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# Who cites «Building a Large Annotated Corpus of English: The Penn Treebank» · page 8

2515 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/bank-1993-marcus-building-large-annotated-corpus-english/)

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1. [Does String-Based Neural MT Learn Source Syntax?](https://aclanthology.org/D16-1159/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
2. [Don''t Let Notes Be Misunderstood: A Negation Detection Method for Assessing Risk of Suicide in Mental Health Records](https://aclanthology.org/W16-0310/) *— 2016 · Proceedings of the Third Workshop on Computational Linguistics and Clinical Psychology*
3. [Dynamic Feature Induction: The Last Gist to the State-of-the-Art](https://aclanthology.org/N16-1031/) *— 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
4. [Easy-First Dependency Parsing with Hierarchical Tree LSTMs](https://aclanthology.org/Q16-1032/) *— 2016*
5. [Efficient Structured Inference for Transition-Based Parsing with Neural Networks and Error States](https://aclanthology.org/Q16-1014/) *— 2016*
6. [End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF](https://arxiv.org/abs/1603.01354) *— 2016 · arXiv:1603.01354*
7. [Enhanced English Universal Dependencies: An Improved Representation for Natural Language Understanding Tasks](https://md.mova.elamur.ai/free/en/docs/papers/ud-2016-schuster-enhanced-english-universal-dependencies-improved/) *— our card · 2016 · Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)*
8. [Enhancing PTB Universal Dependencies for Grammar-Based Surface Realization](https://md.mova.elamur.ai/free/en/docs/papers/king-2016-enhancing-ptb-universal-dependencies-grammar/) *— our card · 2016 · Proceedings of the 9th International Natural Language Generation conference*
9. [Exploring the Limits of Language Modeling](https://arxiv.org/abs/1602.02410) *— 2016 · arXiv:1602.02410*
10. [FlexTag: A Highly Flexible PoS Tagging Framework](https://aclanthology.org/L16-1675/) *— 2016 · Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)*
11. [Garuda & Bhasha at SemEval-2016 Task 11: Complex Word Identification Using Aggregated Learning Models](https://aclanthology.org/S16-1156/) *— 2016 · Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)*
12. [Generating Sentences from a Continuous Space](https://aclanthology.org/K16-1002/) *— 2016 · Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning*
13. [Globally Normalized Transition-Based Neural Networks](https://aclanthology.org/P16-1231/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
14. [Grammar induction from (lots of) words alone](https://aclanthology.org/C16-1003/) *— 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers*
15. [Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMs](https://aclanthology.org/K16-1019/) *— 2016 · Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning*
16. [Hierarchical Multiscale Recurrent Neural Networks](https://arxiv.org/abs/1609.01704) *— 2016 · arXiv:1609.01704*
17. [Human-in-the-Loop Parsing](https://aclanthology.org/D16-1258/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
18. [Identification, characterization, and grounding of gradable terms in clinical text](https://aclanthology.org/W16-2903/) *— 2016 · Proceedings of the 15th Workshop on Biomedical Natural Language Processing*
19. [Improving Neural Language Models with a Continuous Cache](https://arxiv.org/abs/1612.04426) *— 2016 · arXiv:1612.04426*
20. [Incorporating Discrete Translation Lexicons into Neural Machine Translation](https://aclanthology.org/D16-1162/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
21. [Integrating Selectional Constraints and Subcategorization Frames in a Dependency Parser](https://aclanthology.org/J16-1002/) *— 2016 · Computational Linguistics*
22. [Intrinsic Evaluation of Word Vectors Fails to Predict Extrinsic Performance](https://aclanthology.org/W16-2501/) *— 2016 · Proceedings of the 1st Workshop on Evaluating Vector-Space Representations for NLP*
23. [LAMB: A Good Shepherd of Morphologically Rich Languages](https://aclanthology.org/D16-1071/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
24. [Language Independent Dependency to Constituent Tree Conversion](https://aclanthology.org/C16-1041/) *— 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers*
25. [Learning Connective-based Word Representations for Implicit Discourse Relation Identification](https://aclanthology.org/D16-1020/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
26. [Learning Distributed Word Representations For Bidirectional LSTM Recurrent Neural Network](https://aclanthology.org/N16-1064/) *— 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
27. [Learning Python Code Suggestion with a Sparse Pointer Network](https://arxiv.org/abs/1611.08307) *— 2016 · arXiv:1611.08307*
28. [Learning Translations for Tagged Words: Extending the Translation Lexicon of an ITG for Low Resource Languages](https://aclanthology.org/W16-1207/) *— 2016 · Proceedings of the Workshop on Multilingual and Cross-lingual Methods in NLP*
29. [Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning](https://aclanthology.org/P16-1013/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
30. [Mapping Unseen Words to Task-Trained Embedding Spaces](https://aclanthology.org/W16-1612/) *— 2016 · Proceedings of the 1st Workshop on Representation Learning for NLP*
31. [Matching Networks for One Shot Learning](https://arxiv.org/abs/1606.04080) *— 2016 · arXiv:1606.04080*
32. [Multi-view and multi-task training of RST discourse parsers](https://aclanthology.org/C16-1179/) *— 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers*
33. [Neural Greedy Constituent Parsing with Dynamic Oracles](https://aclanthology.org/P16-1017/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
34. [Parsing as Language Modeling](https://aclanthology.org/D16-1257/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
35. [Part of Speech Annotation of a Turkish-German Code-Switching Corpus](https://aclanthology.org/W16-1714/) *— 2016 · Proceedings of the 10th Linguistic Annotation Workshop held in conjunction with ACL 2016 (LAW-X 2016)*
36. [Part of Speech Tagging for Code Switched Data](https://aclanthology.org/W16-5812/) *— 2016 · Proceedings of the Second Workshop on Computational Approaches to Code Switching*
37. [Part-of-Speech Tagging for Historical English](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2016-yang-part-speech-tagging-historical-english/) *— our card · 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
38. [Pointer Sentinel Mixture Models](https://arxiv.org/abs/1609.07843) *— 2016 · arXiv:1609.07843*
39. [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](https://aclanthology.org/2016.tal-1.3/) *— 2016*
40. [Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations](https://arxiv.org/abs/1609.07061) *— 2016 · arXiv:1609.07061*
41. [Recurrent Memory Networks for Language Modeling](https://aclanthology.org/N16-1036/) *— 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
42. [SQuAD: 100,000+ Questions for Machine Comprehension of Text](https://aclanthology.org/D16-1264/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
43. [Searching in the Penn Discourse Treebank Using the PML-Tree Query](https://aclanthology.org/L16-1278/) *— 2016 · Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)*
44. [Segment-Level Sequence Modeling using Gated Recursive Semi-Markov Conditional Random Fields](https://aclanthology.org/P16-1134/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
45. [SemEval-2016 Task 10: Detecting Minimal Semantic Units and their Meanings (DiMSUM)](https://aclanthology.org/S16-1084/) *— 2016 · Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)*
46. [Semantic Tagging with Deep Residual Networks](https://aclanthology.org/C16-1333/) *— 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers*
47. [Sentential Paraphrasing as Black-Box Machine Translation](https://aclanthology.org/N16-3013/) *— 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations*
48. [Shallow Semantic Reasoning from an Incomplete Gold Standard for Learner Language](https://aclanthology.org/W16-0512/) *— 2016 · Proceedings of the 11th Workshop on Innovative Use of NLP for Building Educational Applications*
49. [Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations](https://md.mova.elamur.ai/free/en/docs/papers/narrative-2016-kiperwasser-simple-accurate-dependency-parsing-bidirectional/) *— our card · 2016*
50. [SoNLP-DP System for ConLL-2016 English Shallow Discourse Parsing](https://aclanthology.org/K16-2009/) *— 2016 · Proceedings of the CoNLL-16 shared task*
51. [Span-Based Constituency Parsing with a Structure-Label System and Provably Optimal Dynamic Oracles](https://arxiv.org/abs/1612.06475) *— 2016 · arXiv:1612.06475*
52. [Stack-propagation: Improved Representation Learning for Syntax](https://aclanthology.org/P16-1147/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
53. [Strategies for Training Large Vocabulary Neural Language Models](https://aclanthology.org/P16-1186/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
54. [Supertagging With LSTMs](https://aclanthology.org/N16-1027/) *— 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
55. [Syntactic Parsing of Web Queries with Question Intent](https://aclanthology.org/N16-1081/) *— 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
56. [The Universal Dependencies Treebank of Spoken Slovenian](https://aclanthology.org/L16-1248/) *— 2016 · Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)*
57. [Training Data Enrichment for Infrequent Discourse Relations](https://aclanthology.org/C16-1245/) *— 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers*
58. [Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling](https://arxiv.org/abs/1611.01462) *— 2016 · arXiv:1611.01462*
59. [Using lexical and Dependency Features to Disambiguate Discourse Connectives in Hindi](https://aclanthology.org/L16-1276/) *— 2016 · Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)*
60. [Word Embedding Evaluation and Combination](https://aclanthology.org/L16-1046/) *— 2016 · Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)*
61. [ZeuScansion: A tool for scansion of English poetry](https://jlm.ipipan.waw.pl/index.php/JLM/article/view/102) *— 2016 · Journal of Language Modelling*
62. [A Bayesian Model for Generative Transition-based Dependency Parsing](https://aclanthology.org/W15-2108/) *— 2015 · Proceedings of the Third International Conference on Dependency Linguistics (Depling 2015)*
63. [A Data-Driven, Factorization Parser for CCG Dependency Structures](https://aclanthology.org/P15-1149/) *— 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)*
64. [A Neural Probabilistic Structured-Prediction Model for Transition-Based Dependency Parsing](https://aclanthology.org/P15-1117/) *— 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)*
65. [A Statistical Parsing Framework for Sentiment Classification](https://aclanthology.org/J15-2004/) *— 2015 · Computational Linguistics*
66. [An Empirical Analysis of Optimization for Max-Margin NLP](https://aclanthology.org/D15-1032/) *— 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing*
67. [An Empirical Comparison Between N-gram and Syntactic Language Models for Word Ordering](https://aclanthology.org/D15-1043/) *— 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing*
68. [An Improved Tag Dictionary for Faster Part-of-Speech Tagging](https://aclanthology.org/D15-1151/) *— 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing*
69. [Approximation-Aware Dependency Parsing by Belief Propagation](https://aclanthology.org/Q15-1035/) *— 2015 · Transactions of the Association for Computational Linguistics*
70. [Ask Me Anything: Dynamic Memory Networks for Natural Language Processing](https://arxiv.org/abs/1506.07285) *— 2015 · arXiv:1506.07285*
71. [Automatic recognition of habituals: a three-way classification of clausal aspect](https://aclanthology.org/D15-1294/) *— 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing*
72. [Big Data Small Data, In Domain Out-of Domain, Known Word Unknown Word: The Impact of Word Representations on Sequence Labelling Tasks](https://aclanthology.org/K15-1009/) *— 2015 · Proceedings of the Nineteenth Conference on Computational Natural Language Learning*
73. [CODRA: A Novel Discriminative Framework for Rhetorical Analysis](https://aclanthology.org/J15-3002/) *— 2015 · Computational Linguistics*
74. [Character-Aware Neural Language Models](https://arxiv.org/abs/1508.06615) *— 2015 · arXiv:1508.06615*
75. [Chinese in the Grammatical Framework: Grammar, Translation, and Other Applications Anonymous](https://aclanthology.org/W15-3117/) *— 2015 · Proceedings of the Eighth SIGHAN Workshop on Chinese Language Processing*
76. [Ckylark: A More Robust PCFG-LA Parser](https://aclanthology.org/N15-3009/) *— 2015 · Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations*
77. [Création rapide et efficace d'un système de désambiguïsation lexicale pour une langue peu dotée](https://aclanthology.org/2015.jeptalnrecital-long.8/) *— 2015 · Actes de la 22e conférence sur le Traitement Automatique des Langues Naturelles. Articles longs*
78. [Density-Driven Cross-Lingual Transfer of Dependency Parsers](https://aclanthology.org/D15-1039/) *— 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing*
79. [Discriminative Syntax-Based Word Ordering for Text Generation](https://aclanthology.org/J15-3005/) *— 2015 · Computational Linguistics*
80. [Diversity in Spectral Learning for Natural Language Parsing](https://aclanthology.org/D15-1214/) *— 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing*
81. [Efficient Disfluency Detection with Transition-based Parsing](https://aclanthology.org/P15-1048/) *— 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)*
82. [Efficient Inference and Structured Learning for Semantic Role Labeling](https://aclanthology.org/Q15-1003/) *— 2015 · Transactions of the Association for Computational Linguistics*
83. [Efficient Inner-to-outer Greedy Algorithm for Higher-order Labeled Dependency Parsing](https://aclanthology.org/D15-1154/) *— 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing*
84. [End-To-End Memory Networks](https://arxiv.org/abs/1503.08895) *— 2015 · arXiv:1503.08895*
85. [Evidence of syntactic working memory usage in MEG data](https://aclanthology.org/W15-1109/) *— 2015 · Proceedings of the 6th Workshop on Cognitive Modeling and Computational Linguistics*
86. [Fast Rhetorical Structure Theory Discourse Parsing](https://arxiv.org/abs/1505.02425) *— 2015 · arXiv:1505.02425*
87. [Feature Optimization for Constituent Parsing via Neural Networks](https://aclanthology.org/P15-1110/) *— 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)*
88. [Finding Function in Form: Compositional Character Models for Open Vocabulary Word Representation](https://arxiv.org/abs/1508.02096) *— 2015 · arXiv:1508.02096*
89. [Generating Semantically Precise Scene Graphs from Textual Descriptions for Improved Image Retrieval](https://aclanthology.org/W15-2812/) *— 2015 · Proceedings of the Fourth Workshop on Vision and Language*
90. [Generative Incremental Dependency Parsing with Neural Networks](https://aclanthology.org/P15-2142/) *— 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)*
91. [Harmonizing word alignments and syntactic structures for extracting phrasal translation equivalents](https://aclanthology.org/W15-1001/) *— 2015 · Proceedings of the Ninth Workshop on Syntax, Semantics and Structure in Statistical Translation*
92. [Hierarchic syntax improves reading time prediction](https://aclanthology.org/N15-1183/) *— 2015 · Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
93. [Identifying Cascading Errors using Constraints in Dependency Parsing](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2015-ng-identifying-cascading-errors-constraints-dependency/) *— our card · 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)*
94. [Improved Transition-Based Parsing and Tagging with Neural Networks](https://aclanthology.org/D15-1159/) *— 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](https://aclanthology.org/D15-1041/) *— 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing*
96. [Incorporating Complementary Annotation to a CCGbank for Improving Derivations for Japanese](https://aclanthology.org/W15-2203/) *— 2015 · Proceedings of the 14th International Conference on Parsing Technologies*
97. [It Depends: Dependency Parser Comparison Using A Web-based Evaluation Tool](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2015-choi-it-depends-dependency-parser-comparison/) *— our card · 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)*
98. [Joint Lemmatization and Morphological Tagging with Lemming](https://aclanthology.org/D15-1272/) *— 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing*
99. [Learning Dynamic Feature Selection for Fast Sequential Prediction](https://aclanthology.org/P15-1015/) *— 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. [Learning Hidden Markov Models with Distributed State Representations for Domain Adaptation](https://aclanthology.org/P15-2086/) *— 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)*

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