Papers & Presentations
Papers
Accepted
BATS: A Spectral Biclustering Approach to Single Document Topic Modeling and Segmentation, with Qiong Wu, Sirui Wang, Yuwei Tu, Zhenming Liu, Christopher G. Brinton, and Yanhua Li. Published in ACM Transactions on Intelligent Systems and Technology (TIST) here; pre-print on arXiv available here.
In Progress
On Extending NLP Techniques from the Categorical to the Latent Space: KL Divergence, Zipf's Law, and Similarity Search, with Yu Chen, Yinan Liu, Zhenming Liu, and Christopher G. Brinton. Pre-print on arXiv available here.
Not Peer-Reviewed
Algorithmic Explanations: To Become a Mockingbird, MSc dissertation, advised by Max Van Kleek.
Learned or Lost? Reproducing Learned in Translation: Contextualized Word Vector, final paper for Advanced Machine Learning 2019.
Classifying News, Satire, and "Fake News": An SVM and Deep Learning Approach, undergraduate senior thesis, advised by Alain Kornhauser. Also available on GitHub.
Presentations
An Investigation into Different Architectures for Learning Word Representations, with Lisa Schut, Hans Hanley, and Aditya Agarwal. Presented at Oxford Computer Science Conference 2019.
The Epic of Gilgamesh presented for Journal Club
Blog Posts
Medium:
Explainable vs Interpretable AI: An Intuitive Example, published by The Startup.
Also available on Substack