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  6. Chapter 6: Supervised and Unsupervised: Approaches to Machine Learning for Textual Entities

Chapter 6: Supervised and Unsupervised: Approaches to Machine Learning for Textual Entities

DOI: 10.14361/9783839455845-007
  • Photo Hodel, Tobias
    Hodel, Tobias
Aus dem Buch: Archives, Access and Artificial Intelligence. Working with Born-Digital and Digitized Archival Collections
Cover: Archives, Access and Artificial Intelligence
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Beiträge

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Frontmatter

Jaillant, Lise
Contents

Jaillant, Lise
Introduction

Jaillant, Lise
Chapter 1: Artificial Intelligence and Discovering the Digitized Photoarchive

Han, X.Y. | Papyan, Vardan | Prokop, Ellen | Donoho, David L. | Johnson, C. Richard
Chapter 2: Web Archives and the Problem of Access: Prototyping a Researcher Dashboard for the UK Government Web Archive

Bell, Mark | Storrar, Tom | Winters, Jane
Chapter 3: Design Thinking, UX and Born-digital Archives: Solving the Problem of Dark Archives Closed to Users

Jaillant, Lise
Chapter 4: Towards Critically Addressable Data for Digital Library User Studies

Gooding, Paul
Chapter 5: Reviewing the Reviewers: Training Neural Networks to Read Peer Review Reports

Eve, Martin Paul | Gadie, Robert | Odeniyi, Victoria | Parvin, Shahina
Chapter 6: Supervised and Unsupervised: Approaches to Machine Learning for Textual Entities

Hodel, Tobias
Chapter 7: Inviting AI into the Archives: The Reception of Handwritten Recognition Technology into Historical Manuscript Transcription

Terras, Melissa
AFTERWORD: Towards a new Discipline of Computational Archival Science (CAS)

Marciano, Richard
Authors (by order of appearance in the volume)

Jaillant, Lise
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  • Lizenz: cc-by-nc
  • Erschienen: 01. April 2022
  • OA-Förderung: Universität BernUniversität Loughborough
Hodel, Tobias (2022). Chapter 6: Supervised and Unsupervised: Approaches to Machine Learning for Textual Entities. In: Lise Jaillant (Eds.), Archives, Access and Artificial Intelligence (157-178). Bielefeld: transcript Verlag. https://doi.org/10.14361/9783839455845-007

Book DOI: https://doi.org/10.14361/9783839455845

Online ISBN: 978-3-8394-5584-5

© 2022 transcript Verlag. © by-nc 4.0 This work is licensed under the Creative Commons Attribution-NonCommercial 4.0 License (CC BY-NC 4.0)

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