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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

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  1. 3BASiL: An Algorithmic Framework for Sparse plus Low-Rank Compression of LLMs — 2026 · arXiv:2603.01376
  2. Detecting Potentially Under-annotated Explicit Discourse Connectives in the Penn Discourse Treebank (PDTB-3) with LLMs — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
  3. FAMPWQ: Fisher Information-based Adaptive Mixed Precision Weight Quantization for Effective LLM Inference — 2026 · arXiv:2608.24945
  4. Implicit Representations of Grammaticality in Language Models — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  5. LBLLM: Lightweight Binarization of Large Language Models via Three-Stage Distillation — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  6. Minimizing the Hidden Cost of Scales: Graph-Guided Ultra-Low-Bit Quantization for Large Language Models — 2026 · arXiv:2606.05429
  7. Achieving binary weight and activation for LLMs using Post-Training Quantization — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  8. DartQuant: Efficient Rotational Distribution Calibration for LLM Quantization — 2025 · arXiv:2511.04063
  9. End-to-End On-Device Quantization-Aware Training for LLMs at Inference Cost — 2025 · arXiv:2509.00031
  10. FISTAPruner: Layer-wise Post-training Pruning for Large Language Models — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  11. FedSpaLLM: Federated Pruning of Large Language Models — 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
  12. GANQ: GPU-Adaptive Non-Uniform Quantization for Large Language Models — 2025 · arXiv:2501.12956
  13. Glider: Global and Local Instruction-Driven Expert Router — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  14. HASSLE-free: A unified Framework for Sparse plus Low-Rank Matrix Decomposition for LLMs — 2025 · arXiv:2502.00899
  15. LLMs syntactically adapt their language use to their conversational partner — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  16. Language Modeling Using Entanglement Enhanced Tensor Trains — 2025 · Proceedings of the 37th Conference on Computational Linguistics and Speech Processing (ROCLING 2025)
  17. Merging Two Grammar Worlds: Exploring the Relationship between Universal Dependencies and Signal Temporal Logic — 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
  18. PTQTP: Post-Training Quantization to Trit-Planes for Large Language Models — 2025 · arXiv:2509.16989
  19. Probability Distribution Collapse: A Critical Bottleneck to Compact Unsupervised Neural Grammar Induction — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  20. QoS-Efficient Serving of Multiple Mixture-of-Expert LLMs Using Partial Runtime Reconfiguration — 2025 · arXiv:2505.06481
  21. SASQ: Static Activation Scaling for Quantization-Aware Training in Large Language Models — 2025 · arXiv:2512.14481
  22. TSENOR: Highly-Efficient Algorithm for Finding Transposable N:M Sparse Masks — 2025 · arXiv:2505.23949
  23. A Comprehensive Evaluation of Quantization Strategies for Large Language Models — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  24. A Transformer with Stack Attention — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
  25. ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models — 2024 · arXiv:2406.07831
  26. ATQ: Activation Transformation forWeight-Activation Quantization of Large Language Models — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  27. Adjudicating LLMs as PropBank Adjudicators — 2024 · Proceedings of the Fifth International Workshop on Designing Meaning Representations @ LREC-COLING 2024
  28. Anda: Unlocking Efficient LLM Inference with a Variable-Length Grouped Activation Data Format — 2024 · arXiv:2411.15982
  29. BESA: Pruning Large Language Models with Blockwise Parameter-Efficient Sparsity Allocation — 2024 · arXiv:2402.16880
  30. BiLLM: Pushing the Limit of Post-Training Quantization for LLMs — 2024 · arXiv:2402.04291
  31. Compensate Quantization Errors: Make Weights Hierarchical to Compensate Each Other — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
  32. Critical Size Hypothesis: How Model Hyperparameters Correlate with Its Linguistic Abilities — 2024 · Proceedings of the 2024 CLASP Conference on Multimodality and Interaction in Language Learning
  33. Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  34. Gaining More Insight into Neural Semantic Parsing with Challenging Benchmarks — 2024 · Proceedings of the Fifth International Workshop on Designing Meaning Representations @ LREC-COLING 2024
  35. LRQuant: Learnable and Robust Post-Training Quantization for Large Language Models — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  36. Lateral Inversions, Word Form/Order, Unnamed Grammatical Entities and Ambiguities in the Constituency Parsing and Annotation of the Igala Syntax through the English Language — 2024 · Proceedings of the Fifth Workshop on Resources for African Indigenous Languages @ LREC-COLING 2024
  37. Mixture of Experts with Mixture of Precisions for Tuning Quality of Service — 2024 · arXiv:2407.14417
  38. Rethinking Pruning Large Language Models: Benefits and Pitfalls of Reconstruction Error Minimization — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  39. Structural Optimization Ambiguity and Simplicity Bias in Unsupervised Neural Grammar Induction — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  40. A Pilot Study on Dialogue-Level Dependency Parsing for Chinese — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  41. Atom: Low-bit Quantization for Efficient and Accurate LLM Serving — 2023 · MLSys 2024
  42. Compress, Then Prompt: Improving Accuracy-Efficiency Trade-off of LLM Inference with Transferable Prompt — 2023 · arXiv:2305.11186
  43. ED-Batch: Efficient Automatic Batching of Dynamic Neural Networks via Learned Finite State Machines — 2023 · arXiv:2302.03851
  44. EasyQuant: An Efficient Data-free Quantization Algorithm for LLMs — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  45. OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Models — 2023 · arXiv:2306.02272
  46. OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models — 2023 · arXiv:2308.13137
  47. QuantEase: Optimization-based Quantization for Language Models — 2023 · arXiv:2309.01885
  48. SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression — 2023 · arXiv:2306.03078
  49. SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot — 2023 · arXiv:2301.00774
  50. Syntax-guided Neural Module Distillation to Probe Compositionality in Sentence Embeddings — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
  51. Unified Syntactic Annotation of English in the CGEL Framework — 2023 · LAW-XVII 2023 (Linguistic Annotation Workshop, ACL)
  52. Unified Syntactic Annotation of English in the CGEL Framework — our card · 2023 · Proceedings of the 17th Linguistic Annotation Workshop (LAW-XVII)
  53. Verifying Annotation Agreement without Multiple Experts: A Case Study with Gujarati SNACS — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  54. A Cognitive Approach to Annotating Causal Constructions in a Cross-Genre Corpus — 2022 · Proceedings of the 16th Linguistic Annotation Workshop (LAW-XVI) within LREC2022
  55. A Survey of Implicit Discourse Relation Recognition — 2022 · arXiv:2203.02982
  56. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models — 2022 · arXiv:2206.04615 · Transactions on Machine Learning Research, May/2022, https://openreview.net/forum?id=uyTL5Bvosj
  57. Building Analyses from Syntactic Inference in Local Languages: An HPSG Grammar Inference System — 2022 · Northern European Journal of Language Technology
  58. Dynamic Programming in Rank Space: Scaling Structured Inference with Low-Rank HMMs and PCFGs — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  59. GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers — 2022 · arXiv:2210.17323
  60. Improving the Extraction of Supertags for Constituency Parsing with Linear Context-Free Rewriting Systems — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  61. MuCPAD: A Multi-Domain Chinese Predicate-Argument Dataset — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  62. PresiUniv at TSAR-2022 Shared Task: Generation and Ranking of Simplification Substitutes of Complex Words in Multiple Languages — 2022 · Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)
  63. SHARP: Search-Based Adversarial Attack for Structured Prediction — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
  64. Square One Bias in NLP: Towards a Multi-Dimensional Exploration of the Research Manifold — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  65. 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 — 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
  66. Using Roark-Hollingshead Distance to Probe BERT's Syntactic Competence — 2022 · Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP
  67. An Empirical Study of Compound PCFGs — 2021 · Proceedings of the Second Workshop on Domain Adaptation for NLP
  68. Effects of Duration, Locality, and Surprisal in Speech Disfluency Prediction in English Spontaneous Speech — 2021 · Proceedings of the Society for Computation in Linguistics 2021
  69. Explicitly Modeling Syntax in Language Models with Incremental Parsing and a Dynamic Oracle — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  70. Exploring the Sensory Spaces of English Perceptual Verbs in Natural Language Data — 2021 · arXiv:2110.09721 · CEUR-WS.org 2021
  71. Extraposed relative clauses in Role and Reference Grammar. An analysis using Tree Wrapping Grammars — 2021 · Journal of Language Modelling
  72. Linguistic Dependencies and Statistical Dependence — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  73. Neural Bi-Lexicalized PCFG Induction — 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)
  74. Supertagging-based Parsing with Linear Context-free Rewriting Systems — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  75. Syntactic Perturbations Reveal Representational Correlates of Hierarchical Phrase Structure in Pretrained Language Models — 2021 · Proceedings of the 6th Workshop on Representation Learning for NLP (RepL4NLP-2021)
  76. Unsupervised Neural Machine Translation with Universal Grammar — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  77. A Computational-Graph Partitioning Method for Training Memory-Constrained DNNs — 2020 · arXiv:2008.08636
  78. Aspects of Terminological and Named Entity Knowledge within Rule-Based Machine Translation Models for Under-Resourced Neural Machine Translation Scenarios — 2020 · arXiv:2009.13398
  79. CCOHA: Clean Corpus of Historical American English — our card · 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
  80. Calibrating Structured Output Predictors for Natural Language Processing — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  81. EmpLite: A Lightweight Sequence Labeling Model for Emphasis Selection of Short Texts — 2020 · Proceedings of the Workshop on Joint NLP Modelling for Conversational AI @ ICON 2020
  82. Estimating POS Annotation Consistency of Different Treebanks in a Language — our card · 2020 · Proceedings of the 19th International Workshop on Treebanks and Linguistic Theories
  83. FENAS: Flexible and Expressive Neural Architecture Search — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  84. Generalizing Natural Language Analysis through Span-relation Representations — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  85. How LSTM Encodes Syntax: Exploring Context Vectors and Semi-Quantization on Natural Text — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  86. Language Models are Few-Shot Learners — 2020 · arXiv:2005.14165
  87. Language-Independent Tokenisation Rivals Language-Specific Tokenisation for Word Similarity Prediction — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
  88. NoEl: An Annotated Corpus for Noun Ellipsis in English — our card · 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
  89. Semantic Role Labeling with Heterogeneous Syntactic Knowledge — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  90. Text Segmentation by Cross Segment Attention — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  91. Unsupervised Formal Grammar Induction with Confidence — 2020 · Proceedings of the Society for Computation in Linguistics 2020
  92. A Comparative Corpus Analysis of PP Ordering in English and Chinese — 2019 · Proceedings of the First Workshop on Quantitative Syntax (Quasy, SyntaxFest 2019)
  93. AutoShrink: A Topology-aware NAS for Discovering Efficient Neural Architecture — 2019 · arXiv:1911.09251
  94. Bootstrapping UD treebanks for Delexicalized Parsing — 2019 · Proceedings of the 22nd Nordic Conference on Computational Linguistics
  95. Divide and Extract – Disentangling Clause Splitting and Proposition Extraction — 2019 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019)
  96. Ellipsis in Chinese AMR Corpus — 2019 · Proceedings of the First International Workshop on Designing Meaning Representations
  97. Hardware-Guided Symbiotic Training for Compact, Accurate, yet Execution-Efficient LSTM — 2019 · arXiv:1901.10997
  98. Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  99. Leveraging Rule-Based Machine Translation Knowledge for Under-Resourced Neural Machine Translation Models — our card · 2019 · Proceedings of Machine Translation Summit XVII: Translator, Project and User Tracks
  100. Low Level Linguistic Controls for Style Transfer and Content Preservation — 2019 · Proceedings of the 12th International Conference on Natural Language Generation

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