Clova AI, NAVER
Computer Science & Engineering
University of Washington
Office: CSE 386
Broadly, I do research in natural language processing (NLP). More specifically, I am interested in data-driven and unsupervised learning models for extracting (IE), accessing (QA) and combining (Reasoning) knowledge from natural language. I am advised by Hannaneh Hajishirzi, Ali Farhadi, and Oren Etzioni. I received BS in Electrical Engineering & Computer Science at UC Berkeley. Before coming to UW, I was a software engineer at Oracle.
Keywords: NLP, Machine Learning, AI, Deep Learning, Language & Vision
"Phrase-Indexed Question Answering: A New Challenge for Scalable Document Comprehension" is accepted to EMNLP 2018.
We successfully finished the 1st Workshop on Machine Reading for Question Answering (MRQA) at ACL 2018.
I gave a talk at Microsoft Research.
"Neural speed reading via Skim-RNN" is accepted to ICLR 2018. I also received Travel Award.
I started working at NAVER (Korea).
Phrase-Indexed Question Answering: A New Challenge for Scalable Document Comprehension
Minjoon Seo, Tom Kwiatkowski, Ankur P. Parikh, Ali Farhadi, Hannaneh Hajishirzi
EMNLP 2018 (short)
[paper] [code] [slides] [website] [demo]
Question answering through transfer learning from large fine-grained supervision data
Sewon Min, Minjoon Seo, Hannaneh Hajishirzi
ACL 2017 (short)
Are you smarter than a sixth grader? Textbook question answering for multimodal machine comprehension
Aniruddha Kembhavi, Minjoon Seo, Dustin Schwenk, Jonghyun Choi, Ali Farhadi, Hannaneh Hajishirzi
BiliCam: using mobile phones to monitor newborn jaundice
best paper nomination
Lilian de Greef, Mayank Goel, Minjoon Seo, Eric Larson, James Stout, James Taylor, Shwetak Patel
I enjoy bouldering, playing soccer and playing drum. I love trying out new restaurants with my wonderful fiancée.