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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 1–25 of 97 papers

TitleStatusHype
EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification TasksCode2
A Survey on Data Augmentation in Large Model EraCode2
GPT3Mix: Leveraging Large-scale Language Models for Text AugmentationCode1
Words or Vision: Do Vision-Language Models Have Blind Faith in Text?Code1
CLAP: Isolating Content from Style through Contrastive Learning with Augmented PromptsCode1
Image, Text, and Speech Data Augmentation using Multimodal LLMs for Deep Learning: A SurveyCode1
PairAug: What Can Augmented Image-Text Pairs Do for Radiology?Code1
DoubleMix: Simple Interpolation-Based Data Augmentation for Text ClassificationCode1
Show Me What and Tell Me How: Video Synthesis via Multimodal ConditioningCode1
Text Augmentation for Language Models in High Error Recognition ScenarioCode1
Story Visualization by Online Text Augmentation with Context MemoryCode1
BootAug: Boosting Text Augmentation via Hybrid Instance Filtering FrameworkCode1
Building a Multi-modal Spatiotemporal Expert for Zero-shot Action Recognition with CLIPCode1
Better Robustness by More Coverage: Adversarial Training with Mixup Augmentation for Robust Fine-tuningCode1
Pretraining Language Models with Text-Attributed Heterogeneous GraphsCode1
Zemi: Learning Zero-Shot Semi-Parametric Language Models from Multiple TasksCode1
Batch Aggregation: An Approach to Enhance Text Classification with Correlated Augmented Data—0
An Experimental Study on Data Augmentation Techniques for Named Entity Recognition on Low-Resource Domains—0
An Enhanced Text Classification to Explore Health based Indian Government Policy Tweets—0
Decoder-only Architecture for Speech Recognition with CTC Prompts and Text Data Augmentation—0
Deep Transformer based Data Augmentation with Subword Units for Morphologically Rich Online ASR—0
Distance Sampling-based Paraphraser Leveraging ChatGPT for Text Data Manipulation—0
Augmenty: A Python Library for Structured Text Augmentation—0
Advancing NLP Models with Strategic Text Augmentation: A Comprehensive Study of Augmentation Methods and Curriculum Strategies—0
Context-Aware Clustering using Large Language Models—0
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