Hierarchical Multi-Granularity Attention- Based Hybrid Neural Network for Text Classification

Hierarchical Multi-Granularity Attention- Based Hybrid Neural Network for Text Classification

Neural network-based approaches have become the driven forces for Natural Language Processing (NLP) tasks. Conventionally, there are two mainstream neural architectures for NLP tasks: the recurrent neural network (RNN) and the convolution neural network (ConvNet). RNNs are good at modeling long-term...

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Bibliographic Details
Main Authors: Zhenyu Liu, Chaohong Lu, Haiwei Huang, Shengfei Lyu, Zhenchao Tao
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Attention mechanism
multichannel
convolutional neural network
text classification
Online Access:https://ieeexplore.ieee.org/document/9167245/

Internet

https://ieeexplore.ieee.org/document/9167245/

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