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!


Publications
[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
[PDF]
T5 meets Tybalt: Author Attribution in Early Modern English Drama Using Large Language Models
Rebecca M. M. Hicke and David Mimno
CHR 2023
[PDF]
Word Clouds in the Wild
Rebecca M. M. Hicke, Maanya Goenka, and Eric Alexander
Vis4DH 2022
[PDF]
‘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)