English 238 (2021 F) – Bibliography for Class 9

Bibliography for Class 9 of English 238 (Fall 2021)

Digital Humanities: Introduction to the Field

The following is the part of the English 228 bibliography relevant to this class. (Also see: cumulative course bibliography.)

Ajayi, Demi. “How BERT and GPT Models Change the Game for NLP.” Watson Blog (blog), 2020. https://www.ibm.com/blogs/watson/2020/12/how-bert-and-gpt-models-change-the-game-for-nlp/. Cite
Bender, Emily M., Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell. “On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?” In Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, 610–623. FAccT ’21. Virtual Event, Canada: Association for Computing Machinery, 2021. https://doi.org/10.1145/3442188.3445922. Cite
Heuser, Ryan. “Word Vectors in the Eighteenth Century.” In DH 2017. Montreal: McGill University, Université de Montréal, Alliance of Digital Humanities Organizations (ADHO), 2017. https://dh2017.adho.org/abstracts/582/582.pdf. Cite
Hua, Minh, and Rita Raley. “Playing With Unicorns: AI Dungeon and Citizen NLP.” Digital Humanities Quarterly 014, no. 4 (2020). Cite
King, Adam Daniel. “InferKit Demo,” 2020. https://app.inferkit.com/demo. Cite
Moore, Samuel K., David Schneider, and Eliza Strickland. “How Deep Learning Works.” IEEE Spectrum, 2021. https://spectrum.ieee.org/what-is-deep-learning/neural-network. Cite
Nicholson, Chris. “A Beginner’s Guide to Generative Adversarial Networks (GANs).” Pathmind, n. d. http://wiki.pathmind.com/generative-adversarial-network-gan. Cite
Nicholson, Chris. “A Beginner’s Guide to Neural Networks and Deep Learning.” Pathmind, n. d. http://wiki.pathmind.com/neural-network. Cite
Offert, Fabian. “Intuition and Epistemology of High-Dimensional Vector Space.” Fabian Offert, 2021. https://zentralwerkstatt.org/blog/vsm. Cite
Offert, Fabian, and Peter Bell. “Generative Digital Humanities.” In CEUR Workshop Proceedings, 202–12. Amsterdam: CEUR-WS.org, 2020. http://ceur-ws.org/Vol-2723/short23.pdf. Cite
Schmidt, Benjamin. “Vector Space Models for the Digital Humanities.” Bookworm (blog), 2015. http://bookworm.benschmidt.org/posts/2015-10-25-Word-Embeddings.html. Cite
Schmitt, Phillipp. I Am Sitting In A High-Dimensional Room. 2020. 2-channel audio simulation, 22:16 min. https://philippschmitt.com/work/i-am-sitting-in-a-high-dimensional-room. Cite
Schmitt, Phillipp. “On Being a Vector inside a Neural Network,” 2019. https://philippschmitt.com/writing/on-being-a-vector-inside-a-neural-network. Cite
Thompson, Nicholas. “An AI Pioneer Explains the Evolution of Neural Networks.” Wired, 2019. https://www.wired.com/story/ai-pioneer-explains-evolution-neural-networks/. Cite
Underwood, Ted. “Science Fiction Hasn’t Prepared Us to Imagine Machine Learning.” The Stone and the Shell (blog), 2021. https://tedunderwood.com/2021/02/02/why-sf-hasnt-prepared-us-to-imagine-machine-learning/. Cite