DATG: Data Augmentation with Transformer-Based Generation for Low-Resource Named Entity Recognition-Reference-Cited by-同舟云学术

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DATG: Data Augmentation with Transformer-Based Generation for Low-Resource Named Entity Recognition

Published:2023-11-17 Issue: Volume:27 Page:6188-6193
ISSN:
Container-title:2023 China Automation Congress (CAC)
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Author:

Yili Qian¹,Haonan Xu²

Affiliation:

1. School of Computer and Information Technology Shanxi University,Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education,Taiyuan,China

2. School of Computer and Information Technology Shanxi University,Taiyuan,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10450150/10449968/10450919.pdf?arnumber=10450919

Reference23 articles.

1. To Augment or Not to Augment? A Comparative Study on Text Augmentation Techniques for Low-Resource NLP

2. A Survey of Data Augmentation Approaches for NLP

3. Data augmentation approaches in natural language processing: A survey

4. A Survey on Data Augmentation for Text Classification

5. A survey on Image Data Augmentation for Deep Learning

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