Who cites «Building a Large Annotated Corpus of English: The Penn Treebank» · page 6

2515 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

数据标注方法比较研究:以依存句法树标注为例(Comparison Study on Data Annotation Approaches: Dependency Tree Annotation as Case Study) — 2021 · Proceedings of the 20th Chinese National Conference on Computational Linguistics
A Corpus of Encyclopedia Articles with Logical Forms — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
A Neural Approach to Discourse Relation Signal Detection — 2020
A Span-based Linearization for Constituent Trees — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
A Streaming Approach For Efficient Batched Beam Search — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
A Systematic Assessment of Syntactic Generalization in Neural Language Models — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
A Tale of a Probe and a Parser — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
A Tokenization System for the Kurdish Language — 2020 · Proceedings of the 7th Workshop on NLP for Similar Languages, Varieties and Dialects
A Tree Extension for CoNLL-RDF — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
A closer look at the performance of neural language models on reflexive anaphor licensing — 2020 · Proceedings of the Society for Computation in Linguistics 2020
Abstract Syntax as Interlingua: Scaling Up the Grammatical Framework from Controlled Languages to Robust Pipelines — our card · 2020
Adaptation of Multilingual Transformer Encoder for Robust Enhanced Universal Dependency Parsing — 2020 · Proceedings of the 16th International Conference on Parsing Technologies and the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies
An Empirical Comparison of Unsupervised Constituency Parsing Methods — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
An Empirical Investigation of Beam-Aware Training in Supertagging — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
Analysing Word Representation from the Input and Output Embeddings in Neural Network Language Models — 2020 · Proceedings of the 24th Conference on Computational Natural Language Learning
Analyzing Individual Neurons in Pre-trained Language Models — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Analyzing Redundancy in Pretrained Transformer Models — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Anaphoric Zero Pronoun Identification: A Multilingual Approach — 2020 · Proceedings of the Third Workshop on Computational Models of Reference, Anaphora and Coreference
Asking without Telling: Exploring Latent Ontologies in Contextual Representations — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
At Which Level Should We Extract? An Empirical Analysis on Extractive Document Summarization — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
Attending to Long-Distance Document Context for Sequence Labeling — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
BERTweet: A pre-trained language model for English Tweets — 2020 · arXiv:2005.10200
Beat the AI: Investigating Adversarial Human Annotation for Reading Comprehension — 2020
Building a Treebank for Chinese Literature for Translation Studies — 2020 · Proceedings of the 19th International Workshop on Treebanks and Linguistic Theories
Comparing PTB and UD information for PDTB discourseconnective identification — our card · 2020 · Actes de la 6e conférence conjointe Journées d''Études sur la Parole (JEP, 33e édition), Traitement Automatique des Langues Naturelles (TALN, 27e édition), Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues (RÉCITAL, 22e édition). Volume 3 : Rencontre des Étudiants Chercheurs en Informatique pour le TAL
Compositional Neural Machine Translation by Removing the Lexicon from Syntax — 2020 · arXiv:2002.08899
ConjNLI: Natural Language Inference Over Conjunctive Sentences — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Constituency Lattice Encoding for Aspect Term Extraction — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
Constructing a Public Meeting Corpus — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
Converting the Point of View of Messages Spoken to Virtual Assistants — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
Deep Inside-outside Recursive Autoencoder with All-span Objective — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
Effective Estimation of Deep Generative Language Models — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
Efficient Constituency Parsing by Pointing — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
End-to-End Negation Resolution as Graph Parsing — 2020 · Proceedings of the 16th International Conference on Parsing Technologies and the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies
Enriched In-Order Linearization for Faster Sequence-to-Sequence Constituent Parsing — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
Evaluating Models' Local Decision Boundaries via Contrast Sets — our card · 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
Examining the State-of-the-Art in News Timeline Summarization — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
Experience Grounds Language — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Exploiting Syntactic Structure for Better Language Modeling: A Syntactic Distance Approach — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
Exploring and Predicting Transferability across NLP Tasks — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Extending Implicit Discourse Relation Recognition to the PDTB-3 — 2020 · Proceedings of the First Workshop on Computational Approaches to Discourse
FinSBD-2020: The 2nd Shared Task on Sentence Boundary Detection in Unstructured Text in the Financial Domain — 2020 · Proceedings of the Second Workshop on Financial Technology and Natural Language Processing
Finding Universal Grammatical Relations in Multilingual BERT — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
From Language to Language-ish: How Brain-Like is an LSTM''s Representation of Nonsensical Language Stimuli? — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
Graph-to-Graph Transformer for Transition-based Dependency Parsing — our card · 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
Grounded Compositional Outputs for Adaptive Language Modeling — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Heads-up! Unsupervised Constituency Parsing via Self-Attention Heads — 2020 · Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing
How Universal are Universal Dependencies? Exploiting Syntax for Multilingual Clause-level Sentiment Detection — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
Improving AMR Parsing with Sequence-to-Sequence Pre-training — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Improving Constituency Parsing with Span Attention — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
Improving Low Compute Language Modeling with In-Domain Embedding Initialisation — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Improving Text Understanding via Deep Syntax-Semantics Communication — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
Improving Variational Autoencoder for Text Modelling with Timestep-Wise Regularisation — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
Increasing Learning Efficiency of Self-Attention Networks through Direct Position Interactions, Learnable Temperature, and Convoluted Attention — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
Information-Theoretic Probing with Minimum Description Length — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Inquisitive Question Generation for High Level Text Comprehension — our card · 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Intrinsic Evaluation of Summarization Datasets — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Is the Best Better? Bayesian Statistical Model Comparison for Natural Language Processing — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
LIMIT-BERT : Linguistics Informed Multi-Task BERT — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
Language Modeling with a General Second-Order RNN — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
Latent Tree Learning with Ordered Neurons: What Parses Does It Produce? — 2020 · Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP
Learning Efficient Task-Specific Meta-Embeddings with Word Prisms — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
Linguistically-Informed Transformations (LIT): A Method for Automatically Generating Contrast Sets — 2020 · Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP
MRP 2020: The Second Shared Task on Cross-Framework and Cross-Lingual Meaning Representation Parsing — 2020 · Proceedings of the CoNLL 2020 Shared Task: Cross-Framework Meaning Representation Parsing
Masking as an Efficient Alternative to Finetuning for Pretrained Language Models — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
NLP Analytics in Finance with DoRe: A French 250M Tokens Corpus of Corporate Annual Reports — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
NUT-RC: Noisy User-generated Text-oriented Reading Comprehension — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
Neural Unsupervised Domain Adaptation in NLP–-A Survey — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
Non-Volatile Memory Array Based Quantization- and Noise-Resilient LSTM Neural Networks — 2020 · arXiv:2002.10636
Normalizing Compositional Structures Across Graphbanks — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
Nurse is Closer to Woman than Surgeon? Mitigating Gender-Biased Proximities in Word Embeddings — 2020 · Transactions of the Association for Computational Linguistics
On Importance Sampling-Based Evaluation of Latent Language Models — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
On the Branching Bias of Syntax Extracted from Pre-trained Language Models — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
On the Creation of a Corpus for Coherence Evaluation of Discursive Units — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
On the Encoder-Decoder Incompatibility in Variational Text Modeling and Beyond — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
On the Exploration of English to Urdu Machine Translation — 2020 · Proceedings of the 1st Joint Workshop on Spoken Language Technologies for Under-resourced languages (SLTU) and Collaboration and Computing for Under-Resourced Languages (CCURL)
On the Predictive Power of Neural Language Models for Human Real-Time Comprehension Behavior — 2020 · arXiv:2006.01912
On the Role of Supervision in Unsupervised Constituency Parsing — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
One of these words is not like the other: a reproduction of outlier identification using non-contextual word representations — 2020 · Proceedings of the First Workshop on Evaluation and Comparison of NLP Systems
Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
PALMYRA 2.0: A Configurable Multilingual Platform Independent Tool for Morphology and Syntax Annotation — 2020 · Proceedings of the Fourth Workshop on Universal Dependencies (UDW 2020)
Parsing All: Syntax and Semantics, Dependencies and Spans — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
Parsing Gapping Constructions Based on Grammatical and Semantic Roles — our card · 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Parsing as Tagging — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
Parsing into Variable-in-situ Logico-Semantic Graphs — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
Perturbed Masking: Parameter-free Probing for Analyzing and Interpreting BERT — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
Prague Dependency Treebank - Consolidated 1.0 — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
Quantifying the Contextualization of Word Representations with Semantic Class Probing — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
Reading the Manual: Event Extraction as Definition Comprehension — 2020 · Proceedings of the Fourth Workshop on Structured Prediction for NLP
Recognizing Sentence-level Logical Document Structures with the Help of Context-free Grammars — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
Rethinking Self-Attention: Towards Interpretability in Neural Parsing — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
Retrofitting Structure-aware Transformer Language Model for End Tasks — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Scaling Hidden Markov Language Models — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Second-Order Neural Dependency Parsing with Message Passing and End-to-End Training — 2020 · Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing
Self Attended Stack-Pointer Networks for Learning Long Term Dependencies — 2020 · Proceedings of the 17th International Conference on Natural Language Processing (ICON)
Semantic Parsing for English as a Second Language — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
Semantic Role Labeling as Syntactic Dependency Parsing — our card · 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Semi-Supervised Dependency Parsing with Arc-Factored Variational Autoencoding — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
Semi-supervised Autoencoding Projective Dependency Parsing — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
Semi-supervised Parsing with a Variational Autoencoding Parser — 2020 · Proceedings of the 16th International Conference on Parsing Technologies and the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies