Who cites «Building a Large Annotated Corpus of English: The Penn Treebank» · page 3
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- Introducing StarDust: A UD-based Dependency Annotation Tool — 2022 · Proceedings of the 16th Linguistic Annotation Workshop (LAW-XVI) within LREC2022
- Is Character Trigram Overlapping Ratio Still the Best Similarity Measure for Aligning Sentences in a Paraphrased Corpus? — 2022 · Proceedings of the 34th Conference on Computational Linguistics and Speech Processing (ROCLING 2022)
- Is ``My Favorite New Movie'' My Favorite Movie? Probing the Understanding of Recursive Noun Phrases — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- LMTurk: Few-Shot Learners as Crowdsourcing Workers in a Language-Model-as-a-Service Framework — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
- Learning a Grammar Inducer from Massive Uncurated Instructional Videos — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
- Les corpus arborés avant et après le numérique [Treebanks before and after the digital technology] — 2022
- Linguistic Frameworks Go Toe-to-Toe at Neuro-Symbolic Language Modeling — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- Making Parameter-efficient Tuning More Efficient: A Unified Framework for Classification Tasks — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
- Measuring Linguistic Synchrony in Psychotherapy — 2022 · Proceedings of the Eighth Workshop on Computational Linguistics and Clinical Psychology
- Metadata Shaping: A Simple Approach for Knowledge-Enhanced Language Models — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
- NewsEdits: A News Article Revision Dataset and a Novel Document-Level Reasoning Challenge — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- On Parsing as Tagging — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
- On the Robustness of Reading Comprehension Models to Entity Renaming — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- On the Transformation of Latent Space in Fine-Tuned NLP Models — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
- PACMAN:PArallel CodeMixed dAta generatioN for POS tagging — 2022 · Proceedings of the 19th International Conference on Natural Language Processing (ICON)
- Paraphrasing, textual entailment, and semantic similarity above word level — 2022 · arXiv:2208.05387
- Parsing Early Modern English for Linguistic Search — our card · 2022 · Proceedings of the Society for Computation in Linguistics 2022
- Penn-Helsinki Parsed Corpus of Early Modern English: First Parsing Results and Analysis — our card · 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
- Pretraining with Artificial Language: Studying Transferable Knowledge in Language Models — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Probing for Constituency Structure in Neural Language Models — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
- Probing for Incremental Parse States in Autoregressive Language Models — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
- Quadapter: Adapter for GPT-2 Quantization — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
- Quality and Efficiency of Manual Annotation: Pre-annotation Bias — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
- Revisiting the Practical Effectiveness of Constituency Parse Extraction from Pre-trained Language Models — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
- Semantic Role Labeling as Dependency Parsing: Exploring Latent Tree Structures inside Arguments — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
- SentSpace: Large-Scale Benchmarking and Evaluation of Text using Cognitively Motivated Lexical, Syntactic, and Semantic Features — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: System Demonstrations
- Should We Ban English NLP for a Year? — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
- Spectral Probing — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
- Spicy Salmon: Converting between 50+ Annotation Formats with Fintan, Pepper, Salt and Powla — 2022 · Proceedings of the 8th Workshop on Linked Data in Linguistics within the 13th Language Resources and Evaluation Conference
- Spoken Language Treebanks in Universal Dependencies: an Overview — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
- State-of-the-art generalisation research in NLP: A taxonomy and review — 2022 · arXiv:2210.03050 · Nat Mach Intell 5, 1161-1174 (2023)
- SynGEC: Syntax-Enhanced Grammatical Error Correction with a Tailored GEC-Oriented Parser — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
- Syntactic Surprisal From Neural Models Predicts, But Underestimates, Human Processing Difficulty From Syntactic Ambiguities — 2022 · Proceedings of the 26th Conference on Computational Natural Language Learning (CoNLL)
- Syntax-driven Data Augmentation for Named Entity Recognition — 2022 · Proceedings of the First Workshop on Pattern-based Approaches to NLP in the Age of Deep Learning
- The Aligned Multimodal Movie Treebank: An audio, video, dependency-parse treebank — our card · 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
- The CODI-CRAC 2022 Shared Task on Anaphora, Bridging, and Discourse Deixis in Dialogue — our card · 2022 · Proceedings of the CODI-CRAC 2022 Shared Task on Anaphora, Bridging, and Discourse Deixis in Dialogue
- Thematic Fit Bits: Annotation Quality and Quantity Interplay for Event Participant Representation — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
- Towards Unification of Discourse Annotation Frameworks — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop
- Transformer Grammars: Augmenting Transformer Language Models with Syntactic Inductive Biases at Scale — 2022 · Transactions of the Association for Computational Linguistics
- Transformer-Based Multi-Aspect Multi-Granularity Non-Native English Speaker Pronunciation Assessment — 2022 · arXiv:2205.03432
- Unsupervised Dependency Graph Network — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Unsupervised Sentence Simplification via Dependency Parsing — 2022 · arXiv:2206.12261
- Using Structured Content Plans for Fine-grained Syntactic Control in Pretrained Language Model Generation — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
- When Does Syntax Mediate Neural Language Model Performance? Evidence from Dropout Probes — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- ZAEBUC: An Annotated Arabic-English Bilingual Writer Corpus — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
- ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers — 2022 · arXiv:2206.01861
- ``What makes a question inquisitive?'''' A Study on Type-Controlled Inquisitive Question Generation — 2022 · Proceedings of the 11th Joint Conference on Lexical and Computational Semantics
- A Conditional Splitting Framework for Efficient Constituency Parsing — 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)
- A Modest Pareto Optimisation Analysis of Dependency Parsers in 2021 — 2021 · Proceedings of the 17th International Conference on Parsing Technologies and the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies (IWPT 2021)
- A Unified Span-Based Approach for Opinion Mining with Syntactic Constituents — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- APo-VAE: Text Generation in Hyperbolic Space — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- Between words and characters: A Brief History of Open-Vocabulary Modeling and Tokenization in NLP — 2021 · arXiv:2112.10508
- Bird''s Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach — 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)
- CDRNN: Discovering Complex Dynamics in Human Language Processing — 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)
- Character-based PCFG Induction for Modeling the Syntactic Acquisition of Morphologically Rich Languages — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
- Conditional probing: measuring usable information beyond a baseline — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- Contextualizing Variation in Text Style Transfer Datasets — 2021 · Proceedings of the 14th International Conference on Natural Language Generation
- Controlled Evaluation of Grammatical Knowledge in Mandarin Chinese Language Models — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- Coreference meets Universal Dependencies – a pilot experiment on harmonizing coreference datasets for 11 languages — our card · 2021 · ÚFAL Technical Report TR-2021-66 (ISSN 1214-5521)
- Data Collection vs. Knowledge Graph Completion: What is Needed to Improve Coverage? — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- Datasets: A Community Library for Natural Language Processing — 2021 · arXiv:2109.02846
- DisCoDisCo at the DISRPT2021 Shared Task: A System for Discourse Segmentation, Classification, and Connective Detection — 2021 · Proceedings of the 2nd Shared Task on Discourse Relation Parsing and Treebanking (DISRPT 2021)
- Diversity-Aware Batch Active Learning for Dependency Parsing — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- Dodrio: Exploring Transformer Models with Interactive Visualization — 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
- Does My Representation Capture X? Probe-Ably — 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
- Dynabench: Rethinking Benchmarking in NLP — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- Effective Batching for Recurrent Neural Network Grammars — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
- Effects of Parameter Norm Growth During Transformer Training: Inductive Bias from Gradient Descent — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- Enhancing Aspect-level Sentiment Analysis with Word Dependencies — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
- Evaluating Saliency Methods for Neural Language Models — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- FlowPrior: Learning Expressive Priors for Latent Variable Sentence Models — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- Have Attention Heads in BERT Learned Constituency Grammar? — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop
- How Many Layers and Why? An Analysis of the Model Depth in Transformers — 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
- How transfer learning impacts linguistic knowledge in deep NLP models? — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
- Improved Latent Tree Induction with Distant Supervision via Span Constraints — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- Incorporating EDS Graph for AMR Parsing — 2021 · Proceedings of *SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics
- Indirectly Supervised English Sentence Break Prediction Using Paragraph Break Probability Estimates — 2021 · arXiv:2109.12023
- Inducing Semantic Roles Without Syntax — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
- Learning Syntax from Naturally-Occurring Bracketings — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- Learning to Organize a Bag of Words into Sentences with Neural Networks: An Empirical Study — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- Modeling Coreference Relations in Visual Dialog — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
- Multilingual Chart-based Constituency Parse Extraction from Pre-trained Language Models — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
- Multiple Tasks Integration: Tagging, Syntactic and Semantic Parsing as a Single Task — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
- Muppet: Massive Multi-task Representations with Pre-Finetuning — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- N-ary Constituent Tree Parsing with Recursive Semi-Markov Model — 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)
- Negative language transfer in learner English: A new dataset — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- On the Difficulty of Translating Free-Order Case-Marking Languages — 2021 · Transactions of the Association for Computational Linguistics
- On the evolution of syntactic information encoded by BERT's contextualized representations — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
- Overcoming the challenges in morphological annotation of Turkish in universal dependencies framework — 2021 · Proceedings of the Joint 15th Linguistic Annotation Workshop (LAW) and 3rd Designing Meaning Representations (DMR) Workshop
- Porttinari - a Large Multi-genre Treebank for Brazilian Portuguese — 2021 · Proceedings of the 13th Brazilian Symposium in Information and Human Language Technology
- Probing the Probing Paradigm: Does Probing Accuracy Entail Task Relevance? — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
- R2D2: Recursive Transformer based on Differentiable Tree for Interpretable Hierarchical Language Modeling — 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)
- Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement — our card · 2021
- Reducing Discontinuous to Continuous Parsing with Pointer Network Reordering — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- Refining Targeted Syntactic Evaluation of Language Models — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- Revisiting Shallow Discourse Parsing in the PDTB-3: Handling Intra-sentential Implicits — our card · 2021 · Proceedings of the 2nd Workshop on Computational Approaches to Discourse
- Scaling Language Models: Methods, Analysis & Insights from Training Gopher — 2021 · arXiv:2112.11446
- SiPOS: A Benchmark Dataset for Sindhi Part-of-Speech Tagging — 2021 · Proceedings of the Student Research Workshop Associated with RANLP 2021
- Strength in Numbers: Averaging and Clustering Effects in Mixture of Experts for Graph-Based Dependency Parsing — 2021 · Proceedings of the 17th International Conference on Parsing Technologies and the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies (IWPT 2021)
- StylePTB: A Compositional Benchmark for Fine-grained Controllable Text Style Transfer — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
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