Rebecca M. M. Hicke

Photo of Rebecca Hicke

I am a second-year Ph.D. student in Computer Science at Cornell University, where I am advised by David Mimno. My research interests lie in Natural Language Processing, Digital Humanities, and Cultural Analytics. Specifically, I explore how large language models (LLMs) may be applied to the study of literary texts, with a dual interest in learning more about literature itself and using literary texts as challenging test cases with which to explore the real-world capabilities of LLMs.

In 2022, I graduated from Carleton College with a Bachelors of Arts in Computer Science and English and a minor in Digital Arts and Humanities. During this time I was advised by Eric Alexander and George Shuffelton. I also participated in the SUPERB REU at UC Berkeley in the summer of 2021, where I was advised by Sarah Chasins and Aditya Parameswaran.

Please feel free to reach out to me by email if you have any questions!

[Lions: 1] and [Tigers: 2] and [Bears: 3], Oh My! Literary Coreference Annotation with LLMs
Rebecca M. M. Hicke and David Mimno
LaTeCH CLfL 2024
T5 meets Tybalt: Author Attribution in Early Modern English Drama Using Large Language Models
Rebecca M. M. Hicke and David Mimno
CHR 2023
Word Clouds in the Wild
Rebecca M. M. Hicke, Maanya Goenka, and Eric Alexander
Vis4DH 2022
‘Let every word weight heavy of her worth’: Examining How Women Enact Power in Shakespeare’s Comedies through Interactive Speech Pattern Visualizations
Rebecca M. M. Hicke and David Mimno
De Gruyter's Computational Drama Analysis: Reflecting Methods and Interpretations
(In press)