Annotations in Scholarly Editions and Research
The notion of annotation is associated in the Humanities and Information Sciences with different concepts that vary in coverage, application and direction of impact, but have conceptual parallels as well. This publication reflects on different practices and associated concepts of annotation, puts them in relation to each other and attempts to ...
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In the last decade, big textual datasets in the humanities have become increasingly more available in the form of raw data. The challenges these datasets raise are twofold. On the one hand, most humanities scholars are not equipped with skills in text and data mining. This remains a barrier to study big data in the humanities.
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Zastosowanie sztucznej inteligencji w edytorstwie naukowym – przykład Moraliów Wacława Potockiego
In the early 2020s, Artificial Intelligence has become extremely popular. Due to new technology, more processes from various fields are subject to automation every day.
Joanna Hałaczkiewicz
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CoPhiEditor: The DSL-Based DSE Methodology within the ERC Advanced Grant 885222-GreekSchools
This paper explores the integration of traditional philological methods with computational approaches, aiming to establish a more effective and rigorous framework for textual studies.
Simone Zenzaro +3 more
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The Genetic Dossier in the Web of Data
While archivists and genetic scholars differ considerably in their methodological frameworks, the digital turn in archival preservation and scholarly editing provides an opportunity to narrow the gap.
Pereira, Elsa
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Editing and publishing scholarly journals in the internet age [PDF]
Kihong Kim
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Scholarly productivity of non-pharmacy practice faculty in U.S. schools and colleges of pharmacy, 2019-2023. [PDF]
Shoair OA +5 more
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Educator's Blueprint: Optimizing the Resident Research Experience. [PDF]
Gottlieb M +4 more
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Use of artificial intelligence tools in the publishing process: expectations from publishers through author guidelines. [PDF]
Chigwada J, Ngulube P.
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KannadaLit4NLP: A comprehensive classical kannada literary dataset of Vachanas, Tripadis, and Kagga with scholarly interpretations for natural language processing. [PDF]
C B, Manjunath S, Guru DS.
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