About Me

I am a first year PhD student at Carnegie Mellon University’s Machine Learning Department (MLD). I am co-advised by Professors Ruslan Salakhutdinov and Yonatan Bisk. I earned my B.S. and M.Eng at MIT, where I worked with Professor Peter Szolovits and Dr. Preethi Raghavan.

I am interested in the following topics:

  • Learning with external knowledge/ weak supervision
  • Efficient/ few-shot robotic navigation with external knowledge
  • Efficient self-supervised/ weakly supervised learning

News

Jul. 6, 2021: I have been chosen as the second place recipient of the Charles & Jennifer Johnson Artificial Intelligence and Decision Making M.Eng Thesis Award for 2021, for my Master’s Thesis “Towards Knowledge-Based, Robust Question Answering.” Thank you once again, Pete and Preethi!

Publications

Entity-Enriched Neural Models for Clinical Question Answering
Proceedings of the 19th SIGBioMed Workshop on Biomedical Language Processing
Bhanu Pratap Singh Rawat, Wei-Hung Weng, So Yeon Min, Preethi Raghavan, Peter Szolovits

Advancing Seq2seq with Joint Paraphrase Learning
Proceedings of the 3rd Clinical Natural Language Processing Workshop
So Yeon Min, Preethi Raghavan, Peter Szolovits

TransINT: Embedding Implication Rules in Knowledge Graphs with Isomorphic Intersections of Linear Subspaces
Automated Knowledge Base Construction 2020
So Yeon Min, Preethi Raghavan, Peter Szolovits

Towards knowledge-based, robust question answering
Master’s Thesis