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

Chapters in this book

1. Frontmatter 1
2. Contents 5
3. Introduction 7
4. Chapter 1: Artificial Intelligence and Discovering the Digitized Photoarchive 29
5. Chapter 2: Web Archives and the Problem of Access: Prototyping a Researcher Dashboard for the UK Government Web Archive 61
6. Chapter 3: Design Thinking, UX and Born-digital Archives: Solving the Problem of Dark Archives Closed to Users 83
7. Chapter 4: Towards Critically Addressable Data for Digital Library User Studies 109
8. Chapter 5: Reviewing the Reviewers: Training Neural Networks to Read Peer Review Reports 131
9. Chapter 6: Supervised and Unsupervised: Approaches to Machine Learning for Textual Entities 157
10. Chapter 7: Inviting AI into the Archives: The Reception of Handwritten Recognition Technology into Historical Manuscript Transcription 179
11. AFTERWORD: Towards a new Discipline of Computational Archival Science (CAS) 205
12. Authors (by order of appearance in the volume) 219