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240503 r ||| eng |
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|a 3839455847
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4 |
|a ZA4080
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| 100 |
1 |
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|a Jaillant, Lise
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| 245 |
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|a Archives, Access and Artificial Intelligence
|h [electronic resource]
|h Elektronische Ressource
|b Working with Born-Digital and Digitized Archival Collections
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| 260 |
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|a Bielefeld
|b transcript
|c 2022, 2022
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| 300 |
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|a 225 p.
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|a Chapter 6: Supervised and Unsupervised: Approaches to Machine Learning for Textual Entities -- Chapter 7: Inviting AI into the Archives: The Reception of Handwritten Recognition Technology into Historical Manuscript Transcription -- AFTERWORD: Towards a new Discipline of Computational Archival Science (CAS) -- Authors (by order of appearance in the volume)
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| 505 |
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|a Cover -- Contents -- Introduction -- Chapter 1: Artificial Intelligence and Discovering the Digitized Photoarchive -- Chapter 2: Web Archives and the Problem of Access: Prototyping a Researcher Dashboard for the UK Government Web Archive -- Chapter 3: Design Thinking, UX and Born-digital Archives: Solving the Problem of Dark Archives Closed to Users -- Chapter 4: Towards Critically Addressable Data for Digital Library User Studies -- Chapter 5: Reviewing the Reviewers: Training Neural Networks to Read Peer Review Reports
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| 653 |
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|a SOCIAL SCIENCE / Media Studies
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| 653 |
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|a Social sciences
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| 653 |
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|a Archival materials / Digitization
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b ZDB-39-JOA
|a JSTOR Open Access Books
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| 490 |
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|a Digital Humanities Research
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| 500 |
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|a Description based upon print version of record
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| 776 |
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|z 9783839455845
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| 856 |
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|u https://www.jstor.org/stable/10.2307/jj.11425482
|x Verlag
|3 Volltext
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| 082 |
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|a 025.00285
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