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Chinese Text Classification with BERT by aryan.stmarys.111 is a document available to read on EtoBox.

What is Chinese Text Classification with BERT about?

The document discusses advancements in Chinese Text Classification (TC) using various models like BERT and RoBERTa, highlighting their effectiveness in improving classification accuracy. It emphasizes the integration of convolutional neural networks with BERT to enhance semantic understanding and proposes a BERT-BiGRU model to address issues of training time and overfitting. The paper concludes with an outlook on new pre-training models for Chinese TC and their potential applications in natural language pro

Author

aryan.stmarys.111

Language

EN