AUG-BERT: An Efficient Data Augmentation Algorithm for Text Classification-Reference-Cited by-同舟云学术

AUG-BERT: An Efficient Data Augmentation Algorithm for Text Classification

Published:2020 Issue: Volume: Page:2191-2198
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
Short-container-title:

Author:

Shi Linqing,Liu Danyang,Liu Gongshen,Meng Kui

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-13-9409-6_266

Reference17 articles.

1. Deschacht K, Moens MF (2009) Semi-supervised semantic role labeling using the latent words language model. In: Proceedings of the 2009 conference on empirical methods in natural language processing, vol 1. Association for Computational Linguistics, pp 21–29

2. Devlin J, Chang M-W, Lee K, Toutanova K (2018) Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805

3. Fadaee M, Bisazza A, Monz C (2017) Data augmentation for low-resource neural machine translation. arXiv preprint arXiv:1705.00440

4. Kim Y (2014) Convolutional neural networks for sentence classification. arXiv preprint arXiv:1408.5882

5. Kobayashi S (2018) Contextual augmentation: Data augmentation by words with paradigmatic relations. arXiv preprint arXiv:1805.06201

Cited by 10 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. A review on emotion detection by using deep learning techniques;Artificial Intelligence Review;2024-07-11

2. Meaning-Sensitive Text Data Augmentation with Intelligent Masking;ACM Transactions on Intelligent Systems and Technology;2023-11-14

3. A systematic review of applications of natural language processing and future challenges with special emphasis in text-based emotion detection;Artificial Intelligence Review;2023-06-16

4. On the use of text augmentation for stance and fake news detection;Journal of Information and Telecommunication;2023-04-19

5. On Checking Robustness on Named Entity Recognition with Pre-trained Transformers Models;Baltic Journal of Modern Computing;2023