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A BERT-Based Method of Named Entity Recognition for Ukiyo-e Titles

  • 2025
  • OriginalPaper
  • Chapter
Published in:
Authors
Bohao Wu
Akira Maeda
Published in
Sustainability and Empowerment in the Context of Digital Libraries
Publisher
Springer Nature Singapore

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Abstract

The chapter delves into the application of BERT-based methods for named entity recognition in Ukiyo-e titles, a critical aspect of understanding historical Japanese art. It discusses the unique challenges posed by Ukiyo-e titles, such as the use of classical Japanese scripts and the need for specialized models. The research presents a comprehensive dataset of Ukiyo-e titles and evaluates various BERT models and CRF algorithms to improve NER performance. The findings highlight the effectiveness of larger BERT models and the importance of considering entity types and label transition constraints. This work contributes to the accurate translation and structured analysis of Ukiyo-e titles, enhancing the accessibility and appreciation of this rich cultural heritage.
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next chapter Digitization in Indonesian Libraries and Archives: Mapping Cultural Heritage Across the Archipelago
Title
A BERT-Based Method of Named Entity Recognition for Ukiyo-e Titles
Authors
Bohao Wu
Akira Maeda
Copyright Year
2025
Publisher
Springer Nature Singapore
Book
Sustainability and Empowerment in the Context of Digital Libraries

Print ISBN: 978-981-9608-64-5

Electronic ISBN: 978-981-9608-65-2

Copyright Year: 2025

DOI
https://doi.org/10.1007/978-981-96-0865-2_1
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