Admojo et al., 2023

technology
Author

Admojo et al.

Year of Publication

2023

Journal

Knowledge Engineering and Data Science

ISSN

2597-4637

Publisher

Universitas Negeri Malang (Malang, Indonesia)

Indexing

DOAJ

Third, specifically for the statistical approach employed in ontology-based Indonesian QA systems, it is crucial to consider the incorporation of more sophisticated and context-aware language models, such as transformer-based models like GPT-4, RoBERTa, or even more recent iterations that may emerge since knowledge cutoff in September 2021.1

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References

1Admojo FT, Lajis A, Nasir H. Systematic Literature Review on Ontology-based Indonesian Question Answering System. Knowledge Engineering and Data Science. 2023;6(2):129-144. doi:10.17977/um018v6i22023p129-144