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Text Augmentation

You can read these blog posts to get an overview of the approaches.

Papers

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Showing 51–97 of 97 papers

TitleStatusHype
Enabling Classifiers to Make Judgements Explicitly Aligned with Human Values—0
BootAug: Boosting Text Augmentation via Hybrid Instance Filtering FrameworkCode1
Zemi: Learning Zero-Shot Semi-Parametric Language Models from Multiple TasksCode1
Adaptation of domain-specific transformer models with text oversampling for sentiment analysis of social media posts on Covid-19 vaccinesCode0
DoubleMix: Simple Interpolation-Based Data Augmentation for Text ClassificationCode1
Entity Aware Syntax Tree Based Data Augmentation for Natural Language Understanding—0
Selective Text Augmentation with Word Roles for Low-Resource Text ClassificationCode0
Data Augmentation for Low-Resource Quechua ASR Improvement—0
BAN-Cap: A Multi-Purpose English-Bangla Image Descriptions DatasetCode0
Show Me What and Tell Me How: Video Synthesis via Multimodal ConditioningCode1
Textual Data Augmentation for Arabic-English Code-Switching Speech Recognition—0
UCD-CS at TREC 2021 Incident Streams TrackCode0
Linguistic Knowledge in Data Augmentation for Natural Language Processing: An Example on Chinese Question MatchingCode0
To Augment or Not to Augment? A Comparative Study on Text Augmentation Techniques for Low-Resource NLP—0
UNICON: Unsupervised Intent Discovery via Semantic-level Contrastive Learning—0
Roles of Words: What Should (n’t) Be Augmented in Text Augmentation on Text Classification Tasks?—0
Drug Re-positioning via Text Augmented Knowledge Graph Embeddings—0
What Have Been Learned & What Should Be Learned? An Empirical Study of How to Selectively Augment Text for Classification—0
Self-training Improves Pre-training for Few-shot Learning in Task-oriented Dialog SystemsCode0
BOUN at SemEval-2021 Task 9: Text Augmentation Techniques for Fact Verification in Tabular Data—0
Text Augmentation Techniques in Drug Adverse Effect Detection Task—0
GPT3Mix: Leveraging Large-scale Language Models for Text AugmentationCode1
Back Translation Survey for Improving Text Augmentation—0
Neural Data-to-Text Generation with LM-based Text Augmentation—0
Text Augmentation in a Multi-Task View—0
Better Robustness by More Coverage: Adversarial Training with Mixup Augmentation for Robust Fine-tuningCode1
Data Boost: Text Data Augmentation Through Reinforcement Learning Guided Conditional Generation—0
SkoltechNLP at SemEval-2020 Task 11: Exploring Unsupervised Text Augmentation for Propaganda Detection—0
Adversarial Evaluation of Multimodal Models under Realistic Gray Box Assumption—0
Text Augmentation for Language Models in High Error Recognition ScenarioCode1
Empirical Study of Text Augmentation on Social Media Text in Vietnamese—0
Empirical Study of Text Augmentation on Social Media Text in VietnameseCode0
Prediction of ICD Codes with Clinical BERT Embeddings and Text Augmentation with Label Balancing using MIMIC-III—0
Deep Transformer based Data Augmentation with Subword Units for Morphologically Rich Online ASR—0
An Enhanced Text Classification to Explore Health based Indian Government Policy Tweets—0
Text Data Augmentation: Towards better detection of spear-phishing emails—0
On the Effectiveness of Neural Text Generation based Data Augmentation for Recognition of Morphologically Rich Speech—0
"Hinglish" Language -- Modeling a Messy Code-Mixed Language—0
Improving short text classification through global augmentation methodsCode0
Data Augmentation via Dependency Tree Morphing for Low-Resource LanguagesCode0
Robust Authorship Verification with Transfer Learning—0
EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification TasksCode2
Text Data Augmentation Made Simple By Leveraging NLP Cloud APIsCode0
Boosting Text Classification Performance on Sexist Tweets by Text Augmentation and Text Generation Using a Combination of Knowledge Graphs—0
Sequence-to-Sequence Data Augmentation for Dialogue Language UnderstandingCode0
Contextual Augmentation: Data Augmentation by Words with Paradigmatic RelationsCode0
Learning to Compose Domain-Specific Transformations for Data AugmentationCode0
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