Minjoon Seo (서민준)

Machine Learning Manager (Leader)
Naver Clova AI

Assistant Professor
KAIST AI
(Starting in Spring 2021)

seominjoon@gmail.com
[CV] [Semantic Scholar] [Google Scholar] [GitHub] [Twitter] [Bio]

Minjoon Seo, 2020

I develop products and do research in natural language processing (NLP) and machine learning. My focus has been on the learning model for the extraction of (IE), access to (QA), and interplay of (Reasoning) knowledge in language data. My PhD advisers are Hannaneh Hajishirzi and Ali Farhadi, and my study was supported by Facebook Fellowship and AI2 Key Scientific Challenges Award.


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Selected Papers

Please see my Semantic Scholar or Google Scholar profiles for the full list.

2020

  • Spatial Dependency Parsing for 2D Document Understanding
    Wonseok Hwang, Jinyeong Yim, Seunghyun Park, Sohee Yang, Minjoon Seo
    arXiv:2005.00642
    [paper]

  • Syntactic Question Abstraction and Retrieval for Data-Scarce Semantic Parsing
    Wonseok Hwang, Jinyeong Yim, Seunghyun Park, Minjoon Seo
    AKBC 2020
    [paper]

  • Contextualized Sparse Representations for Real-Time Open-Domain Question Answering
    Jinhyuk Lee, Minjoon Seo, Hannaneh Hajishirzi, Jaewoo Kang
    ACL 2020 (short)
    [paper] [code]

2019

  • A Comprehensive Exploration on WikiSQL with Table-Aware Word Contextualization
    Wonseok Hwang, Jinyeung Yim, Seunghyun Park, Minjoon Seo
    NeurIPS 2019 KR2ML Workshop
    [paper] [code]

  • Mixture Content Selection for Diverse Sequence Generation
    Jaemin Cho, Minjoon Seo, Hannaneh Hajishirzi
    EMNLP 2019
    [paper] [code] [tweet] [blog]

  • Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index
    Minjoon Seo*, Jinhyuk Lee*, Tom Kwiatkowski, Ankur P. Parikh, Ali Farhadi, Hannaneh Hajishirzi
    ACL 2019
    [paper] [code] [demo] [slides.pdf] [slides.pptx] [tweet]

2018

  • 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]

  • Neural Speed Reading via Skim-RNN
    Minjoon Seo*, Sewon Min*, Ali Farhadi, Hannaneh Hajishirzi
    ICLR 2018
    [paper] [poster] [slides]

2017

  • Zero-Shot Relation Extraction via Reading Comprehension
    Omer Levy, Minjoon Seo, Eunsol Choi, Luke Zettlemoyer
    CoNLL 2017
    [paper] [website]

  • Question Answering through Transfer Learning from Large Fine-Grained Supervision Data
    Sewon Min, Minjoon Seo, Hannaneh Hajishirzi
    ACL 2017 (short)
    [paper]

  • 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
    CVPR 2017
    [paper]

  • Bidirectional Attention Flow for Machine Comprehension
    Minjoon Seo, Aniruddha Kembhavi, Ali Farhadi, Hannaneh Hajishirzi
    ICLR 2017
    [paper] [code] [website] [demo]

  • Query-Reduction Networks for Question Answering
    Minjoon Seo, Sewon Min, Ali Farhadi, Hannaneh Hajishirzi
    ICLR 2017
    [paper] [code]

2014-2016

  • A Diagram is Worth a Dozen Images
    Aniruddha Kembhavi, Mike Salvato*, Eric Kolve*, Minjoon Seo, Hannaneh Hajishirzi, Ali Farhadi
    ECCV 2016
    [paper] [dqa-net code]

  • Solving Geometry Problems: Combining Text and Diagram Interpretation
    Minjoon Seo, Hannaneh Hajishirzi, Ali Farhadi, Oren Etzioni, Clint Malcolm
    EMNLP 2015
    [paper] [code] [slides] [website] [demo]

  • 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
    UbiComp 2014
    [paper] [website]

  • Diagram Understanding in Geometry Questions
    Minjoon Seo, Hannaneh Hajishirzi, Ali Farhadi, Oren Etzioni
    AAAI 2014
    [paper] [code] [slides] [website]

* denotes equal contribution.