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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 51–75 of 97 papers

TitleStatusHype
Enabling Classifiers to Make Judgements Explicitly Aligned with Human Values—0
BootAug: Boosting Text Augmentation via Hybrid Instance Filtering FrameworkCode1
Zemi: Learning Zero-Shot Semi-Parametric Language Models from Multiple TasksCode1
Adaptation of domain-specific transformer models with text oversampling for sentiment analysis of social media posts on Covid-19 vaccinesCode0
DoubleMix: Simple Interpolation-Based Data Augmentation for Text ClassificationCode1
Entity Aware Syntax Tree Based Data Augmentation for Natural Language Understanding—0
Selective Text Augmentation with Word Roles for Low-Resource Text ClassificationCode0
Data Augmentation for Low-Resource Quechua ASR Improvement—0
BAN-Cap: A Multi-Purpose English-Bangla Image Descriptions DatasetCode0
Show Me What and Tell Me How: Video Synthesis via Multimodal ConditioningCode1
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
Text Augmentation Techniques in Drug Adverse Effect Detection Task—0
GPT3Mix: Leveraging Large-scale Language Models for Text AugmentationCode1
Back Translation Survey for Improving Text Augmentation—0
Neural Data-to-Text Generation with LM-based Text Augmentation—0
Text Augmentation in a Multi-Task View—0
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