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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 71–80 of 97 papers

TitleStatusHype
Text Generation with Speech Synthesis for ASR Data Augmentation—0
To Augment or Not to Augment? A Comparative Study on Text Augmentation Techniques for Low-Resource NLP—0
Toward General and Robust LLM-enhanced Text-attributed Graph Learning—0
Adversarial Evaluation of Multimodal Models under Realistic Gray Box Assumption—0
An Experimental Study on Data Augmentation Techniques for Named Entity Recognition on Low-Resource Domains—0
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
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