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# Who cites «Building a Large Annotated Corpus of English: The Penn Treebank» · page 3

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. [Introducing StarDust: A UD-based Dependency Annotation Tool](https://aclanthology.org/2022.law-1.9/) *— 2022 · Proceedings of the 16th Linguistic Annotation Workshop (LAW-XVI) within LREC2022*
2. [Is Character Trigram Overlapping Ratio Still the Best Similarity Measure for Aligning Sentences in a Paraphrased Corpus?](https://aclanthology.org/2022.rocling-1.7/) *— 2022 · Proceedings of the 34th Conference on Computational Linguistics and Speech Processing (ROCLING 2022)*
3. [Is ``My Favorite New Movie'' My Favorite Movie? Probing the Understanding of Recursive Noun Phrases](https://aclanthology.org/2022.naacl-main.388/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
4. [LMTurk: Few-Shot Learners as Crowdsourcing Workers in a Language-Model-as-a-Service Framework](https://aclanthology.org/2022.findings-naacl.51/) *— 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
5. [Learning a Grammar Inducer from Massive Uncurated Instructional Videos](https://aclanthology.org/2022.emnlp-main.16/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
6. [Les corpus arborés avant et après le numérique Treebanks before and after the digital technology](https://aclanthology.org/2022.tal-3.4/) *— 2022*
7. [Linguistic Frameworks Go Toe-to-Toe at Neuro-Symbolic Language Modeling](https://aclanthology.org/2022.naacl-main.325/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
8. [Making Parameter-efficient Tuning More Efficient: A Unified Framework for Classification Tasks](https://aclanthology.org/2022.coling-1.615/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
9. [Measuring Linguistic Synchrony in Psychotherapy](https://aclanthology.org/2022.clpsych-1.14/) *— 2022 · Proceedings of the Eighth Workshop on Computational Linguistics and Clinical Psychology*
10. [Metadata Shaping: A Simple Approach for Knowledge-Enhanced Language Models](https://aclanthology.org/2022.findings-acl.137/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
11. [NewsEdits: A News Article Revision Dataset and a Novel Document-Level Reasoning Challenge](https://aclanthology.org/2022.naacl-main.10/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
12. [On Parsing as Tagging](https://aclanthology.org/2022.emnlp-main.607/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
13. [On the Robustness of Reading Comprehension Models to Entity Renaming](https://aclanthology.org/2022.naacl-main.37/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
14. [On the Transformation of Latent Space in Fine-Tuned NLP Models](https://aclanthology.org/2022.emnlp-main.97/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
15. [PACMAN:PArallel CodeMixed dAta generatioN for POS tagging](https://aclanthology.org/2022.icon-main.29/) *— 2022 · Proceedings of the 19th International Conference on Natural Language Processing (ICON)*
16. [Paraphrasing, textual entailment, and semantic similarity above word level](https://arxiv.org/abs/2208.05387) *— 2022 · arXiv:2208.05387*
17. [Parsing Early Modern English for Linguistic Search](https://md.mova.elamur.ai/free/en/docs/papers/kulick-2022-parsing-early-modern-english-linguistic/) *— our card · 2022 · Proceedings of the Society for Computation in Linguistics 2022*
18. [Penn-Helsinki Parsed Corpus of Early Modern English: First Parsing Results and Analysis](https://md.mova.elamur.ai/free/en/docs/papers/findings-2022-kulick-penn-helsinki-parsed-corpus-early/) *— our card · 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
19. [Pretraining with Artificial Language: Studying Transferable Knowledge in Language Models](https://aclanthology.org/2022.acl-long.504/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
20. [Probing for Constituency Structure in Neural Language Models](https://aclanthology.org/2022.findings-emnlp.502/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
21. [Probing for Incremental Parse States in Autoregressive Language Models](https://aclanthology.org/2022.findings-emnlp.203/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
22. [Quadapter: Adapter for GPT-2 Quantization](https://aclanthology.org/2022.findings-emnlp.185/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
23. [Quality and Efficiency of Manual Annotation: Pre-annotation Bias](https://aclanthology.org/2022.lrec-1.312/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
24. [Revisiting the Practical Effectiveness of Constituency Parse Extraction from Pre-trained Language Models](https://aclanthology.org/2022.coling-1.479/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
25. [Semantic Role Labeling as Dependency Parsing: Exploring Latent Tree Structures inside Arguments](https://aclanthology.org/2022.coling-1.370/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
26. [SentSpace: Large-Scale Benchmarking and Evaluation of Text using Cognitively Motivated Lexical, Syntactic, and Semantic Features](https://aclanthology.org/2022.naacl-demo.11/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: System Demonstrations*
27. [Should We Ban English NLP for a Year?](https://aclanthology.org/2022.emnlp-main.351/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
28. [Spectral Probing](https://aclanthology.org/2022.emnlp-main.527/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
29. [Spicy Salmon: Converting between 50+ Annotation Formats with Fintan, Pepper, Salt and Powla](https://aclanthology.org/2022.ldl-1.8/) *— 2022 · Proceedings of the 8th Workshop on Linked Data in Linguistics within the 13th Language Resources and Evaluation Conference*
30. [Spoken Language Treebanks in Universal Dependencies: an Overview](https://aclanthology.org/2022.lrec-1.191/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
31. [State-of-the-art generalisation research in NLP: A taxonomy and review](https://arxiv.org/abs/2210.03050) *— 2022 · arXiv:2210.03050 · Nat Mach Intell 5, 1161-1174 (2023)*
32. [SynGEC: Syntax-Enhanced Grammatical Error Correction with a Tailored GEC-Oriented Parser](https://aclanthology.org/2022.emnlp-main.162/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
33. [Syntactic Surprisal From Neural Models Predicts, But Underestimates, Human Processing Difficulty From Syntactic Ambiguities](https://aclanthology.org/2022.conll-1.20/) *— 2022 · Proceedings of the 26th Conference on Computational Natural Language Learning (CoNLL)*
34. [Syntax-driven Data Augmentation for Named Entity Recognition](https://aclanthology.org/2022.pandl-1.7/) *— 2022 · Proceedings of the First Workshop on Pattern-based Approaches to NLP in the Age of Deep Learning*
35. [The Aligned Multimodal Movie Treebank: An audio, video, dependency-parse treebank](https://md.mova.elamur.ai/free/en/docs/papers/ud-2022-yaari-aligned-multimodal-movie-treebank-audio/) *— our card · 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
36. [The CODI-CRAC 2022 Shared Task on Anaphora, Bridging, and Discourse Deixis in Dialogue](https://md.mova.elamur.ai/free/en/docs/papers/yu-2022-codi-crac-2022-shared-task/) *— our card · 2022 · Proceedings of the CODI-CRAC 2022 Shared Task on Anaphora, Bridging, and Discourse Deixis in Dialogue*
37. [Thematic Fit Bits: Annotation Quality and Quantity Interplay for Event Participant Representation](https://aclanthology.org/2022.lrec-1.556/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
38. [Towards Unification of Discourse Annotation Frameworks](https://aclanthology.org/2022.acl-srw.12/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop*
39. [Transformer Grammars: Augmenting Transformer Language Models with Syntactic Inductive Biases at Scale](https://aclanthology.org/2022.tacl-1.81/) *— 2022 · Transactions of the Association for Computational Linguistics*
40. [Transformer-Based Multi-Aspect Multi-Granularity Non-Native English Speaker Pronunciation Assessment](https://arxiv.org/abs/2205.03432) *— 2022 · arXiv:2205.03432*
41. [Unsupervised Dependency Graph Network](https://aclanthology.org/2022.acl-long.327/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
42. [Unsupervised Sentence Simplification via Dependency Parsing](https://arxiv.org/abs/2206.12261) *— 2022 · arXiv:2206.12261*
43. [Using Structured Content Plans for Fine-grained Syntactic Control in Pretrained Language Model Generation](https://aclanthology.org/2022.coling-1.514/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
44. [When Does Syntax Mediate Neural Language Model Performance? Evidence from Dropout Probes](https://aclanthology.org/2022.naacl-main.394/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
45. [ZAEBUC: An Annotated Arabic-English Bilingual Writer Corpus](https://aclanthology.org/2022.lrec-1.9/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
46. [ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers](https://arxiv.org/abs/2206.01861) *— 2022 · arXiv:2206.01861*
47. [``What makes a question inquisitive?'''' A Study on Type-Controlled Inquisitive Question Generation](https://aclanthology.org/2022.starsem-1.22/) *— 2022 · Proceedings of the 11th Joint Conference on Lexical and Computational Semantics*
48. [A Conditional Splitting Framework for Efficient Constituency Parsing](https://aclanthology.org/2021.acl-long.450/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
49. [A Modest Pareto Optimisation Analysis of Dependency Parsers in 2021](https://aclanthology.org/2021.iwpt-1.12/) *— 2021 · Proceedings of the 17th International Conference on Parsing Technologies and the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies (IWPT 2021)*
50. [A Unified Span-Based Approach for Opinion Mining with Syntactic Constituents](https://aclanthology.org/2021.naacl-main.144/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
51. [APo-VAE: Text Generation in Hyperbolic Space](https://aclanthology.org/2021.naacl-main.36/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
52. [Between words and characters: A Brief History of Open-Vocabulary Modeling and Tokenization in NLP](https://arxiv.org/abs/2112.10508) *— 2021 · arXiv:2112.10508*
53. [Bird''s Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach](https://aclanthology.org/2021.acl-long.145/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
54. [CDRNN: Discovering Complex Dynamics in Human Language Processing](https://aclanthology.org/2021.acl-long.288/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
55. [Character-based PCFG Induction for Modeling the Syntactic Acquisition of Morphologically Rich Languages](https://aclanthology.org/2021.findings-emnlp.371/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
56. [Conditional probing: measuring usable information beyond a baseline](https://aclanthology.org/2021.emnlp-main.122/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
57. [Contextualizing Variation in Text Style Transfer Datasets](https://aclanthology.org/2021.inlg-1.22/) *— 2021 · Proceedings of the 14th International Conference on Natural Language Generation*
58. [Controlled Evaluation of Grammatical Knowledge in Mandarin Chinese Language Models](https://aclanthology.org/2021.emnlp-main.454/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
59. [Coreference meets Universal Dependencies – a pilot experiment on harmonizing coreference datasets for 11 languages](https://md.mova.elamur.ai/free/en/docs/papers/nedoluzhko-2021-coreference-meets-universal-dependencies/) *— our card · 2021 · ÚFAL Technical Report TR-2021-66 (ISSN 1214-5521)*
60. [Data Collection vs. Knowledge Graph Completion: What is Needed to Improve Coverage?](https://aclanthology.org/2021.emnlp-main.501/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
61. [Datasets: A Community Library for Natural Language Processing](https://arxiv.org/abs/2109.02846) *— 2021 · arXiv:2109.02846*
62. [DisCoDisCo at the DISRPT2021 Shared Task: A System for Discourse Segmentation, Classification, and Connective Detection](https://aclanthology.org/2021.disrpt-1.6/) *— 2021 · Proceedings of the 2nd Shared Task on Discourse Relation Parsing and Treebanking (DISRPT 2021)*
63. [Diversity-Aware Batch Active Learning for Dependency Parsing](https://aclanthology.org/2021.naacl-main.207/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
64. [Dodrio: Exploring Transformer Models with Interactive Visualization](https://aclanthology.org/2021.acl-demo.16/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: System Demonstrations*
65. [Does My Representation Capture X? Probe-Ably](https://aclanthology.org/2021.acl-demo.23/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: System Demonstrations*
66. [Dynabench: Rethinking Benchmarking in NLP](https://aclanthology.org/2021.naacl-main.324/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
67. [Effective Batching for Recurrent Neural Network Grammars](https://aclanthology.org/2021.findings-acl.380/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
68. [Effects of Parameter Norm Growth During Transformer Training: Inductive Bias from Gradient Descent](https://aclanthology.org/2021.emnlp-main.133/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
69. [Enhancing Aspect-level Sentiment Analysis with Word Dependencies](https://aclanthology.org/2021.eacl-main.326/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
70. [Evaluating Saliency Methods for Neural Language Models](https://aclanthology.org/2021.naacl-main.399/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
71. [FlowPrior: Learning Expressive Priors for Latent Variable Sentence Models](https://aclanthology.org/2021.naacl-main.259/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
72. [Have Attention Heads in BERT Learned Constituency Grammar?](https://aclanthology.org/2021.eacl-srw.2/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop*
73. [How Many Layers and Why? An Analysis of the Model Depth in Transformers](https://aclanthology.org/2021.acl-srw.23/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: Student Research Workshop*
74. [How transfer learning impacts linguistic knowledge in deep NLP models?](https://aclanthology.org/2021.findings-acl.438/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
75. [Improved Latent Tree Induction with Distant Supervision via Span Constraints](https://aclanthology.org/2021.emnlp-main.395/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
76. [Incorporating EDS Graph for AMR Parsing](https://aclanthology.org/2021.starsem-1.19/) *— 2021 · Proceedings of *SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics*
77. [Indirectly Supervised English Sentence Break Prediction Using Paragraph Break Probability Estimates](https://arxiv.org/abs/2109.12023) *— 2021 · arXiv:2109.12023*
78. [Inducing Semantic Roles Without Syntax](https://aclanthology.org/2021.findings-acl.389/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
79. [Learning Syntax from Naturally-Occurring Bracketings](https://aclanthology.org/2021.naacl-main.234/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
80. [Learning to Organize a Bag of Words into Sentences with Neural Networks: An Empirical Study](https://aclanthology.org/2021.naacl-main.134/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
81. [Modeling Coreference Relations in Visual Dialog](https://aclanthology.org/2021.eacl-main.290/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
82. [Multilingual Chart-based Constituency Parse Extraction from Pre-trained Language Models](https://aclanthology.org/2021.findings-emnlp.41/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
83. [Multiple Tasks Integration: Tagging, Syntactic and Semantic Parsing as a Single Task](https://aclanthology.org/2021.eacl-main.66/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
84. [Muppet: Massive Multi-task Representations with Pre-Finetuning](https://aclanthology.org/2021.emnlp-main.468/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
85. [N-ary Constituent Tree Parsing with Recursive Semi-Markov Model](https://aclanthology.org/2021.acl-long.205/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
86. [Negative language transfer in learner English: A new dataset](https://aclanthology.org/2021.naacl-main.251/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
87. [On the Difficulty of Translating Free-Order Case-Marking Languages](https://aclanthology.org/2021.tacl-1.73/) *— 2021 · Transactions of the Association for Computational Linguistics*
88. [On the evolution of syntactic information encoded by BERT's contextualized representations](https://aclanthology.org/2021.eacl-main.191/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
89. [Overcoming the challenges in morphological annotation of Turkish in universal dependencies framework](https://aclanthology.org/2021.law-1.12/) *— 2021 · Proceedings of the Joint 15th Linguistic Annotation Workshop (LAW) and 3rd Designing Meaning Representations (DMR) Workshop*
90. [Porttinari - a Large Multi-genre Treebank for Brazilian Portuguese](https://aclanthology.org/2021.stil-1.1/) *— 2021 · Proceedings of the 13th Brazilian Symposium in Information and Human Language Technology*
91. [Probing the Probing Paradigm: Does Probing Accuracy Entail Task Relevance?](https://aclanthology.org/2021.eacl-main.295/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
92. [R2D2: Recursive Transformer based on Differentiable Tree for Interpretable Hierarchical Language Modeling](https://aclanthology.org/2021.acl-long.379/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
93. [Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement](https://md.mova.elamur.ai/free/en/docs/papers/ud-2021-mohammadshahi-recursive-non-autoregressive-graph-graph/) *— our card · 2021*
94. [Reducing Discontinuous to Continuous Parsing with Pointer Network Reordering](https://aclanthology.org/2021.emnlp-main.825/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
95. [Refining Targeted Syntactic Evaluation of Language Models](https://aclanthology.org/2021.naacl-main.290/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
96. [Resolving Prepositional Phrase Attachment Ambiguities with Contextualized Word Embeddings](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2021-ratnaparkhi-resolving-prepositional-phrase-attachment-ambiguities/) *— our card · 2021*
97. [Revisiting Shallow Discourse Parsing in the PDTB-3: Handling Intra-sentential Implicits](https://md.mova.elamur.ai/free/en/docs/papers/zhao-2021-revisiting-shallow-discourse-parsing-pdtb/) *— our card · 2021 · Proceedings of the 2nd Workshop on Computational Approaches to Discourse*
98. [Scaling Language Models: Methods, Analysis & Insights from Training Gopher](https://arxiv.org/abs/2112.11446) *— 2021 · arXiv:2112.11446*
99. [SiPOS: A Benchmark Dataset for Sindhi Part-of-Speech Tagging](https://aclanthology.org/2021.ranlp-srw.4/) *— 2021 · Proceedings of the Student Research Workshop Associated with RANLP 2021*
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