Text Augmentation
34 papers with code • 0 benchmarks • 0 datasets
You can read these blog posts to get an overview of the approaches.
Benchmarks
These leaderboards are used to track progress in Text Augmentation
Libraries
Use these libraries to find Text Augmentation models and implementationsMost implemented papers
Better Robustness by More Coverage: Adversarial Training with Mixup Augmentation for Robust Fine-tuning
thunlp/MixADA
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In this work, we propose a simple and effective method to cover a much larger proportion of the attack search space, called Adversarial and Mixup Data Augmentation (AMDA).
GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation
naver-ai/hypermix
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Findings (EMNLP) 2021
Large-scale language models such as GPT-3 are excellent few-shot learners, allowing them to be controlled via natural text prompts.
Self-training Improves Pre-training for Few-shot Learning in Task-oriented Dialog Systems
In this paper, we devise a self-training approach to utilize the abundant unlabeled dialog data to further improve state-of-the-art pre-trained models in few-shot learning scenarios for ToD systems.
Linguistic Knowledge in Data Augmentation for Natural Language Processing: An Example on Chinese Question Matching
jaaack-wang/linguistic-knowledge-in-DA-for-NLP
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To investigate the role of linguistic knowledge in data augmentation (DA) for Natural Language Processing (NLP), we designed two adapted DA programs and applied them to LCQMC (a Large-scale Chinese Question Matching Corpus) for a binary Chinese question matching classification task.
UCD-CS at TREC 2021 Incident Streams Track
wangcongcong123/crisis-mtl
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In recent years, the task of mining important information from social media posts during crises has become a focus of research for the purposes of assisting emergency response (ES).
Show Me What and Tell Me How: Video Synthesis via Multimodal Conditioning
snap-research/mmvid
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CVPR 2022
In addition, our model can extract visual information as suggested by the text prompt, e. g., "an object in image one is moving northeast", and generate corresponding videos.
BAN-Cap: A Multi-Purpose English-Bangla Image Descriptions Dataset
faiyazkhan11/ban-cap
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LREC 2022
As computers have become efficient at understanding visual information and transforming it into a written representation, research interest in tasks like automatic image captioning has seen a significant leap over the last few years.
Selective Text Augmentation with Word Roles for Low-Resource Text Classification
beyondguo/STA
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Different words may play different roles in text classification, which inspires us to strategically select the proper roles for text augmentation.
DoubleMix: Simple Interpolation-Based Data Augmentation for Text Classification
declare-lab/doublemix
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COLING 2022
This paper proposes a simple yet effective interpolation-based data augmentation approach termed DoubleMix, to improve the robustness of models in text classification.
Adaptation of domain-specific transformer models with text oversampling for sentiment analysis of social media posts on Covid-19 vaccines
ace117mc/transformer-models-covid
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Covid-19 has spread across the world and several vaccines have been developed to counter its surge.
