Application of the transformer model algorithm in chinese word sense disambiguation: a case study in...
Application of the transformer model algorithm in chinese word sense disambiguation: a case study in chinese language
About this item
Full title
Author / Creator
Li, Linlin , Li, Juxing , Wang, Hongli and Nie, Jianing
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
Formats
Publication information
Publisher
London: Nature Publishing Group UK
Subjects
More information
Scope and Contents
Contents
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 based on the fusion of the Transformer with the Bi-directional...
Alternative Titles
Full title
Application of the transformer model algorithm in chinese word sense disambiguation: a case study in chinese language
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_62a02354bfe345e7907b9f95f1240fc1
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_62a02354bfe345e7907b9f95f1240fc1
Other Identifiers
ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-024-56976-5
