---
title: "Who cites Simple and Accurate Dependency Parsing Using…"
description: "The papers of the Elamur Research library that cite «Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations», found in…"
canonical: "https://research.elamur.ai/free/en/papers/narrative-2016-kiperwasser-simple-accurate-dependency-parsing-bidirectional/cited-by/page/3/"
---
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# Who cites «Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations» · page 3

288 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/narrative-2016-kiperwasser-simple-accurate-dependency-parsing-bidirectional/)

Pages: [1](https://md.research.elamur.ai/free/en/papers/narrative-2016-kiperwasser-simple-accurate-dependency-parsing-bidirectional/cited-by/) · [2](https://md.research.elamur.ai/free/en/papers/narrative-2016-kiperwasser-simple-accurate-dependency-parsing-bidirectional/cited-by/page/2/) · **3**

1. [Nightmare at test time: How punctuation prevents parsers from generalizing](https://aclanthology.org/W18-5404/) *— 2018 · Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP*
2. [Non-Projective Dependency Parsing with Non-Local Transitions](https://aclanthology.org/N18-2109/) *— 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)*
3. [On Difficulties of Cross-Lingual Transfer with Order Differences: A Case Study on Dependency Parsing](https://arxiv.org/abs/1811.00570) *— 2018 · arXiv:1811.00570*
4. [Parameter sharing between dependency parsers for related languages](https://aclanthology.org/D18-1543/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
5. [Parser Training with Heterogeneous Treebanks](https://aclanthology.org/P18-2098/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
6. [Parsing Italian Texts Together is Better Than Parsing Them Alone!](https://aclanthology.org/2018.clicit-1.7/) *— 2018 · Proceedings of the Fifth Italian Conference on Computational Linguistics (CLiC-it 2018)*
7. [Parsing Tweets into Universal Dependencies](https://md.research.elamur.ai/free/en/papers/ud-2018-liu-parsing-tweets-into-universal-dependencies/) *— our card · 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)*
8. [Pivot Based Language Modeling for Improved Neural Domain Adaptation](https://aclanthology.org/N18-1112/) *— 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)*
9. [PoSTWITA-UD: an Italian Twitter Treebank in Universal Dependencies](https://aclanthology.org/L18-1279/) *— 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)*
10. [Policy Gradient as a Proxy for Dynamic Oracles in Constituency Parsing](https://aclanthology.org/P18-2075/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
11. [Reduction of Parameter Redundancy in Biaffine Classifiers with Symmetric and Circulant Weight Matrices](https://aclanthology.org/Y18-1052/) *— 2018 · Proceedings of the 32nd Pacific Asia Conference on Language, Information and Computation*
12. [SEx BiST: A Multi-Source Trainable Parser with Deep Contextualized Lexical Representations](https://aclanthology.org/K18-2014/) *— 2018 · Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies*
13. [Scene Graph Parsing as Dependency Parsing](https://aclanthology.org/N18-1037/) *— 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)*
14. [Scheduled Multi-Task Learning: From Syntax to Translation](https://aclanthology.org/Q18-1017/) *— 2018 · Transactions of the Association for Computational Linguistics*
15. [Seq2seq Dependency Parsing](https://aclanthology.org/C18-1271/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
16. [Simultaneously Self-Attending to All Mentions for Full-Abstract Biological Relation Extraction](https://aclanthology.org/N18-1080/) *— 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)*
17. [Sprucing up the trees – Error detection in treebanks](https://aclanthology.org/C18-1010/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
18. [Stack-Pointer Networks for Dependency Parsing](https://aclanthology.org/P18-1130/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
19. [Strong Baselines for Neural Semi-Supervised Learning under Domain Shift](https://aclanthology.org/P18-1096/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
20. [Surface Statistics of an Unknown Language Indicate How to Parse It](https://aclanthology.org/Q18-1046/) *— 2018 · Transactions of the Association for Computational Linguistics*
21. [Synthetic Data Made to Order: The Case of Parsing](https://aclanthology.org/D18-1163/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
22. [Towards Dynamic Computation Graphs via Sparse Latent Structure](https://aclanthology.org/D18-1108/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
23. [Two Local Models for Neural Constituent Parsing](https://aclanthology.org/C18-1011/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
24. [Universal Dependency Parsing for Hindi-English Code-Switching](https://aclanthology.org/N18-1090/) *— 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)*
25. [Universal Dependency Parsing with a General Transition-Based DAG Parser](https://aclanthology.org/K18-2010/) *— 2018 · Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies*
26. [Valency-Augmented Dependency Parsing](https://aclanthology.org/D18-1159/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
27. [VnCoreNLP: A Vietnamese Natural Language Processing Toolkit](https://aclanthology.org/N18-5012/) *— 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations*
28. [What do character-level models learn about morphology? The case of dependency parsing](https://aclanthology.org/D18-1278/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
29. [A BiLSTM-based System for Cross-lingual Pronoun Prediction](https://aclanthology.org/W17-4805/) *— 2017 · Proceedings of the Third Workshop on Discourse in Machine Translation*
30. [A Dependency Treebank for Kurmanji Kurdish](https://aclanthology.org/W17-6509/) *— 2017 · Proceedings of the Fourth International Conference on Dependency Linguistics (Depling 2017)*
31. [A Minimal Span-Based Neural Constituency Parser](https://aclanthology.org/P17-1076/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
32. [A Novel Neural Network Model for Joint POS Tagging and Graph-based Dependency Parsing](https://aclanthology.org/K17-3014/) *— 2017 · Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies*
33. [A Sequential Model for Classifying Temporal Relations between Intra-Sentence Events](https://aclanthology.org/D17-1190/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
34. [A Simple and Accurate Syntax-Agnostic Neural Model for Dependency-based Semantic Role Labeling](https://md.research.elamur.ai/free/en/papers/marcheggiani-2017-simple-accurate-syntax-agnostic-neural/) *— our card · 2017 · Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017)*
35. [A Transition-Based Directed Acyclic Graph Parser for UCCA](https://aclanthology.org/P17-1104/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
36. [A Universal Dependencies Treebank for Marathi](https://aclanthology.org/W17-7623/) *— 2017 · Proceedings of the 16th International Workshop on Treebanks and Linguistic Theories*
37. [Annotation, Modelling and Analysis of Fine-Grained Emotions on a Stance and Sentiment Detection Corpus](https://aclanthology.org/W17-5203/) *— 2017 · Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis*
38. [Arc-Hybrid Non-Projective Dependency Parsing with a Static-Dynamic Oracle](https://aclanthology.org/W17-6314/) *— 2017 · Proceedings of the 15th International Conference on Parsing Technologies*
39. [Arc-Standard Spinal Parsing with Stack-LSTMs](https://aclanthology.org/W17-6316/) *— 2017 · Proceedings of the 15th International Conference on Parsing Technologies*
40. [Arc-swift: A Novel Transition System for Dependency Parsing](https://md.research.elamur.ai/free/en/papers/ud-2017-qi-arc-swift-novel-transition-system/) *— our card · 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
41. [Argument Mining with Structured SVMs and RNNs](https://aclanthology.org/P17-1091/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
42. [Combining Global Models for Parsing Universal Dependencies](https://aclanthology.org/K17-3003/) *— 2017 · Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies*
43. [Cross-Lingual Dependency Parsing with Late Decoding for Truly Low-Resource Languages](https://aclanthology.org/E17-1021/) *— 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers*
44. [Deep Multitask Learning for Semantic Dependency Parsing](https://aclanthology.org/P17-1186/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
45. [Dependency Parsing with Dilated Iterated Graph CNNs](https://aclanthology.org/W17-4301/) *— 2017 · Proceedings of the 2nd Workshop on Structured Prediction for Natural Language Processing*
46. [Don't Stop Me Now! Using Global Dynamic Oracles to Correct Training Biases of Transition-Based Dependency Parsers](https://aclanthology.org/E17-2051/) *— 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers*
47. [DyNet: The Dynamic Neural Network Toolkit](https://arxiv.org/abs/1701.03980) *— 2017 · arXiv:1701.03980*
48. [Efficient Discontinuous Phrase-Structure Parsing via the Generalized Maximum Spanning Arborescence](https://aclanthology.org/D17-1172/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
49. [Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling](https://arxiv.org/abs/1703.04826) *— 2017 · arXiv:1703.04826*
50. [End-to-End Neural Relation Extraction with Global Optimization](https://aclanthology.org/D17-1182/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
51. [Entity Identification as Multitasking](https://aclanthology.org/W17-4302/) *— 2017 · Proceedings of the 2nd Workshop on Structured Prediction for Natural Language Processing*
52. [Exploiting Structure in Parsing to 1-Endpoint-Crossing Graphs](https://aclanthology.org/W17-6312/) *— 2017 · Proceedings of the 15th International Conference on Parsing Technologies*
53. [Fast(er) Exact Decoding and Global Training for Transition-Based Dependency Parsing via a Minimal Feature Set](https://aclanthology.org/D17-1002/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
54. [From Raw Text to Universal Dependencies - Look, No Tags!](https://aclanthology.org/K17-3022/) *— 2017 · Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies*
55. [Improving a Strong Neural Parser with Conjunction-Specific Features](https://md.research.elamur.ai/free/en/papers/aclbulk-2017-ficler-improving-strong-neural-parser-conjunction/) *— our card · 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers*
56. [In-Order Transition-based Constituent Parsing](https://aclanthology.org/Q17-1029/) *— 2017 · Transactions of the Association for Computational Linguistics*
57. [Incremental Discontinuous Phrase Structure Parsing with the GAP Transition](https://aclanthology.org/E17-1118/) *— 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers*
58. [Incremental Graph-based Neural Dependency Parsing](https://aclanthology.org/D17-1173/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
59. [Learning Contextually Informed Representations for Linear-Time Discourse Parsing](https://aclanthology.org/D17-1133/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
60. [Learning What”s Easy: Fully Differentiable Neural Easy-First Taggers](https://aclanthology.org/D17-1036/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
61. [Learning to select data for transfer learning with Bayesian Optimization](https://aclanthology.org/D17-1038/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
62. [Leveraging Newswire Treebanks for Parsing Conversational Data with Argument Scrambling](https://aclanthology.org/W17-6309/) *— 2017 · Proceedings of the 15th International Conference on Parsing Technologies*
63. [Multi-task Domain Adaptation for Sequence Tagging](https://aclanthology.org/W17-2612/) *— 2017 · Proceedings of the 2nd Workshop on Representation Learning for NLP*
64. [Multilingual Lexicalized Constituency Parsing with Word-Level Auxiliary Tasks](https://aclanthology.org/E17-2053/) *— 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers*
65. [Neural Discontinuous Constituency Parsing](https://aclanthology.org/D17-1174/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
66. [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)*
67. [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)*
68. [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)*
69. [Reconstruction of Word Embeddings from Sub-Word Parameters](https://aclanthology.org/W17-4119/) *— 2017 · Proceedings of the First Workshop on Subword and Character Level Models in NLP*
70. [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*
71. [Robust Incremental Neural Semantic Graph Parsing](https://aclanthology.org/P17-1112/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
72. [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*
73. [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*
74. [UParse: the Edinburgh system for the CoNLL 2017 UD shared task](https://aclanthology.org/K17-3010/) *— 2017 · Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies*
75. [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)*
76. [Universal Semantic Parsing](https://aclanthology.org/D17-1009/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
77. [An empirical study for Vietnamese dependency parsing](https://aclanthology.org/U16-1017/) *— 2016 · Proceedings of the Australasian Language Technology Association Workshop 2016*
78. [Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies](https://aclanthology.org/Q16-1037/) *— 2016*
79. [Challenges of Computational Processing of Code-Switching](https://aclanthology.org/W16-5801/) *— 2016 · Proceedings of the Second Workshop on Computational Approaches to Code Switching*
80. [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*
81. [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*
82. [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)*
83. [Keystroke dynamics as signal for shallow syntactic parsing](https://aclanthology.org/C16-1059/) *— 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers*
84. [Multilingual Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Models and Auxiliary Loss](https://arxiv.org/abs/1604.05529) *— 2016 · arXiv:1604.05529*
85. [Neural Shift-Reduce CCG Semantic Parsing](https://aclanthology.org/D16-1183/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
86. [Span-Based Constituency Parsing with a Structure-Label System and Provably Optimal Dynamic Oracles](https://arxiv.org/abs/1612.06475) *— 2016 · arXiv:1612.06475*
87. [The SIGMORPHON 2016 Shared Task–-Morphological Reinflection](https://aclanthology.org/W16-2002/) *— 2016 · Proceedings of the 14th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology*
88. [What Do Recurrent Neural Network Grammars Learn About Syntax?](https://arxiv.org/abs/1611.05774) *— 2016 · arXiv:1611.05774*

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