Scholar
Rebecca M. M. Hicke
Google Scholar ID: VKG-WFIAAAAJ
Cornell University
Citations & Impact
Citations
36
H-index
4
i10-index
1
Publications
13
Co-authors
11
list available
Publications
Resume (English only)
Academic Achievements
- Two papers on focalization analysis at scale and automated narrative analysis of Christian Fiction were accepted at CHR 2025; a paper on sensory language usage in LLMs was accepted at COLM 2025; a new paper on understanding literary style with LLMs was accepted to the 'Expanding the Toolkit: Large Language Models in Humanities Research' special issue of the CHR journal; a new paper introducing a corpus of ~70,000 literary social networks was accepted at NLP4DH 2025; a paper on computationally identifying conceptual metaphors was shortlisted for the Best Short Paper Award at CHR 2024.
Research Experience
- Worked as a research assistant for Ross Deans Kristensen-McLachlan at the Center for Humanities Computing at Aarhus University in the summer of 2024; was a research intern in the AIIL Group at Microsoft, supervised by Kiran Tomlinson, during the summer of 2025; participated in the SUPERB REU at UC Berkeley in the summer of 2021, where she was advised by Sarah Chasins and Aditya Parameswaran.
Education
- Graduated from Carleton College in 2022 with a Bachelor's degree in Computer Science and English, and a minor in Digital Arts and Humanities. Advised by Eric Alexander and George Shuffelton. Currently a fourth-year Ph.D. candidate in Computer Science at Cornell University, advised by David Mimno.
Background
- Research interests: computational humanities research, natural language processing, and cultural analytics. Specifically, exploring how large language models (LLMs) can be used for complex textual, particularly literary, analysis tasks. Also interested in developing research methods and tools for humanities scholars and using literary texts as challenging test cases to explore the real-world capabilities of LLMs.
Miscellany
- Contact: rmh327@cornell.edu
