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

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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Bibliographic Details
Main Authors: Zan Qiu, Guimin Huang, Xingguo Qin, Yabing Wang, Jiahao Wang, Ya Zhou
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Information
Subjects:
text representation
conceptual knowledge
word embeddings
information fusion
Online Access:https://www.mdpi.com/2078-2489/15/11/708
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