CharTeC-Net: An Efficient and Lightweight Character-Based Convolutional Network for Text Classification

This paper introduces an extremely lightweight (with just over around two hundred thousand parameters) and computationally efficient CNN architecture, named CharTeC-Net (Character-based Text Classification Network), for character-based text classification problems. This new architecture is composed...

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Bibliographic Details
Main Authors: Aboubakar Nasser Samatin Njikam, Huan Zhao
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:Journal of Electrical and Computer Engineering
Online Access:http://dx.doi.org/10.1155/2020/9701427
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