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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 51–60 of 97 papers

TitleStatusHype
QAEA-DR: A Unified Text Augmentation Framework for Dense Retrieval—0
RESMatch: Referring Expression Segmentation in a Semi-Supervised Manner—0
Robust Authorship Verification with Transfer Learning—0
Roles of Words: What Should (n’t) Be Augmented in Text Augmentation on Text Classification Tasks?—0
Boosting Text Classification Performance on Sexist Tweets by Text Augmentation and Text Generation Using a Combination of Knowledge Graphs—0
Adversarial Evaluation of Multimodal Models under Realistic Gray Box Assumption—0
BOUN at SemEval-2021 Task 9: Text Augmentation Techniques for Fact Verification in Tabular Data—0
Shuffle & Divide: Contrastive Learning for Long Text—0
SkoltechNLP at SemEval-2020 Task 11: Exploring Unsupervised Text Augmentation for Propaganda Detection—0
CleanerCLIP: Fine-grained Counterfactual Semantic Augmentation for Backdoor Defense in Contrastive Learning—0
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