Hierarchical Convolutional Attention Networks Using Joint Chinese Word Embedding for Text Classification

Kaiqiang Zhang; Shupeng Wang; Binbin Li; Feng Mei; Jianyu Zhang

doi:10.1007/978-3-030-29894-4_18

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Hierarchical Convolutional Attention Networks Using Joint Chinese Word Embedding for Text Classification

Kaiqiang Zhang Shupeng Wang Binbin Li Feng Mei Jianyu Zhang

Year: 2019 Lecture notes in computer science Pages: 234-246 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-29894-4_18

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Keywords:

Computer science Artificial intelligence Embedding Word (group theory) Word embedding Character (mathematics) Natural language processing Convolution (computer science) Feature (linguistics) Joint (building) Convolutional neural network Pattern recognition (psychology) Artificial neural network Linguistics

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Topic Modeling

Physical Sciences → Computer Science → Artificial Intelligence

Text and Document Classification Technologies

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Text Analysis Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Hierarchical Convolutional Attention Networks Using Joint Chinese Word Embedding for Text Classification

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