---
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/page/4/"
---
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# Who cites «A Fast and Accurate Dependency Parser using Neural Networks» · page 4

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

1. [Initializing Convolutional Filters with Semantic Features for Text Classification](https://aclanthology.org/D17-1201/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
2. [Joining Hands: Exploiting Monolingual Treebanks for Parsing of Code-mixing Data](https://aclanthology.org/E17-2052/) *— 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers*
3. [Joint UD Parsing of Norwegian Bokmål and Nynorsk](https://aclanthology.org/W17-0201/) *— 2017 · Proceedings of the 21st Nordic Conference on Computational Linguistics*
4. [Large-scale evaluation of dependency-based DSMs: Are they worth the effort?](https://aclanthology.org/E17-2063/) *— 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers*
5. [Learning Phrase Embeddings from Paraphrases with GRUs](https://aclanthology.org/W17-5603/) *— 2017 · Proceedings of the First Workshop on Curation and Applications of Parallel and Comparable Corpora*
6. [Learning to Generate Reviews and Discovering Sentiment](https://arxiv.org/abs/1704.01444) *— 2017 · arXiv:1704.01444*
7. [Learning to Prune: Exploring the Frontier of Fast and Accurate Parsing](https://aclanthology.org/Q17-1019/) *— 2017 · Transactions of the Association for Computational Linguistics*
8. [Linguistically Rich Vector Representations of Supertags for TAG Parsing](https://aclanthology.org/W17-6213/) *— 2017 · Proceedings of the 13th International Workshop on Tree Adjoining Grammars and Related Formalisms*
9. [MITRE at SemEval-2017 Task 1: Simple Semantic Similarity](https://aclanthology.org/S17-2027/) *— 2017 · Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)*
10. [MUSST: A Multilingual Syntactic Simplification Tool](https://aclanthology.org/I17-3007/) *— 2017 · Proceedings of the IJCNLP 2017, System Demonstrations*
11. [Machine Translation and Automated Analysis of the Sumerian Language](https://aclanthology.org/W17-2202/) *— 2017 · Proceedings of the Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature*
12. [Measurement Context Extraction from Text: Discovering Opportunities and Gaps in Earth Science](https://arxiv.org/abs/1710.04312) *— 2017 · arXiv:1710.04312 · 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Data-Driven Discovery Workshop, Halifax, Canada, August 2017*
13. [Modélisation de dépendances entre étiquettes dans les réseaux neuronaux récurrents Tag dependency modeling in recurrent neural networks](https://aclanthology.org/2017.tal-1.1/) *— 2017*
14. [Morph-fitting: Fine-Tuning Word Vector Spaces with Simple Language-Specific Rules](https://aclanthology.org/P17-1006/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
15. [Neural End-to-End Learning for Computational Argumentation Mining](https://aclanthology.org/P17-1002/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
16. [Neural Joint Model for Transition-based Chinese Syntactic Analysis](https://aclanthology.org/P17-1111/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
17. [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)*
18. [Ontology-Aware Token Embeddings for Prepositional Phrase Attachment](https://md.research.elamur.ai/free/en/papers/onto-2017-dasigi-ontology-aware-token-embeddings-prepositional/) *— our card · 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
19. [Prepositional Phrase Attachment over Word Embedding Products](https://md.research.elamur.ai/free/en/papers/lingbulk-2017-madhyastha-prepositional-phrase-attachment-over-word/) *— our card · 2017 · Proceedings of the 15th International Conference on Parsing Technologies*
20. [Quote Extraction and Attribution from Norwegian Newspapers](https://aclanthology.org/W17-0241/) *— 2017 · Proceedings of the 21st Nordic Conference on Computational Linguistics*
21. [Real-valued Syntactic Word Vectors (RSV) for Greedy Neural Dependency Parsing](https://aclanthology.org/W17-0203/) *— 2017 · Proceedings of the 21st Nordic Conference on Computational Linguistics*
22. [Représentation et analyse automatique des discontinuités syntaxiques dans les corpus arborés en constituants du français (Representation and parsing of syntactic discontinuities in French constituent treebanks)](https://aclanthology.org/2017.jeptalnrecital-long.6/) *— 2017 · Actes des 24ème Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 - Articles longs*
23. [Results of the fifth edition of the BioASQ Challenge](https://aclanthology.org/W17-2306/) *— 2017 · Proceedings of the 16th BioNLP Workshop*
24. [Robust Training under Linguistic Adversity](https://aclanthology.org/E17-2004/) *— 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers*
25. [Semantic Specialization of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints](https://aclanthology.org/Q17-1022/) *— 2017 · Transactions of the Association for Computational Linguistics*
26. [Semi-supervised Structured Prediction with Neural CRF Autoencoder](https://aclanthology.org/D17-1179/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
27. [Shift-Reduce Constituent Parsing with Neural Lookahead Features](https://aclanthology.org/Q17-1004/) *— 2017 · Transactions of the Association for Computational Linguistics*
28. [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*
29. [Survey: Multiword Expression Processing: A Survey](https://aclanthology.org/J17-4005/) *— 2017*
30. [Syntax Aware LSTM model for Semantic Role Labeling](https://aclanthology.org/W17-4305/) *— 2017 · Proceedings of the 2nd Workshop on Structured Prediction for Natural Language Processing*
31. [TAG Parser Evaluation using Textual Entailments](https://aclanthology.org/W17-6214/) *— 2017 · Proceedings of the 13th International Workshop on Tree Adjoining Grammars and Related Formalisms*
32. [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*
33. [TTI-COIN at SemEval-2017 Task 10: Investigating Embeddings for End-to-End Relation Extraction from Scientific Papers](https://aclanthology.org/S17-2172/) *— 2017 · Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)*
34. [Tackling Error Propagation through Reinforcement Learning: A Case of Greedy Dependency Parsing](https://aclanthology.org/E17-1064/) *— 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers*
35. [Tell Me Why: Using Question Answering as Distant Supervision for Answer Justification](https://aclanthology.org/K17-1009/) *— 2017 · Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017)*
36. [Toward Universal Dependencies for Ainu](https://aclanthology.org/W17-0417/) *— 2017 · Proceedings of the NoDaLiDa 2017 Workshop on Universal Dependencies (UDW 2017)*
37. [Transition-Based Deep Input Linearization](https://aclanthology.org/E17-1061/) *— 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers*
38. [TurkuNLP: Delexicalized Pre-training of Word Embeddings for Dependency Parsing](https://aclanthology.org/K17-3012/) *— 2017 · Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies*
39. [Universal Dependencies Parsing for Colloquial Singaporean English](https://md.research.elamur.ai/free/en/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)*
40. [Using Stanford Part-of-Speech Tagger for the Morphologically-rich Filipino Language](https://aclanthology.org/Y17-1014/) *— 2017 · Proceedings of the 31st Pacific Asia Conference on Language, Information and Computation*
41. [Using Word Embedding for Cross-Language Plagiarism Detection](https://aclanthology.org/E17-2066/) *— 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers*
42. [What do we need to know about an unknown word when parsing German](https://aclanthology.org/W17-4117/) *— 2017 · Proceedings of the First Workshop on Subword and Character Level Models in NLP*
43. [Word Ordering as Unsupervised Learning Towards Syntactically Plausible Word Representations](https://aclanthology.org/I17-1008/) *— 2017 · Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
44. [A Fast Unified Model for Parsing and Sentence Understanding](https://aclanthology.org/P16-1139/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
45. [A House United: Bridging the Script and Lexical Barrier between Hindi and Urdu](https://aclanthology.org/C16-1039/) *— 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers*
46. [A Parallel-Hierarchical Model for Machine Comprehension on Sparse Data](https://aclanthology.org/P16-1041/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
47. [A Theme-Rewriting Approach for Generating Algebra Word Problems](https://aclanthology.org/D16-1168/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
48. [A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task](https://arxiv.org/abs/1606.02858) *— 2016 · arXiv:1606.02858*
49. [A Universal Framework for Inductive Transfer Parsing across Multi-typed Treebanks](https://aclanthology.org/C16-1002/) *— 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers*
50. [A sense-based lexicon of count and mass expressions: The Bochum English Countability Lexicon](https://aclanthology.org/L16-1447/) *— 2016 · Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)*
51. [A subtree-based factorization of dependency parsing](https://aclanthology.org/C16-1057/) *— 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers*
52. [An Evaluation of Parser Robustness for Ungrammatical Sentences](https://md.research.elamur.ai/free/en/papers/aclbulk-2016-hashemi-evaluation-parser-robustness-ungrammatical-sentences/) *— our card · 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
53. [An empirical study for Vietnamese dependency parsing](https://aclanthology.org/U16-1017/) *— 2016 · Proceedings of the Australasian Language Technology Association Workshop 2016*
54. [Bi-directional Attention with Agreement for Dependency Parsing](https://aclanthology.org/D16-1238/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
55. [Context-Dependent Sense Embedding](https://aclanthology.org/D16-1018/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
56. [Cross-lingual transfer parser from Hindi to Bengali using delexicalization and chunking](https://aclanthology.org/W16-6313/) *— 2016 · Proceedings of the 13th International Conference on Natural Language Processing*
57. [Crowdsourcing a Multi-lingual Speech Corpus: Recording, Transcription and Annotation of the CrowdIS Corpora](https://aclanthology.org/L16-1340/) *— 2016 · Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)*
58. [Deep Biaffine Attention for Neural Dependency Parsing](https://md.research.elamur.ai/free/en/papers/missing-2016-dozat-deep-biaffine-attention-neural-dependency/) *— our card · 2016 · arXiv:1611.01734*
59. [Deep Multi-Task Learning with Shared Memory for Text Classification](https://aclanthology.org/D16-1012/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
60. [Demographic Dialectal Variation in Social Media: A Case Study of African-American English](https://aclanthology.org/D16-1120/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
61. [Determining the Multiword Expression Inventory of a Surprise Language](https://aclanthology.org/C16-1046/) *— 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers*
62. [Distilling an Ensemble of Greedy Dependency Parsers into One MST Parser](https://aclanthology.org/D16-1180/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
63. [Easy-First Dependency Parsing with Hierarchical Tree LSTMs](https://aclanthology.org/Q16-1032/) *— 2016*
64. [Edinburgh's Statistical Machine Translation Systems for WMT16](https://aclanthology.org/W16-2327/) *— 2016 · Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers*
65. [Efficient Structured Inference for Transition-Based Parsing with Neural Networks and Error States](https://aclanthology.org/Q16-1014/) *— 2016*
66. [Embedding Lexical Features via Low-Rank Tensors](https://aclanthology.org/N16-1117/) *— 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
67. [End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures](https://aclanthology.org/P16-1105/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
68. [End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF](https://arxiv.org/abs/1603.01354) *— 2016 · arXiv:1603.01354*
69. [Enhanced English Universal Dependencies: An Improved Representation for Natural Language Understanding Tasks](https://md.research.elamur.ai/free/en/papers/ud-2016-schuster-enhanced-english-universal-dependencies-improved/) *— our card · 2016 · Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)*
70. [Evaluating Embeddings using Syntax-based Classification Tasks as a Proxy for Parser Performance](https://aclanthology.org/W16-2512/) *— 2016 · Proceedings of the 1st Workshop on Evaluating Vector-Space Representations for NLP*
71. [Evaluating a Deterministic Shift-Reduce Neural Parser for Constituent Parsing](https://aclanthology.org/L16-1104/) *— 2016 · Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)*
72. [Evaluating embeddings on dictionary-based similarity](https://aclanthology.org/W16-2514/) *— 2016 · Proceedings of the 1st Workshop on Evaluating Vector-Space Representations for NLP*
73. [Expectation-Regulated Neural Model for Event Mention Extraction](https://aclanthology.org/N16-1045/) *— 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
74. [Expected F-Measure Training for Shift-Reduce Parsing with Recurrent Neural Networks](https://aclanthology.org/N16-1025/) *— 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
75. [Exploiting Linguistic Features for Sentence Completion](https://aclanthology.org/P16-2071/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
76. [Extracting Case Law Sentences for Argumentation about the Meaning of Statutory Terms](https://aclanthology.org/W16-2806/) *— 2016 · Proceedings of the Third Workshop on Argument Mining (ArgMining2016)*
77. [Globally Normalized Transition-Based Neural Networks](https://aclanthology.org/P16-1231/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
78. [Graph-based Dependency Parsing with Bidirectional LSTM](https://aclanthology.org/P16-1218/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
79. [Improved Word Embeddings with Implicit Structure Information](https://aclanthology.org/C16-1227/) *— 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers*
80. [Incremental Parsing with Minimal Features Using Bi-Directional LSTM](https://aclanthology.org/P16-2006/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
81. [Intrinsic Evaluations of Word Embeddings: What Can We Do Better?](https://aclanthology.org/W16-2507/) *— 2016 · Proceedings of the 1st Workshop on Evaluating Vector-Space Representations for NLP*
82. [Introducing DRAIL – a Step Towards Declarative Deep Relational Learning](https://aclanthology.org/W16-5906/) *— 2016 · Proceedings of the Workshop on Structured Prediction for NLP*
83. [Is “Universal Syntax” Universally Useful for Learning Distributed Word Representations?](https://aclanthology.org/P16-2084/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
84. [Jointly Learning to Embed and Predict with Multiple Languages](https://aclanthology.org/P16-1190/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
85. [Know-Center at SemEval-2016 Task 5: Using Word Vectors with Typed Dependencies for Opinion Target Expression Extraction](https://aclanthology.org/S16-1042/) *— 2016 · Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)*
86. [LSTM CCG Parsing](https://md.research.elamur.ai/free/en/papers/aclbulk-2016-lewis-lstm-ccg-parsing/) *— our card · 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
87. [LSTM Shift-Reduce CCG Parsing](https://aclanthology.org/D16-1181/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
88. [Linguistic Input Features Improve Neural Machine Translation](https://aclanthology.org/W16-2209/) *— 2016 · Proceedings of the First Conference on Machine Translation: Volume 1, Research Papers*
89. [M2L at SemEval-2016 Task 8: AMR Parsing with Neural Networks](https://aclanthology.org/S16-1178/) *— 2016 · Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)*
90. [MGNC-CNN: A Simple Approach to Exploiting Multiple Word Embeddings for Sentence Classification](https://aclanthology.org/N16-1178/) *— 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
91. [Making Dependency Labeling Simple, Fast and Accurate](https://aclanthology.org/N16-1126/) *— 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
92. [Many Languages, One Parser](https://aclanthology.org/Q16-1031/) *— 2016 · Transactions of the Association for Computational Linguistics*
93. [Mapping Unseen Words to Task-Trained Embedding Spaces](https://aclanthology.org/W16-1612/) *— 2016 · Proceedings of the 1st Workshop on Representation Learning for NLP*
94. [Modeling Selectional Preferences of Verbs and Nouns in String-to-Tree Machine Translation](https://aclanthology.org/W16-2204/) *— 2016 · Proceedings of the First Conference on Machine Translation: Volume 1, Research Papers*
95. [Modelling Radiological Language with Bidirectional Long Short-Term Memory Networks](https://aclanthology.org/W16-6103/) *— 2016 · Proceedings of the Seventh International Workshop on Health Text Mining and Information Analysis*
96. [Morphological Priors for Probabilistic Neural Word Embeddings](https://aclanthology.org/D16-1047/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
97. [N-best Rescoring for Parsing Based on Dependency-Based Word Embeddings](https://aclanthology.org/O16-3002/) *— 2016 · International Journal of Computational Linguistics & Chinese Language Processing, Volume 21, Number 2, December 2016*
98. [NORMAS at SemEval-2016 Task 1: SEMSIM: A Multi-Feature Approach to Semantic Text Similarity](https://aclanthology.org/S16-1111/) *— 2016 · Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)*
99. [Neural Network for Heterogeneous Annotations](https://aclanthology.org/D16-1070/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
100. [Neural Network-Based Model for Japanese Predicate Argument Structure Analysis](https://aclanthology.org/P16-1117/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*

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