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# Who cites «The Penn Treebank: Annotating Predicate Argument Structure»

314 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-1994-marcus-penn-treebank-annotating-predicate-argument/)

Pages: **1** · [2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/bank-1994-marcus-penn-treebank-annotating-predicate-argument-2/) · [3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/bank-1994-marcus-penn-treebank-annotating-predicate-argument-3/) · [4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/bank-1994-marcus-penn-treebank-annotating-predicate-argument-4/)

1. [Detecting Potentially Under-annotated Explicit Discourse Connectives in the Penn Discourse Treebank (PDTB-3) with LLMs](https://aclanthology.org/2026.lrec-1.158/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
2. [Implicit Representations of Grammaticality in Language Models](https://aclanthology.org/2026.acl-long.686/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
3. [LBLLM: Lightweight Binarization of Large Language Models via Three-Stage Distillation](https://aclanthology.org/2026.acl-long.1640/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
4. [DartQuant: Efficient Rotational Distribution Calibration for LLM Quantization](https://arxiv.org/abs/2511.04063) *— 2025 · arXiv:2511.04063*
5. [Merging Two Grammar Worlds: Exploring the Relationship between Universal Dependencies and Signal Temporal Logic](https://aclanthology.org/2025.findings-ijcnlp.116/) *— 2025 · Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics*
6. [PTQTP: Post-Training Quantization to Trit-Planes for Large Language Models](https://arxiv.org/abs/2509.16989) *— 2025 · arXiv:2509.16989*
7. [A Comprehensive Evaluation of Quantization Strategies for Large Language Models](https://aclanthology.org/2024.findings-acl.726/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
8. [ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models](https://arxiv.org/abs/2406.07831) *— 2024 · arXiv:2406.07831*
9. [Adjudicating LLMs as PropBank Adjudicators](https://aclanthology.org/2024.dmr-1.12/) *— 2024 · Proceedings of the Fifth International Workshop on Designing Meaning Representations @ LREC-COLING 2024*
10. [Anda: Unlocking Efficient LLM Inference with a Variable-Length Grouped Activation Data Format](https://arxiv.org/abs/2411.15982) *— 2024 · arXiv:2411.15982*
11. [BESA: Pruning Large Language Models with Blockwise Parameter-Efficient Sparsity Allocation](https://arxiv.org/abs/2402.16880) *— 2024 · arXiv:2402.16880*
12. [BiLLM: Pushing the Limit of Post-Training Quantization for LLMs](https://arxiv.org/abs/2402.04291) *— 2024 · arXiv:2402.04291*
13. [Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research](https://aclanthology.org/2024.acl-long.840/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
14. [Gaining More Insight into Neural Semantic Parsing with Challenging Benchmarks](https://aclanthology.org/2024.dmr-1.17/) *— 2024 · Proceedings of the Fifth International Workshop on Designing Meaning Representations @ LREC-COLING 2024*
15. [Mixture of Experts with Mixture of Precisions for Tuning Quality of Service](https://arxiv.org/abs/2407.14417) *— 2024 · arXiv:2407.14417*
16. [Atom: Low-bit Quantization for Efficient and Accurate LLM Serving](https://arxiv.org/abs/2310.19102) *— 2023 · MLSys 2024*
17. [Compress, Then Prompt: Improving Accuracy-Efficiency Trade-off of LLM Inference with Transferable Prompt](https://arxiv.org/abs/2305.11186) *— 2023 · arXiv:2305.11186*
18. [OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Models](https://arxiv.org/abs/2306.02272) *— 2023 · arXiv:2306.02272*
19. [OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models](https://arxiv.org/abs/2308.13137) *— 2023 · arXiv:2308.13137*
20. [QuantEase: Optimization-based Quantization for Language Models](https://arxiv.org/abs/2309.01885) *— 2023 · arXiv:2309.01885*
21. [SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression](https://arxiv.org/abs/2306.03078) *— 2023 · arXiv:2306.03078*
22. [SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot](https://arxiv.org/abs/2301.00774) *— 2023 · arXiv:2301.00774*
23. [Unified Syntactic Annotation of English in the CGEL Framework](https://aclanthology.org/2023.law-1.22/) [our card](https://md.mova.elamur.ai/free/en/docs/papers/bank-2023-reynolds-unified-syntactic-annotation-english-cgel/) *— 2023 · LAW-XVII 2023 (Linguistic Annotation Workshop, ACL)*
24. [Unified Syntactic Annotation of English in the CGEL Framework](https://md.mova.elamur.ai/free/en/docs/papers/bank-2023-reynolds-unified-syntactic-annotation-english-cgel/) *— our card · 2023 · Proceedings of the 17th Linguistic Annotation Workshop (LAW-XVII)*
25. [Verifying Annotation Agreement without Multiple Experts: A Case Study with Gujarati SNACS](https://aclanthology.org/2023.findings-acl.696/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
26. [A Cognitive Approach to Annotating Causal Constructions in a Cross-Genre Corpus](https://aclanthology.org/2022.law-1.18/) *— 2022 · Proceedings of the 16th Linguistic Annotation Workshop (LAW-XVI) within LREC2022*
27. [A Survey of Implicit Discourse Relation Recognition](https://arxiv.org/abs/2203.02982) *— 2022 · arXiv:2203.02982*
28. [Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models](https://arxiv.org/abs/2206.04615) *— 2022 · arXiv:2206.04615 · Transactions on Machine Learning Research, May/2022, https://openreview.net/forum?id=uyTL5Bvosj*
29. [Building Analyses from Syntactic Inference in Local Languages: An HPSG Grammar Inference System](https://nejlt.ep.liu.se/article/view/4017) *— 2022 · Northern European Journal of Language Technology*
30. [Dynamic Programming in Rank Space: Scaling Structured Inference with Low-Rank HMMs and PCFGs](https://aclanthology.org/2022.naacl-main.353/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
31. [GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers](https://arxiv.org/abs/2210.17323) *— 2022 · arXiv:2210.17323*
32. [PresiUniv at TSAR-2022 Shared Task: Generation and Ranking of Simplification Substitutes of Complex Words in Multiple Languages](https://aclanthology.org/2022.tsar-1.22/) *— 2022 · Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)*
33. [Square One Bias in NLP: Towards a Multi-Dimensional Exploration of the Research Manifold](https://aclanthology.org/2022.findings-acl.184/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
34. [Stars at Qur''an QA 2022: Building Automatic Extractive Question Answering Systems for the Holy Qur''an with Transformer Models and Releasing a New Dataset](https://aclanthology.org/2022.osact-1.18/) *— 2022 · Proceedinsg of the 5th Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks on Qur'an QA and Fine-Grained Hate Speech Detection*
35. [Using Roark-Hollingshead Distance to Probe BERT's Syntactic Competence](https://aclanthology.org/2022.blackboxnlp-1.27/) *— 2022 · Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP*
36. [An Empirical Study of Compound PCFGs](https://aclanthology.org/2021.adaptnlp-1.17/) *— 2021 · Proceedings of the Second Workshop on Domain Adaptation for NLP*
37. [Effects of Duration, Locality, and Surprisal in Speech Disfluency Prediction in English Spontaneous Speech](https://aclanthology.org/2021.scil-1.9/) *— 2021 · Proceedings of the Society for Computation in Linguistics 2021*
38. [Explicitly Modeling Syntax in Language Models with Incremental Parsing and a Dynamic Oracle](https://aclanthology.org/2021.naacl-main.132/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
39. [Exploring the Sensory Spaces of English Perceptual Verbs in Natural Language Data](https://arxiv.org/abs/2110.09721) *— 2021 · arXiv:2110.09721 · CEUR-WS.org 2021*
40. [Linguistic Dependencies and Statistical Dependence](https://aclanthology.org/2021.emnlp-main.234/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
41. [Neural Bi-Lexicalized PCFG Induction](https://aclanthology.org/2021.acl-long.209/) *— 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)*
42. [Supertagging-based Parsing with Linear Context-free Rewriting Systems](https://aclanthology.org/2021.naacl-main.232/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
43. [Syntactic Perturbations Reveal Representational Correlates of Hierarchical Phrase Structure in Pretrained Language Models](https://aclanthology.org/2021.repl4nlp-1.27/) *— 2021 · Proceedings of the 6th Workshop on Representation Learning for NLP (RepL4NLP-2021)*
44. [Unsupervised Neural Machine Translation with Universal Grammar](https://aclanthology.org/2021.emnlp-main.261/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
45. [Aspects of Terminological and Named Entity Knowledge within Rule-Based Machine Translation Models for Under-Resourced Neural Machine Translation Scenarios](https://arxiv.org/abs/2009.13398) *— 2020 · arXiv:2009.13398*
46. [CCOHA: Clean Corpus of Historical American English](https://md.mova.elamur.ai/free/en/docs/papers/alatrash-2020-ccoha-clean-corpus-historical-american/) *— our card · 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
47. [Calibrating Structured Output Predictors for Natural Language Processing](https://aclanthology.org/2020.acl-main.188/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
48. [Estimating POS Annotation Consistency of Different Treebanks in a Language](https://md.mova.elamur.ai/free/en/docs/papers/aggarwal-2020-estimating-pos-annotation-consistency-different/) *— our card · 2020 · Proceedings of the 19th International Workshop on Treebanks and Linguistic Theories*
49. [Generalizing Natural Language Analysis through Span-relation Representations](https://aclanthology.org/2020.acl-main.192/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
50. [How LSTM Encodes Syntax: Exploring Context Vectors and Semi-Quantization on Natural Text](https://aclanthology.org/2020.coling-main.356/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
51. [Language Models are Few-Shot Learners](https://arxiv.org/abs/2005.14165) *— 2020 · arXiv:2005.14165*
52. [Language-Independent Tokenisation Rivals Language-Specific Tokenisation for Word Similarity Prediction](https://aclanthology.org/2020.lrec-1.475/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
53. [NoEl: An Annotated Corpus for Noun Ellipsis in English](https://md.mova.elamur.ai/free/en/docs/papers/gram-2020-khullar-noel-annotated-corpus-noun-ellipsis/) *— our card · 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
54. [Semantic Role Labeling with Heterogeneous Syntactic Knowledge](https://aclanthology.org/2020.coling-main.266/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
55. [Text Segmentation by Cross Segment Attention](https://aclanthology.org/2020.emnlp-main.380/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
56. [Bootstrapping UD treebanks for Delexicalized Parsing](https://aclanthology.org/W19-6102/) *— 2019 · Proceedings of the 22nd Nordic Conference on Computational Linguistics*
57. [Ellipsis in Chinese AMR Corpus](https://aclanthology.org/W19-3310/) *— 2019 · Proceedings of the First International Workshop on Designing Meaning Representations*
58. [Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks](https://aclanthology.org/P19-1320/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
59. [Leveraging Rule-Based Machine Translation Knowledge for Under-Resourced Neural Machine Translation Models](https://md.mova.elamur.ai/free/en/docs/papers/torregrosa-2019-leveraging-rule-based-machine-translation/) *— our card · 2019 · Proceedings of Machine Translation Summit XVII: Translator, Project and User Tracks*
60. [Low Level Linguistic Controls for Style Transfer and Content Preservation](https://aclanthology.org/W19-8628/) *— 2019 · Proceedings of the 12th International Conference on Natural Language Generation*
61. [Representation Learning and Dynamic Programming for Arc-Hybrid Parsing](https://aclanthology.org/K19-1023/) *— 2019 · Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)*
62. [UniParse: A universal graph-based parsing toolkit](https://aclanthology.org/W19-6149/) *— 2019 · Proceedings of the 22nd Nordic Conference on Computational Linguistics*
63. [Unsupervised Question Answering by Cloze Translation](https://aclanthology.org/P19-1484/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
64. [A Supervised Approach To The Interpretation Of Imperative To-Do Lists](https://arxiv.org/abs/1806.07999) *— 2018 · arXiv:1806.07999*
65. [An Analysis of Neural Language Modeling at Multiple Scales](https://arxiv.org/abs/1803.08240) *— 2018 · arXiv:1803.08240*
66. [Constituent Parsing as Sequence Labeling](https://aclanthology.org/D18-1162/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
67. [DeepCx: A transition-based approach for shallow semantic parsing with complex constructional triggers](https://aclanthology.org/D18-1196/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
68. [Efficient Neural Architecture Search via Parameter Sharing](https://arxiv.org/abs/1802.03268) *— 2018 · arXiv:1802.03268*
69. [Incremental Natural Language Processing: Challenges, Strategies, and Evaluation](https://aclanthology.org/C18-1253/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
70. [Language Informed Modeling of Code-Switched Text](https://aclanthology.org/W18-3211/) *— 2018 · Proceedings of the Third Workshop on Computational Approaches to Linguistic Code-Switching*
71. [Neural Architecture Optimization](https://arxiv.org/abs/1808.07233) *— 2018 · arXiv:1808.07233*
72. [Testsuite on Czech–English Grammatical Contrasts](https://aclanthology.org/W18-6434/) *— 2018 · Proceedings of the Third Conference on Machine Translation: Shared Task Papers*
73. [An Evaluation of PredPatt and Open IE via Stage 1 Semantic Role Labeling](https://aclanthology.org/W17-6944/) *— 2017 · Proceedings of the 12th International Conference on Computational Semantics (IWCS) –- Short papers*
74. [Automatically Tagging Constructions of Causation and Their Slot-Fillers](https://aclanthology.org/Q17-1009/) *— 2017 · Transactions of the Association for Computational Linguistics*
75. [Creating POS Tagging and Dependency Parsing Experts via Topic Modeling](https://aclanthology.org/E17-1033/) *— 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers*
76. [Data point selection for genre-aware parsing](https://aclanthology.org/W17-7614/) *— 2017 · Proceedings of the 16th International Workshop on Treebanks and Linguistic Theories*
77. [Efficient Discontinuous Phrase-Structure Parsing via the Generalized Maximum Spanning Arborescence](https://aclanthology.org/D17-1172/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
78. [The BECauSE Corpus 2.0: Annotating Causality and Overlapping Relations](https://aclanthology.org/W17-0812/) *— 2017 · Proceedings of the 11th Linguistic Annotation Workshop*
79. [Translation Divergences in Chinese–English Machine Translation: An Empirical Investigation](https://md.mova.elamur.ai/free/en/docs/papers/deng-2017-translation-divergences-chinese-english-machine/) *— our card · 2017 · Computational Linguistics*
80. [Populating Legal Ontologies using Information Extraction based on Semantic Role Labeling and Text Similarity](https://orbilu.uni.lu/handle/10993/33810) *— 2016 · Open Repository and Bibliography (University of Luxembourg)*
81. [Predictive Incremental Parsing Helps Language Modeling](https://aclanthology.org/C16-1026/) *— 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers*
82. [A Framework for Procedural Text Understanding](https://aclanthology.org/W15-2206/) *— 2015 · Proceedings of the 14th International Conference on Parsing Technologies*
83. [A Hierarchy with, of, and for Preposition Supersenses](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2015-schneider-hierarchy-preposition-supersenses/) *— our card · 2015 · Proceedings of the 9th Linguistic Annotation Workshop*
84. [An Evaluation and Comparison of Linguistic Alignment Measures](https://aclanthology.org/W15-1107/) *— 2015 · Proceedings of the 6th Workshop on Cognitive Modeling and Computational Linguistics*
85. [Foreebank: Syntactic Analysis of Customer Support Forums](https://aclanthology.org/D15-1157/) *— 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing*
86. [Graph-based Coherence Modeling For Assessing Readability](https://aclanthology.org/S15-1036/) *— 2015 · Proceedings of the Fourth Joint Conference on Lexical and Computational Semantics*
87. [Identification of Caused Motion Construction](https://aclanthology.org/S15-1006/) *— 2015 · Proceedings of the Fourth Joint Conference on Lexical and Computational Semantics*
88. [Multiword Expression Identification with Recurring Tree Fragments and Association Measures](https://aclanthology.org/W15-0902/) *— 2015 · Proceedings of the 11th Workshop on Multiword Expressions*
89. [What's in an Embedding? Analyzing Word Embeddings through Multilingual Evaluation](https://aclanthology.org/D15-1246/) *— 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing*
90. [A Large-Scale Pseudoword-Based Evaluation Framework for State-of-the-Art Word Sense Disambiguation](https://aclanthology.org/J14-4005/) *— 2014 · Computational Linguistics*
91. [Because Size Does Matter: The Hamburg Dependency Treebank](https://aclanthology.org/L14-1666/) *— 2014 · Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)*
92. [Criteria for Identifying and Annotating Caused Motion Constructions in Corpus Data](https://aclanthology.org/L14-1499/) *— 2014 · Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)*
93. [Deep Syntax Annotation of the Sequoia French Treebank](https://aclanthology.org/L14-1410/) *— 2014 · Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)*
94. [Incremental Predictive Parsing with TurboParser](https://aclanthology.org/P14-2130/) *— 2014 · Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
95. [Target-Centric Features for Translation Quality Estimation](https://aclanthology.org/W14-3341/) *— 2014 · Proceedings of the Ninth Workshop on Statistical Machine Translation*
96. [Combining PCFG-LA Models with Dual Decomposition: A Case Study with Function Labels and Binarization](https://aclanthology.org/D13-1116/) *— 2013 · Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing*
97. [Coping With Implicit Arguments And Events Coreference](https://aclanthology.org/W13-1201/) *— 2013 · Workshop on Events: Definition, Detection, Coreference, and Representation*
98. [Data-Driven Parsing using Probabilistic Linear Context-Free Rewriting Systems](https://aclanthology.org/J13-1006/) *— 2013 · Computational Linguistics*
99. [Divisible Transition Systems and Multiplanar Dependency Parsing](https://aclanthology.org/J13-4002/) *— 2013 · Computational Linguistics*
100. [Parser Accuracy in Quality Estimation of Machine Translation: A Tree Kernel Approach](https://aclanthology.org/I13-1153/) *— 2013 · Proceedings of the Sixth International Joint Conference on Natural Language Processing*

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