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Automated recognition of geographical named entities in titles of Ukiyo-e prints
Stockholm University, Faculty of Humanities, Department of Asian and Middle Eastern studies.ORCID iD: 0000-0002-2908-2228
Stockholm University.
Number of Authors: 32021 (English)In: Journal of the ACM / Association for Computing Machinery, ISSN 0004-5411, p. 70-77Article in journal (Refereed) Published
Abstract [en]

This paper investigates the application of Natural Language Processing as a means to study the relationship between topography and its visual renderings in early modern Japanese ukiyo-e landscape prints. We introduce a new dataset with titles of landscape prints that have been annotated by an art historian for any included place-names. The prints are hosted by the digital database of the Art Research Center at the Ritsumeikan University, Kyoto, one of the hubs of Digital Humanities in Japan. By applying, calibrating and assessing a Named Entity Recognition (NER) tool, we argue that ‘distant viewing’ or macroanalysis of visual datasets can be facilitated, which is needed to assist art historical studies of this rich, complex and diverse research material. Experimental results indicated that the performance of NER can be improved by 30% and reach 50% precision, by using part of the introduced dataset.

Place, publisher, year, edition, pages
2021. p. 70-77
National Category
Computer Sciences Art History
Research subject
Art History; Computer Science
Identifiers
URN: urn:nbn:se:su:diva-204109DOI: 10.1145/3526242.3526254Scopus ID: 2-s2.0-85128637891OAI: oai:DiVA.org:su-204109DiVA, id: diva2:1652740
Conference
DHW 2021: Digital Humanities Workshop, 23 December 2021, Kyiv, Ukraine.
Available from: 2022-04-20 Created: 2022-04-20 Last updated: 2023-10-24Bibliographically approved

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Machotka, Ewa

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Citation style
  • apa
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  • Other style
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  • de-DE
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  • en-US
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  • Other locale
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  • html
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  • asciidoc
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