson-inherent-dependency-displacement-bias-transition/) *— our card · 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
62. [LIMIT-BERT : Linguistics Informed Multi-Task BERT](https://aclanthology.org/2020.findings-emnlp.399/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
63. [Parsing as Tagging](https://aclanthology.org/2020.lrec-1.643/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
64. [Relational Graph Attention Network for Aspect-based Sentiment Analysis](https://aclanthology.org/2020.acl-main.295/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
65. [Scalable Cross-lingual Treebank Synthesis for Improved Production Dependency Parsers](https://aclanthology.org/2020.coling-industry.16/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics: Industry Track*
66. [Scene Graph Modification Based on Natural Language Commands](https://aclanthology.org/2020.findings-emnlp.87/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
67. [Semi-supervised Domain Adaptation for Dependency Parsing via Improved Contextualized Word Representations](https://aclanthology.org/2020.coling-main.338/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
68. [Semi-supervised Parsing with a Variational Autoencoding Parser](https://aclanthology.org/2020.iwpt-1.5/) *— 2020 · Proceedings of the 16th International Conference on Parsing Technologies and the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies*
69. [Syntactic Graph Convolutional Network for Spoken Language Understanding](https://aclanthology.org/2020.coling-main.246/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
70. [The Treebank of Vedic Sanskrit](https://aclanthology.org/2020.lrec-1.632/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
71. [The Unstoppable Rise of Computational Linguistics in Deep Learning](https://aclanthology.org/2020.acl-main.561/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
72. [Treebank Embedding Vectors for Out-of-Domain Dependency Parsing](https://aclanthology.org/2020.acl-main.778/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
73. [Universal Decompositional Semantic Parsing](https://aclanthology.org/2020.acl-main.746/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
74. [VICTR: Visual Information Captured Text Representation for Text-to-Vision Multimodal Tasks](https://aclanthology.org/2020.coling-main.277/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
75. [半监督跨领域语义依存分析技术研究(Semi-supervised Domain Adaptation for Semantic Dependency Parsing)](https://aclanthology.org/2020.ccl-1.73/) *— 2020 · Proceedings of the 19th Chinese National Conference on Computational Linguistics*
76. [A Search-based Neural Model for Biomedical Nested and Overlapping Event Detection](https://aclanthology.org/D19-1381/) *— 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)*
77. [A Simple and Robust Approach to Detecting Subject-Verb Agreement Errors](https://aclanthology.org/N19-1251/) *— 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)*
78. [A Systematic Study of Leveraging Subword Information for Learning Word Representations](https://aclanthology.org/N19-1097/) *— 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)*
79. [A Variational Approach to Weakly Supervised Document-Level Multi-Aspect Sentiment Classification](https://aclanthology.org/N19-1036/) *— 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)*
80. [An Empirical Investigation of Structured Output Modeling for Graph-based Neural Dependency Parsing](https://aclanthology.org/P19-1562/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
81. [Better, Faster, Stronger Sequence Tagging Constituent Parsers](https://aclanthology.org/N19-1341/) *— 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)*
82. [Biomedical Event Extraction based on Knowledge-driven Tree-LSTM](https://aclanthology.org/N19-1145/) *— 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)*
83. [CUNY-PKU Parser at SemEval-2019 Task 1: Cross-Lingual Semantic Parsing with UCCA](https://aclanthology.org/S19-2012/) *— 2019 · Proceedings of the 13th International Workshop on Semantic Evaluation*
84. [Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling](https://aclanthology.org/P19-1439/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
85. [Compound Probabilistic Context-Free Grammars for Grammar Induction](https://aclanthology.org/P19-1228/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
86. [Curate and Generate: A Corpus and Method for Joint Control of Semantics and Style in Neural NLG](https://aclanthology.org/P19-1596/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
87. [Deep Contextualized Word Embeddings in Transition-Based and Graph-Based Dependency Parsing - A Tale of Two Parsers Revisited](https://aclanthology.org/D19-1277/) *— 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)*
88. [Detecting Cybersecurity Events from Noisy Short Text](https://aclanthology.org/N19-1138/) *— 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)*
89. [Do We Really Need Fully Unsupervised Cross-Lingual Embeddings?](https://aclanthology.org/D19-1449/) *— 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)*
90. [Empirical Evaluation of Leveraging Named Entities for Arabic Sentiment Analysis](https://arxiv.org/abs/1904.10195) *— 2019 · arXiv:1904.10195*
91. [Entity-Relation Extraction as Multi-Turn Question Answering](https://aclanthology.org/P19-1129/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
92. [GKR: Bridging the Gap between Symbolic/structural and Distributional Meaning Representations](https://aclanthology.org/W19-3305/) *— 2019 · Proceedings of the First International Workshop on Designing Meaning Representations*
93. [Graph-based Dependency Parsing with Graph Neural Networks](https://aclanthology.org/P19-1237/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
94. [Head-Driven Phrase Structure Grammar Parsing on Penn Treebank](https://aclanthology.org/P19-1230/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
95. [Identifying Visible Actions in Lifestyle Vlogs](https://aclanthology.org/P19-1643/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
96. [Keep Calm and Switch On! Preserving Sentiment and Fluency in Semantic Text Exchange](https://aclanthology.org/D19-1272/) *— 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)*
97. [Language Modeling with Syntactic and Semantic Representation for Sentence Acceptability Predictions](https://aclanthology.org/W19-6108/) *— 2019 · Proceedings of the 22nd Nordic Conference on Computational Linguistics*
98. [Left-to-Right Dependency Parsing with Pointer Networks](https://aclanthology.org/N19-1076/) *— 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)*
99. [Morpheus: A Neural Network for Jointly Learning Contextual Lemmatization and Morphological Tagging](https://aclanthology.org/W19-4205/) *— 2019 · Proceedings of the 16th Workshop on Computational Research in Phonetics, Phonology, and Morphology*
100. [Multiplex Word Embeddings for Selectional Preference Acquisition](https://aclanthology.org/D19-1528/) *— 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)*

Pages: **1** · [2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/missing-2014-chen-fast-accurate-dependency-parser-neural-2/) · [3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/missing-2014-chen-fast-accurate-dependency-parser-neural-3/) · [4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/missing-2014-chen-fast-accurate-dependency-parser-neural-4/) · [5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/missing-2014-chen-fast-accurate-dependency-parser-neural-5/) · [6](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/missing-2014-chen-fast-accurate-dependency-parser-neural-6/)

- [← previous Who cites «MCTest: A Challenge Dataset for the Open-Domain Machine Comprehension of Text» · page 3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/missing-2013-richardson-mctest-challenge-dataset-open-domain-3/)
- [next → Who cites «A Fast and Accurate Dependency Parser using Neural Networks» · page 2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/missing-2014-chen-fast-accurate-dependency-parser-neural-2/)
- [↑ back to papers/cited-by/](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/)