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Uncovering the Handwritten Text in the Margins: End-to-end Handwritten Text Detection and Recognition
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Artificial Intelligence. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control.ORCID iD: 0000-0003-4480-3158
2024 (English)In: In Proceedings of the 8th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL 2024), 2024, p. 111-120Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
2024. p. 111-120
National Category
Natural Language Processing
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URN: urn:nbn:se:uu:diva-528458OAI: oai:DiVA.org:uu-528458DiVA, id: diva2:1859693
Conference
8th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL 2024)
Funder
Kjell and Marta Beijer FoundationAvailable from: 2024-05-22 Created: 2024-05-22 Last updated: 2025-02-07Bibliographically approved

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Vats, Ekta

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