Apr 21, 2025 · Text augmentation is an essential technique in Natural Language Processing (NLP) that helps improve model robustness by expanding the training data. One popular method is introducing corrupted or noisy text to simulate real-world …

Jul 19, 2021 · Our survey presents several strategies for applying Data Augmentation to text data. We cluster these augmentations into symbolic or neural methods. Symbolic methods use rules or discrete data structures to form synthetic examples.

Jun 6, 2021 · This article will show how to code in PyTorch, data augmentation techniques for deep learning problems such as text classification, text generation, etc. For data augmentation with Image...

Jan 31, 2025 · This survey provides an in-depth analysis of data augmentation in LLMs, classifying the techniques into Simple Augmentation, Prompt-based Augmentation, Retrieval-based Augmentation and Hybrid Augmentation.

Sep 1, 2023 · Apply data augmentation to your text data. Data augmentation techniques are used to generate additional, synthetic data using the data you have. Augmentation methods are super popular in computer vision applications but they are just as powerful for NLP.

Data augmentation is a useful approach to enhance the performance of the deep learning model. It generates new data instances from the existing training data, with the objective of improving the performance of the downstream model. This approach has achieved much success in …

Feb 11, 2025 · Data Augmentation (DA) Technique, implemented through tools like TextAttack, is a process that enables us to artificially increase training data size by generating different versions of real datasets without actually collecting the data. The data needs to be changed to preserve the class categories for better performance in the classification task.

Nov 24, 2023 · Natural language processing model performance and generalization are greatly enhanced by text data augmentation. This paper introduces nlpaug, a Python library.

Jun 24, 2022 · Using a method known as data augmentation, you can create more data for your machine learning project. Data augmentation is a collection of techniques that manage the process of automatically generating high-quality data on top of existing data.

May 29, 2025 · In this paper, we present a powerful and easy to deploy text augmentation framework, Data Boost, which augments data through reinforcement learning guided conditional generation. We evaluate Data Boost on three diverse text classification tasks under five different classifier architectures.