← Keywords

data augmentation

3037 papers

Explore in graph

Also known as

DA-MCMC DADA DA TTA ADA EDA

Co-occurring keywords

text classification (6776) large language model (12755) transfer learning (5442) semi-supervised learning (2331) few-shot learning (3390) domain adaptation (4578) machine translation (2472) image classification (1943) language model (4573) low-resource language (2234)

Papers

Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models ACL 2021
IITK at SemEval-2021 Task 10: Source-Free Unsupervised Domain Adaptation using Class Prototypes ACL 2021
The University of Arizona at SemEval-2021 Task 10: Applying Self-training, Active Learning and Data Augmentation to Source-free Domain Adaptation ACL 2021
Constructing Multi-Modal Dialogue Dataset by Replacing Text with Semantically Relevant Images ACL 2021
Data augmentation for low-resource grapheme-to-phoneme mapping ACL 2021
Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis ACL 2021
GOLD: Improving Out-of-Scope Detection in Dialogues using Data Augmentation EMNLP 2021
AfroMT: Pretraining Strategies and Reproducible Benchmarks for Translation of 8 African Languages EMNLP 2021
Efficient Contrastive Learning via Novel Data Augmentation and Curriculum Learning EMNLP 2021
Machine Reading Comprehension as Data Augmentation: A Case Study on Implicit Event Argument Extraction EMNLP 2021
Learning from Multiple Noisy Augmented Data Sets for Better Cross-Lingual Spoken Language Understanding EMNLP 2021
Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models EMNLP 2021
Semantics-Preserved Data Augmentation for Aspect-Based Sentiment Analysis EMNLP 2021
Unsupervised Paraphrasing Consistency Training for Low Resource Named Entity Recognition EMNLP 2021
Data Augmentation for Cross-Domain Named Entity Recognition EMNLP 2021
Good-Enough Example Extrapolation EMNLP 2021
A Semantic Feature-Wise Transformation Relation Network for Automatic Short Answer Grading EMNLP 2021
Learning with Different Amounts of Annotation: From Zero to Many Labels EMNLP 2021
Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification EMNLP 2021
HypMix: Hyperbolic Interpolative Data Augmentation EMNLP 2021
Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training EMNLP 2021
Table-based Fact Verification With Salience-aware Learning EMNLP 2021
Learning Bill Similarity with Annotated and Augmented Corpora of Bills EMNLP 2021
GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation EMNLP 2021
“Be nice to your wife! The restaurants are closed”: Can Gender Stereotype Detection Improve Sexism Classification? EMNLP 2021