---
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/2/"
---
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# Who cites «A Fast and Accurate Dependency Parser using Neural Networks» · page 2

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

1. [Deeply Embedded Knowledge Representation & Reasoning For Natural Language Question Answering: A Practitioner”s Perspective](https://aclanthology.org/2020.spnlp-1.12/) *— 2020 · Proceedings of the Fourth Workshop on Structured Prediction for NLP*
2. [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*
3. [Efficient Second-Order TreeCRF for Neural Dependency Parsing](https://md.research.elamur.ai/free/en/papers/acl-2020-zhang-efficient-second-order-treecrf-neural/) *— our card · 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
4. [Emory at WNUT-2020 Task 2: Combining Pretrained Deep Learning Models and Feature Enrichment for Informative Tweet Identification](https://aclanthology.org/2020.wnut-1.54/) *— 2020 · Proceedings of the Sixth Workshop on Noisy User-generated Text (W-NUT 2020)*
5. [Enhancing a Lexicon of Polarity Shifters through the Supervised Classification of Shifting Directions](https://aclanthology.org/2020.lrec-1.616/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
6. [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*
7. [Inherent Dependency Displacement Bias of Transition-Based Algorithms](https://md.research.elamur.ai/free/en/papers/ud-2020-anderson-inherent-dependency-displacement-bias-transition/) *— our card · 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
8. [LIMIT-BERT : Linguistics Informed Multi-Task BERT](https://aclanthology.org/2020.findings-emnlp.399/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
9. [Lin: Unsupervised Extraction of Tasks from Textual Communication](https://aclanthology.org/2020.coling-main.164/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
10. [Multidirectional Associative Optimization of Function-Specific Word Representations](https://aclanthology.org/2020.acl-main.257/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
11. [One of these words is not like the other: a reproduction of outlier identification using non-contextual word representations](https://aclanthology.org/2020.eval4nlp-1.12/) *— 2020 · Proceedings of the First Workshop on Evaluation and Comparison of NLP Systems*
12. [Parsing as Tagging](https://aclanthology.org/2020.lrec-1.643/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
13. [Recognizing Sentence-level Logical Document Structures with the Help of Context-free Grammars](https://aclanthology.org/2020.lrec-1.650/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
14. [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*
15. [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*
16. [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*
17. [Semi-supervised Autoencoding Projective Dependency Parsing](https://aclanthology.org/2020.coling-main.344/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
18. [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*
19. [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*
20. [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*
21. [The Treebank of Vedic Sanskrit](https://aclanthology.org/2020.lrec-1.632/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
22. [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*
23. [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*
24. [Universal Decompositional Semantic Parsing](https://aclanthology.org/2020.acl-main.746/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
25. [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*
26. [When Beards Start Shaving Men: A Subject-object Resolution Test Suite for Morpho-syntactic and Semantic Model Introspection](https://aclanthology.org/2020.coling-main.269/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
27. [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*
28. [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)*
29. [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)*
30. [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)*
31. [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)*
32. [AiFu at SemEval-2019 Task 10: A Symbolic and Sub-symbolic Integrated System for SAT Math Question Answering](https://aclanthology.org/S19-2154/) *— 2019 · Proceedings of the 13th International Workshop on Semantic Evaluation*
33. [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*
34. [Association Metrics in Neural Transition-Based Dependency Parsing](https://aclanthology.org/W19-7722/) *— 2019 · Proceedings of the Fifth International Conference on Dependency Linguistics (Depling, SyntaxFest 2019)*
35. [Asymmetries in Extraction From Nominal Copular Sentences: a Challenging Case Study for NLP Tools](https://aclanthology.org/2019.clicit-1.32/) *— 2019 · Proceedings of the Sixth Italian Conference on Computational Linguistics (CLiC-it 2019)*
36. [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)*
37. [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)*
38. [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*
39. [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*
40. [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*
41. [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*
42. [Data mining Mandarin tone contour shapes](https://aclanthology.org/W19-4217/) *— 2019 · Proceedings of the 16th Workshop on Computational Research in Phonetics, Phonology, and Morphology*
43. [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)*
44. [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)*
45. [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)*
46. [Empirical Evaluation of Leveraging Named Entities for Arabic Sentiment Analysis](https://arxiv.org/abs/1904.10195) *— 2019 · arXiv:1904.10195*
47. [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*
48. [Extending Neural Question Answering with Linguistic Input Features](https://aclanthology.org/W19-5806/) *— 2019 · Proceedings of the 5th Workshop on Semantic Deep Learning (SemDeep-5)*
49. [GCN-Sem at SemEval-2019 Task 1: Semantic Parsing using Graph Convolutional and Recurrent Neural Networks](https://aclanthology.org/S19-2014/) *— 2019 · Proceedings of the 13th International Workshop on Semantic Evaluation*
50. [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*
51. [Global Textual Relation Embedding for Relational Understanding](https://aclanthology.org/P19-1127/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
52. [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*
53. [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*
54. [Identifying Visible Actions in Lifestyle Vlogs](https://aclanthology.org/P19-1643/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
55. [Jabberwocky Parsing: Dependency Parsing with Lexical Noise](https://aclanthology.org/W19-0112/) *— 2019 · Proceedings of the Society for Computation in Linguistics (SCiL) 2019*
56. [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)*
57. [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*
58. [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)*
59. [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*
60. [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)*
61. [Méthodes de représentation de la langue pour l'analyse syntaxique multilingue (Language representation methods for multilingual syntactic parsing )](https://aclanthology.org/2019.jeptalnrecital-recital.9/) *— 2019 · Actes de la Conférence sur le Traitement Automatique des Langues Naturelles (TALN) PFIA 2019. Volume III : RECITAL*
62. [Neural Versus Non-Neural Text Simplification: A Case Study](https://aclanthology.org/U19-1023/) *— 2019 · Proceedings of the 17th Annual Workshop of the Australasian Language Technology Association*
63. [Parsing Chinese Sentences with Grammatical Relations](https://aclanthology.org/J19-1003/) *— 2019 · Computational Linguistics*
64. [Priming vs. Inhibition of Optional Infinitival “to](https://aclanthology.org/W19-2902/) *— 2019 · Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics*
65. [Query-focused Sentence Compression in Linear Time](https://aclanthology.org/D19-1612/) *— 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)*
66. [Recursive LSTM Tree Representation for Arc-Standard Transition-Based Dependency Parsing](https://md.research.elamur.ai/free/en/papers/ud-2019-elkaref-recursive-lstm-tree-representation-arc/) *— our card · 2019 · Proceedings of the Third Workshop on Universal Dependencies (UDW, SyntaxFest 2019)*
67. [Reliability-aware Dynamic Feature Composition for Name Tagging](https://aclanthology.org/P19-1016/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
68. [Segmentation for Domain Adaptation in Arabic](https://aclanthology.org/W19-4613/) *— 2019 · Proceedings of the Fourth Arabic Natural Language Processing Workshop*
69. [Self-Attention Architectures for Answer-Agnostic Neural Question Generation](https://aclanthology.org/P19-1604/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
70. [Semi-supervised Domain Adaptation for Dependency Parsing](https://aclanthology.org/P19-1229/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
71. [Sequence Labeling Parsing by Learning across Representations](https://aclanthology.org/P19-1531/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
72. [Shift-of-Perspective Identification Within Legal Cases](https://arxiv.org/abs/1906.02430) *— 2019 · arXiv:1906.02430*
73. [Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks](https://aclanthology.org/D19-1549/) *— 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)*
74. [Syntax-aware Multi-task Graph Convolutional Networks for Biomedical Relation Extraction](https://aclanthology.org/D19-6204/) *— 2019 · Proceedings of the Tenth International Workshop on Health Text Mining and Information Analysis (LOUHI 2019)*
75. [The (Non-)Utility of Structural Features in BiLSTM-based Dependency Parsers](https://aclanthology.org/P19-1012/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
76. [The Interplay Between Loss Functions and Structural Constraints in Dependency Parsing](https://nejlt.ep.liu.se/article/view/1037) *— 2019 · Northern European Journal of Language Technology*
77. [Transition-Based Coding and Formal Language Theory for Ordered Digraphs](https://aclanthology.org/W19-3115/) *— 2019 · Proceedings of the 14th International Conference on Finite-State Methods and Natural Language Processing*
78. [Tree-Transformer: A Transformer-Based Method for Correction of Tree-Structured Data](https://arxiv.org/abs/1908.00449) *— 2019 · arXiv:1908.00449*
79. [Typological Features for Multilingual Delexicalised Dependency Parsing](https://aclanthology.org/N19-1393/) *— 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. [Unsupervised Recurrent Neural Network Grammars](https://aclanthology.org/N19-1114/) *— 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)*
81. [Vector of Locally Aggregated Embeddings for Text Representation](https://aclanthology.org/N19-1143/) *— 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. [Viable Dependency Parsing as Sequence Labeling](https://aclanthology.org/N19-1077/) *— 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. [Where's My Head? Definition, Data Set, and Models for Numeric Fused-Head Identification and Resolution](https://aclanthology.org/Q19-1030/) *— 2019 · Transactions of the Association for Computational Linguistics*
84. [Women”s Syntactic Resilience and Men”s Grammatical Luck: Gender-Bias in Part-of-Speech Tagging and Dependency Parsing](https://aclanthology.org/P19-1339/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
85. [Words are Vectors, Dependencies are Matrices: Learning Word Embeddings from Dependency Graphs](https://aclanthology.org/W19-0408/) *— 2019 · Proceedings of the 13th International Conference on Computational Semantics - Long Papers*
86. [82 Treebanks, 34 Models: Universal Dependency Parsing with Multi-Treebank Models](https://aclanthology.org/K18-2011/) *— 2018 · Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies*
87. [A Practical Incremental Learning Framework For Sparse Entity Extraction](https://aclanthology.org/C18-1059/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
88. [A Structured Syntax-Semantics Interface for English-AMR Alignment](https://md.research.elamur.ai/free/en/papers/szubert-2018-structured-syntax-semantics-interface-english/) *— 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)*
89. [A Tree-based Decoder for Neural Machine Translation](https://aclanthology.org/D18-1509/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
90. [A Word-Complexity Lexicon and A Neural Readability Ranking Model for Lexical Simplification](https://aclanthology.org/D18-1410/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
91. [Adversarial Propagation and Zero-Shot Cross-Lingual Transfer of Word Vector Specialization](https://aclanthology.org/D18-1026/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
92. [An Annotated Corpus for Machine Reading of Instructions in Wet Lab Protocols](https://aclanthology.org/N18-2016/) *— 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)*
93. [An Improved Neural Network Model for Joint POS Tagging and Dependency Parsing](https://aclanthology.org/K18-2008/) *— 2018 · Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies*
94. [An Investigation of the Interactions Between Pre-Trained Word Embeddings, Character Models and POS Tags in Dependency Parsing](https://aclanthology.org/D18-1291/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
95. [Analyse syntaxique de langues faiblement dotées à partir de plongements de mots multilingues Syntactic analysis of under-resourced languages from multilingual word embeddings](https://aclanthology.org/2018.tal-3.4/) *— 2018*
96. [Analyzing Compositionality-Sensitivity of NLI Models](https://arxiv.org/abs/1811.07033) *— 2018 · arXiv:1811.07033*
97. [Annotation of the Syntax/Semantics interface as a Bridge between Deep Linguistic Parsing and TimeML](https://aclanthology.org/W18-4706/) *— 2018 · Proceedings of the 14th Joint ACL-ISO Workshop on Interoperable Semantic Annotation*
98. [AntNLP at CoNLL 2018 Shared Task: A Graph-Based Parser for Universal Dependency Parsing](https://aclanthology.org/K18-2025/) *— 2018 · Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies*
99. [Automated Content Analysis: A Case Study of Computer Science Student Summaries](https://aclanthology.org/W18-0531/) *— 2018 · Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications*
100. [Better Transition-Based AMR Parsing with a Refined Search Space](https://aclanthology.org/D18-1198/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*

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