A Hybrid Semantic Representation Method Based on Fusion Conceptual Knowledge and Weighted Word Embeddings for English Texts

The accuracy of traditional topic models may be compromised due to the sparsity of co-occurring vocabulary in the corpus, whereas conventional word embedding models tend to excessively prioritize contextual semantic information and inadequately capture domain-specific features in the text. This pape...

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Detalles Bibliográficos

Autores principales:	Zan Qiu, Guimin Huang, Xingguo Qin, Yabing Wang, Jiahao Wang, Ya Zhou
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2024-11-01
Colección:	Information
Materias:	text representation conceptual knowledge word embeddings information fusion
Acceso en línea:	https://www.mdpi.com/2078-2489/15/11/708
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