Application of the transformer model algorithm in chinese word sense disambiguation: a case study in chinese language

Abstract This study aims to explore the research methodology of applying the Transformer model algorithm to Chinese word sense disambiguation, seeking to resolve word sense ambiguity in the Chinese language. The study introduces deep learning and designs a Chinese word sense disambiguation model bas...

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Bibliographic Details
Main Authors: Linlin Li, Juxing Li, Hongli Wang, Jianing Nie
Format: Article
Language:English
Published: Nature Portfolio 2024-03-01
Series:Scientific Reports
Subjects:
Online Access:https://doi.org/10.1038/s41598-024-56976-5