---
title: "Who cites A Fast and Accurate Dependency Parser using…"
description: "506 papers of the Elamur Research library cite «A Fast and Accurate Dependency Parser using Neural Networks», found in their bibliographies; the most…"
canonical: "https://research.elamur.ai/free/en/papers/chen-2014-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/chen-2014-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/chen-2014-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 (of the 140,884 whose bibliographies we read) · 64 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/chen-2014-fast-accurate-dependency-parser-neural/)

1. [**End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures**Makoto Miwa, Mohit Bansal*2016 · 1,596 citations*](https://md.research.elamur.ai/free/en/papers/miwa-2016-end-end-relation-extraction-lstms/)
2. [**Deep Biaffine Attention for Neural Dependency Parsing**Timothy Dozat, Christopher D. Manning*2016 · 1,320 citations*](https://md.research.elamur.ai/free/en/papers/dozat-2016-deep-biaffine-attention-neural-dependency/)
3. [**Deep Unordered Composition Rivals Syntactic Methods for Text Classification**Mohit Iyyer, Varun Manjunatha, Jordan Boyd-Graber, et al.*2015 · 914 citations*](https://md.research.elamur.ai/free/en/papers/iyyer-2015-deep-unordered-composition-rivals-syntactic/)
4. [**Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations**Eliyahu Kiperwasser, Yoav Goldberg*2016 · 903 citations*](https://md.research.elamur.ai/free/en/papers/kiperwasser-2016-simple-accurate-dependency-parsing-bidirectional/)
5. [**Transition-Based Dependency Parsing with Stack Long Short-Term Memory**Chris Dyer, Miguel Ballesteros, Wang Ling, et al.*2015 · 857 citations*](https://md.research.elamur.ai/free/en/papers/dyer-2015-transition-based-dependency-parsing-stack/)
6. [**End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF**Xuezhe Ma, Eduard Hovy*2016 · 852 citations*](https://md.research.elamur.ai/free/en/papers/ma-2016-end-end-sequence-labeling-bi/)
7. [**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/)
8. [**An Improved Non-monotonic Transition System for Dependency Parsing**Matthew Honnibal, Mark Johnson*2015 · 749 citations*](https://md.research.elamur.ai/free/en/papers/honnibal-2015-improved-non-monotonic-transition-system/)
9. [**A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task**Danqi Chen, Jason Bolton, Christopher D. Manning*2016 · 689 citations*](https://md.research.elamur.ai/free/en/papers/chen-2016-thorough-examination-cnn-daily-mail/)
10. [**Globally Normalized Transition-Based Neural Networks**Daniel Andor, Chris Alberti, David Weiss, et al.*2016 · 676 citations*](https://md.research.elamur.ai/free/en/papers/andor-2016-globally-normalized-transition-based-neural/)
11. [**Two/Too Simple Adaptations of Word2Vec for Syntax Problems**Wang Ling, Chris Dyer, Alan W. Black, et al.*2015 · 504 citations*](https://md.research.elamur.ai/free/en/papers/ling-2015-two-too-simple-adaptations-word2vec/)
12. [**Demographic Dialectal Variation in Social Media: A Case Study of African-American English**Su Lin Blodgett, Lisa Green, Brendan O'Connor*2016 · 470 citations*](https://md.research.elamur.ai/free/en/papers/blodgett-2016-demographic-dialectal-variation-social-media/)
13. [**Learning to Generate Reviews and Discovering Sentiment**Alec Radford, Rafal Jozefowicz, Ilya Sutskever*2017 · 467 citations*](https://md.research.elamur.ai/free/en/papers/radford-2017-learning-generate-reviews-discovering-sentiment/)
14. [**Representation Learning Using Multi-Task Deep Neural Networks for Semantic Classification and Information Retrieval**Xiaodong Liu, Jianfeng Gao, Xiaodong He, et al.*2015 · 463 citations*](https://md.research.elamur.ai/free/en/papers/liu-2015-representation-learning-multi-task-deep/)
15. [**Bilingual Word Representations with Monolingual Quality in Mind**Thang Luong, Hieu Pham, Christopher D. Manning*2015 · 453 citations*](https://md.research.elamur.ai/free/en/papers/luong-2015-bilingual-word-representations-monolingual-quality/)
16. [**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/)
17. [**Improved Transition-based Parsing by Modeling Characters instead of Words with LSTMs**Miguel Ballesteros, Chris Dyer, Noah A. Smith*2015 · 401 citations*](https://md.research.elamur.ai/free/en/papers/ballesteros-2015-improved-transition-based-parsing-modeling/)
18. [**Many Languages, One Parser**Waleed Ammar, George Mulcaire, Miguel Ballesteros, et al.*2016 · 382 citations*](https://md.research.elamur.ai/free/en/papers/ammar-2016-many-languages-one-parser/)
19. [**Enhanced English Universal Dependencies: An Improved Representation for Natural Language Understanding Tasks**Sebastian Schuster, Christopher D. Manning*2016 · 335 citations*](https://md.research.elamur.ai/free/en/papers/schuster-2016-enhanced-english-universal-dependencies-improved/)
20. [**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/)
21. [**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/)
22. [**Finding Function in Form: Compositional Character Models for Open Vocabulary Word Representation**Wang Ling, Tiago Luis, Luis Marujo, et al.*2015 · 301 citations*](https://md.research.elamur.ai/free/en/papers/ling-2015-finding-function-form-compositional-character/)
23. [**Survey: Multiword Expression Processing: A Survey**Mathieu Constant, Gülşen Eryiǧit, Johanna Monti, et al.*2017 · 296 citations*](https://md.research.elamur.ai/free/en/papers/constant-2017-survey-multiword-expression-processing-survey/)
24. [**Cross-lingual Dependency Parsing Based on Distributed Representations**Jiang Guo, Wanxiang Che, David Yarowsky, et al.*2015 · 269 citations*](https://md.research.elamur.ai/free/en/papers/guo-2015-cross-lingual-dependency-parsing-based/)
25. [**Neural End-to-End Learning for Computational Argumentation Mining**Steffen Eger, Johannes Daxenberger, Iryna Gurevych*2017 · 263 citations*](https://md.research.elamur.ai/free/en/papers/eger-2017-neural-end-end-learning-computational/)
26. [**A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence Classification**Ye Zhang, Byron Wallace*2017 · 254 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2017-sensitivity-analysis-practitioners-guide-convolutional/)
27. [**Linguistic Input Features Improve Neural Machine Translation**Rico Sennrich, Barry Haddow*2016 · 230 citations*](https://md.research.elamur.ai/free/en/papers/sennrich-2016-linguistic-input-features-improve-neural/)
28. [**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/)
29. [**One Vector is Not Enough: Entity-Augmented Distributed Semantics for Discourse Relations**Yangfeng Ji, Jacob Eisenstein*2015 · 198 citations*](https://md.research.elamur.ai/free/en/papers/ji-2015-one-vector-is-not-enough/)
30. [**OneStopEnglish corpus: A new corpus for automatic readability assessment and text simplification**Sowmya Vajjala, Ivana Lučić*2018 · 191 citations*](https://md.research.elamur.ai/free/en/papers/vajjala-2018-onestopenglish-corpus-new-corpus-automatic/)
31. [**Span-Based Constituency Parsing with a Structure-Label System and Provably Optimal Dynamic Oracles**James Cross, Liang Huang*2016 · 191 citations*](https://md.research.elamur.ai/free/en/papers/cross-2016-span-based-constituency-parsing-structure/)
32. [**Tweet Sarcasm Detection Using Deep Neural Network**Meishan Zhang, Yue Zhang, Guohong Fu*2016 · 189 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2016-tweet-sarcasm-detection-deep-neural/)
33. [**It Depends: Dependency Parser Comparison Using A Web-based Evaluation Tool**Jinho D. Choi, Joel Tetreault, Amanda Stent*2015 · 169 citations*](https://md.research.elamur.ai/free/en/papers/choi-2015-it-depends-dependency-parser-comparison/)
34. [**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/)
35. [**Mapping to Declarative Knowledge for Word Problem Solving**Subhro Roy, Dan Roth*2018 · 143 citations*](https://md.research.elamur.ai/free/en/papers/roy-2018-mapping-declarative-knowledge-word-problem/)
36. [**LSTM CCG Parsing**Mike Lewis, Kenton Lee, Luke Zettlemoyer*2016 · 120 citations*](https://md.research.elamur.ai/free/en/papers/lewis-2016-lstm-ccg-parsing/)
37. [**An Incremental Parser for Abstract Meaning Representation**Marco Damonte, Shay B. Cohen, Giorgio Satta*2017 · 117 citations*](https://md.research.elamur.ai/free/en/papers/damonte-2017-incremental-parser-abstract-meaning-representation/)
38. [**Two Practical Rhetorical Structure Theory Parsers**Mihai Surdeanu, Tom Hicks, Marco Antonio Valenzuela-Escárcega*2015 · 113 citations*](https://md.research.elamur.ai/free/en/papers/surdeanu-2015-two-practical-rhetorical-structure-theory/)
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. [**Event Coreference Resolution by Iteratively Unfolding Inter-dependencies among Events**Prafulla Kumar Choubey, Ruihong Huang*2017 · 97 citations*](https://md.research.elamur.ai/free/en/papers/choubey-2017-event-coreference-resolution-iteratively-unfolding/)
41. [**Compound Probabilistic Context-Free Grammars for Grammar Induction**Yoon Kim, Chris Dyer, Alexander Rush*2019 · 79 citations*](https://md.research.elamur.ai/free/en/papers/kim-2019-compound-probabilistic-context-free-grammars/)
42. [**Cross-lingual RST Discourse Parsing**Chloé Braud, Maximin Coavoux, Anders Søgaard*2017 · 49 citations*](https://md.research.elamur.ai/free/en/papers/braud-2017-cross-lingual-rst-discourse-parsing/)
43. [**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/)
44. [**Representations and Architectures in Neural Sentiment Analysis for Morphologically Rich Languages: A Case Study from Modern Hebrew**Adam Amram, Anat Ben David, Reut Tsarfaty*2018 · 40 citations*](https://md.research.elamur.ai/free/en/papers/amram-2018-representations-architectures-neural-sentiment-analysis/)
45. [**Arc-swift: A Novel Transition System for Dependency Parsing**Peng Qi, Christopher D. Manning*2017 · 39 citations*](https://md.research.elamur.ai/free/en/papers/qi-2017-arc-swift-novel-transition-system/)
46. [**Ontology-Aware Token Embeddings for Prepositional Phrase Attachment**Pradeep Dasigi, Waleed Ammar, Chris Dyer, et al.*2017 · 35 citations*](https://md.research.elamur.ai/free/en/papers/dasigi-2017-ontology-aware-token-embeddings-prepositional/)
47. [**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/)
48. [**When Annotation Schemes Change Rules Help: A Configurable Approach to Coreference Resolution beyond OntoNotes**Amir Zeldes, Shuo Zhang*2016 · 31 citations*](https://md.research.elamur.ai/free/en/papers/zeldes-2016-when-annotation-schemes-change-rules/)
49. [**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/)
50. [**A Structured Syntax-Semantics Interface for English-AMR Alignment**Ida Szubert, Adam Lopez, Nathan Schneider*2018 · 26 citations*](https://md.research.elamur.ai/free/en/papers/szubert-2018-structured-syntax-semantics-interface-english/)
51. [**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/)
52. [**An Evaluation of Parser Robustness for Ungrammatical Sentences**Homa B. Hashemi, Rebecca Hwa*2016 · 18 citations*](https://md.research.elamur.ai/free/en/papers/hashemi-2016-evaluation-parser-robustness-ungrammatical-sentences/)
53. [**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/)
54. [**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/)
55. [**SemLink 2.0: Chasing Lexical Resources**Kevin Stowe, Jenette Preciado, Kathryn Conger, et al.*2021 · 15 citations*](https://md.research.elamur.ai/free/en/papers/stowe-2021-semlink-2-0-chasing-lexical/)
56. [**A non-projective greedy dependency parser with bidirectional LSTMs**David Vilares, Carlos Gómez-Rodríguez*2017 · 12 citations*](https://md.research.elamur.ai/free/en/papers/vilares-2017-non-projective-greedy-dependency-parser/)
57. [**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/)
58. [**Towards JointUD: Part-of-speech Tagging and Lemmatization using Recurrent Neural Networks**Gor Arakelyan, Karen Hambardzumyan, Hrant Khachatrian*2018 · 10 citations*](https://md.research.elamur.ai/free/en/papers/arakelyan-2018-jointud-part-speech-tagging-lemmatization/)
59. [**Universal Grammatical Dependencies for Portuguese with CINTIL Data, LX Processing and CLARIN support**António Branco, João Ricardo Silva, Luís Gomes, et al.*2022 · 8 citations*](https://md.research.elamur.ai/free/en/papers/branco-2022-universal-grammatical-dependencies-portuguese-cintil/)
60. [**Inherent Dependency Displacement Bias of Transition-Based Algorithms**Mark Anderson, Carlos Gómez-Rodríguez*2020 · 5 citations*](https://md.research.elamur.ai/free/en/papers/anderson-2020-inherent-dependency-displacement-bias-transition/)
61. [**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/)
62. [**Grammar-Based Concept Alignment for Domain-Specific Machine Translation**Arianna Masciolini, Aarne Ranta*2020 · 2 citations*](https://md.research.elamur.ai/free/en/papers/masciolini-2021-grammar-based-concept-alignment-domain/)
63. [**Prepositional Phrase Attachment over Word Embedding Products**Pranava Swaroop Madhyastha, Xavier Carreras, Ariadna Quattoni*2017 · 1 citation*](https://md.research.elamur.ai/free/en/papers/madhyastha-2017-prepositional-phrase-attachment-over-word/)
64. [**Recursive LSTM Tree Representation for Arc-Standard Transition-Based Dependency Parsing**Mohab Elkaref, Bernd Bohnet*2019*](https://md.research.elamur.ai/free/en/papers/elkaref-2019-recursive-lstm-tree-representation-arc/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/chen-2014-fast-accurate-dependency-parser-neural/) — A Fast and Accurate Dependency Parser using Neural Networks