Archives, Access and Artificial Intelligence : Working with Born-Digital and Digitized Archival Collections.
| Main Author: | |
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| Format: | eBook |
| Language: | English |
| Published: |
Bielefeld :
transcript,
2022.
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| Edition: | 1st ed. |
| Series: | Digital Humanities Research
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| Subjects: | |
| Online Access: | Click to View |
Table of Contents:
- 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
- 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).