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Research on Dual Channel News Headline Classification Based on ERNIE Pre-training Model ...
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Abstract:
The classification of news headlines is an important direction in the field of NLP, and its data has the characteristics of compactness, uniqueness and various forms. Aiming at the problem that the traditional neural network model cannot adequately capture the underlying feature information of the data and cannot jointly extract key global features and deep local features, a dual-channel network model DC-EBAD based on the ERNIE pre-training model is proposed. Use ERNIE to extract the lexical, semantic and contextual feature information at the bottom of the text, generate dynamic word vector representations fused with context, and then use the BiLSTM-AT network channel to secondary extract the global features of the data and use the attention mechanism to give key parts higher The weight of the DPCNN channel is used to overcome the long-distance text dependence problem and obtain deep local features. The local and global feature vectors are spliced, and finally passed to the fully connected layer, and the ...
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Keyword:
Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://dx.doi.org/10.48550/arxiv.2202.06600 https://arxiv.org/abs/2202.06600
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PHMOSpell: Phonological and Morphological Knowledge Guided Chinese Spelling Check ...
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The label of Chinese Culture Is Harmonious Culture
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In: Cross-Cultural Communication; Vol 15, No 2 (2019): Cross-Cultural Communication; 25-28 ; 1923-6700 ; 1712-8358 (2019)
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The Study of Cultural Soft Power under the Construction of New Rural Areas
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In: Cross-Cultural Communication; Vol 8, No 1 (2012): Cross-Cultural Communication; 52-55 ; 1923-6700 ; 1712-8358 (2012)
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