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home / docs / papers / cited-by / Who cites «A Fast and Accurate Dependency Parser using Neural Networks» · page 3

Who cites «A Fast and Accurate Dependency Parser using Neural Networks» · page 3

506 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

Pages: 1 · 2 · 3 · 4 · 5 · 6

  1. DLATK: Differential Language Analysis ToolKit — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
  2. Dependency Parsing with Dilated Iterated Graph CNNs — 2017 · Proceedings of the 2nd Workshop on Structured Prediction for Natural Language Processing
  3. Event Coreference Resolution by Iteratively Unfolding Inter-dependencies among Events — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
  4. Fast(er) Exact Decoding and Global Training for Transition-Based Dependency Parsing via a Minimal Feature Set — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
  5. Framing QA as Building and Ranking Intersentence Answer Justifications — 2017 · Computational Linguistics
  6. From Characters to Words to in Between: Do We Capture Morphology? — 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  7. Greedy Transition-Based Dependency Parsing with Stack LSTMs — 2017 · Computational Linguistics
  8. Hybrid Grammars for Parsing of Discontinuous Phrase Structures and Non-Projective Dependency Structures — 2017
  9. Identifying Products in Online Cybercrime Marketplaces: A Dataset for Fine-grained Domain Adaptation — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
  10. Identifying Where to Focus in Reading Comprehension for Neural Question Generation — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
  11. Improved Word Representation Learning with Sememes — 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  12. Improving Sequence to Sequence Neural Machine Translation by Utilizing Syntactic Dependency Information — 2017 · Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
  13. In-Order Transition-based Constituent Parsing — 2017 · Transactions of the Association for Computational Linguistics
  14. Incremental Graph-based Neural Dependency Parsing — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
  15. Initializing Convolutional Filters with Semantic Features for Text Classification — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
  16. Joining Hands: Exploiting Monolingual Treebanks for Parsing of Code-mixing Data — 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers
  17. Joint UD Parsing of Norwegian Bokmål and Nynorsk — 2017 · Proceedings of the 21st Nordic Conference on Computational Linguistics
  18. Large-scale evaluation of dependency-based DSMs: Are they worth the effort? — 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers
  19. Learning Phrase Embeddings from Paraphrases with GRUs — 2017 · Proceedings of the First Workshop on Curation and Applications of Parallel and Comparable Corpora
  20. Learning to Generate Reviews and Discovering Sentiment — 2017 · arXiv:1704.01444
  21. Learning to Prune: Exploring the Frontier of Fast and Accurate Parsing — 2017 · Transactions of the Association for Computational Linguistics
  22. Linguistically Rich Vector Representations of Supertags for TAG Parsing — 2017 · Proceedings of the 13th International Workshop on Tree Adjoining Grammars and Related Formalisms
  23. MUSST: A Multilingual Syntactic Simplification Tool — 2017 · Proceedings of the IJCNLP 2017, System Demonstrations
  24. Machine Translation and Automated Analysis of the Sumerian Language — 2017 · Proceedings of the Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature
  25. Measurement Context Extraction from Text: Discovering Opportunities and Gaps in Earth Science — 2017 · arXiv:1710.04312 · 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Data-Driven Discovery Workshop, Halifax, Canada, August 2017
  26. Morph-fitting: Fine-Tuning Word Vector Spaces with Simple Language-Specific Rules — 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  27. Neural End-to-End Learning for Computational Argumentation Mining — 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  28. Neural Joint Model for Transition-based Chinese Syntactic Analysis — 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  29. Neural Probabilistic Model for Non-projective MST Parsing — 2017 · Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
  30. Ontology-Aware Token Embeddings for Prepositional Phrase Attachment — our card · 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  31. Quote Extraction and Attribution from Norwegian Newspapers — 2017 · Proceedings of the 21st Nordic Conference on Computational Linguistics
  32. 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) — 2017 · Actes des 24ème Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 - Articles longs
  33. Results of the fifth edition of the BioASQ Challenge — 2017 · Proceedings of the 16th BioNLP Workshop
  34. Robust Training under Linguistic Adversity — 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers
  35. Semantic Specialization of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints — 2017 · Transactions of the Association for Computational Linguistics
  36. Semi-supervised Structured Prediction with Neural CRF Autoencoder — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
  37. Shift-Reduce Constituent Parsing with Neural Lookahead Features — 2017 · Transactions of the Association for Computational Linguistics
  38. Stack-based Multi-layer Attention for Transition-based Dependency Parsing — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
  39. Survey: Multiword Expression Processing: A Survey — 2017
  40. Syntax Aware LSTM model for Semantic Role Labeling — 2017 · Proceedings of the 2nd Workshop on Structured Prediction for Natural Language Processing
  41. TAG Parsing with Neural Networks and Vector Representations of Supertags — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
  42. Tackling Error Propagation through Reinforcement Learning: A Case of Greedy Dependency Parsing — 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers
  43. Toward Universal Dependencies for Ainu — 2017 · Proceedings of the NoDaLiDa 2017 Workshop on Universal Dependencies (UDW 2017)
  44. Transition-Based Deep Input Linearization — 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers
  45. TurkuNLP: Delexicalized Pre-training of Word Embeddings for Dependency Parsing — 2017 · Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
  46. Universal Dependencies Parsing for Colloquial Singaporean English — our card · 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  47. Using Stanford Part-of-Speech Tagger for the Morphologically-rich Filipino Language — 2017 · Proceedings of the 31st Pacific Asia Conference on Language, Information and Computation
  48. Using Word Embedding for Cross-Language Plagiarism Detection — 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers
  49. A Fast Unified Model for Parsing and Sentence Understanding — 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  50. A House United: Bridging the Script and Lexical Barrier between Hindi and Urdu — 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
  51. A Parallel-Hierarchical Model for Machine Comprehension on Sparse Data — 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  52. A Theme-Rewriting Approach for Generating Algebra Word Problems — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
  53. A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task — 2016 · arXiv:1606.02858
  54. A Universal Framework for Inductive Transfer Parsing across Multi-typed Treebanks — 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
  55. An Evaluation of Parser Robustness for Ungrammatical Sentences — our card · 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
  56. An empirical study for Vietnamese dependency parsing — 2016 · Proceedings of the Australasian Language Technology Association Workshop 2016
  57. Bi-directional Attention with Agreement for Dependency Parsing — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
  58. Context-Dependent Sense Embedding — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
  59. Deep Biaffine Attention for Neural Dependency Parsing — our card · 2016 · arXiv:1611.01734
  60. Deep Multi-Task Learning with Shared Memory for Text Classification — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
  61. Demographic Dialectal Variation in Social Media: A Case Study of African-American English — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
  62. Distilling an Ensemble of Greedy Dependency Parsers into One MST Parser — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
  63. Easy-First Dependency Parsing with Hierarchical Tree LSTMs — 2016
  64. Edinburgh's Statistical Machine Translation Systems for WMT16 — 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 — 2016
  66. Embedding Lexical Features via Low-Rank Tensors — 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 — 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 — 2016 · arXiv:1603.01354
  69. Enhanced English Universal Dependencies: An Improved Representation for Natural Language Understanding Tasks — 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 — 2016 · Proceedings of the 1st Workshop on Evaluating Vector-Space Representations for NLP
  71. Expectation-Regulated Neural Model for Event Mention Extraction — 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  72. Expected F-Measure Training for Shift-Reduce Parsing with Recurrent Neural Networks — 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  73. Exploiting Linguistic Features for Sentence Completion — 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  74. Extracting Case Law Sentences for Argumentation about the Meaning of Statutory Terms — 2016 · Proceedings of the Third Workshop on Argument Mining (ArgMining2016)
  75. Globally Normalized Transition-Based Neural Networks — 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  76. Graph-based Dependency Parsing with Bidirectional LSTM — 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  77. Incremental Parsing with Minimal Features Using Bi-Directional LSTM — 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  78. Intrinsic Evaluations of Word Embeddings: What Can We Do Better? — 2016 · Proceedings of the 1st Workshop on Evaluating Vector-Space Representations for NLP
  79. Introducing DRAIL – a Step Towards Declarative Deep Relational Learning — 2016 · Proceedings of the Workshop on Structured Prediction for NLP
  80. Is ``Universal Syntax'' Universally Useful for Learning Distributed Word Representations? — 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  81. Jointly Learning to Embed and Predict with Multiple Languages — 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  82. 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
  83. LSTM Shift-Reduce CCG Parsing — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
  84. Linguistic Input Features Improve Neural Machine Translation — 2016 · Proceedings of the First Conference on Machine Translation: Volume 1, Research Papers
  85. M2L at SemEval-2016 Task 8: AMR Parsing with Neural Networks — 2016 · Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)
  86. MGNC-CNN: A Simple Approach to Exploiting Multiple Word Embeddings for Sentence Classification — 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  87. Many Languages, One Parser — 2016 · Transactions of the Association for Computational Linguistics
  88. Mapping Unseen Words to Task-Trained Embedding Spaces — 2016 · Proceedings of the 1st Workshop on Representation Learning for NLP
  89. Modeling Selectional Preferences of Verbs and Nouns in String-to-Tree Machine Translation — 2016 · Proceedings of the First Conference on Machine Translation: Volume 1, Research Papers
  90. Modelling Radiological Language with Bidirectional Long Short-Term Memory Networks — 2016 · Proceedings of the Seventh International Workshop on Health Text Mining and Information Analysis
  91. Morphological Priors for Probabilistic Neural Word Embeddings — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
  92. Neural Network for Heterogeneous Annotations — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
  93. Neural Network-Based Model for Japanese Predicate Argument Structure Analysis — 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  94. Neural Shift-Reduce CCG Semantic Parsing — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
  95. Odin''s Runes: A Rule Language for Information Extraction — 2016 · Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
  96. On the Role of Seed Lexicons in Learning Bilingual Word Embeddings — 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  97. PIC a Different Word: A Simple Model for Lexical Substitution in Context — 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  98. Patterns of Wisdom: Discourse-Level Style in Multi-Sentence Quotations — 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  99. Probabilistic Graph-based Dependency Parsing with Convolutional Neural Network — 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  100. Prédiction structurée pour l''analyse syntaxique en constituants par transitions : modèles denses et modèles creux [Structured Prediction for Transition-based Constituent Parsing: Dense and Sparse Models] — 2016

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