Combining Convolution Neural Network and Bidirectional Gated Recurrent Unit for Sentence Semantic Classification

Combining Convolution Neural Network and Bidirectional Gated Recurrent Unit for Sentence Semantic Classification

Many keywords in a sentence that represents the semantic propensity of the sentence. These words can exist anywhere in the sentence, which poses a great challenge to sentence semantic classification. The current sentence semantic classification methods usually tackle this problem by the use of atten...

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Bibliographic Details
Main Authors: Dejun Zhang, Long Tian, Mingbo Hong, Fei Han, Yafeng Ren, Yilin Chen
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Semantic distribution
sentence classification
natural language processing
convolution neural network
bidirectional gated recurrent unit
Online Access:https://ieeexplore.ieee.org/document/8543213/

Internet

https://ieeexplore.ieee.org/document/8543213/

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