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

Bandyopadhyay, Saptarashmi, Jason Xu, Neel Pawar, and David Touretzky. “Word Embedding Demo: Tutorial.” Proceedings of the AAAI Conference on Artificial Intelligence, 2022. https://ojs.aaai.org/index.php/AAAI/article/view/21548. 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, 610–23. FAccT ’21. Virtual Event, Canada: Association for Computing Machinery, 2021. https://doi.org/10.1145/3442188.3445922. Cite

Blei, David M. “Probabilistic Topic Models.” Communications of the ACM 55, no. 4 (2012): 77–84. https://doi.org/10.1145/2133806.2133826. Cite

Borgatti, Stephen P., Ajay Mehra, Daniel J. Brass, and Giuseppe Labianca. “Network Analysis in the Social Sciences.” Science 323, no. 5916 (2009): 892–95. https://doi.org/10.1126/science.1165821. Cite

Brooks, Cleanth. “The Heresy of Paraphrase.” In The Well Wrought Urn: Studies in the Structure of Poetry, 192–214. New York: Harcourt Brace Jovanovich, 1947. Cite

Firth, J. [John] R. [Rupert]. “A Synopsis of Linguistic Theory, 1930-55.” In Studies in Linguistic Analysis, 1–31. Oxford: Blackwell, 1957. Cite

Goldstone, Andrew. “A Topic Model of Literary Studies Journals,” 2014. https://www.sas.rutgers.edu/virtual/ag978/quiet/#/model/grid. Cite

Goldstone, Andrew, and Ted Underwood. “The Quiet Transformations of Literary Studies: What Thirteen Thousand Scholars Could Tell Us.” New Literary History 45, no. 3 (2014): 359–84. https://doi.org/10.1353/nlh.2014.0025. Cite

Goldstone, Andrew, Susana Galán, C. Laura Lovin, Andrew Mazzaschi, and Lindsey Whitmore. “Topics in Signs: A Topic Model of the Signs Archive.” Signs at 40, 2014. http://signsat40.signsjournal.org/topic-model/#/about. Cite

Gregory, Ian, and David Cooper. “Geographical Technologies and the Interdisciplinary Study of Peoples and Cultures of the Past.” Journal of Victorian Culture 18, no. 2 (2013): 265–72. https://doi.org/10.1080/13555502.2013.797686. Cite

Heuser, Ryan. “Word Vectors in the Eighteenth Century (Blog Posts & Resources).” Ryan Heuser (blog), 2016. https://ryanheuser.org/word-vectors/. Cite

Heuser, Ryan. “Word Vectors in the Eighteenth Century.” In DH 2017. Montreal: ADHO, 2017. Cite

Heuser, Ryan, and Long Le-Khac. A Quantitative Literary History of 2,958 Nineteenth-Century British Novels: The Semantic Cohort Method. Stanford Literary Lab Pamphlets 4. Stanford University: Stanford Literary Lab, 2012. https://litlab.stanford.edu/assets/pdf/LiteraryLabPamphlet4.pdf. Cite

Hua, Minh, and Rita Raley. “Playing With Unicorns: AI Dungeon and Citizen NLP.” Digital Humanities Quarterly 14, no. 4 (2020). http://www.digitalhumanities.org/dhq/vol/14/4/000533/000533.html. Cite

Liu, Yin. “Ways of Reading, Models for Text, and the Usefulness of Dead People.” Scholarly and Research Communication 5, no. 2 (2014). https://doi.org/10.22230/src.2014v5n2a148. Cite

Liu, Alan. “Transcendental Data: Toward a Cultural History and Aesthetics of the New Encoded Discourse.” Critical Inquiry 31, no. 1 (2004): 49–84. https://doi.org/10.1086/427302. Cite

Liu, Alan. “English 197: Introduction to Digital Humanities (Spring 2024).” alanyliu.org, 2024. https://alanyliu.org/course/english-197-introduction-to-digital-humanities-spring-2024/. Cite

Meeks, Elijah, and Scott B. Weingart. “Introduction to Network Analysis and Representation,” n. d. http://emeeks.github.io/networks/. Cite

Michel, Jean-Baptiste, Yuan Kui Shen, Aviva Presser Aiden, Adrian Veres, Matthew K. Gray, The Google Books Team, Joseph P. Pickett, et al. “Quantitative Analysis of Culture Using Millions of Digitized Books.” Science 331, no. 6014 (2011): 176–82. https://doi.org/10.1126/science.1199644. Cite

Moretti, Franco. Graphs, Maps, Trees: Abstract Models for a Literary History. Paperback ed. London: Verso, 2007. Cite

Moretti, Franco. Network Theory, Plot Analysis. Stanford Literary Lab Pamphlets 2. Stanford University: Stanford Literary Lab, 2011. https://litlab.stanford.edu/assets/pdf/LiteraryLabPamphlet2.pdf. Cite

Nicholson, Chris. “A Beginner’s Guide to Neural Networks and Deep Learning.” Pathmind, 2020. http://wiki.pathmind.com/neural-network. Cite

Pascual-Ferrá, Paola, Neil Alperstein, and Daniel J. Barnett. “Social Network Analysis of COVID-19 Public Discourse on Twitter: Implications for Risk Communication.” Disaster Medicine and Public Health Preparedness, 2020, 1–9. https://doi.org/10.1017/dmp.2020.347. Cite

Piper, Andrew. “Topoi (Dispersion).” In Enumerations: Data and Literary Study, 66–93. Chicago: Univ. of Chicago Press, 2019. Cite

Saussure, Ferdinand de. Course in General Linguistics. Edited by Charles Bally and Albert Sechehaye. Translated by Wade Baskin. New York: Philosophical Library, 1959. https://archive.org/details/courseingenerall00saus. 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

Simonite, Tom. “What Really Happened When Google Ousted Timnit Gebru.” Wired, 2021. https://www.wired.com/story/google-timnit-gebru-ai-what-really-happened/. Cite

So, Richard Jean, and Hoyt Long. “Network Analysis and the Sociology of Modernism.” Boundary 2 40, no. 2 (2013): 147–82. https://doi.org/10.1215/01903659-2151839. Cite

So, Richard Jean, and Edwin Roland. “Race and Distant Reading.” PMLA 135, no. 1 (2020): 59–73. https://doi.org/10.1632/pmla.2020.135.1.59. Cite

Underwood, Ted. “Topic Modeling Made Just Simple Enough.” The Stone and the Shell (blog), 2012. https://tedunderwood.com/2012/04/07/topic-modeling-made-just-simple-enough/. Cite

Warner, William, Kimberley Knight, and Transliteracies Project History of Reading Group. In the Beginning Was the Word: A Visualization of the Page as Interface. University of California, Santa Barbara: Transcriptions Center, n. d. http://transliteracies.english.ucsb.edu/images/flash_projects/john-morph.html. Cite

Warren, Christopher N., Daniel Shore, Jessica Otis, Scott B. Weingart, and John Ladd. “Six Degrees of Francis Bacon,” 2015. http://sixdegreesoffrancisbacon.com/. Cite

Warren, Christopher N., Daniel Shore, Jessica Otis, Lawrence Wang, Mike Finegold, and Cosma Shalizi. “Six Degrees of Francis Bacon: A Statistical Method for Reconstructing Large Historical Social Networks.” Digital Humanities Quarterly 010, no. 3 (2016). http://digitalhumanities.org/dhq/vol/10/3/000244/000244.html. Cite