The Automatic Text Classification Method Based on BERT and Feature Union

For the traditional model based on the deep learning method most used CNN(convolutional neural networks) or RNN(Recurrent neural Network) model and is based on the dynamic character-level embedding or word-level embedding as input, so there is a problem that the text feature extraction is not compre...

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Veröffentlicht in:	2019 IEEE 25th International Conference on Parallel and Distributed Systems (ICPADS) S. 774 - 777
Hauptverfasser:	Li, Wenting, Gao, Shangbing, Zhou, Hong, Huang, Zihe, Zhang, Kewen, Li, Wei
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.12.2019
Schlagworte:	Accuracy BERT Bidirectional control Bidirectional long short term memory BiLSTM CNN Convolutional neural networks Encoding Feature extraction Feature Union Heat maps Neural networks NLP Text categorization Text classification Transformers
Online-Zugang:	Volltext
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