Convolution-Based Neural Attention With Applications to Sentiment Classification

Convolution-Based Neural Attention With Applications to Sentiment Classification

Neural attention mechanism has achieved many successes in various tasks in natural language processing. However, existing neural attention models based on a densely connected network are loosely related to the attention mechanism found in psychology and neuroscience. Motivated by the finding in neur...

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Bibliographic Details
Main Authors: Jiachen Du, Lin Gui, Yulan He, Ruifeng Xu, Xuan Wang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Natural language processing
sentiment classification
convolutional neural networks
neural attention model
Online Access:https://ieeexplore.ieee.org/document/8648327/

Internet

https://ieeexplore.ieee.org/document/8648327/

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