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

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  1. 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)
  2. Neural Probabilistic Model for Non-projective MST Parsing — 2017 · Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
  3. Prepositional Phrase Attachment over Word Embedding Products — our card · 2017 · Proceedings of the 15th International Conference on Parsing Technologies
  4. Robust Incremental Neural Semantic Graph Parsing — 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  5. Shift-Reduce Constituent Parsing with Neural Lookahead Features — 2017 · Transactions of the Association for Computational Linguistics
  6. Stack-based Multi-layer Attention for Transition-based Dependency Parsing — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
  7. Survey: Multiword Expression Processing: A Survey — 2017
  8. TAG Parser Evaluation using Textual Entailments — 2017 · Proceedings of the 13th International Workshop on Tree Adjoining Grammars and Related Formalisms
  9. 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
  10. The HIT-SCIR System for End-to-End Parsing of Universal Dependencies — 2017 · Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
  11. Towards Neural Machine Translation with Latent Tree Attention — 2017 · Proceedings of the 2nd Workshop on Structured Prediction for Natural Language Processing
  12. Transition-Based Disfluency Detection using LSTMs — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
  13. 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
  14. 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)
  15. Word vectors, reuse, and replicability: Towards a community repository of large-text resources — 2017 · Proceedings of the 21st Nordic Conference on Computational Linguistics
  16. A Convolutional Attention Network for Extreme Summarization of Source Code — 2016 · arXiv:1602.03001
  17. 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)
  18. A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks — 2016 · arXiv:1611.01587
  19. A Latent Variable Recurrent Neural Network for Discourse-Driven Language Models — 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  20. A Long Short-Term Memory Framework for Predicting Humor in Dialogues — 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  21. A Neural Attention Model for Disfluency Detection — 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
  22. A Neural Network Architecture for Multilingual Punctuation Generation — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
  23. A Search-Based Dynamic Reranking Model for Dependency Parsing — 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  24. 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
  25. An empirical study for Vietnamese dependency parsing — 2016 · Proceedings of the Australasian Language Technology Association Workshop 2016
  26. Bi-directional Attention with Agreement for Dependency Parsing — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
  27. Bidirectional LSTM for Named Entity Recognition in Twitter Messages — 2016 · Proceedings of the 2nd Workshop on Noisy User-generated Text (WNUT)
  28. Capturing Pragmatic Knowledge in Article Usage Prediction using LSTMs — 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
  29. CharNER: Character-Level Named Entity Recognition — 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
  30. Composing Distributed Representations of Relational Patterns — 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  31. Context-Sensitive Lexicon Features for Neural Sentiment Analysis — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
  32. Data Recombination for Neural Semantic Parsing — 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  33. Deep Biaffine Attention for Neural Dependency Parsing — our card · 2016 · arXiv:1611.01734
  34. Differentia compositionem facit. A Slower-Paced and Reliable Parser for Latin — 2016 · Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
  35. Distilling an Ensemble of Greedy Dependency Parsers into One MST Parser — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
  36. Domainless Adaptation by Constrained Decoding on a Schema Lattice — 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
  37. Easy-First Dependency Parsing with Hierarchical Tree LSTMs — 2016
  38. End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF — 2016 · arXiv:1603.01354
  39. 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
  40. 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
  41. Exploiting Mutual Benefits between Syntax and Semantic Roles using Neural Network — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
  42. Frustratingly Easy Neural Domain Adaptation — 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
  43. Global Neural CCG Parsing with Optimality Guarantees — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
  44. Globally Normalized Transition-Based Neural Networks — 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  45. Graph-based Dependency Parsing with Bidirectional LSTM — 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  46. Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMs — 2016 · Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning
  47. 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)
  48. Keystroke dynamics as signal for shallow syntactic parsing — 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
  49. 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
  50. LSTM Shift-Reduce CCG Parsing — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
  51. Learning Continuous Semantic Representations of Symbolic Expressions — 2016 · arXiv:1611.01423
  52. Learning Crosslingual Word Embeddings without Bilingual Corpora — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
  53. 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
  54. 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
  55. 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)
  56. 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)
  57. Learning to recognise named entities in tweets by exploiting weakly labelled data — 2016 · Proceedings of the 2nd Workshop on Noisy User-generated Text (WNUT)
  58. Long Short-Term Memory-Networks for Machine Reading — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
  59. Making Dependency Labeling Simple, Fast and Accurate — 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  60. Many Languages, One Parser — 2016 · Transactions of the Association for Computational Linguistics
  61. Mapping Unseen Words to Task-Trained Embedding Spaces — 2016 · Proceedings of the 1st Workshop on Representation Learning for NLP
  62. Massively Multilingual Word Embeddings — 2016 · arXiv:1602.01925
  63. Measuring the Information Content of Financial News — 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
  64. 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
  65. 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)
  66. Neural Scoring Function for MST Parser — 2016 · Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
  67. Neural Shift-Reduce CCG Semantic Parsing — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
  68. Optimizing Performance of Recurrent Neural Networks on GPUs — 2016 · arXiv:1604.01946
  69. 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
  70. 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)
  71. 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
  72. Recurrent Dropout without Memory Loss — 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
  73. 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
  74. Recurrent Neural Network Grammars — 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  75. Right-truncatable Neural Word Embeddings — 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  76. 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
  77. Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations — our card · 2016
  78. Span-Based Constituency Parsing with a Structure-Label System and Provably Optimal Dynamic Oracles — 2016 · arXiv:1612.06475
  79. Stack-propagation: Improved Representation Learning for Syntax — 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  80. The SIGMORPHON 2016 Shared Task–-Morphological Reinflection — 2016 · Proceedings of the 14th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology
  81. 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
  82. Training with Exploration Improves a Greedy Stack LSTM Parser — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
  83. Transition-Based Dependency Parsing with Heuristic Backtracking — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
  84. Transition-Based Neural Word Segmentation — 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  85. Transition-based dependency parsing with topological fields — 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  86. 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
  87. 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)
  88. A Bayesian Model for Generative Transition-based Dependency Parsing — 2015 · Proceedings of the Third International Conference on Dependency Linguistics (Depling 2015)
  89. 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)
  90. A Primer on Neural Network Models for Natural Language Processing — 2015 · arXiv:1510.00726
  91. An Improved Non-monotonic Transition System for Dependency Parsing — our card · 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing
  92. Combining Discrete and Continuous Features for Deterministic Transition-based Dependency Parsing — 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing
  93. 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)
  94. Improved Transition-Based Parsing and Tagging with Neural Networks — 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing
  95. 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
  96. Learning to Transduce with Unbounded Memory — 2015 · arXiv:1506.02516
  97. Reducing Lexical Features in Parsing by Word Embeddings — 2015 · Proceedings of the 29th Pacific Asia Conference on Language, Information and Computation
  98. 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
  99. 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)
  100. The Goldilocks Principle: Reading Children''s Books with Explicit Memory Representations — 2015 · arXiv:1511.02301

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