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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Autors principals:	Zan Qiu, Guimin Huang, Xingguo Qin, Yabing Wang, Jiahao Wang, Ya Zhou
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2024-11-01
Col·lecció:	Information
Matèries:	text representation conceptual knowledge word embeddings information fusion
Accés en línia:	https://www.mdpi.com/2078-2489/15/11/708
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