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home / docs / papers / cited-by / Who cites «Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations» · page 3

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

Pages: 1 · 2 · 3

  1. From Raw Text to Universal Dependencies - Look, No Tags! — 2017 · Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
  2. Improving a Strong Neural Parser with Conjunction-Specific Features — our card · 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers
  3. In-Order Transition-based Constituent Parsing — 2017 · Transactions of the Association for Computational Linguistics
  4. Incremental Discontinuous Phrase Structure Parsing with the GAP Transition — 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers
  5. Incremental Graph-based Neural Dependency Parsing — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
  6. Learning Contextually Informed Representations for Linear-Time Discourse Parsing — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
  7. Learning What''s Easy: Fully Differentiable Neural Easy-First Taggers — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
  8. Learning to select data for transfer learning with Bayesian Optimization — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
  9. Leveraging Newswire Treebanks for Parsing Conversational Data with Argument Scrambling — 2017 · Proceedings of the 15th International Conference on Parsing Technologies
  10. Multi-task Domain Adaptation for Sequence Tagging — 2017 · Proceedings of the 2nd Workshop on Representation Learning for NLP
  11. Multilingual Lexicalized Constituency Parsing with Word-Level Auxiliary Tasks — 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers
  12. 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)
  13. 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)
  14. Neural Probabilistic Model for Non-projective MST Parsing — 2017 · Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
  15. Reconstruction of Word Embeddings from Sub-Word Parameters — 2017 · Proceedings of the First Workshop on Subword and Character Level Models in NLP
  16. 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
  17. Robust Incremental Neural Semantic Graph Parsing — 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  18. Stack-based Multi-layer Attention for Transition-based Dependency Parsing — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
  19. 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
  20. UParse: the Edinburgh system for the CoNLL 2017 UD shared task — 2017 · Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
  21. 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)
  22. Universal Semantic Parsing — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
  23. An empirical study for Vietnamese dependency parsing — 2016 · Proceedings of the Australasian Language Technology Association Workshop 2016
  24. Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies — 2016
  25. Challenges of Computational Processing of Code-Switching — 2016 · Proceedings of the Second Workshop on Computational Approaches to Code Switching
  26. Deep Biaffine Attention for Neural Dependency Parsing — our card · 2016 · arXiv:1611.01734
  27. Distilling an Ensemble of Greedy Dependency Parsers into One MST Parser — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
  28. 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)
  29. Keystroke dynamics as signal for shallow syntactic parsing — 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
  30. Multilingual Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Models and Auxiliary Loss — 2016 · arXiv:1604.05529
  31. Neural Shift-Reduce CCG Semantic Parsing — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
  32. Span-Based Constituency Parsing with a Structure-Label System and Provably Optimal Dynamic Oracles — 2016 · arXiv:1612.06475
  33. The SIGMORPHON 2016 Shared Task–-Morphological Reinflection — 2016 · Proceedings of the 14th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology
  34. What Do Recurrent Neural Network Grammars Learn About Syntax? — 2016 · arXiv:1611.05774
  35. agrawal-2020-eyes-parse-gaze-features-syntactic
  36. akermi-2021-generation-automatique-de-texte-en
  37. an-2023-tibetan-dependency-parsing-graph-convolutional
  38. antonelli-2018-parsing-italian-texts-together-is
  39. ballesteros-2017-arc-standard-spinal-parsing-stack
  40. banerjee-2025-hits-disrpt-2025-discourse-segmentation
  41. barnabo-2023-supervised-clustering-loss-clustering-friendly
  42. benton-2021-cross-register-projection-headline-part
  43. buljan-2020-tale-three-parsers-diagnostic-evaluation
  44. chen-2022-mt-speech-semeval-2022-task
  45. cole-2021-graph-based-decoding-task-oriented
  46. doan-2020-joint-deep-contextualized-word-representation
  47. doitch-2019-perturbation-based-learning-structured-nlp
  48. eecke-2022-neural-heuristics-scaling-constructional-language
  49. fischer-2019-association-metrics-neural-transition-based
  50. floquet-2025-scaling-graph-based-dependency-parsing
  51. go-2024-is-there-gender-bias-dependency
  52. grunewald-2018-generalized-chart-constraints-efficient-pcfg
  53. hildebrand-2020-recognizing-sentence-level-logical-document
  54. ji-2021-unified-encoding-structures-transition-systems
  55. jindal-2020-clar-cross-lingual-argument-regularizer
  56. joshi-2025-dependency-parsing-based-syntactic-enhancement
  57. kasai-2019-jabberwocky-parsing-dependency-parsing-lexical
  58. kohita-2018-dynamic-feature-selection-attention-incremental
  59. kurtz-2019-interplay-between-loss-functions-structural
  60. lhoneux-2020-what-should-do-can-lstms
  61. li-2019-generative-model-punctuation-dependency-trees
  62. li-2020-joint-model-graph-based-chinese
  63. li-2021-apgn-adversarial-parameter-generation-networks
  64. li-2022-semi-supervised-domain-adaptation-dependency
  65. li-2025-implicit-word-reordering-knowledge-distillation
  66. liu-2023-linear-time-modeling-linguistic-structure
  67. malca-2018-neural-transition-based-parsing-web
  68. matsuno-2018-reduction-parameter-redundancy-biaffine-classifiers
  69. nallani-2020-simple-effective-dependency-parser-telugu
  70. ortiz-2023-assessment-pre-trained-models-across
  71. prange-2023-empirical-sufficiency-lower-bounds-language
  72. ren-2018-building-ellipsis-aware-chinese-dependency
  73. saied-2019-comparing-linear-neural-models-competitive
  74. schluter-2019-recurrent-models-lower-bounds-projective
  75. shadikhodjaev-2019-cbnu-system-sigmorphon-2019-shared
  76. stanojevic-2017-neural-discontinuous-constituency-parsing
  77. stymne-2017-bilstm-based-system-cross-lingual
  78. stymne-2023-parser-evaluation-analyzing-swedish-19th
  79. szabo-2020-quasi-multitask-learning-efficient-surrogate
  80. talmina-2020-neural-network-learning-russian-genitive
  81. thien-2020-applying-graph-neural-networks-vietnamese
  82. tuc-2020-self-attended-stack-pointer-networks
  83. ustun-2019-multi-team-multi-attention-multi
  84. vania-2018-explicitly-modeling-case-improves-neural
  85. wang-2020-semi-supervised-dependency-parsing-arc
  86. xu-2022-multi-layer-pseudo-siamese-biaffine
  87. zhang-2020-semi-supervised-autoencoding-projective-dependency
  88. zhang-2022-sharp-search-based-adversarial-attack

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