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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 61–70 of 97 papers

TitleStatusHype
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
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