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Data Augmentation

3622 directly classified papers

Papers per year

Papers

Planning and Generating Natural and Diverse Disfluent Texts as Augmentation for Disfluency Detection EMNLP 2020
Delexicalized Paraphrase Generation COLING 2020
ColloQL: Robust Text-to-SQL Over Search Queries EMNLP 2020
Twitter Data Augmentation for Monitoring Public Opinion on COVID-19 Intervention Measures EMNLP 2020
iNLTK: Natural Language Toolkit for Indic Languages EMNLP 2020
Generating Synthetic Data for Task-Oriented Semantic Parsing with Hierarchical Representations EMNLP 2020
CXP949 at WNUT-2020 Task 2: Extracting Informative COVID-19 Tweets - RoBERTa Ensembles and The Continued Relevance of Handcrafted Features EMNLP 2020
Linguist Geeks on WNUT-2020 Task 2: COVID-19 Informative Tweet Identification using Progressive Trained Language Models and Data Augmentation EMNLP 2020
NEU at WNUT-2020 Task 2: Data Augmentation To Tell BERT That Death Is Not Necessarily Informative EMNLP 2020
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization AISTATS 2020
On the Generalization Effects of Linear Transformations in Data Augmentation ICML 2020
Variational Hierarchical Dialog Autoencoder for Dialog State Tracking Data Augmentation EMNLP 2020
Textual Data Augmentation for Efficient Active Learning on Tiny Datasets EMNLP 2020
TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP EMNLP 2020
Best Practices for Crowd-based Evaluation of German Summarization: Comparing Crowd, Expert and Automatic Evaluation EMNLP 2020
RiSAWOZ: A Large-Scale Multi-Domain Wizard-of-Oz Dataset with Rich Semantic Annotations for Task-Oriented Dialogue Modeling EMNLP 2020
Be More with Less: Hypergraph Attention Networks for Inductive Text Classification EMNLP 2020
Do Not Have Enough Data? Deep Learning to the Rescue! AAAI 2020
Training Noise-Robust Deep Neural Networks via Meta-Learning CVPR 2020
CycleISP: Real Image Restoration via Improved Data Synthesis CVPR 2020
GAMIN: Generative Adversarial Multiple Imputation Network for Highly Missing Data CVPR 2020
Neural Networks Are More Productive Teachers Than Human Raters: Active Mixup for Data-Efficient Knowledge Distillation From a Blackbox Model CVPR 2020
Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization CVPR 2020
KnowDis: Knowledge Enhanced Data Augmentation for Event Causality Detection via Distant Supervision COLING 2020
NLPDove at SemEval-2020 Task 12: Improving Offensive Language Detection with Cross-lingual Transfer COLING 2020