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

Words Worth a Thousand Pictures: Measuring and Understanding Perceptual Variability in Text-to-Image Generation — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
XferBench: a Data-Driven Benchmark for Emergent Language — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
``Get Their Hands Dirty, Not Mine'''': On Researcher-Annotator Collaboration and the Agency of Annotators — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
24-bit Languages — 2023 · Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
A CCGbank for Turkish: From Dependency to CCG — 2023 · Proceedings of the 12th Global Wordnet Conference
A Cognitive Linguistics Analysis of Phrasal Verbs Representation in Distributional Semantics — 2023 · Proceedings of the Ninth Italian Conference on Computational Linguistics (CLiC-it 2023)
A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models — 2023 · arXiv:2303.10420
A Frustratingly Easy Post-Training Quantization Scheme for LLMs — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
A Kind Introduction to Lexical and Grammatical Aspect, with a Survey of Computational Approaches — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
A Neural CRF-based Hierarchical Approach for Linear Text Segmentation — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
A Side-by-side Comparison of Transformers for English Implicit Discourse Relation Classification — 2023 · arXiv:2307.03378
A Side-by-side Comparison of Transformers for Implicit Discourse Relation Classification — 2023 · Proceedings of the 4th Workshop on Computational Approaches to Discourse (CODI 2023)
A Survey of Large Language Models — 2023 · arXiv:2303.18223 · Frontiers of Computer Science, Volume 20, Issue 12, Article 2012627 (2026)
An Empirical Study of Metrics to Measure Representational Harms in Pre-Trained Language Models — 2023 · arXiv:2301.09211
An Extended Sequence Tagging Vocabulary for Grammatical Error Correction — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
An Inclusive Notion of Text — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Approximating CKY with Transformers — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Are Embedded Potatoes Still Vegetables? On the Limitations of WordNet Embeddings for Lexical Semantics — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Assessment of Pre-Trained Models Across Languages and Grammars — 2023 · Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
Auto-apprentissage et renforcement pour une analyse jointe sur données disjointes : étiquetage morpho-syntaxique et analyse syntaxique — 2023 · Actes de CORIA-TALN 2023. Actes de la 30e Conférence sur le Traitement Automatique des Langues Naturelles (TALN), volume 2 : travaux de recherche originaux – articles courts
Bidirectional Masked Self-attention and N-gram Span Attention for Constituency Parsing — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Bridging Information-Theoretic and Geometric Compression in Language Models — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Chat Disentanglement: Data for New Domains and Methods for More Accurate Annotation — 2023 · Proceedings of the 21st Annual Workshop of the Australasian Language Technology Association
CoRec: An Easy Approach for Coordination Recognition — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Conjunct Lengths in English, Dependency Length Minimization, and Dependency Structure of Coordination — our card · 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Connecting Symbolic Statutory Reasoning with Legal Information Extraction — 2023 · Proceedings of the Natural Legal Language Processing Workshop 2023
Constituency Parsing using LLMs — 2023 · arXiv:2310.19462
Constructivist Tokenization for English — 2023 · Proceedings of the First International Workshop on Construction Grammars and NLP (CxGs+NLP, GURT/SyntaxFest 2023)
Contextual Distortion Reveals Constituency: Masked Language Models are Implicit Parsers — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Contextualized Semantic Distance between Highly Overlapped Texts — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
Cross2StrA: Unpaired Cross-lingual Image Captioning with Cross-lingual Cross-modal Structure-pivoted Alignment — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
DMDD: A Large-Scale Dataset for Dataset Mentions Detection — 2023 · Transactions of the Association for Computational Linguistics
DataFinder: Scientific Dataset Recommendation from Natural Language Descriptions — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Des ressources lexicales du français et de leur utilisation en TAL : étude des actes de TALN — 2023 · Actes de CORIA-TALN 2023. Actes de la 30e Conférence sur le Traitement Automatique des Langues Naturelles (TALN), volume 2 : travaux de recherche originaux – articles courts
Development of Urdu-English Religious Domain Parallel Corpus — 2023 · Proceedings of the Second Workshop on Corpus Generation and Corpus Augmentation for Machine Translation
Do Question Answering Modeling Improvements Hold Across Benchmarks? — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Do Transformers Parse while Predicting the Masked Word? — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Don't Parse, Choose Spans! Continuous and Discontinuous Constituency Parsing via Autoregressive Span Selection — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Dynamic Low-rank Estimation for Transformer-based Language Models — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Efficient Semiring-Weighted Earley Parsing — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Findings of the BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora — 2023 · Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning
GENTLE: A Genre-Diverse Multilayer Challenge Set for English NLP and Linguistic Evaluation — our card · 2023 · Proceedings of the 17th Linguistic Annotation Workshop (LAW-XVII)
Hexatagging: Projective Dependency Parsing as Tagging — our card · 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
Hidden Schema Networks — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
ICON: Building a Large-Scale Benchmark Constituency Treebank for the Indonesian Language — 2023 · Proceedings of the 21st International Workshop on Treebanks and Linguistic Theories (TLT, GURT/SyntaxFest 2023)
Impact of Adversarial Training on Robustness and Generalizability of Language Models — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
Impact of Co-occurrence on Factual Knowledge of Large Language Models — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Implications of Annotation Artifacts in Edge Probing Test Datasets — 2023 · Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL)
Improving Grammar-based Sequence-to-Sequence Modeling with Decomposition and Constraints — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
Improving Low-resource RRG Parsing with Structured Gloss Embeddings — 2023 · Proceedings of the Second Workshop on NLP Applications to Field Linguistics
Investigating the Effect of Pre-finetuning BERT Models on NLI Involving Presuppositions — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
It Takes Two to Tango: Navigating Conceptualizations of NLP Tasks and Measurements of Performance — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
LLM-Pruner: On the Structural Pruning of Large Language Models — 2023 · arXiv:2305.11627
LLM-enhanced Self-training for Cross-domain Constituency Parsing — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Lessons Learned from a Citizen Science Project for Natural Language Processing — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
Linear-Time Modeling of Linguistic Structure: An Order-Theoretic Perspective — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
McGill BabyLM Shared Task Submission: The Effects of Data Formatting and Structural Biases — 2023 · Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning
Medical Visual Textual Entailment for Numerical Understanding of Vision-and-Language Models — 2023 · Proceedings of the 5th Clinical Natural Language Processing Workshop
MetaPro Online: A Computational Metaphor Processing Online System — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)
NEUROSTRUCTURAL DECODING: Neural Text Generation with Structural Constraints — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation — 2023 · Northern European Journal of Language Technology
Neural Architecture Search: Two Constant Shared Weights Initialisations — 2023 · arXiv:2302.04406 · Artif Intell Rev 58, 296 (2025)
On ``Scientific Debt'''' in NLP: A Case for More Rigour in Language Model Pre-Training Research — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Parsing Early New High German: Benefits and limitations of cross-dialectal training — 2023 · Proceedings of the 21st International Workshop on Treebanks and Linguistic Theories (TLT, GURT/SyntaxFest 2023)
Personality Traits in Large Language Models — 2023 · arXiv:2307.00184
Physics of Language Models: Part 1, Learning Hierarchical Language Structures — 2023 · arXiv:2305.13673
Pit One Against Many: Leveraging Attention-head Embeddings for Parameter-efficient Multi-head Attention — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
PoS to UPoS Conversion and Creation of UPoS Tagged Resources for Assamese Language — 2023 · Proceedings of the 20th International Conference on Natural Language Processing (ICON)
Probabilistic Transformer: A Probabilistic Dependency Model for Contextual Word Representation — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
Pushing the Limits of ChatGPT on NLP Tasks — 2023 · arXiv:2306.09719
QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models — 2023 · arXiv:2310.08041
ReCode: Robustness Evaluation of Code Generation Models — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks — 2023 · arXiv:2307.02477
Rethinking the Construction of Effective Metrics for Understanding the Mechanisms of Pretrained Language Models — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Revisiting Entropy Rate Constancy in Text — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Revisiting Korean Corpus Studies through Technological Advances — 2023 · Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation
Revisiting Supertagging for Faster HPSG Pasing — 2023 · arXiv:2309.07590
Semgrex and Ssurgeon, Searching and Manipulating Dependency Graphs — 2023 · Proceedings of the 21st International Workshop on Treebanks and Linguistic Theories (TLT, GURT/SyntaxFest 2023)
Sentence Identification with BOS and EOS Label Combinations — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
Simple Hardware-Efficient PCFGs with Independent Left and Right Productions — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Small Character Models Match Large Word Models for Autocomplete Under Memory Constraints — 2023 · Proceedings of the Fourth Workshop on Simple and Efficient Natural Language Processing (SustaiNLP)
Style Locality for Controllable Generation with kNN Language Models — 2023 · Proceedings of the 1st Workshop on Taming Large Language Models: Controllability in the era of Interactive Assistants
Subspace Chronicles: How Linguistic Information Emerges, Shifts and Interacts during Language Model Training — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Syntactic Substitutability as Unsupervised Dependency Syntax — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Syntax-Aware Graph-to-Graph Transformer for Semantic Role Labelling — 2023 · Proceedings of the 8th Workshop on Representation Learning for NLP (RepL4NLP 2023)
Synthesizing Human Gaze Feedback for Improved NLP Performance — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
The Case for Scalable, Data-Driven Theory: A Paradigm for Scientific Progress in NLP — 2023 · Proceedings of the Big Picture Workshop
The DISRPT 2023 Shared Task on Elementary Discourse Unit Segmentation, Connective Detection, and Relation Classification — our card · 2023 · Proceedings of the 3rd Shared Task on Discourse Relation Parsing and Treebanking (DISRPT 2023)
The Dark Side of the Language: Pre-trained Transformers in the DarkNet — 2023 · Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing
The KITMUS Test: Evaluating Knowledge Integration from Multiple Sources — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
The Sequence Notation: Catching Complex Meanings in Simple Graphs — 2023 · Proceedings of the 15th International Conference on Computational Semantics
Token-wise Decomposition of Autoregressive Language Model Hidden States for Analyzing Model Predictions — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Toward a Multilingual Connective Database: Aligning German/French Concessive Connectives — 2023 · Proceedings of the 19th Conference on Natural Language Processing (KONVENS 2023)
Towards Domain-Agnostic and Domain-Adaptive Dementia Detection from Spoken Language — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Training-free Neural Architecture Search for RNNs and Transformers — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Transformers as Graph-to-Graph Models — 2023 · Proceedings of the Big Picture Workshop
Tree-shape Uncertainty for Analyzing the Inherent Branching Bias of Unsupervised Parsing Models — 2023 · Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL)
Understanding the Impact of Post-Training Quantization on Large Language Models — 2023 · arXiv:2309.05210
Unified Syntactic Annotation of English in the CGEL Framework — 2023 · LAW-XVII 2023 (Linguistic Annotation Workshop, ACL)
Unified Syntactic Annotation of English in the CGEL Framework — our card · 2023 · Proceedings of the 17th Linguistic Annotation Workshop (LAW-XVII)