SECNN: Squeeze-and-Excitation Convolutional Neural Network for Sentence Classification

SECNN: Squeeze-and-Excitation Convolutional Neural Network for Sentence Classification

Sentence classification constitutes a fundamental task in natural language processing. Convolutional Neural Networks (CNNs) have gained prominence in this domain due to their capacity to extract n-gram features through parallel convolutional filters, effectively capturing local lexical correlations....

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Bibliographic Details
Main Authors: Shandong Yuan, Zili Zou, Han Zhou, Yun Ren, Jianping Wu, Kai Yan
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Sentence classification
convolutional neural networks
squeeze-and-excitation
channel-wise attention
Online Access:https://ieeexplore.ieee.org/document/10910169/
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