Enhancing Text Classification Models with Generative AI-aided Data Augmentation-Reference-Cited by-同舟云学术

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Enhancing Text Classification Models with Generative AI-aided Data Augmentation

Published:2023-07 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference On Artificial Intelligence Testing (AITest)
language:
Short-container-title:

Author:

Zhao Huanhuan¹,Chen Haihua²,Yoon Hong-Jun³

Affiliation:

1. The University of Tennessee,Data Science and Engineering,Knoxville,TN,USA

2. The University of North Texas,Department of Information Science,Denton,TX,USA

3. Oak Ridge National Laboratory,Computational Sciences and Engineering Division,Oak Ridge,TN,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10229222/10229438/10229448.pdf?arnumber=10229448

Reference23 articles.

1. The Unified Medical Language System (UMLS): integrating biomedical terminology

2. NCI Thesaurus: A semantic model integrating cancer-related clinical and molecular information

3. Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment

4. EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks

5. Improving language understanding by generative pre-training;radford,2018

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Data Augmentation using Generative-AI;Journal of Innovative Image Processing;2024-09

2. Improving Text Classification with Large Language Model-Based Data Augmentation;Electronics;2024-06-28

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