Word and Character Semantic Fusion by Pretrained Language Models for Text Classification
Author:
Affiliation:
1. Sanda University,School of Information Science and Technology,Shanghai,China,201209
2. Zhongnan University of Economics and Law,School of Information and Safety Engineering,Wuhan,China,430073
Funder
Natural Science Foundation of Shanghai
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10649807/10649898/10651461.pdf?arnumber=10651461
Reference54 articles.
1. Paranet: Parallel networks with pre-trained models for text classification;Wu
2. CharCaps: Character-Level Text Classification Using Capsule Networks
3. Bert: Pre-training of deep bidirectional transformers for language understanding;Devlin;North American Chapter of the Association for Computational Linguistics,2019
4. Contextualized Weak Supervision for Text Classification
5. GAN-BERT: Generative Adversarial Learning for Robust Text Classification with a Bunch of Labeled Examples
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