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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 26–50 of 97 papers

TitleStatusHype
Advancing NLP Models with Strategic Text Augmentation: A Comprehensive Study of Augmentation Methods and Curriculum Strategies—0
Evaluation Metrics for Text Data Augmentation in NLP—0
RESMatch: Referring Expression Segmentation in a Semi-Supervised Manner—0
Multimodal Unsupervised Domain Generalization by Retrieving Across the Modality GapCode0
A Survey on Data Augmentation in Large Model EraCode2
IndiText Boost: Text Augmentation for Low Resource India Languages—0
Effects of diversity incentives on sample diversity and downstream model performance in LLM-based text augmentationCode0
Iterative Mask Filling: An Effective Text Augmentation Method Using Masked Language Modeling—0
Augmenty: A Python Library for Structured Text Augmentation—0
From Big to Small Without Losing It All: Text Augmentation with ChatGPT for Efficient Sentiment AnalysisCode0
Teaching Specific Scientific Knowledge into Large Language Models through Additional TrainingCode0
TextAug: Test time Text Augmentation for Multimodal Person Re-identification—0
COVID-19 Vaccine Misinformation in Middle Income CountriesCode0
CLAP: Isolating Content from Style through Contrastive Learning with Augmented PromptsCode1
Pretraining Language Models with Text-Attributed Heterogeneous GraphsCode1
Decoder-only Architecture for Speech Recognition with CTC Prompts and Text Data Augmentation—0
Distributional Data Augmentation Methods for Low Resource LanguageCode0
Story Visualization by Online Text Augmentation with Context MemoryCode1
Probabilistic Linguistic Knowledge and Token-level Text Augmentation—0
Text Generation with Speech Synthesis for ASR Data Augmentation—0
Boosting Event Extraction with Denoised Structure-to-Text Augmentation—0
Shuffle & Divide: Contrastive Learning for Long Text—0
STA: Self-controlled Text Augmentation for Improving Text ClassificationsCode0
Improving Fast-slow Encoder based Transducer with Streaming Deliberation—0
RPN: A Word Vector Level Data Augmentation Algorithm in Deep Learning for Language UnderstandingCode0
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