13 March 2024: Deciphering the past with AI (Gerhard de Kok)
Reading:
- Romein, C. Annemieke, Max Kemman, et.al. “State of the Field: Digital History.” History (London) 105, no. 365 (2020): 291–312. https://onlinelibrary.wiley.com/doi/full/10.1111/1468-229X.12969.
- Monroc, Claire Bizon, Blanche Miret, et. al. “A Comprehensive Study of Open-Source Libraries for Named Entity Recognition on Handwritten Historical Documents.” In Document Analysis Systems, 429–444. Cham: Springer International Publishing, 2022. https://link.springer.com/chapter/10.1007/978-3-031-06555-2_29.
20 March 2024: Studying Ideas at Scale with Text Mining and Machine Learning (Ruben Ros)
Reading:
- Peter de Bolla, Ewan Jones, Paul Nulty, Gabriel Recchia, John Regan. The Idea of Liberty, 1600–1800: A Distributional Concept Analysis. (2020). https://muse.jhu.edu/article/761035
- Barron, Alexander TJ, et al. “Individuals, institutions, and innovation in the debates of the French Revolution.” _Proceedings of the National Academy of Sciences_ 115.18 (2018): 4607-4612. https://www.pnas.org/doi/abs/10.1073/pnas.1717729115.
- Wilson, Daniel CS, et al. “The Living Machine: A Computational Approach to the Nineteenth-Century Language of Technology.” _Technology and Culture_ 64.3 (2023): 875-902.