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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
On the Effectiveness of Neural Text Generation based Data Augmentation for Recognition of Morphologically Rich Speech—0
Augmenting emotion features in irony detection with Large language modeling—0
Performance Improvement of Language-Queried Audio Source Separation Based on Caption Augmentation From Large Language Models for DCASE Challenge 2024 Task 9—0
Prediction of ICD Codes with Clinical BERT Embeddings and Text Augmentation with Label Balancing using MIMIC-III—0
Augment, Drop & Swap: Improving Diversity in LLM Captions for Efficient Music-Text Representation Learning—0
Probabilistic Linguistic Knowledge and Token-level Text Augmentation—0
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
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