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home / docs / papers / cited-by / Who cites «Transition-Based Dependency Parsing with Stack Long Short-Term Memory» · page 3

Who cites «Transition-Based Dependency Parsing with Stack Long Short-Term Memory» · page 3

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

Pages: 1 · 2 · 3 · 4

  1. Keystroke dynamics as signal for shallow syntactic parsing — 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
  2. 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
  3. LSTM Shift-Reduce CCG Parsing — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
  4. Learning Continuous Semantic Representations of Symbolic Expressions — 2016 · arXiv:1611.01423
  5. Learning Crosslingual Word Embeddings without Bilingual Corpora — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
  6. Learning Distributed Word Representations For Bidirectional LSTM Recurrent Neural Network — 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  7. Learning Global Features for Coreference Resolution — 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  8. Learning Orthographic Features in Bi-directional LSTM for Biomedical Named Entity Recognition — 2016 · Proceedings of the Fifth Workshop on Building and Evaluating Resources for Biomedical Text Mining (BioTxtM2016)
  9. Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning — 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  10. Long Short-Term Memory-Networks for Machine Reading — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
  11. Many Languages, One Parser — 2016 · Transactions of the Association for Computational Linguistics
  12. Mapping Unseen Words to Task-Trained Embedding Spaces — 2016 · Proceedings of the 1st Workshop on Representation Learning for NLP
  13. Massively Multilingual Word Embeddings — 2016 · arXiv:1602.01925
  14. Measuring the Information Content of Financial News — 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
  15. Neural Architectures for Named Entity Recognition — 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  16. 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)
  17. Neural Shift-Reduce CCG Semantic Parsing — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
  18. Optimizing Performance of Recurrent Neural Networks on GPUs — 2016 · arXiv:1604.01946
  19. Polyglot Neural Language Models: A Case Study in Cross-Lingual Phonetic Representation Learning — 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  20. 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)
  21. 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
  22. Recurrent Dropout without Memory Loss — 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
  23. Recurrent Memory Networks for Language Modeling — 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  24. Recurrent Neural Network Grammars — 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  25. Shift-Reduce CCG Parsing using Neural Network Models — 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  26. Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations — our card · 2016
  27. Span-Based Constituency Parsing with a Structure-Label System and Provably Optimal Dynamic Oracles — 2016 · arXiv:1612.06475
  28. Stack-propagation: Improved Representation Learning for Syntax — 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  29. The SIGMORPHON 2016 Shared Task–-Morphological Reinflection — 2016 · Proceedings of the 14th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology
  30. Top-down Tree Long Short-Term Memory Networks — 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  31. Training with Exploration Improves a Greedy Stack LSTM Parser — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
  32. Transition-Based Dependency Parsing with Heuristic Backtracking — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
  33. Transition-Based Neural Word Segmentation — 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  34. Transition-based dependency parsing with topological fields — 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  35. Weighting Finite-State Transductions With Neural Context — 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  36. Which argument is more convincing? Analyzing and predicting convincingness of Web arguments using bidirectional LSTM — 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  37. A Bayesian Model for Generative Transition-based Dependency Parsing — 2015 · Proceedings of the Third International Conference on Dependency Linguistics (Depling 2015)
  38. A Neural Probabilistic Structured-Prediction Model for Transition-Based Dependency Parsing — 2015 · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
  39. A Primer on Neural Network Models for Natural Language Processing — 2015 · arXiv:1510.00726
  40. An Improved Non-monotonic Transition System for Dependency Parsing — our card · 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing
  41. Generative Incremental Dependency Parsing with Neural Networks — 2015 · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
  42. Improved Transition-Based Parsing and Tagging with Neural Networks — 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing
  43. Improved Transition-based Parsing by Modeling Characters instead of Words with LSTMs — 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing
  44. Learning to Transduce with Unbounded Memory — 2015 · arXiv:1506.02516
  45. Semi-supervised Dependency Parsing using Bilexical Contextual Features from Auto-Parsed Data — 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing
  46. Structured Training for Neural Network Transition-Based Parsing — 2015 · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
  47. The Goldilocks Principle: Reading Children''s Books with Explicit Memory Representations — 2015 · arXiv:1511.02301
  48. Transition-based Spinal Parsing — 2015 · Proceedings of the Nineteenth Conference on Computational Natural Language Learning
  49. Tree-structured composition in neural networks without tree-structured architectures — 2015 · arXiv:1506.04834
  50. A Credit Assignment Compiler for Joint Prediction — 2014 · arXiv:1406.1837
  51. antonelli-2018-parsing-italian-texts-together-is
  52. aufrant-2018-exploiting-dynamic-oracles-train-projective
  53. ballesteros-2017-arc-standard-spinal-parsing-stack
  54. bauer-2025-high-accuracy-transition-based-constituency
  55. chen-2015-transition-based-dependency-parsing-two
  56. chitkara-2019-topic-spotting-hierarchical-networks-self
  57. doan-2020-joint-deep-contextualized-word-representation
  58. espinosa-2016-learning-recognise-named-entities-tweets
  59. fegade-2023-acrobat-optimizing-auto-batching-dynamic
  60. floquet-2025-scaling-graph-based-dependency-parsing
  61. fu-2018-hccl-semeval-2018-task-8
  62. gao-2020-rp-dnn-tweet-level-propagation
  63. hale-2019-text-genre-training-data-size
  64. henderson-2023-transformers-as-graph-graph-models
  65. heyman-2019-learning-unsupervised-multilingual-word-embeddings
  66. hu-2022-scene-graph-modification-as-incremental
  67. jansson-2017-distributed-representation-lda-topic-modelling
  68. ji-2021-neural-transition-based-joint-model
  69. ji-2021-unified-encoding-structures-transition-systems
  70. kohita-2018-dynamic-feature-selection-attention-incremental
  71. komatsu-2015-reducing-lexical-features-parsing-word
  72. lhoneux-2020-what-should-do-can-lstms
  73. libovicky-2016-neural-scoring-function-mst-parser
  74. lu-2018-m-cner-corpus-chinese-named
  75. madhyastha-2017-prepositional-phrase-attachment-over-word — our card
  76. magnini-2020-comparing-machine-learning-deep-learning
  77. mitra-2020-deeply-embedded-knowledge-representation-reasoning
  78. morio-2022-hitachi-semeval-2022-task-10
  79. nguyen-2018-treatment-side-effect-prediction-online
  80. noji-2023-how-much-syntactic-supervision-is
  81. ramanarayanan-2018-automatic-token-turn-level-language
  82. ravi-2021-soda-device-conversational-slot-extraction
  83. ren-2018-building-ellipsis-aware-chinese-dependency
  84. ruano-2025-effective-multi-task-learning-biomedical
  85. seyoum-2020-comparing-neural-network-parsers-less — our card
  86. shen-2016-making-dependency-labeling-simple-fast
  87. singh-2018-pushing-limits-radiology-joint-modeling
  88. stahlberg-2018-operation-sequence-model-explainable-neural
  89. stanojevic-2017-neural-discontinuous-constituency-parsing
  90. stanojevic-2019-ccg-parsing-algorithm-incremental-tree
  91. stanojevic-2020-max-margin-incremental-ccg-parsing
  92. steingrimsson-2020-facilitating-corpus-usage-making-icelandic
  93. suzuki-2016-right-truncatable-neural-word-embeddings
  94. tagami-2023-recurrent-neural-network-ccg-parser
  95. takase-2016-composing-distributed-representations-relational-patterns
  96. tran-2018-multiplicative-tree-structured-long-short
  97. xu-2017-tag-parser-evaluation-textual-entailments
  98. xu-2022-multi-layer-pseudo-siamese-biaffine
  99. yoshida-2025-investigating-psychometric-predictive-power-syntactic
  100. zhang-2015-combining-discrete-continuous-features-deterministic

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