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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 76–97 of 97 papers

TitleStatusHype
Shuffle & Divide: Contrastive Learning for Long Text—0
BOUN at SemEval-2021 Task 9: Text Augmentation Techniques for Fact Verification in Tabular Data—0
Textual Data Augmentation for Arabic-English Code-Switching Speech Recognition—0
Context-Aware Clustering using Large Language Models—0
SkoltechNLP at SemEval-2020 Task 11: Exploring Unsupervised Text Augmentation for Propaganda Detection—0
UNICON: Unsupervised Intent Discovery via Semantic-level Contrastive Learning—0
Data Augmentation for Low-Resource Quechua ASR Improvement—0
An Enhanced Text Classification to Explore Health based Indian Government Policy Tweets—0
Data Boost: Text Data Augmentation Through Reinforcement Learning Guided Conditional Generation—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
CleanerCLIP: Fine-grained Counterfactual Semantic Augmentation for Backdoor Defense in Contrastive Learning—0
Boosting Text Classification Performance on Sexist Tweets by Text Augmentation and Text Generation Using a Combination of Knowledge Graphs—0
Drug Re-positioning via Text Augmented Knowledge Graph Embeddings—0
Boosting Event Extraction with Denoised Structure-to-Text Augmentation—0
TARDiS : Text Augmentation for Refining Diversity and Separability—0
Advancing NLP Models with Strategic Text Augmentation: A Comprehensive Study of Augmentation Methods and Curriculum Strategies—0
An efficient text augmentation approach for contextualized Mandarin speech recognition—0
Empirical Study of Text Augmentation on Social Media Text in Vietnamese—0
Enabling Classifiers to Make Judgements Explicitly Aligned with Human Values—0
Entity Aware Syntax Tree Based Data Augmentation for Natural Language Understanding—0
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